Yeast metabolic state identification using micro-fiber optics spectroscopy

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Silva, JS (Autor) Outra; Castro, CC (Autor) Outra; Vicente, AA (Autor) Outra; Tafulo, P (Autor) Outra; Jorge, PAS (Autor) FCUP; Martins, RC (Autor) Outra

Ata de Conferência Internacional

Título: International Conference on Applications of Optics and Photonics

International Conference on Applications of Optics and Photonics

Braga, Portugal, 3 a 7 de Maio de 2011

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-002-X95

DOI: 10.1117/12.892262

Abstract (EN): Saccharomyces cerevisiae morphology is known to be dependent on the cell physiological state and environmental conditions. On their environment, wild yeasts tend to form complex colonies architectures, such as stress response and pseudohyphal filaments morphologies, far away from the ones found inside bioreactors, where the regular cell cycle is observed under controlled conditions (e.g. budding and flocculating colonies). In this work we explore the feasibility of using micro-fiber optics spectroscopy to classify Saccharomyces cerevisiae S288C colony structures in YPD media, under different growth conditions, such as: i) no alcohol; ii) 1 % (v/v) Ethanol; iii) 1 % (v/v) 1-butanol; iv) 1 % (v/v) Isopropanol; v) 1 % (v/v) Tert-Amyl alcohol (2 Methyl-2-butanol); vi) 0,2 % (v/v) 2-Furadehyde; vii) 5 % (w/v) 5 (Hydroxymethyl)-furfural; and viii) 1 % (w/v) (-)-Adenosine3', 5'cyclic monophosphate. The microscopy system includes a hyperspectral camera apparatus and a micro fiber (sustained by micro manipulator) optics system for spectroscopy. Results show that micro fiber optics system spectroscopy has the potential for yeasts metabolic state identification once the spectral signatures of colonies differs from each others. This technique associated with other physico-chemical information can benefit the creation of an information system capable of providing extremely detailed information about yeast metabolic state that will aid both scientists and engineers to study and develop new biotechnological products.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8