Industrial applications of pectic enzymes: a review

Alkorta, Itziar; Garbisu, Carlos; Llama, Marı́a J.; Serra, Juan L.

doi:10.1016/s0032-9592(97)00046-0

Cited by 353 publications

(220 citation statements)

References 36 publications

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“…These enzymes include polygalacturonase (EC 3.2.1.15), pectin esterase (EC 3.1.1.11), pectin lyase (EC 4.2.2.10) and pectate lyase (EC 4.2.2.2), classified on the basis of their mode of action (ALKORTA et al, 1998;HOONDAL et al, 2002;KAPOOR;KUHAD, 2002).…”

Section: Introductionmentioning

confidence: 99%

Production and partial characterization of alkaline polygalacturonase secreted by thermophilic Bacillus sp. SMIA-2 under submerged culture using pectin and corn steep liquor

Andrade¹,

Delatorre²,

Ladeira³

et al. 2011

Ciênc. Tecnol. Aliment.

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Section: Introductionmentioning

confidence: 99%

Production and partial characterization of alkaline polygalacturonase secreted by thermophilic Bacillus sp. SMIA-2 under submerged culture using pectin and corn steep liquor

Andrade¹,

Delatorre²,

Ladeira³

et al. 2011

Ciênc. Tecnol. Aliment.

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“…Fungi are known to be a good source of PG enzyme. A number of Aspergillus, Rhizopus and Penicillum species are used for the large-scale production of PG enzymes [28,29]. Another potential candidate for PG enzyme production is Aspergillus sojae, which is known as the organism used in the production of koji, a characteristic Japanese food product.…”

Section: Introductionmentioning

confidence: 99%

Modeling of polygalacturonase enzyme activity and biomass production by Aspergillus sojae ATCC 20235

Tokatlı

Tarı

Ünlütürk

et al. 2009

J Ind Microbiol Biotechnol

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Aspergillus sojae, which is used in the making of koji, a characteristic Japanese food, is a potential candidate for the production of polygalacturonase (PG) enzyme, which of a major industrial significance. In this study, fermentation data of an A. sojae system were modeled by multiple linear regression (MLR) and artificial neural network (ANN) approaches to estimate PG activity and biomass. Nutrient concentrations, agitation speed, inoculum ratio and final pH of the fermentation medium were used as the inputs of the system. In addition to nutrient conditions, the final pH of the fermentation medium was also shown to be an effective parameter in the estimation of biomass concentration. The ANN parameters, such as number of hidden neurons, epochs and learning rate, were determined using a statistical approach. In the determination of network architecture, a cross-validation technique was used to test the ANN models. Goodness-offit of the regression and ANN models was measured by the R 2 of cross-validated data and squared error of prediction. The PG activity and biomass were modeled with a 5-2-1 and 5-9-1 network topology, respectively. The models predicted enzyme activity with an R 2 of 0.84 and biomass with an R 2 value of 0.83, whereas the regression models predicted enzyme activity with an R 2 of 0.84 and biomass with an R 2 of 0.69.

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“…4.2.2.2) and de-methoxylating enzymes such as pectinesterase (pectin pectylhydrolase, E. C. 3.1.1.11) which de-esterify pectin from pectic acid by removing methoxyl residues. Pectinases play an important role in the food industry, being used in the extraction and clarification of fruit juices and wines as well as the maceration of vegetables and fruits to facilitate the extraction of essential oils and the production of baby foods (Rombouts and Pilnik, 1980;Alkorta et al, 1998). Another important application for pectinases is the textile industry, especially in the treatment of natural fibers such as linen and ramie (Baracat et al, 1991).…”

Section: Introductionmentioning

confidence: 99%

“…Other filamentous fungi which produce pectinases -Aspergillus oryzae (Maiorano, 1990;Dartora et al, 2002), Penicillium italicum and Penicillium expansum (Alkorta et al, 1998) -have been also studied. In previous works (Maiorano, 1990;Malvessi, 2000), A. oryzae CCT3940 showed higher endo-polygalacturonase activities when compared to different strains of A. niger .…”

Section: Introductionmentioning

confidence: 99%

Influence of medium composition and pH on the production of polygalacturonases by Aspergillus oryzae

Malvessi

Silveira

2004

Braz. arch. biol. technol.

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Industrial applications of pectic enzymes: a review

Cited by 353 publications

References 36 publications

Production and partial characterization of alkaline polygalacturonase secreted by thermophilic Bacillus sp. SMIA-2 under submerged culture using pectin and corn steep liquor

Production and partial characterization of alkaline polygalacturonase secreted by thermophilic Bacillus sp. SMIA-2 under submerged culture using pectin and corn steep liquor

Modeling of polygalacturonase enzyme activity and biomass production by Aspergillus sojae ATCC 20235

Influence of medium composition and pH on the production of polygalacturonases by Aspergillus oryzae

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