Joint application of Raman and optical absorption spectroscopy to determine concentrations of heavy metal ions in water using artificial neural networks

Igor Isaev; Nikita Trifonov; Olga Sarmanova; Sergey Burikov; Tatiana Dolenko; Kirill Laptinskiy; Sergey Dolenko

doi:10.1117/12.2564398

9 April 2020 Joint application of Raman and optical absorption spectroscopy to determine concentrations of heavy metal ions in water using artificial neural networks

Igor Isaev, Nikita Trifonov, Olga Sarmanova, Sergey Burikov, Tatiana Dolenko, Kirill Laptinskiy, Sergey Dolenko

Author Affiliations +

Proceedings Volume 11458, Saratov Fall Meeting 2019: Laser Physics, Photonic Technologies, and Molecular Modeling; 114580R (2020) https://doi.org/10.1117/12.2564398
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation

Abstract

For many methods of optical spectroscopy, there is no analytical and/or direct numerical solution for the problem of determination of concentrations of each component in multi-component solutions by spectra. Therefore, recently, the application of machine learning methods to solve these problems has been actively investigated. In this study, it is suggested to use an ensemble of optical spectroscopy methods to increase the accuracy and noise resilience of the solution obtained by machine learning methods. We consider joint use of Raman spectroscopy and optical absorption spectroscopy methods to determine the concentrations of heavy metal ions in water. This complex inverse problem is solved by artificial neural networks as a machine learning method. It is demonstrated that when one of the methods is strong by its results, and the other is weak, their joint application does not allow one to improve the results of the strong method. Some other observations regarding the solution of the studied problem are reported.

Citation Download Citation

Igor Isaev, Nikita Trifonov, Olga Sarmanova, Sergey Burikov, Tatiana Dolenko, Kirill Laptinskiy, and Sergey Dolenko "Joint application of Raman and optical absorption spectroscopy to determine concentrations of heavy metal ions in water using artificial neural networks", Proc. SPIE 11458, Saratov Fall Meeting 2019: Laser Physics, Photonic Technologies, and Molecular Modeling, 114580R (9 April 2020); https://doi.org/10.1117/12.2564398

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available