Distinguishing Healthy and Carcinoma Cell Cultures Using Fluorescence Spectra Decomposition with a Genetic-Algorithm-Based Code
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Published:2023-02-11
Issue:2
Volume:13
Page:256
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ISSN:2079-6374
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Container-title:Biosensors
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language:en
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Short-container-title:Biosensors
Author:
Pospíšilová Marie1ORCID, Kalábová Hana1ORCID, Kuncová Gabriela23
Affiliation:
1. Faculty of Biomedical Engineering, Czech Technical University, nam. Sitna 3105, 272 01 Kladno, Czech Republic 2. Institute of Chemical Process Fundamentals of the ASCR, Rozvojova 135, 165 00 Prague, Czech Republic 3. Faculty of Environment, University of Jan Evangelista Purkyne, Pasteurova 3632/15, 400 96 Usti nad Labem, Czech Republic
Abstract
In this paper, we analysed the steady state fluorescence spectra of cell suspensions containing healthy and carcinoma fibroblast mouse cells, using a genetic-algorithm-spectra-decomposition software (GASpeD). In contrast to other deconvolution algorithms, such as polynomial or linear unmixing software, GASpeD takes into account light scatter. In cell suspensions, light scatter plays an important role as it depends on the number of cells, their size, shape, and coagulation. The measured fluorescence spectra were normalized, smoothed and deconvoluted into four peaks and background. The wavelengths of intensities’ maxima of lipopigments (LR), FAD, and free/bound NAD(P)H (AF/AB) of the deconvoluted spectra matched published data. In deconvoluted spectra at pH = 7, the fluorescence intensities of the AF/AB ratio in healthy cells was always higher in comparison to carcinoma cells. In addition, the AF/AB ratio in healthy and carcinoma cells were influenced differently by changes in pH. In mixtures of healthy and carcinoma cells, AF/AB decreases when more than 13% of carcinoma cells are present. Expensive instrumentation is not required, and the software is user friendly. Due to these attributes, we hope that this study will be a first step in the development of new cancer biosensors and treatments with the use of optical fibers.
Funder
Czech Technical University in Prague
Subject
Clinical Biochemistry,General Medicine,Analytical Chemistry,Biotechnology,Instrumentation,Biomedical Engineering,Engineering (miscellaneous)
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