YEAST METABOLIC STATE IDENTIFICATION BY FIBER OPTICS SPECTROSCOPY

C. C. Castro, J. S. Silva, V. V. Lopes, R. C. Martins

Abstract

In this manuscript we explore the feasibility of using LWUV-VIS-SWNIR (340 - 1100 nm) spectroscopy to classify Saccharomyces cerevisiae colony structures in YP agar and YPD agar, under different growth conditions, such as: i) no alcohol; ii) 1 % (v/v) Ethanol; iii) 1 % (v/v) 1-Propanol; iv) 1 % (v/v) 1- butanol; v) 1 % (v/v) Isopropanol; vi) 1 % (v/v) (±)-1-Phenylethanol; vii) 1 % (v/v) Isoamyl alcohol; viii) 1 % (v/v) tert-Amyl alcohol (2-Methyl-2-butanol); and ix) 1 % (v/v) Amyl alcohol. Results show that LWUV-VISSWNIR spectroscopy has the potential for yeasts metabolic state identification once the spectral signatures of colonies differs from each others, being possible to acheive 100% of classification in UV-VIS and VISSWNIR. The UV-VIS region present high discriminant information (350-450 nm), and different responses to UV excitation were obtained. Therefore, high precision is obtained because UV-VIS and VIS-NIR exhibit different kinds of information. In the future, high precision analytical chemistry techniques such as mass spectroscopy and molecular biology transcriptomic studies should be performed in order to understand the detailed cell metabolism and genomic phenomena that characterize the yeast colony state.

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Paper Citation


in Harvard Style

C. Castro C., S. Silva J., V. Lopes V. and C. Martins R. (2009). YEAST METABOLIC STATE IDENTIFICATION BY FIBER OPTICS SPECTROSCOPY . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 169-178. DOI: 10.5220/0001551201690178


in Bibtex Style

@conference{biosignals09,
author={C. C. Castro and J. S. Silva and V. V. Lopes and R. C. Martins},
title={YEAST METABOLIC STATE IDENTIFICATION BY FIBER OPTICS SPECTROSCOPY},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={169-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001551201690178},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - YEAST METABOLIC STATE IDENTIFICATION BY FIBER OPTICS SPECTROSCOPY
SN - 978-989-8111-65-4
AU - C. Castro C.
AU - S. Silva J.
AU - V. Lopes V.
AU - C. Martins R.
PY - 2009
SP - 169
EP - 178
DO - 10.5220/0001551201690178