Work

Integrating transformer-based machine learning with SERS technology for the analysis of hazardous pesticides in spinach

Year: 2024

Type: article

Source: Journal of Hazardous Materials

DOI: 10.1016/j.jhazmat.2024.134208

Authors: Mehdi Hajikhani, Akashata Hegde, John Snyder, Jianlin Cheng, Mengshi Lin

Institution: University of Missouri

Language: English

Topic: Gold and Silver Nanoparticles Synthesis and Applications

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: bronze

Funders: National Science Foundation, National Institute of Food and Agriculture

Awards: G563386962, Collaborative Research: CRISPR-SERS system for rapid and ultrasensitive detection of foodborne bacterial pathogens, G709373808

OpenAlex ID: W4393857950

FWCI: 5.614

Cites: 38

Cited by: 72

Related to: 10