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Updated: Oct 6, 2025

Colorimetric Paper-based Detection of Escherichia coli, Salmonella spp., and Listeria monocytogenes from Large Volumes of Agricultural Water
Published on: June 9, 2014
A colorimetric gas-sensitive array sensor using filter paper for the analysis of fish freshness.
Haiying Liu1, Yiran Zhang2, Lu Huang2
1State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi Jiangsu, People's Republic of China; School of Food Science and Technology, Jiangnan University, Wuxi Jiangsu, People's Republic of China.
A new filter paper colorimetric array sensor (FPCAS) accurately detects fish freshness. This low-cost sensor shows high accuracy in distinguishing fish quality under various storage conditions, aiding food safety.
Area of Science:
- Food Science
- Analytical Chemistry
- Sensor Technology
Background:
- Assessing fish freshness is crucial for food safety and quality control.
- Traditional methods for determining fish freshness can be time-consuming and complex.
- There is a need for rapid, cost-effective, and reliable fish freshness indicators.
Purpose of the Study:
- To develop and evaluate a novel colorimetric array sensor using filter paper (FPCAS) for detecting fish freshness.
- To assess the sensor's performance in distinguishing fish quality under different storage temperatures.
- To determine the potential of FPCAS as a low-cost indicator for fish and meat freshness.
Main Methods:
- Screening of 16 common chemical indicators sensitive to trimethylamine, aldehydes, and sulfides.
- Sensitization and immobilization of selected indicators onto filter paper to create the FPCAS.
- Testing FPCAS performance on bass stored at 30°C and 4°C to assess fish freshness.
- Calculating total discriminant accuracy and cross-validation accuracy for different storage conditions.
Main Results:
- FPCAS demonstrated high effectiveness in detecting fish freshness, particularly in later storage stages.
- When testing bass stored at 30°C, FPCAS achieved 100% total discriminant accuracy and 63.5% cross-validation accuracy.
- For bass stored at 4°C, FPCAS reached 100% total discriminant accuracy and 93.3% cross-validation accuracy.
- The sensor utilizes low-cost materials, including filter paper and selected chemical indicators.
Conclusions:
- FPCAS is a viable and effective tool for distinguishing fish freshness, even under commercial cold storage conditions.
- The developed sensor offers a cost-effective solution for monitoring fish and meat quality.
- FPCAS shows promise as a practical freshness indicator for the food industry.
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