<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">meat</journal-id><journal-title-group><journal-title xml:lang="en">Theory and practice of meat processing</journal-title><trans-title-group xml:lang="ru"><trans-title>Теория и практика переработки мяса</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2414-438X</issn><issn pub-type="epub">2414-441X</issn><publisher><publisher-name>ФГБНУ «Федеральный научный центр пищевых систем им. В.М. Горбатова» РАН</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21323/2414-438X-2023-8-4-335-346</article-id><article-id custom-type="elpub" pub-id-type="custom">meat-301</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Molecular genetic methods for identifying raw materials in meat products: Diversity, opportunities and prospects</article-title><trans-title-group xml:lang="ru"><trans-title>Molecular genetic methods for identifying raw materials in meat products: Diversity, opportunities and prospects</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3621-4321</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Safenkova</surname><given-names>I. V.</given-names></name><name name-style="western" xml:lang="en"><surname>Safenkova</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Irina V. Safenkova, Candidate of Biological Sciences, Senior Researcher, Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><bio xml:lang="en"><p>Irina V. Safenkova, Candidate of Biological Sciences, Senior Researcher, Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><email xlink:type="simple">saf-iri@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9395-705X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Vostrikova</surname><given-names>N. L.</given-names></name><name name-style="western" xml:lang="en"><surname>Vostrikova</surname><given-names>N. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Natalia L. Vostrikova, Doctor of Technical Sciences, Head of the Research Testing Center</p><p>26, Talalikhina str., 109316, Moscow</p><p>Tel.: +7–495–676–95–11 (413)</p></bio><bio xml:lang="en"><p>Natalia L. Vostrikova, Doctor of Technical Sciences, Head of the Research Testing Center</p><p>26, Talalikhina str., 109316, Moscow</p><p>Tel.: +7–495–676–95–11 (413)</p></bio><email xlink:type="simple">n.vostrikova@fncps.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5583-799X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Taranova</surname><given-names>N. A.</given-names></name><name name-style="western" xml:lang="en"><surname>Taranova</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Nadezhda A. Taranova, Candidate of Chemical Sciences, Senior Researcher, Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><bio xml:lang="en"><p>Nadezhda A. Taranova, Candidate of Chemical Sciences, Senior Researcher, Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><email xlink:type="simple">taranovana@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8709-2061</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Zvereva</surname><given-names>E. A.</given-names></name><name name-style="western" xml:lang="en"><surname>Zvereva</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Elena A. Zvereva, Candidate of Biological Sciences, Senior Researcher in the Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><bio xml:lang="en"><p>Elena A. Zvereva, Candidate of Biological Sciences, Senior Researcher in the Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><email xlink:type="simple">zverevaea@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4008-4918</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Dzantiev</surname><given-names>B. B.</given-names></name><name name-style="western" xml:lang="en"><surname>Dzantiev</surname><given-names>B. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Boris B. Dzantiev, Doctor of Chemical Sciences, Head of the Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><bio xml:lang="en"><p>Boris B. Dzantiev, Doctor of Chemical Sciences, Head of the Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><email xlink:type="simple">dzantiev@inbi.ras.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3008-2839</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Zherdev</surname><given-names>A. V.</given-names></name><name name-style="western" xml:lang="en"><surname>Zherdev</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Anatoly V. Zherdev, Doctor of Chemical Sciences, Leading Researcher, Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><bio xml:lang="en"><p>Anatoly V. Zherdev, Doctor of Chemical Sciences, Leading Researcher, Laboratory of Immunobiochemistry, Research Center of Biotechnology</p><p>33, Leninsky Prospect, 119071 Moscow</p><p>Tel.: +7–495–954–31–42</p></bio><email xlink:type="simple">zherdev@inbi.ras.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>A. N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences</institution><country>Россия</country></aff><aff xml:lang="en"><institution>A. N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>V. M. Gorbatov Federal Research Center for Food Systems</institution><country>Россия</country></aff><aff xml:lang="en"><institution>V. M. Gorbatov Federal Research Center for Food Systems</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>11</day><month>01</month><year>2024</year></pub-date><volume>8</volume><issue>4</issue><fpage>335</fpage><lpage>346</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Safenkova I.V., Vostrikova N.L., Taranova N.A., Zvereva E.A., Dzantiev B.B., Zherdev A.V., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Safenkova I.V., Vostrikova N.L., Taranova N.A., Zvereva E.A., Dzantiev B.B., Zherdev A.V.</copyright-holder><copyright-holder xml:lang="en">Safenkova I.V., Vostrikova N.L., Taranova N.A., Zvereva E.A., Dzantiev B.B., Zherdev A.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.meatjournal.ru/jour/article/view/301">https://www.meatjournal.ru/jour/article/view/301</self-uri><abstract><p>In the current economic situation, after easing the Covid pandemic restrictions, almost all laboratories, which are focused on evaluation of the conformity of food products, have faced issues in supplying for their laboratories. In this regard, in the last years many laboratories have been forced to validate new approaches and introduce new methods for assessing conformity of the food products. Very often it is not possible to use only one method to resolve the issue of the food product ingredients, especially for the purpose of traceability of their names and the used raw materials, listed on the label. Survey of the raw food materials to determine whether they correspond to the type name is a simpler task, in contrast to survey of the multicomponent food product. Many researchers have to estimate the opportunities and feasibility of application of various methodologies in their workplaces. Therefore, this review is relevant for the researchers in this field, as it focuses on aspects and special features of similar methodologies. The prospect of molecular genetic methods for identification of the raw materials used for manufacturing of meat products is presented below. This review also represents characteristics of methods for identification of the sources of raw materials used for the manufacturing of the meat products, based on the recognition of species-specific sections within the nucleic acids structures. The variety of methods (hybridization methods, polymerase chain reaction, different types of isothermal amplifications, methods using CRISPR/Cas systems), the principles of their implementation, and achieved analytical characteristics are considered. The capacities and competitive potential of various methods are discussed, as well as approaches being developed to overcome the existing limitations.