数字农科院2.0

Amplification-free quantitative detection of genomic DNA using lateral flow strips for milk authentication

文献类型： 外文期刊

作者： Wang N.;Zhang J.;Xiao B.;Sun X.;Chen J.;Huang F.;Chen A.

作者机构：

关键词： DNA hybridization;Food authenticity;Free-amplification;Lateral flow strips;Quantitative detection

期刊名称： Biosensors and Bioelectronics

ISSN： 0956-5663

年卷期： 2024 年 252 卷

页码：

收录情况： SCIE（2024版） ; ; EI（2024版）

摘要： With the globalization and complexity of the food supply chain, the market is becoming increasingly competitive and food fraudulent activities are intensifying. The current state of food detection faced two primary challenges. Firstly, existing testing methods were predominantly laboratory-based, requiring complex procedures and precision instruments. Secondly, there was a lack of accurate and efficient quantitative detection methods. Taking cow's milk as an example, this study introduced a novel method for nucleic acid quantification in dairy products, based on lateral flow strips (LFS). The core idea of this method is to design single-stranded DNA (ssDNA) probes to hybridize with mitochondrial genes, which are abundant, stable, and species-specific in dairy products, as detection targets. Drawing inspiration from the principles of nucleic acid amplification, this research innovatively established a new DNA hybridization method, named LAMP-Like Hybridization (HybLAMP-Like). Leveraging the denaturation and DNA polymerization functions of the bst enzyme, efficient binding of the probe and template strand was achieved. This method eliminated the need for nucleic acid amplification, simplifying the procedure and mitigating aerosol contamination, thereby ensuring the accuracy of the detection results. The method exhibited exceptional sensitivity, capable of detecting extremely low to 12.5 ng in visual inspection and 3.125 ng when using a reader. In terms of practicality, it could achieve visual detection of cow's milk content as low as 1% in adulterated dairy products. When combined with a portable LFS reader, it also enabled precise quantitative analysis of milk adulteration. © 2024 Elsevier B.V.

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