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4D Microscopy of Yeast
Published on: April 28, 2019
Spectral characterization of yeast cells with an epitaxy-based UV-Vis optical sensor
1Faculty of Physics, University of Bucharest, Bucharest, Romania. mbercu@Olimp.fiz.infim.ro
Biomedical Microdevices
|May 12, 2006
Summary
This study developed a UV-vis sensor for analyzing yeast cell concentration in phosphate-buffered saline (PBS). The sensor detects absorption peaks, enabling rapid, quantitative measurements for applications like food safety.
Area of Science:
- Biophotonics
- Spectroscopy
- Biosensing
Background:
- Yeast cell concentration monitoring is crucial for food safety and industrial processes.
- Existing methods for yeast quantification can be time-consuming or lack sensitivity.
- Optical methods offer potential for rapid and non-invasive analysis.
Purpose of the Study:
- To investigate the optical absorption spectra of yeast cells in phosphate-buffered saline (PBS) using a novel UV-vis sensor.
- To correlate spectral features, specifically absorption peaks, with varying yeast cell concentrations.
- To assess the feasibility of using optical spectral analysis for quantitative yeast cell measurements.
Main Methods:
- Utilized a UV-vis sensor based on a p(+)n junction silicon device for optical analysis.
- Measured absorption spectra of yeast cells in PBS across the 250-500 nm wavelength range.
- Varied yeast cell concentrations from 6 x 10^6 to 2 x 10^8 cells/ml.
Main Results:
- Identified key absorption peaks at 310, 350, 400, and 427 nm.
- Observed a significant, non-linear red shift in the 427 nm absorption band with increasing yeast concentration.
- Noted saturation in the red shift behavior at concentrations above 5 x 10^7 cells/ml.
- Found non-linear variations in the half-peak bandwidth of the 427 nm peak.
Conclusions:
- Monitoring the 427 nm absorption band parameters provides a reliable method for quantifying yeast cell concentrations.
- The developed optical sensor demonstrates high sensitivity due to the n/n(+) interface.
- This approach could be integrated into spectrometric microsystems for fast, quantitative analysis in bio-samples, particularly for the food industry.
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