</p></abstract><trans-abstract xml:lang="ru"><p>In the current economic situation, after easing the Covid pandemic restrictions, almost all laboratories, which are focused on evaluation of the conformity of food products, have faced issues in supplying for their laboratories. In this regard, in the last years many laboratories have been forced to validate new approaches and introduce new methods for assessing conformity of the food products. Very often it is not possible to use only one method to resolve the issue of the food product ingredients, especially for the purpose of traceability of their names and the used raw materials, listed on the label. Survey of the raw food materials to determine whether they correspond to the type name is a simpler task, in contrast to survey of the multicomponent food product. Many researchers have to estimate the opportunities and feasibility of application of various methodologies in their workplaces. Therefore, this review is relevant for the researchers in this field, as it focuses on aspects and special features of similar methodologies. The prospect of molecular genetic methods for identification of the raw materials used for manufacturing of meat products is presented below. This review also represents characteristics of methods for identification of the sources of raw materials used for the manufacturing of the meat products, based on the recognition of species-specific sections within the nucleic acids structures. The variety of methods (hybridization methods, polymerase chain reaction, different types of isothermal amplifications, methods using CRISPR/Cas systems), the principles of their implementation, and achieved analytical characteristics are considered. The capacities and competitive potential of various methods are discussed, as well as approaches being developed to overcome the existing limitations.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>control of meat products composition</kwd><kwd>identification of raw materials</kwd><kwd>molecular genetic analysis</kwd><kwd>amplification analysis</kwd></kwd-group><kwd-group xml:lang="en"><kwd>control of meat products composition</kwd><kwd>identification of raw materials</kwd><kwd>molecular genetic analysis</kwd><kwd>amplification analysis</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">This research was implemented with the financial support of the Russian Science Foundation, project No. 19–16–00108-П.</funding-statement><funding-statement xml:lang="en">This research was implemented with the financial support of the Russian Science Foundation, project No. 19–16–00108-П.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Sajali, N., Wong, S. C., Abu Bakar, S., Khairil Mokhtar, N. F., Manaf, Y. N., Yuswan M. H. et al. (2021). Analytical approaches of meat authentication in food. International Journal of Food Science and Technology, 56(4), 1535–1543. https://doi.org/10.1111/ijfs.14797</mixed-citation><mixed-citation xml:lang="en">Sajali, N., Wong, S. C., Abu Bakar, S., Khairil Mokhtar, N. F., Manaf, Y. N., Yuswan M. H. et al. (2021). Analytical approaches of meat authentication in food. International Journal of Food Science and Technology, 56(4), 1535–1543. https://doi.org/10.1111/ijfs.14797</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Vishnuraj, M. R., Aravind Kumar, N., Vaithiyanathan, S., Barbuddhe, S. B. (2023). Authentication issues in foods of animal origin and advanced molecular techniques for identification and vulnerability assessment. Trends in Food Science and Technology, 138, 164–177. https://doi.org/10.1016/j.tifs.2023.05.019</mixed-citation><mixed-citation xml:lang="en">Vishnuraj, M. R., Aravind Kumar, N., Vaithiyanathan, S., Barbuddhe, S. B. (2023). Authentication issues in foods of animal origin and advanced molecular techniques for identification and vulnerability assessment. Trends in Food Science and Technology, 138, 164–177. https://doi.org/10.1016/j.tifs.2023.05.019</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Silva, A. J., Hellberg, R. S. (2021). Chapter Six — DNA-based techniques for seafood species authentication. Chapter in a book: Advances in Food and Nutrition Research. Vol. 95. Academic Press. 2021. https://doi.org/10.1016/bs.afnr.2020.09.001</mixed-citation><mixed-citation xml:lang="en">Silva, A. J., Hellberg, R. S. (2021). Chapter Six — DNA-based techniques for seafood species authentication. Chapter in a book: Advances in Food and Nutrition Research. Vol. 95. Academic Press. 2021. https://doi.org/10.1016/bs.afnr.2020.09.001</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Stachniuk, A., Sumara, A., Montowska, M., Fornal, E. (2021). Liquid chromatography–mass spectrometry bottom-up proteomic methods in animal species analysis of processed meat for food authentication and the detection of adulterations. Mass Spectrometry Reviews, 40(1), 3–30. https://doi.org/10.1002/mas.21605</mixed-citation><mixed-citation xml:lang="en">Stachniuk, A., Sumara, A., Montowska, M., Fornal, E. (2021). Liquid chromatography–mass spectrometry bottom-up proteomic methods in animal species analysis of processed meat for food authentication and the detection of adulterations. Mass Spectrometry Reviews, 40(1), 3–30. https://doi.org/10.1002/mas.21605</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Karabagias, I. K. (2020). Advances of spectrometric techniques in food analysis and food authentication implemented with chemometrics. Foods, 9(11), Article 1550. https://doi.org/10.3390/foods9111550</mixed-citation><mixed-citation xml:lang="en">Karabagias, I. K. (2020). Advances of spectrometric techniques in food analysis and food authentication implemented with chemometrics. Foods, 9(11), Article 1550. https://doi.org/10.3390/foods9111550</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Chen, X., Peng, S., Liu, C., Zou, X., Ke, Y., Jiang, W. (2019). Development of an indirect competitive enzyme-linked immunosorbent assay for detecting flunixin and 5-hydroxyflunixin residues in bovine muscle and milk. Food and Agricultural Immunology, 30(1), 320–332. https://doi.org/10.1080/09540105.2019.1577365</mixed-citation><mixed-citation xml:lang="en">Chen, X., Peng, S., Liu, C., Zou, X., Ke, Y., Jiang, W. (2019). Development of an indirect competitive enzyme-linked immunosorbent assay for detecting flunixin and 5-hydroxyflunixin residues in bovine muscle and milk. Food and Agricultural Immunology, 30(1), 320–332. https://doi.org/10.1080/09540105.2019.1577365</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Rao, M. S., Chakraborty, G., Murthy, K. S. (2019). Market drivers and discovering technologies in meat species identification. Food Analytical Methods,12(11), 2416–2429. https://doi.org/10.1007/s12161-019-01591-8</mixed-citation><mixed-citation xml:lang="en">Rao, M. S., Chakraborty, G., Murthy, K. S. (2019). Market drivers and discovering technologies in meat species identification. Food Analytical Methods,12(11), 2416–2429. https://doi.org/10.1007/s12161-019-01591-8</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Liu, D., Wang, J., Wu, L., Huang, Y., Zhang, Y., Zhu, M., et al. (2020). Trends in miniaturized biosensors for point-of-care testing. TrAC Trends in Analytical Chemistry, 122, Article 115701. https://doi.org/10.1016/j.trac.2019.115701</mixed-citation><mixed-citation xml:lang="en">Liu, D., Wang, J., Wu, L., Huang, Y., Zhang, Y., Zhu, M., et al. (2020). Trends in miniaturized biosensors for point-of-care testing. TrAC Trends in Analytical Chemistry, 122, Article 115701. https://doi.org/10.1016/j.trac.2019.115701</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Azad, M. A. K., Dey, M., Khanam, F., Biswas, B., Akhter, S. (2023). Authentication of meat and meat products using molecular assays: A review. Journal of Agriculture and Food Research, 12, Article 100586. https://doi.org/10.1016/j.jafr.2023.100586</mixed-citation><mixed-citation xml:lang="en">Azad, M. A. K., Dey, M., Khanam, F., Biswas, B., Akhter, S. (2023). Authentication of meat and meat products using molecular assays: A review. Journal of Agriculture and Food Research, 12, Article 100586. https://doi.org/10.1016/j.jafr.2023.100586</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Adenuga, B. M., Montowska, M. (2023). A systematic review of DNA-based methods in authentication of game and less common meat species. Comprehensive Reviews in Food Science and Food Safety, 22(3), 2112–2160. https://doi.org/10.1111/1541-4337.13142</mixed-citation><mixed-citation xml:lang="en">Adenuga, B. M., Montowska, M. (2023). A systematic review of DNA-based methods in authentication of game and less common meat species. Comprehensive Reviews in Food Science and Food Safety, 22(3), 2112–2160. https://doi.org/10.1111/1541-4337.13142</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Zia, Q., Alawami, M., Mokhtar, N. F. K., Nhari, R. M. H. R., Hanish, I. (2020). Current analytical methods for porcine identification in meat and meat products. Food Chemistry, 324, Article 126664. https://doi.org/10.1016/j.foodchem.2020.126664</mixed-citation><mixed-citation