Multiresponse analysis of microbiological parameters affecting the production of pectolytic enzymes by Aspergillus niger: a statistical view
TL;DR: In order to develop a two-stage inoculum possessing the best conditions for the maximum production of all three enzymes, a multiresponse analysis was carried out using a generalized distance approach.
About: This article is published in Process Biochemistry.The article was published on 1999-10-01. It has received 63 citations till now.
Citations
More filters
TL;DR: This short review highlights progress on purification and understanding the biochemical aspects of microbial pectinases.
305 citations
TL;DR: In this article, a predictive model of the combined effects of independent variables (pH, temperature, inoculum volume) for extracellular protease production from a newly isolated Pseudomonas sp.
172 citations
TL;DR: A two-step optimization procedure using central composite design with four factors (concentrations of maltrin and corn steep liquor, agitation speed and inoculation ratio) was used to investigate the effect of these parameters on the polygalacturonase (PG) enzyme activity, mycelia growth (biomass) and morphology (pellet size) of Aspergillus sojae ATCC 20235.
94 citations
TL;DR: A. sojae ATCC 20235 with highest polymethylgalacturonase activity and highest polygalactonase activity both exo- and endo-enzyme activity, is a promising candidate for industrial pectinase production, a group of enzymes with high commercial value, in solid-state fermentation processes.
79 citations
TL;DR: Solid-state fermentation provided 48% more polygalacturonase activity compared to submerged fermentation under individually optimized conditions.
67 citations
References
More filters
TL;DR: In this paper, an algorithm is developed for the simultaneous optimization of several response functions that depend on the same set of controllable variables and are adequately represented by polynomial regression models of the same degree.
Abstract: An algorithm is developed for the simultaneous optimization of several response functions that depend on the same set of controllable variables and are adequately represented by polynomial regression models of the same degree. The data are first checked for linear dependencies among the responses. If such dependencies exist, a basic set of responses among which no linear functional relationships exist is chosen and used in developing a function that measures the distance of the vector of estimated responses from the estimated “ideal” optimum. This distance function permits the user to account for the variances and covariances of the estimated responses and for the random error variation associated with the estimated ideal optimum. Suitable operating conditions for the simultaneous optimization of the responses are specified by minimizing the prescribed distance function over the experimental region. An extension of the optimization procedure to mixture experiments is also given and the method is illustrat...
386 citations
01 Jan 1981
TL;DR: Enzymes are currently used in fruit and vegetable juice production as mentioned in this paper to obtain partial or total liquefaction of the fruit flesh for the production of fruit pulps and nectars, and to increase juice yield and ameliorate extraction of other fruit components such as color and flavour.
Abstract: Enzymes are currently used in fruit (and vegetable) juice production
(a)
for mash treatment
(i)
to obtain a partial or total liquefaction of the fruit flesh for the production of fruit pulps and nectars,
(ii)
to increase juice yield and ameliorate extraction of other fruit components such as colour and flavour;
(b)
for juice treatment
(i)
to reduce its viscosity and enable concentration,
(ii)
for better clarification, filtration and stabilisation.
79 citations
TL;DR: Aureobasidium pullulans LV 10 produced extracellular pectolytic activity when grown in a medium containing apple pectin as a carbon source and maximum enzyme production was obtained after 4 days of batch growth.
65 citations
54 citations