Repositorio UFRO · Omeka S

Arduino Soft Sensor for Monitoring Schizochytrium sp. Fermentation, a Proof of Concept for the Industrial Application of Genome-Scale Metabolic Models in the Context of Pharma 4.0

Primer Autor	Alarcon, Claudio
Co-autores	Shene, Carolina
Título	Arduino Soft Sensor for Monitoring Schizochytrium sp. Fermentation, a Proof of Concept for the Industrial Application of Genome-Scale Metabolic Models in the Context of Pharma 4.0
Editorial	MDPI
Revista	PROCESSES
Lenguaje	en
Resumen	Schizochytrium sp. is a microorganism cultured for producing docosahexaenoic acid (DHA). Genome-scale metabolic modeling (GEM) is a promising technique for describing genprotein-reactions in cells, but with still limited industrial application due to its complexity and high computation requirements. In this work, we simplified GEM results regarding the relationship between the specific oxygen uptake rate (-r(O2)), the specific growth rate (mu), and the rate of lipid synthesis (r(L)) using an evolutionary algorithm for developing a model that can be used by a soft sensor for fermentation monitoring. The soft sensor estimated the concentration of active biomass (X), glutamate (N), lipids (L), and DHA in a Schizochytrium sp. fermentation using the dissolved oxygen tension (DO) and the oxygen mass transfer coefficient (k(L)a) as online input variables. The soft sensor model described the biomass concentration response of four reported experiments characterized by different k(L)a values. The average range normalized root-mean-square error for X, N, L, and DHA were equal to 1.1, 1.3, 1.1, and 3.2%, respectively, suggesting an acceptable generalization capacity. The feasibility of implementing the soft sensor over a low-cost electronic board was successfully tested using an Arduino UNO, showing a novel path for applying GEM-based soft sensors in the context of Pharma 4.0.
Tipo de Recurso	artículo original
Description	This research was funded by the ANID/CONICYT PFCHA/Doctorado Nacional/201821180806 and ANID/CONICYT project: Basal Centre for Biotechnology and Bioengineering (CeBiB) FB-0001. Esta investigación fue financiada por el proyecto ANID/CONICYT PFCHA/Doctorado Nacional/201821180806 y ANID/CONICYT: Centro Basal de Biotecnología y Bioingeniería (CeBiB) FB-0001.
doi	10.3390/pr10112226
Formato Recurso	PDF
Palabras Claves	genome-scale metabolic model soft sensor Schizochytrium industry 4.0 Pharma 4.0 Arduino DOCOSAHEXAENOIC ACID PRODUCTION FED-BATCH FERMENTATION BALANCE ACCUMULATION BIOMASS GROWTH RICH
Ubicación del archivo	http://dx.doi.org/10.3390/pr10112226
Categoría OCDE	Ingeniería Química
Materias	modelo metabólico a escala genómica sensor blando Schizochytrium industria 4.0 Pharma 4.0 Arduino PRODUCCIÓN DE ÁCIDO DOCOSAHEXAENOICO FERMENTACIÓN FED-BATCH EQUILIBRIO ACUMULACIÓN BIOMASA CRECIMIENTO RICO
Disciplinas de la OCDE	Biotecnología Industrial Biotecnología Relacionada con la Salud Ingeniería de Sistemas y Comunicaciones
Título de la cita (Recomendado-único)	Arduino Soft Sensor for Monitoring Schizochytrium sp. Fermentation, a Proof of Concept for the Industrial Application of Genome-Scale Metabolic Models in the Context of Pharma 4.0
Identificador del recurso (Mandatado-único)	artículo original
Versión del recurso (Recomendado-único)	version publicada
License	CC BY 4.0
Condición de la licencia (Recomendado-repetible)	CC BY 4.0
Derechos de acceso	acceso abierto
Access Rights	acceso abierto
Referencia del Financiador (Mandatado si es aplicable-repetible)	ANID-BASAL FB-0001 ANID BASAL FB-0001
Id de Web of Science	WOS:000881552300001