xml:lang="en">Zia, Q., Alawami, M., Mokhtar, N. F. K., Nhari, R. M. H. R., Hanish, I. (2020). Current analytical methods for porcine identification in meat and meat products. Food Chemistry, 324, Article 126664. https://doi.org/10.1016/j.foodchem.2020.126664</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Alikord, M., Momtaz, H., keramat, J., Kadivar, M., Rad, A. H. (2018). Species identification and animal authentication in meat products: A review. Journal of Food Measurement and Characterization, 12(1), 145–155. https://doi.org/10.1007/s11694-017-9625-z</mixed-citation><mixed-citation xml:lang="en">Alikord, M., Momtaz, H., keramat, J., Kadivar, M., Rad, A. H. (2018). Species identification and animal authentication in meat products: A review. Journal of Food Measurement and Characterization, 12(1), 145–155. https://doi.org/10.1007/s11694-017-9625-z</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Zhou, M., Chen, X., Yang, H., Fang, X., Gu, H., Xu, H. (2019). Determination of the binding constant between oligonucleotide-coupled magnetic microspheres and target DNA. ACS Omega, 4(4), 6931–6938. https://doi.org/10.1021/acsomega.8b03654</mixed-citation><mixed-citation xml:lang="en">Zhou, M., Chen, X., Yang, H., Fang, X., Gu, H., Xu, H. (2019). Determination of the binding constant between oligonucleotide-coupled magnetic microspheres and target DNA. ACS Omega, 4(4), 6931–6938. https://doi.org/10.1021/acsomega.8b03654</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Vanjur, L., Carzaniga, T., Casiraghi, L., Chiari, M., Zanchetta, G., Buscaglia, M. (2020). Non-Langmuir kinetics of DNA surface hybridization. Biophysical Journal, 119(5), 989–1001. https://doi.org/10.1016/j.bpj.2020.07.016</mixed-citation><mixed-citation xml:lang="en">Vanjur, L., Carzaniga, T., Casiraghi, L., Chiari, M., Zanchetta, G., Buscaglia, M. (2020). Non-Langmuir kinetics of DNA surface hybridization. Biophysical Journal, 119(5), 989–1001. https://doi.org/10.1016/j.bpj.2020.07.016</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Dai, Z., Qiao, J., Yang, S., Hu, S., Zuo, J., Zhu, W. et al. (2015). Species authentication of common meat based on PCR Analysis of the mitochondrial COI gene. Applied Biochemistry and Biotechnology, 176(6), 1770–1780. https://doi.org/10.1007/s12010-015-1715-y</mixed-citation><mixed-citation xml:lang="en">Dai, Z., Qiao, J., Yang, S., Hu, S., Zuo, J., Zhu, W. et al. (2015). Species authentication of common meat based on PCR Analysis of the mitochondrial COI gene. Applied Biochemistry and Biotechnology, 176(6), 1770–1780. https://doi.org/10.1007/s12010-015-1715-y</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Kumar, A., Kumar, R. R., Sharma, B. D., Gokulakrishnan, P., Mendiratta S. K., Sharma, D. (2015). Identification of species origin of meat and meat products on the DNA Basis: A review. Critical Reviews in Food Science and Nutrition, 55(10), 1340–1351. https://doi.org/10.1080/10408398.2012.693978</mixed-citation><mixed-citation xml:lang="en">Kumar, A., Kumar, R. R., Sharma, B. D., Gokulakrishnan, P., Mendiratta S. K., Sharma, D. (2015). Identification of species origin of meat and meat products on the DNA Basis: A review. Critical Reviews in Food Science and Nutrition, 55(10), 1340–1351. https://doi.org/10.1080/10408398.2012.693978</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Ren, J., Deng, T., Huang, W., Chen, Y., Ge, Y. (2017). A digital PCR method for identifying and quantifying adulteration of meat species in raw and processed food. PLOS One, 12(3), Article e0173567. https://doi.org/10.1371/journal.pone.0173567</mixed-citation><mixed-citation xml:lang="en">Ren, J., Deng, T., Huang, W., Chen, Y., Ge, Y. (2017). A digital PCR method for identifying and quantifying adulteration of meat species in raw and processed food. PLOS One, 12(3), Article e0173567. https://doi.org/10.1371/journal.pone.0173567</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kaltenbrunner, M., Hochegger, R., Cichna-Markl, M. (2018). Development and validation of a fallow deer (Dama dama) - specific TaqMan real-time PCR assay for the detection of food adulteration. Food Chemistry, 243, 82–90. https://doi.org/10.1016/j.foodchem.2017.09.087</mixed-citation><mixed-citation xml:lang="en">Kaltenbrunner, M., Hochegger, R., Cichna-Markl, M. (2018). Development and validation of a fallow deer (Dama dama) - specific TaqMan real-time PCR assay for the detection of food adulteration. Food Chemistry, 243, 82–90. https://doi.org/10.1016/j.foodchem.2017.09.087</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Dohno, C., Nakatani, K. (2011). Control of DNA hybridization by photoswitchable molecular glue. Chemical Society Reviews, 40(12), 5718–5729. https://doi.org/10.1039/C1CS15062F</mixed-citation><mixed-citation xml:lang="en">Dohno, C., Nakatani, K. (2011). Control of DNA hybridization by photoswitchable molecular glue. Chemical Society Reviews, 40(12), 5718–5729. https://doi.org/10.1039/C1CS15062F</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Baur, C., Teifel-Greding, J., Liebhardt, E. (1987). Spezifizierung hitzedenaturierter fleischproben durch DNA-analyse. Archiv für Lebensmittelhygiene, 38(6), 172–174.</mixed-citation><mixed-citation xml:lang="en">Baur, C., Teifel-Greding, J., Liebhardt, E. (1987). Spezifizierung hitzedenaturierter fleischproben durch DNA-analyse. Archiv für Lebensmittelhygiene, 38(6), 172–174.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Chikuni, K., Ozutsumi, K., Koishikawa, T., Kato, S. (1990). Species identification of cooked meats by DNA hybridization. Meat Science, 27(2), 119–128. https://doi.org/10.1016/0309-1740(90)90060-J</mixed-citation><mixed-citation xml:lang="en">Chikuni, K., Ozutsumi, K., Koishikawa, T., Kato, S. (1990). Species identification of cooked meats by DNA hybridization. Meat Science, 27(2), 119–128. https://doi.org/10.1016/0309-1740(90)90060-J</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Sassolas, A., Leca-Bouvier, B. D., Blum, L. J. (2008). DNA biosensors and microarrays, Chemical Reviews, 108(1), 109–139. https://doi.org/10.1021/cr0684467</mixed-citation><mixed-citation xml:lang="en">Sassolas, A., Leca-Bouvier, B. D., Blum, L. J. (2008). DNA biosensors and microarrays, Chemical Reviews, 108(1), 109–139. https://doi.org/10.1021/cr0684467</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Sun, Y., Kiang, C.-H. (2005). DNA-based artificial nanostructures: Fabrication, properties, and applications. Chapter in a book: Handbook of Nanostructured Biomaterials and Their Applications in Nanobiotechnology. Vol. 1–2. American Scientific Publishers. Valencia, California. 2005. https://doi.org/10.48550/arXiv.physics/0503114</mixed-citation><mixed-citation xml:lang="en">Sun, Y., Kiang, C.-H. (2005). DNA-based artificial nanostructures: Fabrication, properties, and applications. Chapter in a book: Handbook of Nanostructured Biomaterials and Their Applications in Nanobiotechnology. Vol. 1–2. American Scientific Publishers. Valencia, California. 2005. https://doi.org/10.48550/arXiv.physics/0503114</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Ali, M., Hashim, U., Mustafa, S., Man, Y. C., Yusop, M., Bari, M. et al. (2011). Nanoparticle sensor for label free detection of swine DNA in mixed biological samples. Nanotechnology, 22(19). Article 195503. https://doi.org/10.1088/0957-4484/22/19/195503</mixed-citation><mixed-citation xml:lang="en">Ali, M., Hashim, U., Mustafa, S., Man, Y. C., Yusop, M., Bari, M. et al. (2011). Nanoparticle sensor for label free detection of swine DNA in mixed biological samples. Nanotechnology, 22(19). Article 195503. https://doi.org/10.1088/0957-4484/22/19/195503</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Ali, M. E., Hashim, U., Mustafa, S., Che Man, Y. B., Adam, T., Humayun, Q. (2014). Nanobiosensor for the detection and quantification of pork adulteration in meatball formulation. Journal of Experimental Nanoscience, 9(2), 152–160. https://doi.org/10.1080/17458080.2011.640946</mixed-citation><mixed-citation xml:lang="en">Ali, M. E., Hashim, U., Mustafa, S., Che Man, Y. B., Adam, T., Humayun, Q. (2014). Nanobiosensor for the detection and quantification of pork adulteration in meatball formulation. Journal of Experimental Nanoscience, 9(2), 152–160. https://doi.org/10.1080/17458080.2011.640946</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Ali, M., Hashim, U., Mustafa, S., Man, Y. C., Islam, K. N. (2012).Gold nanoparticle sensor for the visual detection of pork adulteration in meatball formulation. Journal of Nanomaterials, 2012, 103607. https://doi.org/10.1155/2012/103607</mixed-citation><mixed-citation xml:lang="en">Ali, M., Hashim, U., Mustafa, S., Man, Y. C., Islam, K. N. (2012).Gold nanoparticle sensor for the visual detection of pork adulteration in meatball formulation. Journal of Nanomaterials, 2012, 103607. https://doi.org/10.1155/2012/103607</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Han, H., Yi, W., Hou, D., Huang, T., Hao, Z. (2015). AuNPs-based colorimetric assay for identification of chicken tissues in meat and meat products. Journal of Nanomaterials, 2015, Article 469267. https://doi.org/10.1155/2015/469267</mixed-citation><mixed-citation xml:lang="en">Han, H., Yi, W., Hou, D., Huang, T., Hao, Z. (2015). AuNPs-based colorimetric assay for identification of chicken tissues in meat and meat products. Journal of Nanomaterials, 2015, Article 469267. https://doi.org/10.1155/2015/469267</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Kuswandi, B., Gani, A. A., Kristiningrum, N., Ahmad, M. B. (2017). Ahmad Simple colorimetric DNA biosensor based on gold nanoparticles for pork adulteration detection in processed meats. Sensors &amp; Transducers, 208(1), 7–13.