Portable Raman spectroscopy combined with machine learning for highly sensitive and rapid detection of food pollutants with flexible Ag@TiO <sub>2</sub> @polyester SERS substrates

Flexible, Ag NP-decorated porous TiO 2 SERS substrates combined with a portable Raman spectrometer and machine learning algorithms realize the rapid detection and identification of mixed pollutants.

Institutions

Publication Details

Journal
Sustainable Food Technology
Published
2025-12-08
DOI
https://doi.org/10.1039/d5fb00802f
Citations
1
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.43

Funders

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article

Portable Raman spectroscopy combined with machine learning for highly sensitive and rapid detection of food pollutants with flexible Ag@TiO 2 @polyester SERS substrates

1 citations
Sustainable Food Technology
Gold and Silver Nanoparticles Synthesis and Applications
0.43
article

Portable Raman spectroscopy combined with machine learning for highly sensitive and rapid detection of food pollutants with flexible Ag@TiO 2 @polyester SERS substrates

article en
1 citations

Abstract

Flexible, Ag NP-decorated porous TiO 2 SERS substrates combined with a portable Raman spectrometer and machine learning algorithms realize the rapid detection and identification of mixed pollutants.

Sustainable Food TechnologyVol. 4(2)
South China Agricultural University (CN), Hong Kong Polytechnic University (HK), Hainan University (CN)
China Agricultural University, South China Agricultural University, Guangzhou Municipal Science and Technology Bureau
Zero hunger
Openalex Percentile: Top 32%
Gold and Silver Nanoparticles Synthesis and Applications
0.43
DOIOpen Access PDFOpenAlex
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