Literature DB >> 32170753

Determination of content of camel milk in adulterated milk samples by normalized real-time polymerase chain reaction system based on single-copy nuclear genes.

Zhiying Wang1, Tingting Li1, Wenjie Yu1, Lu Qiao1, Rui Liu1, Shanshan Li2,3, Yan Zhao1, Shuming Yang1, Ailiang Chen1.   

Abstract

BACKGROUND: Compared with the traditional qualitative polymerase chain reaction (PCR), which only identifies the category of species, the quantitative PCR method provides a value, which is very important for appropriate penalty enforcement according to the extent of adulteration. However, most of the current quantitative PCR methods are based on mitochondrial genes, expressing different copy numbers in different cells and reducing the accuracy of quantitative results. In this study, single-copy nuclear housekeeping genes, instead of multicopy mitochondrial genes, were selected as both camel species-specific and reference genes to develop a novel normalized PCR system.
RESULTS: This system had an excellent linear correlation (R2 = 0.9614) between camel milk content and Ct ratio (specific/reference genes), and allowed quantitative determination of the content of camel milk in adulterated milk samples. The accuracy was effectively validated using simulated adulterated samples with recoveries ranging from 90% to 120% and coefficient of variation less than 10%, exhibiting sufficient parameters of trueness and precision.
CONCLUSIONS: The normalized PCR system based on single-copy nuclear genes is a simple, rapid and reliable method for the determination of the content of camel milk in adulterated milk samples, and also provides technical support for appropriate penalty enforcement.
© 2020 Society of Chemical Industry. © 2020 Society of Chemical Industry.

Entities:  

Keywords:  camel milk in adulterated milk samples; normalized system; quantitative determination; real-time PCR; single-copy genes

Mesh:

Year:  2020        PMID: 32170753     DOI: 10.1002/jsfa.10382

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  3 in total

1.  Detection of Ovine or Bovine Milk Components in Commercial Camel Milk Powder Using a PCR-Based Method.

Authors:  Xiaoyun Wu; Qin Na; Shiqi Hao; Rimutu Ji; Liang Ming
Journal:  Molecules       Date:  2022-05-07       Impact factor: 4.927

Review 2.  QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs.

Authors:  David K Bwambok; Noureen Siraj; Samantha Macchi; Nathaniel E Larm; Gary A Baker; Rocío L Pérez; Caitlan E Ayala; Charuksha Walgama; David Pollard; Jason D Rodriguez; Souvik Banerjee; Brianda Elzey; Isiah M Warner; Sayo O Fakayode
Journal:  Sensors (Basel)       Date:  2020-12-07       Impact factor: 3.576

Review 3.  Animal Species Authentication in Dairy Products.

Authors:  Isabel Mafra; Mónica Honrado; Joana S Amaral
Journal:  Foods       Date:  2022-04-13
  3 in total

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