</mixed-citation><mixed-citation xml:lang="en">Kuswandi, B., Gani, A. A., Kristiningrum, N., Ahmad, M. B. (2017). Ahmad Simple colorimetric DNA biosensor based on gold nanoparticles for pork adulteration detection in processed meats. Sensors &amp; Transducers, 208(1), 7–13.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Houhoula, D., Kouzilou, M., Tzogias, C., Kyrana, V., Sflomos, C., Tsaknis, J. et al. (2017). Effectual gold nanoprobe sensor for screening horse adulteration in meat products. Journal of Food Research, 6(4), 34–39. https://doi.org/10.5539/jfr.v6n4p34</mixed-citation><mixed-citation xml:lang="en">Houhoula, D., Kouzilou, M., Tzogias, C., Kyrana, V., Sflomos, C., Tsaknis, J. et al. (2017). Effectual gold nanoprobe sensor for screening horse adulteration in meat products. Journal of Food Research, 6(4), 34–39. https://doi.org/10.5539/jfr.v6n4p34</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Javanmard, M., Talasaz, A. H., Nemat-Gorgani, M., Pease, F., Ronaghi, M., Davis, R. W. (2009). Electrical detection of protein biomarkers using bioactivated microfluidic channels. Lab on a Chip, 9(10), 1429–1434. https://doi.org/10.1039/B818872F</mixed-citation><mixed-citation xml:lang="en">Javanmard, M., Talasaz, A. H., Nemat-Gorgani, M., Pease, F., Ronaghi, M., Davis, R. W. (2009). Electrical detection of protein biomarkers using bioactivated microfluidic channels. Lab on a Chip, 9(10), 1429–1434. https://doi.org/10.1039/B818872F</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Ballin, N. Z., Vogensen, F. K., Karlsson, A. H. (2009). Species determination — Can we detect and quantify meat adulteration? Meat Science, 83(2, 165–174. https://doi.org/10.1016/j.meatsci.2009.06.003</mixed-citation><mixed-citation xml:lang="en">Ballin, N. Z., Vogensen, F. K., Karlsson, A. H. (2009). Species determination — Can we detect and quantify meat adulteration? Meat Science, 83(2, 165–174. https://doi.org/10.1016/j.meatsci.2009.06.003</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Buntjer J. B., Lamine, A., Haagsma, N., Lenstra, J. A. (1999). Species identification by oligonucleotide hybridisation: The influence of processing of meat products. Journal of the Science of Food and Agriculture, 79(1), 53–57. https://doi.org/10.1002/(SICI)1097-0010(199901)79:1%3C53::AID-JSFA171%3E3.0.CO;2-E</mixed-citation><mixed-citation xml:lang="en">Buntjer J. B., Lamine, A., Haagsma, N., Lenstra, J. A. (1999). Species identification by oligonucleotide hybridisation: The influence of processing of meat products. Journal of the Science of Food and Agriculture, 79(1), 53–57. https://doi.org/10.1002/(SICI)1097-0010(199901)79:1%3C53::AID-JSFA171%3E3.0.CO;2-E</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Zhao, L., Hu, Y., Liu, W., Wu, H., Xiao, J., Zhang, C. et al. (2020). Identification of camel species in food products by a polymerase chain reaction-lateral flow immunoassa. Food Chemistry, 319, Article 126538. https://doi.org/10.1016/j.foodchem.2020.126538</mixed-citation><mixed-citation xml:lang="en">Zhao, L., Hu, Y., Liu, W., Wu, H., Xiao, J., Zhang, C. et al. (2020). Identification of camel species in food products by a polymerase chain reaction-lateral flow immunoassa. Food Chemistry, 319, Article 126538. https://doi.org/10.1016/j.foodchem.2020.126538</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Zhao, L., Hua, M. Z., Li, S., Liu, J., Zheng, W., Lu, X. (2019). Identification of donkey meat in foods using species-specific PCR combined with lateral flow immunoassay. RSC Advances, 9(46), 26552–26558. https://doi.org/10.1039/C9RA05060D</mixed-citation><mixed-citation xml:lang="en">Zhao, L., Hua, M. Z., Li, S., Liu, J., Zheng, W., Lu, X. (2019). Identification of donkey meat in foods using species-specific PCR combined with lateral flow immunoassay. RSC Advances, 9(46), 26552–26558. https://doi.org/10.1039/C9RA05060D</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, H., Meng, X., Yao, L., Wu, Q., Yao, B., Chen, Z. et al. (2023). Accurate molecular identification of different meat adulterations without carryover contaminations on a microarray chip PCR-directed microfluidic lateral flow strip device. Food Chemistry: Molecular Sciences, 7, Article 100180. https://doi.org/10.1016/j.fochms.2023.100180</mixed-citation><mixed-citation xml:lang="en">Wang, H., Meng, X., Yao, L., Wu, Q., Yao, B., Chen, Z. et al. (2023). Accurate molecular identification of different meat adulterations without carryover contaminations on a microarray chip PCR-directed microfluidic lateral flow strip device. Food Chemistry: Molecular Sciences, 7, Article 100180. https://doi.org/10.1016/j.fochms.2023.100180</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Raja Nhari, R. M. H., Soh, J. H., Khairil Mokhtar, N. F., Mohammad, N. A., Mohd Hashim, A. (2023). Halal authentication using lateral flow devices for detection of pork adulteration in meat products: A review. Food Additives &amp; Contaminants: Part A, 40(8), 971–980. https://doi.org/10.1080/19440049.2023.2242955</mixed-citation><mixed-citation xml:lang="en">Raja Nhari, R. M. H., Soh, J. H., Khairil Mokhtar, N. F., Mohammad, N. A., Mohd Hashim, A. (2023). Halal authentication using lateral flow devices for detection of pork adulteration in meat products: A review. Food Additives &amp; Contaminants: Part A, 40(8), 971–980. https://doi.org/10.1080/19440049.2023.2242955</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Ivanov, A. V., Safenkova, I. V., Zherdev, A. V., Dzantiev, B. B. (2021). The potential use of isothermal amplification assays for in-field diagnostics of plant pathogens. Plants, 10(11), Article 2424. https://doi.org/10.3390/plants10112424</mixed-citation><mixed-citation xml:lang="en">Ivanov, A. V., Safenkova, I. V., Zherdev, A. V., Dzantiev, B. B. (2021). The potential use of isothermal amplification assays for in-field diagnostics of plant pathogens. Plants, 10(11), Article 2424. https://doi.org/10.3390/plants10112424</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Karabasanavar, N.S., Singh, S.P., Kumar, D., Shebannavar, S.N. (2014). Detection of pork adulteration by highly-specific PCR assay of mitochondrial D-loop. Food Chemistry, 145, 530–534. https://doi.org/10.1016/j.foodchem.2013.08.084</mixed-citation><mixed-citation xml:lang="en">Karabasanavar, N.S., Singh, S.P., Kumar, D., Shebannavar, S.N. (2014). Detection of pork adulteration by highly-specific PCR assay of mitochondrial D-loop. Food Chemistry, 145, 530–534. https://doi.org/10.1016/j.foodchem.2013.08.084</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Iskakova, A. N., Abitayeva, G. K., Abeev, A. B., Sarmurzina, Z. S. (2022). Meta-anaysis data of the accuracy of tests for meat adulteration by real-time PCR. Data in Brief, 41, Article 107972. https://doi.org/10.1016/j.dib.2022.107972</mixed-citation><mixed-citation xml:lang="en">Iskakova, A. N., Abitayeva, G. K., Abeev, A. B., Sarmurzina, Z. S. (2022). Meta-anaysis data of the accuracy of tests for meat adulteration by real-time PCR. Data in Brief, 41, Article 107972. https://doi.org/10.1016/j.dib.2022.107972</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Li, J., Wei, Y., Li, J., Liu, R., Xu, S., Xiong, S. et al. (2021). A