Literature DB >> 31965247

Mass ratio quantitative detection for kidney bean in lotus seed paste using duplex droplet digital PCR and chip digital PCR.

Xuwan Dong1, Dongwei Gao2, Jie Dong2, Wenrui Chen2, Zhiyong Li2, Jufang Wang1, Jin Liu3.   

Abstract

Two "mass ratio-DNA copy concentration ratio" formulas were established respectively on droplet digital PCR (ddPCR) and chip-based digital PCR (cdPCR) to determine the mass ratio of kidney bean, a common alternative plant-derived ingredient in lotus seed paste. The limit of detection for DNA copy concentration of kidney bean and lotus seed was 6 copies/μL. Quantitative detection range was set from 5 to 80%, and the limit of quantification for mass ratio of kidney bean in lotus seed paste was defined as 5%. Results of 6 simulated samples and 16 prepackaged pastes in this work offer compelling evidence that an innovative scheme for quantitative detection of kidney bean in lotus seed paste was available, and provide technical support for the identification of suspicious ingredients from fraudulent substitution or adventitious contamination. Graphical abstract Two "mass ratio-DNA copy concentration ratio" formulas were established respectively on droplet digital PCR (ddPCR) and chip digital PCR (cdPCR) to determine the mass ratio of kidney bean in adulterated lotus seed paste. It was the first time to quantify adulterate food by directly converting DNA copy concentration ratio obtained from digital PCR to mass ratio, which could provide strong technical support for quantitative detection of adulterated food.

Entities:  

Keywords:  DNA copy concentration; Digital PCR; Food adulteration; Quantification

Year:  2020        PMID: 31965247     DOI: 10.1007/s00216-020-02410-4

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  1 in total

1.  A quantitative detection of mung bean in chestnut paste using duplex digital PCR.

Authors:  Yingjie Liang; Dongwei Gao; Jie Dong; Lijun Guan; Zhiyong Li; Jin Liu
Journal:  Curr Res Food Sci       Date:  2021-12-18
  1 in total

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