Evaluation of oxygen mass transfer in Aspergillus niger fermentation using data reconciliation.

Biotechnol Prog

Department of Chemical Engineering, University of Ottawa, Ottawa (ON) K1N 6N5, Canada.

Published: October 2004

Fermentation experiments using Aspergillus niger result in a very viscous broth due to the growth of filamentous microorganism. For viscous fermentation processes, it is difficult to estimate with confidence the volumetric oxygen mass transfer coefficient (K(L)a), which can be used for scale-up or design of bioreactors. In the present study, four methods based on dynamic and stationary approaches were used to measure K(L)a throughout the fermentation. Data reconciliation was used to obtain a more reliable and consistent K(L)a. The K(L)a value obtained by a data reconciliation technique was found to be more reliable since it takes into consideration both the reliability of all measured variables and the accuracy of all mass balance equations.

Download full-text PDF

Source
http://dx.doi.org/10.1021/bp0341545DOI Listing

Publication Analysis

Top Keywords

data reconciliation
12
oxygen mass
8
mass transfer
8
aspergillus niger
8
fermentation data
8
evaluation oxygen
4
transfer aspergillus
4
fermentation
4
niger fermentation
4
reconciliation fermentation
4

Similar Publications

The MaschinenBauIndustrie Knowledge Graph (MBI-KG) is a structured and semantically enriched dataset extracted from the 1937 publication "Die Maschinen-Industrie im Deutschen Reich" (The Machinery Industry in the German Reich), published by the "Wirtschaftsgruppe Maschinenbau" and edited by Herbert Patschan. This historical source offers data on German companies within the mechanical engineering industry during the pre-World War II era. The book was digitized, and Optical Character Recognition (OCR) was applied to extract text.

View Article and Find Full Text PDF

Background: Reporting serious adverse events (SAEs) is crucial to reduce or avoid toxicities that can lead to major consequences for patient's health due to treatments tested in clinical trials. Its exhaustiveness is often inadequate, and we observe discrepancies between data published by pharmacovigilance organizations and clinical databases.

Objectives: While the process of reconciliation aims at reducing these differences, it remains a very time-consuming and imprecise task.

View Article and Find Full Text PDF

Background: Functional somatic syndromes are common in primary care and represent a challenge for general practitioners (GPs), with a risk of deterioration in the doctor-patient relationship, and of compassion fatigue on the part of the physician. Little is known about how to teach better management of these symptoms.

Methods: The aim of our scientific team was to develop a training session about functional somatic syndromes for GPs, with the objective to improve the therapeutic attitude of the participants.

View Article and Find Full Text PDF

Objective: To know job satisfaction, work-family balance, sleep quality, and burnout in nursing staff after the introduction of the 12-h rotating shift in the emergency department of a tertiary hospital.

Method: Cross-sectional observational design carried out in February 2023 for the first collection (T1) and October 2023 for the second collection (T2) in emergency nursing staff. Sociodemographic data, work and family reconciliation, job satisfaction, degree of burnout, and sleep quality were collected.

View Article and Find Full Text PDF

Introduction: Medication errors occur at any point of the medication management process and are a major cause of death and harm globally. The perioperative environment introduces challenges in identifying medication errors due to the frequent use of time-sensitive, high-alert medications in a dynamic and intricate setting. Pharmacists could potentially reduce the occurrence of these errors because of their training and expertise.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!