novel duplex SYBR Green real-time PCR with melting curve analysis method for beef adulteration detection. Food Chemistry, 338, Article 127932. https://doi.org/10.1016/j.foodchem.2020.127932</mixed-citation><mixed-citation xml:lang="en">Li, J., Wei, Y., Li, J., Liu, R., Xu, S., Xiong, S. et al. (2021). A novel duplex SYBR Green real-time PCR with melting curve analysis method for beef adulteration detection. Food Chemistry, 338, Article 127932. https://doi.org/10.1016/j.foodchem.2020.127932</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Li, J., Li, J., Liu, R., Wei, Y., Wang, S. (2021). Identification of eleven meat species in foodstuff by a hexaplex real-time PCR with melting curve analysis. Food Control, 121, Article 107599. https://doi.org/10.1016/j.foodcont.2020.107599</mixed-citation><mixed-citation xml:lang="en">Li, J., Li, J., Liu, R., Wei, Y., Wang, S. (2021). Identification of eleven meat species in foodstuff by a hexaplex real-time PCR with melting curve analysis. Food Control, 121, Article 107599. https://doi.org/10.1016/j.foodcont.2020.107599</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Mohamad, N. A., Mustafa, S., Khairil Mokhtar, N. F., El Sheikha, A. F. (2018). Molecular beacon-based real-time PCR method for detection of porcine DNA in gelatin and gelatin capsules. Journal of the Science of Food and Agriculture,98(12), 4570–4577. https://doi.org/10.1002/jsfa.8985</mixed-citation><mixed-citation xml:lang="en">Mohamad, N. A., Mustafa, S., Khairil Mokhtar, N. F., El Sheikha, A. F. (2018). Molecular beacon-based real-time PCR method for detection of porcine DNA in gelatin and gelatin capsules. Journal of the Science of Food and Agriculture,98(12), 4570–4577. https://doi.org/10.1002/jsfa.8985</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Khairil Mokhtar, N. F., El Sheikha, A. F., Azmi, N. I., Mustafa, S. (2020). Potential authentication of various meat-based products using simple and efficient DNA extraction method. Journal of the Science of Food and Agriculture, 100(4), 1687–1693. https://doi.org/10.1002/jsfa.10183</mixed-citation><mixed-citation xml:lang="en">Khairil Mokhtar, N. F., El Sheikha, A. F., Azmi, N. I., Mustafa, S. (2020). Potential authentication of various meat-based products using simple and efficient DNA extraction method. Journal of the Science of Food and Agriculture, 100(4), 1687–1693. https://doi.org/10.1002/jsfa.10183</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, Z., Wang, Z., Li, T., Qiao, L., Liu, R., Zhao, Y. et al. (2020). Real-time PCR based on single-copy housekeeping genes for quantitative detection of goat meat adulteration with pork. International Journal of Food Science and Technology, 55(2), 553–558. https://doi.org/10.1111/ijfs.14350</mixed-citation><mixed-citation xml:lang="en">Wang, Z., Wang, Z., Li, T., Qiao, L., Liu, R., Zhao, Y. et al. (2020). Real-time PCR based on single-copy housekeeping genes for quantitative detection of goat meat adulteration with pork. International Journal of Food Science and Technology, 55(2), 553–558. https://doi.org/10.1111/ijfs.14350</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Uddin, S. M. K., Hossain, M. A. M., Chowdhury, Z. Z., Johan, M. R. B. (2021). Short targeting multiplex PCR assay to detect and discriminate beef, buffalo, chicken, duck, goat, sheep and pork DNA in food products. Food Additives and Contaminants: Part A., 38(8), 1273–1288. https://doi.org/10.1080/19440049.2021.1925748</mixed-citation><mixed-citation xml:lang="en">Uddin, S. M. K., Hossain, M. A. M., Chowdhury, Z. Z., Johan, M. R. B. (2021). Short targeting multiplex PCR assay to detect and discriminate beef, buffalo, chicken, duck, goat, sheep and pork DNA in food products. Food Additives and Contaminants: Part A., 38(8), 1273–1288. https://doi.org/10.1080/19440049.2021.1925748</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Liu, G.-Q., Luo, J.-X., Xu, W.-L., Li, C.-D., Guo, Y.-S., Guo, L. (2021). Improved triplex real-time PCR with endogenous control for synchronous identification of DNA from chicken, duck, and goose meat. Food Science and Nutrition, 9(6), 3130–3141. https://doi.org/10.1002/fsn3.2272</mixed-citation><mixed-citation xml:lang="en">Liu, G.-Q., Luo, J.-X., Xu, W.-L., Li, C.-D., Guo, Y.-S., Guo, L. (2021). Improved triplex real-time PCR with endogenous control for synchronous identification of DNA from chicken, duck, and goose meat. Food Science and Nutrition, 9(6), 3130–3141. https://doi.org/10.1002/fsn3.2272</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Qin, P., Qu, W., Xu, J., Qiao, D., Yao, L., Xue, F. et al. (2019). A sensitive multiplex PCR protocol for simultaneous detection of chicken, duck, and pork in beef samples. Journal of Food Science and Technology, 56, 1266–1274. https://doi.org/10.1007/s13197-019-03591-2</mixed-citation><mixed-citation xml:lang="en">Qin, P., Qu, W., Xu, J., Qiao, D., Yao, L., Xue, F. et al. (2019). A sensitive multiplex PCR protocol for simultaneous detection of chicken, duck, and pork in beef samples. Journal of Food Science and Technology, 56, 1266–1274. https://doi.org/10.1007/s13197-019-03591-2</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Basanisi, M. G., La Bella, G., Nobili, G., Coppola, R., Damato, A. M., Cafiero, M. A. et al. (2020). Application of the novel droplet digital PCR technology for identification of meat species. International Journal of Food Science and Technology, 55(3), 1145–1150. https://doi.org/10.1111/ijfs.14486</mixed-citation><mixed-citation xml:lang="en">Basanisi, M. G., La Bella, G., Nobili, G., Coppola, R., Damato, A. M., Cafiero, M. A. et al. (2020). Application of the novel droplet digital PCR technology for identification of meat species. International Journal of Food Science and Technology, 55(3), 1145–1150. https://doi.org/10.1111/ijfs.14486</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, Q., Cai, Y., He, Y., Yang, L., Li, J., Pan, L. (2018). Droplet digital PCR (ddPCR) method for the detection and quantification of goat and sheep derivatives in commercial meat products. European Food Research and Technology, 244(4), 767–774. https://doi.org/10.1007/s00217-017-3000-5</mixed-citation><mixed-citation xml:lang="en">Wang, Q., Cai, Y., He, Y., Yang, L., Li, J., Pan, L. (2018). Droplet digital PCR (ddPCR) method for the detection and quantification of goat and sheep derivatives in commercial meat products. European Food Research and Technology, 244(4), 767–774. https://doi.org/10.1007/s00217-017-3000-5</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Yu, N., Ren, J., Huang, W., Xing, R., Deng, T., Chen, Y. (2021). An effective analytical droplet digital PCR approach for identification and quantification of fur-bearing animal meat in raw and processed food. Food Chemistry, 355, Article 129525. https://doi.org/10.1016/j.foodchem.2021.129525</mixed-citation><mixed-citation xml:lang="en">Yu, N., Ren, J., Huang, W., Xing, R., Deng, T., Chen, Y. (2021). An effective analytical droplet digital PCR approach for identification and quantification of fur-bearing animal meat in raw and processed food. Food Chemistry, 355, Article 129525. https://doi.org/10.1016/j.foodchem.2021.129525</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Kumar, Y. (2021). Isothermal amplification-based methods for assessment of microbiological safety and authenticity of meat and meat products. Food Control, 121, Article 107679. https://doi.org/10.1016/j.foodcont.2020.107679</mixed-citation><mixed-citation xml:lang="en">Kumar, Y. (2021). Isothermal amplification-based methods for assessment of microbiological safety and authenticity of meat and meat products. Food Control, 121, Article 107679. https://doi.org/10.1016/j.foodcont.2020.107679</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Glokler, J., Lim, T. S., Ida, J., Frohme, M. (2021). Isothermal amplifications — a comprehensive review on current methods. Critical Reviews in Biochemistry and Molecular Biology, 56(6), 543–586. https://doi.org/10.1080/10409238.2021.1937927</mixed-citation><mixed-citation xml:lang="en">Glokler, J., Lim, T. S., Ida, J., Frohme, M. (2021). Isothermal amplifications — a comprehensive review on current methods. Critical Reviews in Biochemistry and Molecular Biology, 56(6), 543–586. https://doi.org/10.1080/10409238.2021.1937927</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Piepenburg, O., Williams, C. H., Stemple, D. L., Armes, N. A. (2006). DNA detection using