Novel Clean-Background Coffee Ring SERS Platform for Trace Toxin Analysis

Biotoxins, known for their ubiquity and potent toxicity, pose significant threats to ecosystems and human health, highlighting the urgency the development of robust detection methods. Despite the significant potential of surface-enhanced Raman spectroscopy (SERS) in analytical science, challenges emerge when dealing with low Raman active molecules, such as biotoxins. Our study addresses this by introducing an innovative, ultrasensitive, clean-background coffee ring SERS (CC-SERS) platform, specifically designed for the detection of neo-saxitoxin (neo-STX), saxitoxin (STX), microcystin-LR (MC-LR), and microcystin-RR (MC-RR) using the AgNPs@Ag<sub>2</sub>O@AgCl coffee rings. By fine-tuning surface ligands and laser wavelength, a clean SERS background was obtained for the accurate detection of biotoxins. The CC-SERS platform exhibited a strong linear response for STX, neo-STX and microcystins (MC-LR and MC-RR) with limit of detection (LOD, 3δ/k) of 3.3, 1.3, 2.2 and 2.2 nM, respectively. By employing principal component analysis (PCA), we effectively differentiated between highly similar biotoxins, ensuring precise identification within complex samples. The accuracy and sensitivity of this detection platform were validated through high-performance liquid chromatography (HPLC) and high-performance liquid chromatography-mass spectrometry (HPLC-MS) analysis of real samples, indicating its promising application in ensuring food safety.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-03-07
DOI
https://doi.org/10.1021/acs.analchem.5c00215
Citations
26
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
17.53

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel Clean-Background Coffee Ring SERS Platform for Trace Toxin Analysis

Xiaopan Fu, Fei Pan, Xing Liu, Long Wu et al.
26 citations
Analytical Chemistry
Biosensors and Analytical Detection
17.53
article

Novel Clean-Background Coffee Ring SERS Platform for Trace Toxin Analysis

Xiaopan Fu, Fei Pan, Xing Liu, Long Wu, Wei Zeng, Xuemei Tang
article en
26 citations

Abstract

Biotoxins, known for their ubiquity and potent toxicity, pose significant threats to ecosystems and human health, highlighting the urgency the development of robust detection methods. Despite the significant potential of surface-enhanced Raman spectroscopy (SERS) in analytical science, challenges emerge when dealing with low Raman active molecules, such as biotoxins. Our study addresses this by introducing an innovative, ultrasensitive, clean-background coffee ring SERS (CC-SERS) platform, specifically designed for the detection of neo-saxitoxin (neo-STX), saxitoxin (STX), microcystin-LR (MC-LR), and microcystin-RR (MC-RR) using the AgNPs@Ag<sub>2</sub>O@AgCl coffee rings. By fine-tuning surface ligands and laser wavelength, a clean SERS background was obtained for the accurate detection of biotoxins. The CC-SERS platform exhibited a strong linear response for STX, neo-STX and microcystins (MC-LR and MC-RR) with limit of detection (LOD, 3δ/k) of 3.3, 1.3, 2.2 and 2.2 nM, respectively. By employing principal component analysis (PCA), we effectively differentiated between highly similar biotoxins, ensuring precise identification within complex samples. The accuracy and sensitivity of this detection platform were validated through high-performance liquid chromatography (HPLC) and high-performance liquid chromatography-mass spectrometry (HPLC-MS) analysis of real samples, indicating its promising application in ensuring food safety.

Analytical ChemistryVol. 97(13)
Hainan University (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Apiculture Research (CN), Dalian Polytechnic University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Hainan Provincial Department of Science and Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Biosensors and Analytical Detection
17.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.