An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries)
Meat adulteration caused by economic intentions has long been concerning food safety. Accurate quantification of meat products can distinguish between artificial adulteration and unintentional contamination during its processing or packaging. After determining the species-specific constant and the c...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Sustainable Food Systems |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fsufs.2023.1180301/full |
| _version_ | 1797819917592952832 |
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| author | Yuxuan He Wei Yan Liming Dong Yue Ma Congcong Li Yanbo Xie Na Liu Zhenjuan Xing Wei Xia Likun Long Feiwu Li |
| author_facet | Yuxuan He Wei Yan Liming Dong Yue Ma Congcong Li Yanbo Xie Na Liu Zhenjuan Xing Wei Xia Likun Long Feiwu Li |
| author_sort | Yuxuan He |
| collection | DOAJ |
| description | Meat adulteration caused by economic intentions has long been concerning food safety. Accurate quantification of meat products can distinguish between artificial adulteration and unintentional contamination during its processing or packaging. After determining the species-specific constant and the correlation between mass fraction and copy number of each species, we developed an effective approach-based droplet digital PCR (ddPCR) platform that can identify target species with high detection sensitivity: 13 copies of beef, 6 copies of lamb, 13 copies of pork, 13 copies of chicken, 6 copies of duck, and 6 copies of turkey. Using this method, a level as low as 1% of the adulterated ingredients blended in beef and lamb was accurately quantified. Following the addition of reference species, several quantitative equations were constructed for simultaneous analysis of different species in commercial processed products; even the animal components with a minimum content of 0.5% can be quantified to judge whether the label ingredients are fraudulent. This suggests the feasibility of the proposed strategy for the accurate identification and quantification of animal-derived adulteration according to the processing degree and food commodity. |
| first_indexed | 2024-03-13T09:29:40Z |
| format | Article |
| id | doaj.art-e2c3bf4201a94e0b80ae7f584e414e77 |
| institution | Directory Open Access Journal |
| issn | 2571-581X |
| language | English |
| last_indexed | 2024-03-13T09:29:40Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Sustainable Food Systems |
| spelling | doaj.art-e2c3bf4201a94e0b80ae7f584e414e772023-05-26T04:21:19ZengFrontiers Media S.A.Frontiers in Sustainable Food Systems2571-581X2023-05-01710.3389/fsufs.2023.11803011180301An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries)Yuxuan HeWei YanLiming DongYue MaCongcong LiYanbo XieNa LiuZhenjuan XingWei XiaLikun LongFeiwu LiMeat adulteration caused by economic intentions has long been concerning food safety. Accurate quantification of meat products can distinguish between artificial adulteration and unintentional contamination during its processing or packaging. After determining the species-specific constant and the correlation between mass fraction and copy number of each species, we developed an effective approach-based droplet digital PCR (ddPCR) platform that can identify target species with high detection sensitivity: 13 copies of beef, 6 copies of lamb, 13 copies of pork, 13 copies of chicken, 6 copies of duck, and 6 copies of turkey. Using this method, a level as low as 1% of the adulterated ingredients blended in beef and lamb was accurately quantified. Following the addition of reference species, several quantitative equations were constructed for simultaneous analysis of different species in commercial processed products; even the animal components with a minimum content of 0.5% can be quantified to judge whether the label ingredients are fraudulent. This suggests the feasibility of the proposed strategy for the accurate identification and quantification of animal-derived adulteration according to the processing degree and food commodity.https://www.frontiersin.org/articles/10.3389/fsufs.2023.1180301/fullfood safetyquality controldroplet digital PCRmeat adulterationbeeflamb |
| spellingShingle | Yuxuan He Wei Yan Liming Dong Yue Ma Congcong Li Yanbo Xie Na Liu Zhenjuan Xing Wei Xia Likun Long Feiwu Li An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries) Frontiers in Sustainable Food Systems food safety quality control droplet digital PCR meat adulteration beef lamb |
| title | An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries) |
| title_full | An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries) |
| title_fullStr | An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries) |
| title_full_unstemmed | An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries) |
| title_short | An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries) |
| title_sort | effective droplet digital pcr method for identifying and quantifying meat adulteration in raw and processed food of beef bos taurus and lamb ovis aries |
| topic | food safety quality control droplet digital PCR meat adulteration beef lamb |
| url | https://www.frontiersin.org/articles/10.3389/fsufs.2023.1180301/full |
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