A Rapid RPA-CRISPR/Cas12a Detection Method for Adulteration of Goat Milk Powder.

CRISPR/Cas12a adulteration food fraud goat milk powder rapid detection

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
07 Apr 2023
Historique:
received: 15 02 2023
revised: 14 03 2023
accepted: 24 03 2023
medline: 28 4 2023
pubmed: 28 4 2023
entrez: 28 4 2023
Statut: epublish

Résumé

Because of the serious adulteration of goat milk, the rapid on-site detection of goat milk powder adulteration is needed. In this study, the CRISPR/Cas12a detection system combined with recombinase polymerase amplification (RPA) was employed to qualitatively detect the adulteration of goat milk powder with cattle-derived components. Specific primers and crRNA were designed and screened. After the optimization of RPA and the Cas system, the RPA-CRISPR/Cas12a detection method was established. The detection can complete the rapid identification of cattle-derived components in 45 min, without the assistant of large equipment. The absolute detectability of the RPA-CRISPR/Cas12a assay could reach 10

Identifiants

pubmed: 37107364
pii: foods12081569
doi: 10.3390/foods12081569
pmc: PMC10137891
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : the National Scientific Foundation of China
ID : 32072316
Organisme : Generic Technique Innovation Team Construction of Modern Agriculture of Guangdong Prov-ince
ID : 2022KJ130, 2023KJ130
Organisme : Project of Guangdong Laboratory for Lingnan Modern Agriculture
ID : LNSYSZX001, P20211154-0102-02

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Auteurs

Shuqin Huang (S)

Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China.

Yan Liu (Y)

Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China.

Xu Zhang (X)

Guangzhou Editgene Co., Ltd., Guangzhou 510630, China.

Zuoqi Gai (Z)

Guangzhou Editgene Co., Ltd., Guangzhou 510630, China.

Hongtao Lei (H)

Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China.
Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China.

Xing Shen (X)

Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China.

Classifications MeSH