AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home Food Science Article
PDF (2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese | Open Access

A Microdroplet Digital PCR Assay for Quantitative Analysis of Goat Milk Powder

Chen CHEN1 Guohua SHI1Rui ZHANG1Tao ZHANG1Taotao YAN1Boxu CHEN1Zilun ZHANG1Yan ZHANG1Wei ZHOU1,2 ( )
Hebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050071, China
School of Life Sciences, Hebei Normal University, Shijiazhuang 050024, China
Show Author Information

Abstract

Driven by the urgent market demand for milk traceability technologies, a microdroplet digital polymerase chain reaction (PCR) assay was developed to accurately identify the milk source in goat milk powder. This method overcame the shortcomings of complex ingredients and long time required for identifying the source of milk, and could detect it more accurately and reduce the possibility of misjudgment. In this study, a model equation for describing the relationship between the number of DNA copies per μL from goat milk powder (C) and its mass (M, mg) was proposed as follows: M = (C−4.75)/3.56.

CLC number: TS207.3 Document code: A Article ID: 1002-6630(2022)22-0341-05

References

【1】
【1】
 
 
Food Science
Pages 341-345

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
CHEN C, SHI G, ZHANG R, et al. A Microdroplet Digital PCR Assay for Quantitative Analysis of Goat Milk Powder. Food Science, 2022, 43(22): 341-345. https://doi.org/10.7506/spkx1002-6630-20211011-101

309

Views

0

Downloads

0

Crossref

0

Scopus

3

CSCD

Received: 11 October 2021
Published: 25 November 2022
© Beijing Academy of Food Sciences 2022.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).