Results 111 to 120 of about 52,203 (302)

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

Probabilistic Bayesian Deep Learning Approach for Online Forecasting of Fed-Batch Fermentation. [PDF]

ACS Omega, 2023
Wang T, You J, Gong X, Yang S, Wang L, Chang Z.   +5 more
europepmc   +1 more source

An adaptive, continuous substrate feeding strategy based on evolved gas to improve fed-batch ethanol fermentation

Applied Microbiology and Biotechnology
Advances in the ethanol fermentation process are essential to improving the performance of bioethanol production. Fed-batch fermentation is a promising approach to increase the final ethanol titer, which benefits the recovery in the bioethanol industry’s
Yueh-Hao Ronny Hung, Dominic Sauvageau, David C. Bressler   +2 more
doaj   +1 more source

Fed batch enzymatic saccharification of food waste improves the sugar concentration in the hydrolysates and eventually the ethanol fermentation by Saccharomyces cerevisiae H058

Brazilian Archives of Biology and Technology, 2012
The enzymatic hydrolysis of food waste by commercially available enzymes and the subsequent ethanol fermentation of the hydrolysates by Saccharomyces cerecisiae H058 were studied in this work.
Shoubao Yan, Jianming Yao, Liming Yao, Zhijun Zhi, Xiangsong Chen, Jingyong Wu   +5 more
doaj   +1 more source

The biotechnology of higher fungi - current state and perspectives [PDF]

, 2014
This review article concisely describes methodology of biotechnological processes with the use of cultures of higher fungi, their application in bioremediation and to obtain biologically active preparations.
Turło, Jadwiga
core   +2 more sources

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller, Robin Schiemer, Lars Robbel, Michael Schmitt, Jürgen Hubbuch   +4 more
wiley   +1 more source

Improved biosynthesis of heme in Bacillus subtilis through metabolic engineering assisted fed-batch fermentation. [PDF]

Microb Cell Fact, 2023
Yang S, Wang A, Li J, Shao Y, Sun F, Li S, Cao K, Liu H, Xiong P, Gao Z.   +9 more
europepmc   +1 more source

Enhanced co-generation of cellulosic ethanol and methane with the starch/sugar-rich waste mixtures and Tween 80 in fed-batch mode

Biotechnology for Biofuels, 2019
Background The mixed-feedstock fermentation is a promising approach to enhancing the co-generation of cellulosic ethanol and methane from sugarcane bagasse (SCB) and molasses.
Meishan Fan, Jun Li, Guican Bi, Guangying Ye, Hongdan Zhang, Jun Xie   +5 more
doaj   +1 more source

Safety evaluation of the food enzyme pullulanase from genetically modified Bacillus subtilis strain NZYM-AK [PDF]

, 2017
Publisher ...
Aguilera-Gómez, Margarita, Bolognesi, Claudia, Castle, Laurence, Chesson, Andrew, Cravedi, Jean-Pierre, EFSA Panel on Food Contact Materials Enzymes, Flavourings and Processing Aids (CEF), Engel, Karl-Heinz, Fowler, Paul, Franz, Roland, Glandorf, Boet, Grob, Konrad, Gürtler, Rainer, Herman, Lieve, Husøy, Trine, Jany, Klaus-Dieter, Kovalkovičová, Natália, Kärenlampi, Sirpa, Maia, Joaquim, Marcon, Francesca, Mennes, Wim, Milana, Maria Rosaria, Penninks, André, Silano, Vittorio, Smith, Andrew, Tavares Poças, Maria de Fátima, Tlustos, Christina, Wölfle, Detlef, Zorn, Holger, Zugravu, Corina-Aurelia, Želježic, Davor   +29 more
core   +3 more sources

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source