Comment on "Combining derivative Raman with autofluorescence to improve the diagnosis performance of echinococcosis"

Ivan A Bratchenko; Lyudmila A Bratchenko

doi:10.1016/j.saa.2021.119514

Comment on "Combining derivative Raman with autofluorescence to improve the diagnosis performance of echinococcosis"

Spectrochim Acta A Mol Biomol Spectrosc. 2021 May 5:252:119514. doi: 10.1016/j.saa.2021.119514. Epub 2021 Feb 1.

Authors

Ivan A Bratchenko¹, Lyudmila A Bratchenko²

Affiliations

¹ Laser and Biotechnical Systems Department, Samara National Research University, Moskovskoe shosse 34, Samara 443086, Russia. Electronic address: iabratchenko@gmail.com.
² Laser and Biotechnical Systems Department, Samara National Research University, Moskovskoe shosse 34, Samara 443086, Russia.

PMID: 33549856
DOI: 10.1016/j.saa.2021.119514

Abstract

This paper comments on the article "Combining derivative Raman with autofluorescence to improve the diagnosis performance of echinococcosis" by X. Zheng et al. The authors put forward an idea to apply Raman spectroscopy and autofluorescence to measure spectral characteristics of human serum and diagnose echinococcosis. Despite the high performance of the proposed approach, the demonstrated results may be ambiguous due to the incorrect number of the utilized principal components in classification models for spectral datasets analysis.

Keywords: Cross-validation; Loadings; Model overestimation; Principal components; Raman spectroscopy.

MeSH terms

Echinococcosis* / diagnosis
Humans
Principal Component Analysis
Spectroscopy, Near-Infrared
Spectrum Analysis, Raman*