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Excitation-Emission Matrix Fluorescence Spectroscopy Coupled with PARAFAC Modeling for Viability Prediction of Cells
Klaudia Głowacz1, Sandra Skorupska1, Ilona Grabowska-Jadach1
1Chair of Medical Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland.
This study introduces a novel, non-invasive cell viability assay using fluorescence spectroscopy and PARAFAC analysis. This method offers a faster, more sensitive alternative to traditional assays like MTT for real-time cell monitoring.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Cell Biology
Background:
- Cell viability assays are crucial for drug discovery and bioanalysis.
- Traditional methods like MTT, XTT, and LDH assays have limitations including time consumption, labor intensity, and lack of real-time monitoring.
- Existing assays often fail to provide continuous, non-destructive observation of cellular changes.
Purpose of the Study:
- To develop and validate a novel, non-invasive cell viability testing method.
- To offer a faster, more sensitive, and cost-effective alternative to current gold-standard assays.
- To enable real-time, continuous, and non-destructive monitoring of cell viability.
Main Methods:
- Utilized native excitation-emission matrix fluorescence spectroscopy.
- Applied parallel factor analysis (PARAFAC) for data analysis.
- Validated the method on A375 and HaCaT cells treated with oxaliplatin.
Main Results:
- The proposed fluorescence spectroscopy and PARAFAC method demonstrated high accuracy and sensitivity, outperforming the MTT assay.
- The approach allows for non-invasive, non-destructive, and real-time monitoring of cell viability.
- PARAFAC analysis enabled the study of mechanisms behind cell viability changes by tracking fluorophore variations.
Conclusions:
- Native excitation-emission matrix fluorescence spectroscopy coupled with PARAFAC is a powerful tool for cell viability assessment.
- This method provides a reliable and sensitive alternative for real-time cell monitoring in drug discovery and research.
- The technique facilitates a deeper understanding of cellular responses to treatments.
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