Exact(4)
The scaffolds are synthesized using polygalacturonic acid and chitosan using the freeze drying methodology.
This drying methodology was applied to contaminated cuttings and studied through a Central Composite Design of Experiments, where the variables were drilling fluid concentration, mass of cuttings and specific energy.
The fabricated macroporous (SGC) scaffold had a greater pore size, higher porosity, higher water retention capacity, slow and sustained enzymatic degradation rate along with higher compressive strength compared to that of non-macroporous (NGC, prepared by conventional freeze drying methodology) scaffold.
However, this drying methodology has been successfully utilized by Van Duyne and co-workers.
Similar(56)
Early on, an iterative wet-dry methodology was formulated which turned out to be a successful approach in deciphering biological Complexity.
Unfortunately, few natural allelic variants have been cloned for drought related traits — progress cloning QTL, the use of RNA-sequencing methods for evaluating gene expression responses to soil drying, and improved methodology for exploring complex multivariate data all hold promise for moving the field forward.
Sanchez et al. had come up with spray-drying methodology to dissemble a HKUST-1 MOF encrust into nano-MOF crystals [23].
The processing variables considered in this study included microstructure orientation (uni- and multidirectional fiber/pore controlled by freeze-drying methodology), cross-linking (chemical - using genipin and glutaraldehyde, and physical - using a dehydrothermal method), and collagen concentration (2, 5 and 8 mg/ml).
The purpose of this study is to examine some fundamental principles of particle formation during spray drying and establish a rational methodology to control the particle properties such as size and morphology.
To establish the optimum conditions in terms of compression force, charcoal dust/sugarcane molasses ratio and drying temperature, Box Behnken Design (BBD) methodology for experiment was used.
Back-propagation artificial neural network and response surface methodology were used to investigate estimation capabilities of these two methodology and optimization acceptability of desirability functions methodology in an air drying process.
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