Academic Journal
Προβολή σε EDS

CRISPR Biosensing for Environmental Monitoring: Workflow Design and Performance Benchmarking.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: CRISPR Biosensing for Environmental Monitoring: Workflow Design and Performance Benchmarking.
Συγγραφείς: Wang S; Department of Civil and Environmental Engineering, Clarkson University 8 Clarkson Avenue, Potsdam, New York13699, United States., Hasan R; Department of Civil and Environmental Engineering, Clarkson University 8 Clarkson Avenue, Potsdam, New York13699, United States.
Πηγή: Environmental science & technology [Environ Sci Technol] 2026 Jul 28; Vol. 60 (29), pp. 20150-20173.
Τύπος έκδοσης: Journal Article; Review
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
Imprint Name(s): Publication: Washington DC : American Chemical Society
Original Publication: Easton, Pa. : American Chemical Society, c1967-
Ιατρικοί όροι (MeSH): Environmental Monitoring* , Biosensing Techniques* , Clustered Regularly Interspaced Short Palindromic Repeats*, Benchmarking ; Workflow
Περίληψη: CRISPR-based biosensing has rapidly emerged as a promising platform for environmental monitoring due to its high specificity, programmability, and compatibility with portable readouts. However, translation from biomedical diagnostics to environmental matrices remains challenging because of diverse sample types, complex inhibitors, and the breadth of biological and chemical targets. This Review provides a comprehensive analysis of CRISPR-based sensing technologies tailored for environmental contaminant detection, spanning both biological and chemical targets. We systematically evaluate published studies across target classes, Cas effectors, recognition mediators, sample matrices, pretreatment strategies, preamplification or signal-gain approaches, readout modalities, and reported performance metrics. To support practical implementation, we summarize a five-step experimental framework for environmental CRISPR sensing. We then propose a decision-guided design flowchart that links monitoring goals and matrix constraints to the selection of effectors, mediator-enabled transduction routes, pretreatment modules, amplification strategies, readouts, and validation controls. We further benchmark reported detection limits by normalizing units and comparing trends across preamplification-aided versus preamplification-free designs and by contextualizing performance against relevant regulatory or guideline thresholds when available. Across the literature, most studies rely on spiked-matrix validation, highlighting the need for broader nonspiked real environmental sample testing and more transparent reporting of sampling, pretreatment, and performance evaluation. Finally, we advocate standardized data reporting, including consistent units, workflow metadata, and matrix-matched validation, to enable cross-study comparison and accelerate the deployment of CRISPR-based sensors for real-world environmental monitoring.
(© 2026 The Authors. Published by American Chemical Society.)
Grant Information: C190175 New York State Center of Excellence in Health Water Solutions; CBET 2347207 U.S. National Science Foundation
Contributed Indexing: Keywords: CRISPR–Cas; biosensing; environmental monitoring; regulatory threshold; sample pretreatment; workflow design
Entry Date(s): Date Created: 20260711 Date Completed: 20260729 Latest Revision: 20260729
Update Code: 20260730
DOI: 10.1021/acs.est.6c02006
PMID: 42434939
Βάση Δεδομένων: MEDLINE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:cmedm&genre=article&issn=15205851&ISBN=&volume=60&issue=29&date=20260728&spage=20150&pages=20150-20173&title=Environmental science & technology&atitle=CRISPR%20Biosensing%20for%20Environmental%20Monitoring%3A%20Workflow%20Design%20and%20Performance%20Benchmarking.&aulast=Wang%20S&id=DOI:10.1021/acs.est.6c02006
    Name: Full Text Finder (for New FTF UI) (ns324271)
    Category: fullText
    Text: Full Text Finder
    MouseOverText: Full Text Finder
Header DbId: cmedm
DbLabel: MEDLINE
An: 42434939
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: CRISPR Biosensing for Environmental Monitoring: Workflow Design and Performance Benchmarking.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wang+S%22">Wang S</searchLink>; Department of Civil and Environmental Engineering, Clarkson University 8 Clarkson Avenue, Potsdam, New York13699, United States.<br /><searchLink fieldCode="AU" term="%22Hasan+R%22">Hasan R</searchLink>; Department of Civil and Environmental Engineering, Clarkson University 8 Clarkson Avenue, Potsdam, New York13699, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2026 Jul 28; Vol. 60 (29), pp. 20150-20173.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Review
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0213155 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5851 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220013936X%22">0013936X </searchLink><i>NLM ISO Abbreviation: </i>Environ Sci Technol <i>Subsets: </i>MEDLINE
