Advances in smartphone assisted sensors for on-site detection of food safety based on fluorescence on-off-on mode: A review

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 489, P. 151225 - 151225

Published: April 11, 2024

Language: Английский

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Sea cucumber-inspired self-assembly nanozyme for ultrasensitive and tri-modal colorimetric quantification of pathogenic bacteria

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: 431, P. 137314 - 137314

Published: Feb. 16, 2025

Language: Английский

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On-site and Visual Detection of Ciprofloxacin in Meat Samples Using a Smartphone-assisted Ratio Fluorescence Probe

Food Control, Journal Year: 2025, Volume and Issue: unknown, P. 111222 - 111222

Published: Feb. 1, 2025

Language: Английский

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Advancing tea detection with artificial intelligence: strategies, progress, and future prospects

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: unknown, P. 104731 - 104731

Published: Sept. 1, 2024

Language: Английский

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Smartphone assisted paper strip-based colorimetric sensing of phosphate and copper ions utilizing bi-ligand intercalated cobalt-MOF as a dual functional nanozyme

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(5), P. 113522 - 113522

Published: July 7, 2024

Language: Английский

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Raman Spectroscopy-Based Chemometrics for Pesticide Residue Detection: Current Approaches and Future Challenges

ACS Agricultural Science & Technology, Journal Year: 2024, Volume and Issue: 4(4), P. 389 - 404

Published: March 22, 2024

Inappropriate pesticide usage leads to unsustainable agricultural practices and deteriorates the quality of fruits vegetables by introducing potentially hazardous substances. Raman spectroscopy, specifically surface-enhanced spectroscopy (SERS), offers high-sensitivity in situ monitoring residues. This review emphasizes importance advanced databases algorithms interpreting signals. Various statistical models are introduced for spectral analysis, including self-modeling curve resolution, multivariate mixture analysis. Additionally, this study provides comprehensive information on different SERS substrates shows great potential determination food However, a multicomponent analysis is needed mixtures. The overlapping bands needs be considered due complex matrices biological samples. Artificial neural networks (ANNs) applied as nonlinear when analytes mixture. Further research establish standardized protocols SERS-based quantitative detection, sample preparation data

Language: Английский

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A smartphone-based colorimetric sensing platform for detection of blood viscosity and hemoglobin

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: 432, P. 137495 - 137495

Published: Feb. 24, 2025

Language: Английский

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SERS methods for detecting acetamiprid and pymetrozine in fruits using the substrate of CuO-protected silver nanoparticles modified with β-cyclodextrin

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113382 - 113382

Published: March 1, 2025

Language: Английский

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A fluorescence probe-smartphone-machine learning integrated platform for the visual and intelligent detection of imidacloprid in agricultural products

Food Chemistry, Journal Year: 2025, Volume and Issue: 483, P. 144197 - 144197

Published: April 5, 2025

Language: Английский

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Ultra-sensitive, versatile and portable detection of hydrazine in eco-environmental systems using a smartphone-integrated ratiometric fluorescent sensor

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 492, P. 138172 - 138172

Published: April 5, 2025

Language: Английский

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