Document Type
Article
Publication Date
2025
DOI
10.1371/journal.pone.0317130
Publication Title
PLoS ONE
Volume
20
Issue
1
Pages
e0317130 (1-14)
Abstract
Amino acid identification is crucial across various scientific disciplines, including biochemistry, pharmaceutical research, and medical diagnostics. However, traditional methods such as mass spectrometry require extensive sample preparation and are time-consuming, complex and costly. Therefore, this study presents a pioneering Machine Learning (ML) approach for automatic amino acid identification by utilizing the unique absorption profiles from an Elliptical Dichroism (ED) spectrometer. Advanced data preprocessing techniques and ML algorithms to learn patterns from the absorption profiles that distinguish different amino acids were investigated to prove the feasibility of this approach. The results show that ML can potentially revolutionize the amino acid analysis and detection paradigm.
Rights
© 2025 Balamurugan et al.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability
Article states: "Data for this article, including the codes built to analyze, are available at {https://github.com/Ridhanya/Amino_Acid_Classification_ED}."
Original Publication Citation
Balamurugan, R. S., Asad, Y., Gao, T., Nawarathna, D., Tida, U. R., & Sun, D. (2025). Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. PLoS One, 20(1), 1-14, Article e0317130. https://doi.org/10.1371/journal.pone.0317130
Repository Citation
Balamurugan, Ridhanya Sree; Asad, Yusuf; Gao, Tommy; Nawarathna, Dharmakeerthi; Tida, Umamaheswara Rao; and Sun, Dali, "Automating the Amino Acid Identification in Elliptical Dichroism Spectrometer with Machine Learning" (2025). Electrical & Computer Engineering Faculty Publications. 502.
https://digitalcommons.odu.edu/ece_fac_pubs/502
Supporting Information- Stability experiment of ED spectrometer over multiple days.
journal.pone.0317130.s002.pdf (495 kB)
Supporting Information- Baseline corrected and normalized absorption curves
Included in
Amino Acids, Peptides, and Proteins Commons, Medical Biochemistry Commons, Pharmacy and Pharmaceutical Sciences Commons, Theory and Algorithms Commons
