Literature DB >> 35963193

Droplet digital PCR for the identification of plant-derived adulterants in highly processed products.

Wenjie Xu1, Pengyu Zhu2, Tianyi Xin1, Qian Lou1, Ranjun Li1, Wei Fu2, Tingyu Ma1, Jingyuan Song3.   

Abstract

BACKGROUND: The high sensitivity of droplet digital PCR (ddPCR) contributes to its excellent performance in animal and microorganism identification, but the utilization of ddPCR is limited in plant adulterant identification of highly processed products for which effective methods are lacking.
PURPOSE: This study investigated the feasibility of ddPCR in the identification of plant adulterants in Chinese patent medicine (CPM) as groundwork to develop ddPCR assays for other highly processed goods.
METHODS: The original plant, processed and highly processed products of Mutong (Akebiae Caulis) and its two adulterants were used to analyze the specificity, sensitivity, and practical performance of the developed singleplex and triplex ddPCR assays.
RESULTS: The results revealed that the limit of detection (LOD) and limit of quantification (LOQ) for the selective ddPCR assays developed to identify Mutong and its adulterants were 0.00002 ng/μl and 0.00016 ng/μl, respectively, and that the regression equations representing the relationships between DNA concentration and target copy number all exhibited good linearity. Furthermore, the common adulterant of Mutong in three samples of Longdan Xiegan pills was successfully identified through ddPCR assays and confirmed by Sanger sequencing.
CONCLUSION: This work comprehensively revealed the great ability of ddPCR technology in detecting plant adulterants in traditional Chinese medicine (TCM), providing a method for the quality control of highly processed plant products with complex components for commonly used goods.
Copyright © 2022. Published by Elsevier GmbH.

Entities:  

Keywords:  Adulterant; Droplet digital PCR; Highly processed products; Identification; Traditional Chinese medicine

Mesh:

Year:  2022        PMID: 35963193     DOI: 10.1016/j.phymed.2022.154376

Source DB:  PubMed          Journal:  Phytomedicine        ISSN: 0944-7113            Impact factor:   6.656


  1 in total

1.  Development of a Novel Primer-TaqMan Probe Set for Diagnosis and Quantification of Meloidogyne enterolobii in Soil Using qPCR and Droplet Digital PCR Assays.

Authors:  Yuan Chen; Haibo Long; Tuizi Feng; Yueling Pei; Yanfang Sun; Xinchun Zhang
Journal:  Int J Mol Sci       Date:  2022-09-23       Impact factor: 6.208

  1 in total

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