TinyML-Raman: A novel IoT based field-deployable spectra analysis for accurate identification of pharmaceuticals and trace dye-pesticide mixtures from facile SERS method

Author:

Bitra Venkat Suprabath,Verma ShwetaORCID,Rao B. Tirumala

Publisher

Elsevier BV

Reference60 articles.

1. Recent progresses in machine learning assisted Raman spectroscopy;Yaping;Adv. Optical Mater.,2023

2. Machine learning-augmented surface enhanced spectroscopy toward next-generation molecular diagnostics;Hong;Nanoscale Adv.,2023

3. A facile, portable surface-enhanced Raman spectroscopy sensing platform for on-site chemometrics of toxic chemicals, Sensors & Actuators: B;Soogeun;Chemical,2021

4. Optical response of Au films for reproducible Si nano-structuring and its application for efficient micro-drop SERS with portable Raman system;Verma;Mater. Chem. Phys.,2023

5. Detection of pesticide residues using nano-SERS chip and a smartphone-based Raman sensor;Taotao;IEEE J. Sel. Top. Quant. Electronics,2019

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