Results 101 to 110 of about 2,050 (293)

Extractive Fermentation

open access: yes, 2013
[[sponsorship]]生物醫學科學研究所[[note]]已出版;沒有審查制度 ...
Roffler, S. R.;Randolph, T. W.;Miller, D. A.;Blanch, H. W.;Prausnitz, J. M.
core  

A 3D‐Printed Blister Test Platform for Quantifying Biointerface Adhesion Mechanisms

open access: yesAdvanced Materials Interfaces, EarlyView.
A 3D‐printed blister platform enables energy‐resolved characterization of soft hydrogel–rigid interfaces. Integrating precision pressure control with hyperelastic modeling directly quantifies adhesion energy (G) and R‐curve toughening. Results reveal that modulating hydrogel concentration and surface roughness drives a tunable transition from cohesive ...
Yoontae Kim   +4 more
wiley   +1 more source

Solid‐State Nanopore Characterization of Dendrimer‐Peptide Conjugates Across Defined Peptide Loadings

open access: yesAdvanced Materials Interfaces, EarlyView.
Solid‐state nanopores are used to interrogate dendrimer‐peptide conjugates with systematically varied peptide loading. Single‐particle ionic current signatures reveal how ligand density modulates deformability, transport pathways, and electromechanical coupling during translocation.
Chaoming Gu   +7 more
wiley   +1 more source

Integrated processing for the separation of biobutanol. Part B: model-based process analysis

open access: yesGreen Processing and Synthesis, 2013
The biochemical production of n-butanol by fermentation is an interesting option for the sustainable production of a chemical that can be used as a fuel additive or solvent.
Heitmann Sebastian   +2 more
doaj   +1 more source

Dynamic modelling, simulation and optimization of an extractive continuous alcoholic fermentation process

open access: yes, 2015
The conventional alcoholic fermentation is a typical inhibitory process, leading to low productivity and yield. The ethanol produced inhibits yeast cells, causing a reduction in the alcohol production rate and cell growth rate.
da Silva, FLH, Rodrigues, MI, Maugeri, F
core   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Biosynthesis of 2-phenylethanol by yeasts  Kluyveromyces spp. in two-phase extractive fermentation

open access: yes, 2020
Darba mērķis bija izpētīt iespēju veikt laboratorijas mēroga biotehnoloģisku 2-feniletanola (2-PE) producēšanu ar raugiem Kluyveromyces spp. divfāzu ekstraktīvā fermentācijā, izmantojot laktozi saturošas barotnes, tai skaitā pārtikas industrijas ...
Aksjonova, Lidija
core  

Supplementary data for "An integrated biohydrogen refinery: Synergy of photofermentation, extractive fermentation and hydrothermal hydrolysis of food wastes"

open access: yes, 2012
Supplementary data for published article: "An integrated biohydrogen refinery: Synergy of photofermentation, extractive fermentation and hydrothermal hydrolysis of food wastes" In: Bioresource Technology. 119, p.
Majewski, Artur Jacek   +5 more
core   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

open access: yesAdvanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Non-linear predictive control of an extractive alcoholic fermentation process

open access: yes, 2015
In this work a SISO non-linear predictive controller was developed for an extractive alcoholic fermentation process. The internal model of the controller was represented by a functional link network (FLN).
Maciel, R, Meleiro, LAC, Costa, AC
core   +1 more source

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