– Name: PublisherInfo
  Label: Imprint Name(s)
  Group: PubInfo
  Data: <i>Publication</i>: Washington DC : American Chemical Society<br /><i>Original Publication</i>: Easton, Pa. : American Chemical Society, c1967-
– Name: SubjectMESH
  Label: MeSH Terms
  Group: Su
  Data: <searchLink fieldCode="MM" term="%22Environmental+Monitoring%22">Environmental Monitoring*</searchLink> <br /><searchLink fieldCode="MM" term="%22Biosensing+Techniques%22">Biosensing Techniques*</searchLink> <br /><searchLink fieldCode="MM" term="%22Clustered+Regularly+Interspaced+Short+Palindromic+Repeats%22">Clustered Regularly Interspaced Short Palindromic Repeats*</searchLink><br /><searchLink fieldCode="MH" term="%22Benchmarking%22">Benchmarking</searchLink> ; <searchLink fieldCode="MH" term="%22Workflow%22">Workflow</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: CRISPR-based biosensing has rapidly emerged as a promising platform for environmental monitoring due to its high specificity, programmability, and compatibility with portable readouts. However, translation from biomedical diagnostics to environmental matrices remains challenging because of diverse sample types, complex inhibitors, and the breadth of biological and chemical targets. This Review provides a comprehensive analysis of CRISPR-based sensing technologies tailored for environmental contaminant detection, spanning both biological and chemical targets. We systematically evaluate published studies across target classes, Cas effectors, recognition mediators, sample matrices, pretreatment strategies, preamplification or signal-gain approaches, readout modalities, and reported performance metrics. To support practical implementation, we summarize a five-step experimental framework for environmental CRISPR sensing. We then propose a decision-guided design flowchart that links monitoring goals and matrix constraints to the selection of effectors, mediator-enabled transduction routes, pretreatment modules, amplification strategies, readouts, and validation controls. We further benchmark reported detection limits by normalizing units and comparing trends across preamplification-aided versus preamplification-free designs and by contextualizing performance against relevant regulatory or guideline thresholds when available. Across the literature, most studies rely on spiked-matrix validation, highlighting the need for broader nonspiked real environmental sample testing and more transparent reporting of sampling, pretreatment, and performance evaluation. Finally, we advocate standardized data reporting, including consistent units, workflow metadata, and matrix-matched validation, to enable cross-study comparison and accelerate the deployment of CRISPR-based sensors for real-world environmental monitoring.<br /> (© 2026 The Authors. Published by American Chemical Society.)
– Name: GrantInfo
  Label: Grant Information
  Group: Grant
  Data: C190175 New York State Center of Excellence in Health Water Solutions; CBET 2347207 U.S. National Science Foundation
– Name: SubjectMinor
  Label: Contributed Indexing
  Group:
  Data: <i>Keywords: </i>CRISPR–Cas; biosensing; environmental monitoring; regulatory threshold; sample pretreatment; workflow design
– Name: DateEntry
  Label: Entry Date(s)
  Group: Date
  Data: <i>Date Created: </i>20260711 <i>Date Completed: </i>20260729 <i>Latest Revision: </i>20260729
– Name: DateUpdate
  Label: Update Code
  Group: Date
  Data: 20260730
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1021/acs.est.6c02006
– Name: AN
  Label: PMID
  Group: ID
  Data: 42434939
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=cmedm&AN=42434939
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1021/acs.est.6c02006
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 20150
    Subjects:
      – SubjectFull: Benchmarking
        Type: general
      – SubjectFull: Workflow
        Type: general
      – SubjectFull: Environmental Monitoring
        Type: general
      – SubjectFull: Biosensing Techniques
        Type: general
      – SubjectFull: Clustered Regularly Interspaced Short Palindromic Repeats
        Type: general
    Titles:
      – TitleFull: CRISPR Biosensing for Environmental Monitoring: Workflow Design and Performance Benchmarking.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang S
      – PersonEntity:
          Name:
            NameFull: Hasan R
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 28
              M: 07
              Text: 2026 Jul 28
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1520-5851
          Numbering:
            – Type: volume
              Value: 60
            – Type: issue
              Value: 29
          Titles:
            – TitleFull: Environmental science & technology
              Type: main
ResultId 1