Abstract Filamentous microorganisms exhibit complex morphologies that influence product formation and are affected by various bioprocess parameters. Consistent morphology is therefore essential for comparable results during scale‐up. This study investigates the scale‐up of Streptomyces species (Streptomyces spp.) cultivations from shake flasks to ...
Gesa Brauneck +12 more
wiley +1 more source
Ultrasound-assisted fermentation of buttermilk by <i>Limosilactobacillus fermentum</i> and <i>Lacticaseibacillus rhamnosus</i>: Effects on bacterial proliferation, antioxidant potential, and enzymatic inhibition. [PDF]
Hashemi SMB, Gholamhosseinpour A.
europepmc +1 more source
The Roles of Fermentation Technologies in Mulberry Foods Processing: Application and Outlooks
Yuxiao Zou
openalex +1 more source
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin +8 more
wiley +1 more source
Effects of Co-Fermentation with <i>Lactobacillus</i> and Yeast on the Structural and Physicochemical Properties of Millet Starch. [PDF]
Guo X +12 more
europepmc +1 more source
Asking the 5 W's for designing next‐generation bioprocessing
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook +4 more
wiley +1 more source
Co-fermentation of <i>Lactiplantibacillus plantarum</i> and <i>Pediococcus acidilactici</i> induces non-thermal gel of tilapia surimi: Quantitative assessment of microbial contribution to gel improvement. [PDF]
Wang C, Chen H, Huang H, Li C.
europepmc +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
A comprehensive review on structural, chemical, and functional perspectives of dietary polysaccharide-driven gut microbiota modulation: Mechanisms and challenges. [PDF]
Subhash AJ +5 more
europepmc +1 more source

