@inproceedings{7936b38f54ae477cbd0efabf591a58a1,
title = "Estimating the trehalose cytoplasmic content during a baker's yeast production process",
abstract = "Trehalose is commonly used as an indicator of a good yeast fermentation capacity and viability. An attempt of estimating trehalose concentration in yeast cells through two different mathematical approaches is presented. It combines a biomass and trehalose concentrations estimator developed with a differential neural network technique, and a structured model applied for explaining the main metabolic events that induce trehalose accumulation. Our results allow us to think that the coupling of both methods can provide suitable information aimed at reaching a high trehalose content in an actual yeast production process.",
keywords = "Differential neural network, Soft-biosensor, Structured model, Trehalose estimation, Yeast biomass",
author = "Cabrera, {A. I.} and Aranda, {J. S.} and Chairez, {J. I.}",
note = "Publisher Copyright: Copyright {\textcopyright} 2007 IFAC.; 10th IFAC Symposium on Computer Applications in Biotechnology, 2007 ; Conference date: 04-06-2007 Through 06-06-2007",
year = "2007",
doi = "10.3182/20070604-3-mx-2914.00034",
language = "Ingl{\'e}s",
isbn = "9783902661616",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "4",
pages = "195--200",
editor = "Michel Perrier and Moreno, {Jaime A.}",
booktitle = "10th IFAC Symposium on Computer Applications in Biotechnology 2007",
address = "Austria",
edition = "4",
}