recombination proteins. PLOS Biology, 4(7), 1115–1121. https://doi.org/10.1371/journal.pbio.0040204</mixed-citation><mixed-citation xml:lang="en">Piepenburg, O., Williams, C. H., Stemple, D. L., Armes, N. A. (2006). DNA detection using recombination proteins. PLOS Biology, 4(7), 1115–1121. https://doi.org/10.1371/journal.pbio.0040204</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Notomi, T., Okayama, H., Masubuchi, H., Yonekawa, T., Watanabe, K., Amino, N. et al. (2000). Loop-mediated isothermal amplification of DNA. Nucleic Acids Research, 28(12), Article E63. https://doi.org/10.1093/nar/28.12.e63</mixed-citation><mixed-citation xml:lang="en">Notomi, T., Okayama, H., Masubuchi, H., Yonekawa, T., Watanabe, K., Amino, N. et al. (2000). Loop-mediated isothermal amplification of DNA. Nucleic Acids Research, 28(12), Article E63. https://doi.org/10.1093/nar/28.12.e63</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Fire, A., Xu, S. Q. (1995). Rolling replication of short DNA circles. Proceedings of the National Academy of Sciences of the United States of America, 92(10), 4641–4645. https://doi.org/10.1073/pnas.92.10.4641</mixed-citation><mixed-citation xml:lang="en">Fire, A., Xu, S. Q. (1995). Rolling replication of short DNA circles. Proceedings of the National Academy of Sciences of the United States of America, 92(10), 4641–4645. https://doi.org/10.1073/pnas.92.10.4641</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Kissenkotter, J., Bohlken-Fascher, S., Forrest, M. S., Piepenburg, O., Czerny, C. P., Abd El Wahed, A. (2020). Recombinase polymerase amplification assays for the identification of pork and horsemeat. Food Chemistry, 322, Article 126759. https://doi.org/10.1016/j.foodchem.2020.126759</mixed-citation><mixed-citation xml:lang="en">Kissenkotter, J., Bohlken-Fascher, S., Forrest, M. S., Piepenburg, O., Czerny, C. P., Abd El Wahed, A. (2020). Recombinase polymerase amplification assays for the identification of pork and horsemeat. Food Chemistry, 322, Article 126759. https://doi.org/10.1016/j.foodchem.2020.126759</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Cao, Y., Zheng, K., Jiang, J., Wu, J., Shi, F., Song, X. et al. (2018). A novel method to detect meat adulteration by recombinase polymerase amplification and SYBR green I. Food Chemistry, 266, 73–78. https://doi.org/10.1016/j.foodchem.2018.05.115</mixed-citation><mixed-citation xml:lang="en">Cao, Y., Zheng, K., Jiang, J., Wu, J., Shi, F., Song, X. et al. (2018). A novel method to detect meat adulteration by recombinase polymerase amplification and SYBR green I. Food Chemistry, 266, 73–78. https://doi.org/10.1016/j.foodchem.2018.05.115</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Ivanov, A.V., Popravko, D. S., Safenkova, I. V., Zvereva, E. A., Dzantiev, B. B., Zherdev, A. V. (2021). Rapid full-cycle technique to control adulteration of meat products: Integration of accelerated sample preparation, recombinase polymerase amplification, and test-strip detection. Molecules, 26(22), Article 6804. https://doi.org/10.3390/molecules26226804</mixed-citation><mixed-citation xml:lang="en">Ivanov, A.V., Popravko, D. S., Safenkova, I. V., Zvereva, E. A., Dzantiev, B. B., Zherdev, A. V. (2021). Rapid full-cycle technique to control adulteration of meat products: Integration of accelerated sample preparation, recombinase polymerase amplification, and test-strip detection. Molecules, 26(22), Article 6804. https://doi.org/10.3390/molecules26226804</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Kumar, D., Kumar, R. R., Rana, P., Mendiratta, S. K., Agarwal, R. K., Singh, P. et al. (2021).On point identification of species origin of food animals by recombinase polymerase amplification-lateral flow (RPA-LF) assay targeting mitochondrial gene sequences. Journal of Food Science and Technology, 58(4), 1286–1294. https://doi.org/10.1007/s13197-020-04637-6</mixed-citation><mixed-citation xml:lang="en">Kumar, D., Kumar, R. R., Rana, P., Mendiratta, S. K., Agarwal, R. K., Singh, P. et al. (2021).On point identification of species origin of food animals by recombinase polymerase amplification-lateral flow (RPA-LF) assay targeting mitochondrial gene sequences. Journal of Food Science and Technology, 58(4), 1286–1294. https://doi.org/10.1007/s13197-020-04637-6</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Lin, L., Zheng, Y., Huang, H., Zhuang, F., Chen, H., Zha, G. et al. (2021). A visual method to detect meat adulteration by recombinase polymerase amplification combined with lateral flow dipstick. Food Chemistry, 354, Article 129526. https://doi.org/10.1016/j.foodchem.2021.129526</mixed-citation><mixed-citation xml:lang="en">Lin, L., Zheng, Y., Huang, H., Zhuang, F., Chen, H., Zha, G. et al. (2021). A visual method to detect meat adulteration by recombinase polymerase amplification combined with lateral flow dipstick. Food Chemistry, 354, Article 129526. https://doi.org/10.1016/j.foodchem.2021.129526</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Szanto-Egesz, R., Janosi, A., Mohr, A., Szalai, G., Szabo, E. K., Micsinai, A. et al. (2016). Breed-Specific Detection of Mangalica Meat in Food Products. Food Analytical Methods, 9, 889–894. https://doi.org/10.1007/s12161-015-0261-0</mixed-citation><mixed-citation xml:lang="en">Szanto-Egesz, R., Janosi, A., Mohr, A., Szalai, G., Szabo, E. K., Micsinai, A. et al. (2016). Breed-Specific Detection of Mangalica Meat in Food Products. Food Analytical Methods, 9, 889–894. https://doi.org/10.1007/s12161-015-0261-0</mixed-citation></citation-alternatives></ref><ref id="cit62"><label>62</label><citation-alternatives><mixed-citation xml:lang="ru">Li, T., Jalbani, Y. M., Zhang, G., Zhao, Z., Wang, Z., Zhao, Y. et al. (2019). Rapid authentication of mutton products by recombinase polymerase amplification coupled with lateral flow dipsticks. Sensors and Actuators B: Chemical, 290, 242–248. https://doi.org/10.1016/j.snb.2019.03.018</mixed-citation><mixed-citation xml:lang="en">Li, T., Jalbani, Y. M., Zhang, G., Zhao, Z., Wang, Z., Zhao, Y. et al. (2019). Rapid authentication of mutton products by recombinase polymerase amplification coupled with lateral flow dipsticks. Sensors and Actuators B: Chemical, 290, 242–248. https://doi.org/10.1016/j.snb.2019.03.018</mixed-citation></citation-alternatives></ref><ref id="cit63"><label>63</label><citation-alternatives><mixed-citation xml:lang="ru">Fu, M., Zhang, Q., Zhou, X., Liu, B. (2020). Recombinase polymerase amplification based multiplex lateral flow dipstick for fast identification of duck ingredient in adulterated beef. Animals, 10(10), Article 1765. https://doi.org/10.3390/ani10101765</mixed-citation><mixed-citation xml:lang="en">Fu, M., Zhang, Q., Zhou, X., Liu, B. (2020). Recombinase polymerase amplification based multiplex lateral flow dipstick for fast identification of duck ingredient in adulterated beef. Animals, 10(10), Article 1765. https://doi.org/10.3390/ani10101765</mixed-citation></citation-alternatives></ref><ref id="cit64"><label>64</label><citation-alternatives><mixed-citation xml:lang="ru">Yusop, M.H.M., Bakar, M.F.A., Kamarudin, K.R., Mokhtar, N.F.K., Hossain, M.A.M., Johan, M.R. et al. (2022). Rapid detection of porcine DNA in meatball using recombinase polymerase amplification couple with lateral flow immunoassay for halal authentication. Molecules, 27(23), Article 8122. https://doi.org/10.3390/molecules27238122</mixed-citation><mixed-citation xml:lang="en">Yusop, M.H.M., Bakar, M.F.A., Kamarudin, K.R., Mokhtar, N.F.K., Hossain, M.A.M., Johan, M.R. et al. (2022). Rapid detection of porcine DNA in meatball using recombinase polymerase amplification couple with lateral flow immunoassay for halal authentication. Molecules, 27(23), Article 8122. https://doi.org/10.3390/molecules27238122</mixed-citation></citation-alternatives></ref><ref id="cit65"><label>65</label><citation-alternatives><mixed-citation xml:lang="ru">Zhou, C., Wang, J., Xiang, J., Fu, Q., Sun, X., Liu, L. et al. (2023). Rapid detection of duck ingredient in adulterated foods by isothermal recombinase polymerase amplification assays. Food Chemistry: Molecular Sciences, 6, Article 100162. https://doi.org/10.1016/j.fochms.2023.100162</mixed-citation><mixed-citation xml:lang="en">Zhou, C., Wang, J., Xiang, J., Fu, Q., Sun, X., Liu, L. et al. (2023). Rapid detection of duck ingredient in adulterated foods by isothermal recombinase polymerase amplification assays. Food Chemistry: Molecular Sciences, 