PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 14, 2026ACS Applied Bio Materials0 citations

Smartphone-Based Fe-ZIF Nanozyme-Driven Colorimetric Sensing Platform for In Situ Visual Detection of Glyphosate Residues on Fresh Tea Leaves

View Full Paper
YYYangTao YuanJMJiajia MiQLQiWei Li

Key Points

  • To develop an instrument-free platform for the rapid detection of glyphosate residues on fresh tea leaves.
  • Designed a smartphone-based colorimetric platform using Fe-ZIF nanozyme.
  • Evaluated the peroxidase-like activity of the nanozyme in the presence of glyphosate.
  • Implemented a portable colorimetric card for visual analysis of glyphosate residues.
  • Achieved detection of glyphosate residues within 15 minutes.
  • Demonstrated high selectivity against other substances.
  • Enabled quantitative analysis using smartphone RGB readout with color change measurement.

Abstract

Glyphosate, a widely used herbicide, poses significant food safety risks in tea production. Conventional detection methods are often instrument-dependent and require complex sample preparation. This study presents an innovative, instrument-free sensing platform that enables direct on-site detection of glyphosate residues on fresh tea leaves. The platform utilizes a Fe-ZIF nanozyme with high peroxidase-like activity. Glyphosate directly inhibits the nanozyme's active sites via chelation, reducing its ability to oxidize 3,3',5,5'-tetramethylbenzidine (TMB) and produce a blue color. This color change is captured using a portable colorimetric card and quantitatively analyzed via smartphone RGB readout. The method eliminates the need for biomolecular mediators, extraction, or centrifugation steps. This method achieves in situ glyphosate detection on tea leaves within 15 min, with high selectivity. This work provides a cost-effective, user-friendly tool for rapid field screening of glyphosate residues on fresh tea leaves.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yuan et al. (2026) studied this question.

synapsesocial.com/papers/696718c687ba607552bb8b1chttps://doi.org/10.1021/acsabm.5c02315
Ask AI
Helpful
Bookmark
Share
View Full Paper