Quantitative Analysis of Pork Adulteration in Beef by Double Antibody Sandwich Enzyme‐Linked Immunosorbent Assay Combined With Mathematical Models

Adulterating pork into other meat is a global concern, and efficient methods for identifying meat species are of prime importance in quality assurance and regulation. Enzyme‐linked immunosorbent assay (ELISA) is one of the most widely used methodologies for porcine speciation. Thermostable proteins were used as suitable marker proteins for species identification in heat‐processed or commercial meat products. However, the continuous pursuit of higher sensitivity narrowed the analytical range of quantitation (ROQ) resulting in reduced resolution. In our study, murine monoclonal antibodies (sTn‐4C10 and sTn‐4B1‐HRP) which are specific to skeletal muscle troponin were used as capture antibodies and detection antibodies in a double antibody sandwich ELISA (DAS–ELISA) to measure the percentage of pork in beef. When the optimal loading concentrations of sTn‐4C10, sTn‐4B1‐HRP, and adulterated samples were set as 2, 0.2, and 20 μg/mL, respectively, this DAS–ELISA assay combined with the optimal mathematical model had an analytical ROQ of 5.79%–91.33% ( w / w ) in the absence of beef. The recovery rates ranged from 96% to 100%, and the coefficient of variation was below 4.5% within the ROQ. This work has widened the analytical ROQ and improved the detection resolution.

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Publication Details

Journal
Journal of Food Quality
Published
2025-01-01
DOI
https://doi.org/10.1155/jfq/6363488
Citations
3
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
2.42

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article

Quantitative Analysis of Pork Adulteration in Beef by Double Antibody Sandwich Enzyme‐Linked Immunosorbent Assay Combined With Mathematical Models

Hejie Li, Yujing Li, Yan Zhang, Jingjing Liu et al.
3 citations
Journal of Food Quality
Identification and Quantification in Food
2.42
article

Quantitative Analysis of Pork Adulteration in Beef by Double Antibody Sandwich Enzyme‐Linked Immunosorbent Assay Combined With Mathematical Models

Hejie Li, Yujing Li, Yan Zhang, Jingjing Liu, Chunsheng Li, Jing Zhang
article en
3 citations

Abstract

Adulterating pork into other meat is a global concern, and efficient methods for identifying meat species are of prime importance in quality assurance and regulation. Enzyme‐linked immunosorbent assay (ELISA) is one of the most widely used methodologies for porcine speciation. Thermostable proteins were used as suitable marker proteins for species identification in heat‐processed or commercial meat products. However, the continuous pursuit of higher sensitivity narrowed the analytical range of quantitation (ROQ) resulting in reduced resolution. In our study, murine monoclonal antibodies (sTn‐4C10 and sTn‐4B1‐HRP) which are specific to skeletal muscle troponin were used as capture antibodies and detection antibodies in a double antibody sandwich ELISA (DAS–ELISA) to measure the percentage of pork in beef. When the optimal loading concentrations of sTn‐4C10, sTn‐4B1‐HRP, and adulterated samples were set as 2, 0.2, and 20 μg/mL, respectively, this DAS–ELISA assay combined with the optimal mathematical model had an analytical ROQ of 5.79%–91.33% ( w / w ) in the absence of beef. The recovery rates ranged from 96% to 100%, and the coefficient of variation was below 4.5% within the ROQ. This work has widened the analytical ROQ and improved the detection resolution.

Journal of Food QualityVol. 2025(1)
Hebei Food Inspection and Research Institute (CN), Hebei Academy of Sciences (CN)
Hebei Normal University
Openalex Percentile: Top 13%
Identification and Quantification in Food
2.42
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