6, Article 100162. https://doi.org/10.1016/j.fochms.2023.100162</mixed-citation></citation-alternatives></ref><ref id="cit66"><label>66</label><citation-alternatives><mixed-citation xml:lang="ru">Gu, L., Yan, W., Liu, L., Wang, S., Zhang, X., Lyu, M. (2018). Research progress on rolling circle amplification (RCA)- based biomedical sensing. Pharmaceuticals, 11(2), Article 35. https://doi.org/10.3390/ph11020035</mixed-citation><mixed-citation xml:lang="en">Gu, L., Yan, W., Liu, L., Wang, S., Zhang, X., Lyu, M. (2018). Research progress on rolling circle amplification (RCA)- based biomedical sensing. Pharmaceuticals, 11(2), Article 35. https://doi.org/10.3390/ph11020035</mixed-citation></citation-alternatives></ref><ref id="cit67"><label>67</label><citation-alternatives><mixed-citation xml:lang="ru">Hu, X., Xu, H., Zhang, Y., Lu, X., Yang, Q., Zhang, W. (2021). Saltatory rolling circle amplification (SRCA) for sensitive visual detection of horsemeat adulteration in beef products. European Food Research and Technology, 247, 2667–2576. https://doi.org/10.1007/s00217-021-03720-2</mixed-citation><mixed-citation xml:lang="en">Hu, X., Xu, H., Zhang, Y., Lu, X., Yang, Q., Zhang, W. (2021). Saltatory rolling circle amplification (SRCA) for sensitive visual detection of horsemeat adulteration in beef products. European Food Research and Technology, 247, 2667–2576. https://doi.org/10.1007/s00217-021-03720-2</mixed-citation></citation-alternatives></ref><ref id="cit68"><label>68</label><citation-alternatives><mixed-citation xml:lang="ru">Becherer, L., Borst, N., Bakheit, M., Frischmann, S., Zengerle, R., von Stetten, F. (2020). Loop-mediated isothermal amplification (LAMP) — review and classification of methods for sequence-specific detection. Analytical Methods, 12(6), 717–746. https://doi.org/10.1039/C9AY02246E</mixed-citation><mixed-citation xml:lang="en">Becherer, L., Borst, N., Bakheit, M., Frischmann, S., Zengerle, R., von Stetten, F. (2020). Loop-mediated isothermal amplification (LAMP) — review and classification of methods for sequence-specific detection. Analytical Methods, 12(6), 717–746. https://doi.org/10.1039/C9AY02246E</mixed-citation></citation-alternatives></ref><ref id="cit69"><label>69</label><citation-alternatives><mixed-citation xml:lang="ru">Moon, Y.-J., Lee, S.-Y., Oh, S.-W. (2022). A review of isothermal amplification methods and food-origin inhibitors against detecting food-borne pathogens. Foods, 11(3), Article 322. https://doi.org/10.3390/foods11030322</mixed-citation><mixed-citation xml:lang="en">Moon, Y.-J., Lee, S.-Y., Oh, S.-W. (2022). A review of isothermal amplification methods and food-origin inhibitors against detecting food-borne pathogens. Foods, 11(3), Article 322. https://doi.org/10.3390/foods11030322</mixed-citation></citation-alternatives></ref><ref id="cit70"><label>70</label><citation-alternatives><mixed-citation xml:lang="ru">Almasi, A., Sharafi, K., Hazrati, S., Fazlzadehdavil, M. (2015). A survey on the ratio of effluent algal BOD concentration in primary and secondary facultative ponds to influent raw BOD concentration. Desalination and Water Treatment, 53(13), 3475–3481. https://doi.org/10.1080/19443994.2013.875945</mixed-citation><mixed-citation xml:lang="en">Almasi, A., Sharafi, K., Hazrati, S., Fazlzadehdavil, M. (2015). A survey on the ratio of effluent algal BOD concentration in primary and secondary facultative ponds to influent raw BOD concentration. Desalination and Water Treatment, 53(13), 3475–3481. https://doi.org/10.1080/19443994.2013.875945</mixed-citation></citation-alternatives></ref><ref id="cit71"><label>71</label><citation-alternatives><mixed-citation xml:lang="ru">Ma,. C., Wang, F., Wang, X., Han, L., Jing, H., Zhang, H. (2017). A novel method to control carryover contamination in isothermal nucleic acid amplification. Chemical Communications, 53(77), 10696–10699. https://doi.org/10.1039/C7CC06469A</mixed-citation><mixed-citation xml:lang="en">Ma,. C., Wang, F., Wang, X., Han, L., Jing, H., Zhang, H. (2017). A novel method to control carryover contamination in isothermal nucleic acid amplification. Chemical Communications, 53(77), 10696–10699. https://doi.org/10.1039/C7CC06469A</mixed-citation></citation-alternatives></ref><ref id="cit72"><label>72</label><citation-alternatives><mixed-citation xml:lang="ru">Girish, P. S., Barbuddhe, S. B., Kumari, A., Rawool, D. B., Karabasanavar, N. S., Muthukumar, M. et al. (2020). Rapid detection of pork using alkaline lysis-Loop Mediated Isothermal Amplification (AL–LAMP) technique. Food Control, 110, Article 107015. https://doi.org/10.1016/j.foodcont.2019.107015</mixed-citation><mixed-citation xml:lang="en">Girish, P. S., Barbuddhe, S. B., Kumari, A., Rawool, D. B., Karabasanavar, N. S., Muthukumar, M. et al. (2020). Rapid detection of pork using alkaline lysis-Loop Mediated Isothermal Amplification (AL–LAMP) technique. Food Control, 110, Article 107015. https://doi.org/10.1016/j.foodcont.2019.107015</mixed-citation></citation-alternatives></ref><ref id="cit73"><label>73</label><citation-alternatives><mixed-citation xml:lang="ru">Vashishtha, A. K., Konigsberg, W. H. (2016). Effect of different divalent cations on the kinetics and fidelity of RB69 DNA polymerase. Biochemistry, 55(18), 2661–2670. https://doi.org/10.1021/acs.biochem.5b01350</mixed-citation><mixed-citation xml:lang="en">Vashishtha, A. K., Konigsberg, W. H. (2016). Effect of different divalent cations on the kinetics and fidelity of RB69 DNA polymerase. Biochemistry, 55(18), 2661–2670. https://doi.org/10.1021/acs.biochem.5b01350</mixed-citation></citation-alternatives></ref><ref id="cit74"><label>74</label><citation-alternatives><mixed-citation xml:lang="ru">Anupama, K. P., Nayak, A., Karunasagar, I., Maiti, B. (2020). Rapid visual detection of Vibrio parahaemolyticus in seafood samples by loop-mediated isothermal amplification with hydroxynaphthol blue dye. World Journal of Microbiology and Biotechnology, 36(5), Article 76. https://doi.org/10.1007/s11274-020-02851-0</mixed-citation><mixed-citation xml:lang="en">Anupama, K. P., Nayak, A., Karunasagar, I., Maiti, B. (2020). Rapid visual detection of Vibrio parahaemolyticus in seafood samples by loop-mediated isothermal amplification with hydroxynaphthol blue dye. World Journal of Microbiology and Biotechnology, 36(5), Article 76. https://doi.org/10.1007/s11274-020-02851-0</mixed-citation></citation-alternatives></ref><ref id="cit75"><label>75</label><citation-alternatives><mixed-citation xml:lang="ru">Thangsunan, P., Temisak, S., Jaimalai, T., Rios-Solis, L., Suree, N. (2022). Sensitive detection of chicken meat in commercial processed food products based on one-step colourimetric loop-mediated isothermal amplification. Food Analytical Methods, 15(5), 1341–1355. https://doi.org/10.1007/s12161-021-02210-1</mixed-citation><mixed-citation xml:lang="en">Thangsunan, P., Temisak, S., Jaimalai, T., Rios-Solis, L., Suree, N. (2022). Sensitive detection of chicken meat in commercial processed food products based on one-step colourimetric loop-mediated isothermal amplification. Food Analytical Methods, 15(5), 1341–1355. https://doi.org/10.1007/s12161-021-02210-1</mixed-citation></citation-alternatives></ref><ref id="cit76"><label>76</label><citation-alternatives><mixed-citation xml:lang="ru">Girish, P. S., Kumari, A., Gireesh-Babu, P., Karabasanavar, N. S., Raja, B., Ramakrishna, C. et al. (2022). Alkaline lysis-loop mediated isothermal amplification assay for rpid and on-site authentication of buffalo (Bubalus bubalis) meat. Journal of Food Safety, 42(1), Article e12955. https://doi.org/10.1111/jfs.12955</mixed-citation><mixed-citation xml:lang="en">Girish, P. S., Kumari, A., Gireesh-Babu, P., Karabasanavar, N. S., Raja, B., Ramakrishna, C. et al. (2022). Alkaline lysis-loop mediated isothermal amplification assay for rpid and on-site authentication of buffalo (Bubalus bubalis) meat. Journal of Food Safety, 42(1), Article e12955. https://doi.org/10.1111/jfs.12955</mixed-citation></citation-alternatives></ref><ref id="cit77"><label>77</label><citation-alternatives><mixed-citation xml:lang="ru">Cai, S., Kong, F., Xu, S. (2020). Detection of porcine-derived ingredients from adulterated meat based on real-time loop-mediated isothermal amplification. Molecular and Cellular Probes, 53, Article 101609. https://doi.org/10.1016/j.mcp.2020.101609</mixed-citation><mixed-citation xml:lang="en">Cai, S., Kong, F., Xu, S. (2020). Detection of