Recent advances in high-throughput green analytical testing technologies for food inspection

Timely and reliable detection of contaminants such as microorganisms, environmental contaminants, and adulterant is of paramount importance to ensure food quality. With the growing demand for sustainable and efficient food inspection practices, high-throughput green analytical testing technologies (HT-GATTs) have garnered significant attention for food safety inspections due to their higher detection efficiency, lower resource consumption, environmentally friendly etc. advantages, making it an excellent tool for various food inspection applications and a comprehensive reviewer article to summarize the latest achievements is urgent required. This review provides a comprehensive overview of the recent five years’ developments and applications of HT-GATTs in food inspection, especially the detection of food contaminants by chromatography, spectroscopy and microfluidics. We also discussed the background and key features of HT-GATTs, emphasizing their advantages and limitations, particularly in terms of solvent usage and the selection of an appropriate detection platform to achieve high-throughput and rapid testing. Finally, we summarize the current challenges and look ahead to future potential trends on HT-GATTs, providing insights into future research and development directions in this field to foster continuous innovation and address emerging food safety issues.

Authors

Publication Details

Journal
Green Analytical Chemistry
Published
2025-08-13
DOI
https://doi.org/10.1016/j.greeac.2025.100292
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recent advances in high-throughput green analytical testing technologies for food inspection

Chong Duan, Jinlai Zhao, Weiyang Tang, Haixia Xie et al.
1 citations
Green Analytical Chemistry
Advanced Chemical Sensor Technologies
0.67
article

Recent advances in high-throughput green analytical testing technologies for food inspection

Chong Duan, Jinlai Zhao, Weiyang Tang, Haixia Xie, Qingli Yang, Zi Long, Yingxin Sun, Yi Sun
article en
1 citations

Abstract

Timely and reliable detection of contaminants such as microorganisms, environmental contaminants, and adulterant is of paramount importance to ensure food quality. With the growing demand for sustainable and efficient food inspection practices, high-throughput green analytical testing technologies (HT-GATTs) have garnered significant attention for food safety inspections due to their higher detection efficiency, lower resource consumption, environmentally friendly etc. advantages, making it an excellent tool for various food inspection applications and a comprehensive reviewer article to summarize the latest achievements is urgent required. This review provides a comprehensive overview of the recent five years’ developments and applications of HT-GATTs in food inspection, especially the detection of food contaminants by chromatography, spectroscopy and microfluidics. We also discussed the background and key features of HT-GATTs, emphasizing their advantages and limitations, particularly in terms of solvent usage and the selection of an appropriate detection platform to achieve high-throughput and rapid testing. Finally, we summarize the current challenges and look ahead to future potential trends on HT-GATTs, providing insights into future research and development directions in this field to foster continuous innovation and address emerging food safety issues.

Green Analytical ChemistryVol. 14
Zero hunger
Openalex Percentile: Top 28%
Advanced Chemical Sensor Technologies
0.67
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.