View in EDS

Ultrasensitive quantitation of Paraquat based on a small molecule-induced dual-cycle amplification strategy.

Saved in:
Bibliographic Details
Title: Ultrasensitive quantitation of Paraquat based on a small molecule-induced dual-cycle amplification strategy.
Authors: Chen, Hao-Ran1 (AUTHOR), Zhang, Shun2,3 (AUTHOR), Chen, Tao1 (AUTHOR), Yang, Wei-Guo1 (AUTHOR), Su, Ming-Li1 (AUTHOR), Fu, Guan-Yan2 (AUTHOR), Yi, Wei-Jing3 (AUTHOR), Yuan, Ruo1 (AUTHOR), Xu, Shang-Cheng1,2 (AUTHOR) xushangchengmito@163.com, Liang, Wen-Bin1 (AUTHOR) wenbinliangasu@gmail.com
Source: Biosensors & Bioelectronics. Nov2023, Vol. 240, pN.PAG-N.PAG. 1p.
Subjects: Paraquat, Pesticide residues in food, Organophosphorus pesticides, Small molecules, Pesticide pollution, CRISPRs
Abstract: Paraquat (PQ) is a typical biotoxic small molecule. Knowledge of how to directly introduce it into cyclic amplification rather than transform it into a secondary target is lacking in current analytical methods. Considering the urgent need for trace pesticide residue detection and the inherent defects of small molecule analysis, a CRISPR/Cas12a-driven small molecule-induced dual-cycle strategy was developed based on the immune competition method. The key to signal amplification is the mutual activation and acceleration between Cycle 1 triggered by the small molecule and Cycle 2 driven by CRISPR/Cas12a. Impressively, small molecules have been successfully incorporated into the dual-cycle strategy, which achieves a low detection limit (3.1 pg/mL) and a wide linear range (from 10 pg/mL to 50 μg/mL). Moreover, the designed biosensor was successfully employed to evaluate the PQ residual level in real samples and showed effective implementation for the bioanalysis of small molecule targets and pesticide residue-related food safety. [ABSTRACT FROM AUTHOR]
Copyright of Biosensors & Bioelectronics 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
Header DbId: egs
DbLabel: Engineering Source
An: 171880290
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Ultrasensitive quantitation of Paraquat based on a small molecule-induced dual-cycle amplification strategy.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Hao-Ran%22">Chen, Hao-Ran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Shun%22">Zhang, Shun</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Tao%22">Chen, Tao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Wei-Guo%22">Yang, Wei-Guo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Su%2C+Ming-Li%22">Su, Ming-Li</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fu%2C+Guan-Yan%22">Fu, Guan-Yan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yi%2C+Wei-Jing%22">Yi, Wei-Jing</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yuan%2C+Ruo%22">Yuan, Ruo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Shang-Cheng%22">Xu, Shang-Cheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> xushangchengmito@163.com</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Wen-Bin%22">Liang, Wen-Bin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wenbinliangasu@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Biosensors+%26+Bioelectronics%22">Biosensors & Bioelectronics</searchLink>. Nov2023, Vol. 240, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Paraquat%22">Paraquat</searchLink><br /><searchLink fieldCode="DE" term="%22Pesticide+residues+in+food%22">Pesticide residues in food</searchLink><br /><searchLink fieldCode="DE" term="%22Organophosphorus+pesticides%22">Organophosphorus pesticides</searchLink><br /><searchLink fieldCode="DE" term="%22Small+molecules%22">Small molecules</searchLink><br /><searchLink fieldCode="DE" term="%22Pesticide+pollution%22">Pesticide pollution</searchLink><br /><searchLink fieldCode="DE" term="%22CRISPRs%22">CRISPRs</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Paraquat (PQ) is a typical biotoxic small molecule. Knowledge of how to directly introduce it into cyclic amplification rather than transform it into a secondary target is lacking in current analytical methods. Considering the urgent need for trace pesticide residue detection and the inherent defects of small molecule analysis, a CRISPR/Cas12a-driven small molecule-induced dual-cycle strategy was developed based on the immune competition method. The key to signal amplification is the mutual activation and acceleration between Cycle 1 triggered by the small molecule and Cycle 2 driven by CRISPR/Cas12a. Impressively, small molecules have been successfully incorporated into the dual-cycle strategy, which achieves a low detection limit (3.1 pg/mL) and a wide linear range (from 10 pg/mL to 50 μg/mL). Moreover, the designed biosensor was successfully employed to evaluate the PQ residual level in real samples and showed effective implementation for the bioanalysis of small molecule targets and pesticide residue-related food safety. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Biosensors & Bioelectronics 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=171880290
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.bios.2023.115640
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Paraquat
        Type: general
      – SubjectFull: Pesticide residues in food
        Type: general
      – SubjectFull: Organophosphorus pesticides
        Type: general
      – SubjectFull: Small molecules
        Type: general
      – SubjectFull: Pesticide pollution
        Type: general
      – SubjectFull: CRISPRs
        Type: general
    Titles:
      – TitleFull: Ultrasensitive quantitation of Paraquat based on a small molecule-induced dual-cycle amplification strategy.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Hao-Ran
      – PersonEntity:
          Name:
            NameFull: Zhang, Shun
      – PersonEntity:
          Name:
            NameFull: Chen, Tao
      – PersonEntity:
          Name:
            NameFull: Yang, Wei-Guo
      – PersonEntity:
          Name:
            NameFull: Su, Ming-Li
      – PersonEntity:
          Name:
            NameFull: Fu, Guan-Yan
      – PersonEntity:
          Name:
            NameFull: Yi, Wei-Jing
      – PersonEntity:
          Name:
            NameFull: Yuan, Ruo
      – PersonEntity:
          Name:
            NameFull: Xu, Shang-Cheng
      – PersonEntity:
          Name:
            NameFull: Liang, Wen-Bin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 09565663
          Numbering:
            – Type: volume
              Value: 240
          Titles:
            – TitleFull: Biosensors & Bioelectronics
              Type: main
ResultId 1