porcine-derived ingredients from adulterated meat based on real-time loop-mediated isothermal amplification. Molecular and Cellular Probes, 53, Article 101609. https://doi.org/10.1016/j.mcp.2020.101609</mixed-citation></citation-alternatives></ref><ref id="cit78"><label>78</label><citation-alternatives><mixed-citation xml:lang="ru">Qin, P., Li. Y., Yao, B., Zhu, Y., Xu, J., Yao, L. et al. (2022). Rational incorporating of loop-mediated isothermal amplification with fluorescence anisotropy for rapid, sensitive and on-site identification of pork adulteration. Food Control, 137, Article 108863. https://doi.org/10.1016/j.foodcont.2022.108863</mixed-citation><mixed-citation xml:lang="en">Qin, P., Li. Y., Yao, B., Zhu, Y., Xu, J., Yao, L. et al. (2022). Rational incorporating of loop-mediated isothermal amplification with fluorescence anisotropy for rapid, sensitive and on-site identification of pork adulteration. Food Control, 137, Article 108863. https://doi.org/10.1016/j.foodcont.2022.108863</mixed-citation></citation-alternatives></ref><ref id="cit79"><label>79</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, J., Wan, Y., Chen, G., Liang, H., Ding, S., Shang, K. et al. (2019). Colorimetric detection of horse meat based on loop-mediated isothermal amplification (LAMP). Food Analytical Methods,12(11), 2535–2541. https://doi.org/10.1007/s12161-019-01590-9</mixed-citation><mixed-citation xml:lang="en">Wang, J., Wan, Y., Chen, G., Liang, H., Ding, S., Shang, K. et al. (2019). Colorimetric detection of horse meat based on loop-mediated isothermal amplification (LAMP). Food Analytical Methods,12(11), 2535–2541. https://doi.org/10.1007/s12161-019-01590-9</mixed-citation></citation-alternatives></ref><ref id="cit80"><label>80</label><citation-alternatives><mixed-citation xml:lang="ru">Nurul Najian, A. B., Engku Nur Syafirah, E. A. R., Ismail, N., Mohamed, M., Yean, C. Y. (2016). Development of multiplex loop mediated isothermal amplification (m-LAMP) label-based gold nanoparticles lateral flow dipstick biosensor for detection of pathogenic Leptospira. Analytica Chimica Acta, 903, 142–148. https://doi.org/10.1016/j.aca.2015.11.015</mixed-citation><mixed-citation xml:lang="en">Nurul Najian, A. B., Engku Nur Syafirah, E. A. R., Ismail, N., Mohamed, M., Yean, C. Y. (2016). Development of multiplex loop mediated isothermal amplification (m-LAMP) label-based gold nanoparticles lateral flow dipstick biosensor for detection of pathogenic Leptospira. Analytica Chimica Acta, 903, 142–148. https://doi.org/10.1016/j.aca.2015.11.015</mixed-citation></citation-alternatives></ref><ref id="cit81"><label>81</label><citation-alternatives><mixed-citation xml:lang="ru">Jawla, J., Kumar, R. R., Mendiratta, S. K., Agarwal, R. K., Kumari, S., Saxena, V. et al. (2021). Paper-based loop-mediated isothermal amplification and lateral flow (LAMP-LF) assay for identification of tissues of cattle. Analytica Chimica Acta, 1150, Article 338220. https://doi.org/10.1016/j.aca.2021.338220</mixed-citation><mixed-citation xml:lang="en">Jawla, J., Kumar, R. R., Mendiratta, S. K., Agarwal, R. K., Kumari, S., Saxena, V. et al. (2021). Paper-based loop-mediated isothermal amplification and lateral flow (LAMP-LF) assay for identification of tissues of cattle. Analytica Chimica Acta, 1150, Article 338220. https://doi.org/10.1016/j.aca.2021.338220</mixed-citation></citation-alternatives></ref><ref id="cit82"><label>82</label><citation-alternatives><mixed-citation xml:lang="ru">Zetsche, B., Gootenberg, J. S., Abudayyeh, O. O., Slaymaker, I. M., Makarova, K. S., Essletzbichler, P. et al. (2015). Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system. Cell, 163(3), 759–771. https://doi.org/10.1016/j.cell.2015.09.038</mixed-citation><mixed-citation xml:lang="en">Zetsche, B., Gootenberg, J. S., Abudayyeh, O. O., Slaymaker, I. M., Makarova, K. S., Essletzbichler, P. et al. (2015). Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system. Cell, 163(3), 759–771. https://doi.org/10.1016/j.cell.2015.09.038</mixed-citation></citation-alternatives></ref><ref id="cit83"><label>83</label><citation-alternatives><mixed-citation xml:lang="ru">Chen, J. S., Ma, E., Harrington, L. B., Da Costa, M., Tian, X., Palefsky, J. M. et al. (2018). CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity. Science, 360(6387), 436–439. https://doi.org/10.1126/science.aar6245</mixed-citation><mixed-citation xml:lang="en">Chen, J. S., Ma, E., Harrington, L. B., Da Costa, M., Tian, X., Palefsky, J. M. et al. (2018). CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity. Science, 360(6387), 436–439. https://doi.org/10.1126/science.aar6245</mixed-citation></citation-alternatives></ref><ref id="cit84"><label>84</label><citation-alternatives><mixed-citation xml:lang="ru">Wu, Y., Liu, J., Li, H.-t., Zhang, T., Dong, Y., Deng S. et al. (2022). CRISPR-Cas system meets DNA barcoding: Development of a universal nucleic acid test for food authentication. Sensors and Actuators B: Chemical, 353, Article 131138. https://doi.org/10.1016/j.snb.2021.131138</mixed-citation><mixed-citation xml:lang="en">Wu, Y., Liu, J., Li, H.-t., Zhang, T., Dong, Y., Deng S. et al. (2022). CRISPR-Cas system meets DNA barcoding: Development of a universal nucleic acid test for food authentication. Sensors and Actuators B: Chemical, 353, Article 131138. https://doi.org/10.1016/j.snb.2021.131138</mixed-citation></citation-alternatives></ref><ref id="cit85"><label>85</label><citation-alternatives><mixed-citation xml:lang="ru">Liu, H., Wang, J., Zeng, H., Liu, X., Jiang, W., Wang, Y. et al. (2021). RPA-Cas12a-FS: A frontline nucleic acid rapid detection system for food safety based on CRISPR-Cas12a combined with recombinase polymerase amplification. Food Chemistry, 334, Article 127608. https://doi.org/10.1016/j.foodchem.2020.127608</mixed-citation><mixed-citation xml:lang="en">Liu, H., Wang, J., Zeng, H., Liu, X., Jiang, W., Wang, Y. et al. (2021). RPA-Cas12a-FS: A frontline nucleic acid rapid detection system for food safety based on CRISPR-Cas12a combined with recombinase polymerase amplification. Food Chemistry, 334, Article 127608. https://doi.org/10.1016/j.foodchem.2020.127608</mixed-citation></citation-alternatives></ref><ref id="cit86"><label>86</label><citation-alternatives><mixed-citation xml:lang="ru">Zhao, G., Wang, J., Yao, C., Xie, P., Li, X., Xu, Z. et al. (2022). Alkaline lysis-recombinase polymerase amplification combined with CRISPR/Cas12a assay for the ultrafast visual identification of pork in meat products. Food Chemistry, 383, P. 132318. https://doi.org/10.1016/j.foodchem.2022.132318</mixed-citation><mixed-citation xml:lang="en">Zhao, G., Wang, J., Yao, C., Xie, P., Li, X., Xu, Z. et al. (2022). Alkaline lysis-recombinase polymerase amplification combined with CRISPR/Cas12a assay for the ultrafast visual identification of pork in meat products. Food Chemistry, 383, P. 132318. https://doi.org/10.1016/j.foodchem.2022.132318</mixed-citation></citation-alternatives></ref><ref id="cit87"><label>87</label><citation-alternatives><mixed-citation xml:lang="ru">Narasimhan, V., Kim, H., Lee, S. H., Kang, H., Siddique, R. H., Park, H. et al. (2023).Nucleic acid amplification-based technologies (NAAT)—Toward accessible, autonomous, and mobile diagnostics. Advanced Materials Technologies, 8(20), Article 2300230. https://doi.org/10.1002/admt.202300230</mixed-citation><mixed-citation xml:lang="en">Narasimhan, V., Kim, H., Lee, S. H., Kang, H., Siddique, R. H., Park, H. et al. (2023).Nucleic acid amplification-based technologies (NAAT)—Toward accessible, autonomous, and mobile diagnostics. Advanced Materials Technologies, 8(20), Article 2300230. https://doi.org/10.1002/admt.202300230</mixed-citation></citation-alternatives></ref><ref id="cit88"><label>88</label><citation-alternatives><mixed-citation xml:lang="ru">Gao, D., Guo, X., Yang, Y., Shi, H., Hao, R., Wang, S. et al. (2022). Microfluidic chip and isothermal amplification technologies for the detection of pathogenic nucleic acid. Journal of Biological Engineering, 16, Article 33. https://doi.org/10.1186/s13036-022-00312-w</mixed-citation><mixed-citation xml:lang="en">Gao, D., Guo, X., Yang, Y., Shi, H., Hao, R., Wang, S. et al. (2022). Microfluidic chip and isothermal amplification technologies for the detection of pathogenic nucleic acid. Journal of Biological Engineering, 16, Article 33. https://doi.org/10.1186/s13036-022-00312-w</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
