Henan Key Laboratory of Biomarker Based Rapid-Detection Technology for Food Safety, Food and Pharmacy College, Xuchang University, Xuchang 461000, China.
College of Grain and Food, Henan University of Technology, Zhengzhou 450001, China.
Molecules. 2023 Feb 10;28(4):1685. doi: 10.3390/molecules28041685.
Food adulteration is a serious problem all over the world. Establishing an accurate, sensitive and fast detection method is an important part of identifying food adulteration. Herein, a sequence-specific ladder-shape melting temperature isothermal amplification (LMTIA) assay was reported to detect soybean-derived components using proofreading enzyme-mediated probe cleavage (named Proofman), which could realize real-time and visual detection without uncapping. The results showed that, under the optimal temperature of 57 °C, the established Proofman-LMTIA method for the detection of soybean-derived components in dairy products was sensitive to 1 pg/μL, with strong specificity, and could distinguish soybean genes from those of beef, mutton, sunflower, corn, walnut, etc. The established Proofman-LMTIA detection method was applied to the detection of actual samples of cow milk and goat milk. The results showed that the method was accurate, stable and reliable, and the detection results were not affected by a complex matrix without false positives or false negatives. It was proved that the method could be used for the detection and identification of soybean-derived components in actual dairy products samples.
食品掺假是一个全球性的严重问题。建立准确、灵敏、快速的检测方法是识别食品掺假的重要组成部分。本文报道了一种基于校对酶介导探针切割的序列特异性梯状熔解温度等温扩增(LMTIA)检测方法(命名为 Proofman),用于检测乳制品中的大豆成分,该方法无需开盖即可实现实时和可视化检测。结果表明,在最佳温度 57°C 下,建立的 Proofman-LMTIA 方法对乳制品中大豆成分的检测灵敏度为 1 pg/μL,具有较强的特异性,能够区分大豆基因与牛肉、羊肉、向日葵、玉米、核桃等基因。该方法用于检测实际的牛奶和羊奶样品,结果表明该方法准确、稳定、可靠,复杂基质不影响检测结果,无假阳性或假阴性。证明该方法可用于检测和鉴定实际乳制品中的大豆成分。