Application of Molecularly Imprinted Polymers in the Analysis of Explosives.

Saved in:
Bibliographic Details
Title: Application of Molecularly Imprinted Polymers in the Analysis of Explosives.
Authors: Wei, Chenjie1 (AUTHOR), Feng, Lin1,2 (AUTHOR), Deng, Xianhe1,2 (AUTHOR), Li, Yajun2 (AUTHOR), Mei, Hongcheng2 (AUTHOR), Guo, Hongling2 (AUTHOR), Zhu, Jun2 (AUTHOR) zhujun001cn@126.com, Hu, Can2 (AUTHOR) hucanjiayou@126.com
Source: Polymers (20734360). May2025, Vol. 17 Issue 10, p1410. 27p.
Subjects: Explosives analysis, Complex matrices, Technological innovations, Public safety, Public administration, Imprinted polymers, Explosives detection
Abstract: The detection of explosives is highly important for the investigation of explosion cases and public safety management. However, the detection of trace explosive residues in complex matrices remains a major challenge. Molecularly imprinted polymers (MIPs), which mimic the antigen–antibody recognition mechanism, can selectively recognize and bind target explosive molecules. They offer advantages such as high efficiency, specificity, renewability, and ease of preparation, and they have shown significant potential for the efficient extraction and highly sensitive detection of trace explosive residues in complex matrices. This review comprehensively discusses the applications of MIPs in the analysis of explosives; systematically summarizes the preparation methods; and evaluates their performance in detecting nitroaromatic explosives, nitrate esters, nitroamine explosives, and peroxide explosives. Finally, this review explores the future potential of emerging technologies in enhancing the MIP-based analysis of explosives. The aim is to support the further application of MIPs in the investigation of explosion cases and safety management, providing more effective technical solutions for public safety. [ABSTRACT FROM AUTHOR]
Copyright of Polymers (20734360) is the property of MDPI 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 185473750
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Application of Molecularly Imprinted Polymers in the Analysis of Explosives.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wei%2C+Chenjie%22">Wei, Chenjie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Lin%22">Feng, Lin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deng%2C+Xianhe%22">Deng, Xianhe</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yajun%22">Li, Yajun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mei%2C+Hongcheng%22">Mei, Hongcheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Hongling%22">Guo, Hongling</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Jun%22">Zhu, Jun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zhujun001cn@126.com</i><br /><searchLink fieldCode="AR" term="%22Hu%2C+Can%22">Hu, Can</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> hucanjiayou@126.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Polymers+%2820734360%29%22">Polymers (20734360)</searchLink>. May2025, Vol. 17 Issue 10, p1410. 27p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Explosives+analysis%22">Explosives analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Complex+matrices%22">Complex matrices</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Public+safety%22">Public safety</searchLink><br /><searchLink fieldCode="DE" term="%22Public+administration%22">Public administration</searchLink><br /><searchLink fieldCode="DE" term="%22Imprinted+polymers%22">Imprinted polymers</searchLink><br /><searchLink fieldCode="DE" term="%22Explosives+detection%22">Explosives detection</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The detection of explosives is highly important for the investigation of explosion cases and public safety management. However, the detection of trace explosive residues in complex matrices remains a major challenge. Molecularly imprinted polymers (MIPs), which mimic the antigen–antibody recognition mechanism, can selectively recognize and bind target explosive molecules. They offer advantages such as high efficiency, specificity, renewability, and ease of preparation, and they have shown significant potential for the efficient extraction and highly sensitive detection of trace explosive residues in complex matrices. This review comprehensively discusses the applications of MIPs in the analysis of explosives; systematically summarizes the preparation methods; and evaluates their performance in detecting nitroaromatic explosives, nitrate esters, nitroamine explosives, and peroxide explosives. Finally, this review explores the future potential of emerging technologies in enhancing the MIP-based analysis of explosives. The aim is to support the further application of MIPs in the investigation of explosion cases and safety management, providing more effective technical solutions for public safety. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Polymers (20734360) is the property of MDPI 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=185473750
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/polym17101410
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 27
        StartPage: 1410
    Subjects:
      – SubjectFull: Explosives analysis
        Type: general
      – SubjectFull: Complex matrices
        Type: general
      – SubjectFull: Technological innovations
        Type: general
      – SubjectFull: Public safety
        Type: general
      – SubjectFull: Public administration
        Type: general
      – SubjectFull: Imprinted polymers
        Type: general
      – SubjectFull: Explosives detection
        Type: general
    Titles:
      – TitleFull: Application of Molecularly Imprinted Polymers in the Analysis of Explosives.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wei, Chenjie
      – PersonEntity:
          Name:
            NameFull: Feng, Lin
      – PersonEntity:
          Name:
            NameFull: Deng, Xianhe
      – PersonEntity:
          Name:
            NameFull: Li, Yajun
      – PersonEntity:
          Name:
            NameFull: Mei, Hongcheng
      – PersonEntity:
          Name:
            NameFull: Guo, Hongling
      – PersonEntity:
          Name:
            NameFull: Zhu, Jun
      – PersonEntity:
          Name:
            NameFull: Hu, Can
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 05
              Text: May2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20734360
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Polymers (20734360)
              Type: main
ResultId 1