Rapid and sensitive on-site detection of peach (Prunus persica) species in fruit juices using a RAA-CRISPR/Cas12a approach.
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| Title: | Rapid and sensitive on-site detection of peach (Prunus persica) species in fruit juices using a RAA-CRISPR/Cas12a approach. |
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| Authors: | Wang, Lin1,2 (AUTHOR), Xing, Ran-Ran1 (AUTHOR) xingranrancaiq@163.com, Liang, Xiao-Ke1 (AUTHOR), Yu, Yao-Xian1 (AUTHOR), Yi, Qiu-Ju1 (AUTHOR), Lu, Si-Yuan1 (AUTHOR), Deng, Ting-Ting1 (AUTHOR), Zhang, Jiu-Kai1 (AUTHOR), Wang, Xu2 (AUTHOR), Chen, Ying1 (AUTHOR) chenyingcaiq@163.com |
| Source: | Food Control. Dec2025, Vol. 178, pN.PAG-N.PAG. 1p. |
| Subjects: | Quality control inspectors, Food adulteration, Food safety, CRISPRs, Fruit juices |
| Abstract: | Food adulteration, particularly involving allergenic ingredients like peach (Prunus persica), poses risks to consumer health and food safety, yet current laboratory-based DNA detection methods require extensive processing time, specialized thermal cyclers, and trained personnel, limiting their field deployment. To address these constraints, we have developed a rapid (50 min), highly sensitive (10−2 ng/μL; 1 % 1 % (w/w) adulteration) and portable DNA assay by integrating recombinase-aided amplification (RAA) with CRISPR/Cas12a under a constant 37 °C isothermal step, with visual readout by naked eye. Incorporation of a self-heating patch replaces laboratory heating devices, enabling fully power-free on-site operation. In a comparison with real-time PCR, the assay demonstrated 100 % agreement, detecting unlabeled peach content in 25 % of commercial fruit juices, highlighting the assay's potential for routine market surveillance. This cost-effective, equipment-minimal approach empowers regulatory inspectors and quality control officers to perform rapid on-site authenticity checks, thereby strengthening food safety monitoring and consumer protection. • Rapid detection of peach DNA using RAA-CRISPR/Cas12a in 50 min. • Visual results without specialized equipment, with detection limits of 1 % adulteration. • Self-heating patch enables on-site detection without power or lab devices. • 100 % agreement with real-time PCR in commercial juices detecting. [ABSTRACT FROM AUTHOR] |
| Copyright of Food Control is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186500091 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Rapid and sensitive on-site detection of peach (Prunus persica) species in fruit juices using a RAA-CRISPR/Cas12a approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Lin%22">Wang, Lin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xing%2C+Ran-Ran%22">Xing, Ran-Ran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xingranrancaiq@163.com</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Xiao-Ke%22">Liang, Xiao-Ke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Yao-Xian%22">Yu, Yao-Xian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yi%2C+Qiu-Ju%22">Yi, Qiu-Ju</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Si-Yuan%22">Lu, Si-Yuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deng%2C+Ting-Ting%22">Deng, Ting-Ting</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiu-Kai%22">Zhang, Jiu-Kai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xu%22">Wang, Xu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Ying%22">Chen, Ying</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chenyingcaiq@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Food+Control%22">Food Control</searchLink>. Dec2025, Vol. 178, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Quality+control+inspectors%22">Quality control inspectors</searchLink><br /><searchLink fieldCode="DE" term="%22Food+adulteration%22">Food adulteration</searchLink><br /><searchLink fieldCode="DE" term="%22Food+safety%22">Food safety</searchLink><br /><searchLink fieldCode="DE" term="%22CRISPRs%22">CRISPRs</searchLink><br /><searchLink fieldCode="DE" term="%22Fruit+juices%22">Fruit juices</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Food adulteration, particularly involving allergenic ingredients like peach (Prunus persica), poses risks to consumer health and food safety, yet current laboratory-based DNA detection methods require extensive processing time, specialized thermal cyclers, and trained personnel, limiting their field deployment. To address these constraints, we have developed a rapid (50 min), highly sensitive (10−2 ng/μL; 1 % 1 % (w/w) adulteration) and portable DNA assay by integrating recombinase-aided amplification (RAA) with CRISPR/Cas12a under a constant 37 °C isothermal step, with visual readout by naked eye. Incorporation of a self-heating patch replaces laboratory heating devices, enabling fully power-free on-site operation. In a comparison with real-time PCR, the assay demonstrated 100 % agreement, detecting unlabeled peach content in 25 % of commercial fruit juices, highlighting the assay's potential for routine market surveillance. This cost-effective, equipment-minimal approach empowers regulatory inspectors and quality control officers to perform rapid on-site authenticity checks, thereby strengthening food safety monitoring and consumer protection. • Rapid detection of peach DNA using RAA-CRISPR/Cas12a in 50 min. • Visual results without specialized equipment, with detection limits of 1 % adulteration. • Self-heating patch enables on-site detection without power or lab devices. • 100 % agreement with real-time PCR in commercial juices detecting. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Food Control is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.foodcont.2025.111502 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Quality control inspectors Type: general – SubjectFull: Food adulteration Type: general – SubjectFull: Food safety Type: general – SubjectFull: CRISPRs Type: general – SubjectFull: Fruit juices Type: general Titles: – TitleFull: Rapid and sensitive on-site detection of peach (Prunus persica) species in fruit juices using a RAA-CRISPR/Cas12a approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Lin – PersonEntity: Name: NameFull: Xing, Ran-Ran – PersonEntity: Name: NameFull: Liang, Xiao-Ke – PersonEntity: Name: NameFull: Yu, Yao-Xian – PersonEntity: Name: NameFull: Yi, Qiu-Ju – PersonEntity: Name: NameFull: Lu, Si-Yuan – PersonEntity: Name: NameFull: Deng, Ting-Ting – PersonEntity: Name: NameFull: Zhang, Jiu-Kai – PersonEntity: Name: NameFull: Wang, Xu – PersonEntity: Name: NameFull: Chen, Ying IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09567135 Numbering: – Type: volume Value: 178 Titles: – TitleFull: Food Control Type: main |
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