Stochastic generalization models learn to comprehensively detect volatile organic compounds associated with foodborne pathogens via Raman spectroscopy DOI Creative Commons
Bohong Zhang, Anand K. Nambisan, Abhishek Prakash Hungund

et al.

RSC Advances, Journal Year: 2025, Volume and Issue: 15(7), P. 4847 - 4860

Published: Jan. 1, 2025

Ensuring food safety requires continuous innovation, especially in the detection of foodborne pathogens and chemical contaminants.

Language: Английский

Recent Advances in Surface-Enhanced Raman Scattering for Pathogenic Bacteria Detection: A Review DOI Creative Commons
Yanan Wang, Zhiqiang Zhang,

Yixiang Sun

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1370 - 1370

Published: Feb. 23, 2025

Bacterial infection is one of the common infectious diseases in clinical practice, and research on efficient detection bacteria has attracted much attention recent years. Currently, traditional methods are mainly based cell culturing, microscopic examination, molecular biology techniques, all which have disadvantages complex operation time-consuming. Surface-enhanced Raman spectroscopy (SERS) technology shown prominent advantages bacterial identification because merit high-sensitivity, fast unique fingerprint spectrum. This paper investigates discusses application SERS detection, systematically reviews progress applications, including nano-enhanced dielectric materials SERS, signal amplification labeled molecules, integration with microfluidic technology. Finally, analyzes challenges associated offers insights into future development trends.

Language: Английский

Citations

1

Stochastic generalization models learn to comprehensively detect volatile organic compounds associated with foodborne pathogens via Raman spectroscopy DOI Creative Commons
Bohong Zhang, Anand K. Nambisan, Abhishek Prakash Hungund

et al.

RSC Advances, Journal Year: 2025, Volume and Issue: 15(7), P. 4847 - 4860

Published: Jan. 1, 2025

Ensuring food safety requires continuous innovation, especially in the detection of foodborne pathogens and chemical contaminants.

Language: Английский

Citations

0