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

Year: 2025

Type: article

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.

Source: Sustainable Food Technology

DOI: 10.1039/d5fb00802f

Authors: Yingying Huang, Daqian Lu, Sihang Zhang, Shouxiang Jiang, Yonghui Zhou, Jiangtao Xu

Institutions: South China Agricultural University, Hong Kong Polytechnic University, Hainan University

Language: English

Topic: Gold and Silver Nanoparticles Synthesis and Applications

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: diamond

Funders: China Agricultural University, Guangdong Science and Technology Department, South China Agricultural University, Guangzhou Municipal Science and Technology Bureau

Awards: G1785389612, G3031510215

OpenAlex ID: W7110430820

FWCI: 1.141

Cites: 28

Cited by: 7

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