A model for lipase production by Candida rugosa

Serra, P.; Río, José Luis del; Robusté, Jordi; Poch, M.; Solá, Carles Miralles; Chéruy, A.

doi:10.1007/bf01254230

Cited by 14 publications

(7 citation statements)

References 12 publications

(9 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As lipase conversion of olive oil was higher than conversion of linseed oil, it seems likely that A. melanogenum produces more lipase when grown on linseed oil instead of olive oil. This is in accordance with the literature that shows that lipase production by fungi is dependent on the carbon source in the medium (Lakschmi et al., ; Serra et al., ; Sun & Xu, ; Treichel et al, ). However, lipase produced by A. melanogenum can have a different activity than lipase from C. rugosa .…”

Section: Discussionsupporting

confidence: 93%

“…Little is known about growth of A. melanogenum on vegetable oils as a single carbon source. Some other fungi, for instance, C. rugosa (Lakschmi et al, 1999;Serra et al, 1992) and several aspergilli (Reese et al, 1955) are known to be able to grow on linseed and olive oils. It is likely that A. melanogenum is able to use oil as nutrition, since it is known to produce lipase (Chi et al, 2009;Leathers et al, 2013;Leelaruji et al, 2013;Liu et al, 2008;Wang et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Oil type and cross‐linking influence growth of Aureobasidium melanogenum on vegetable oils as a single carbon source

et al. 2018

View full text Add to dashboard Cite

Aureobasidium melanogenum is the main fungus found in a spontaneously formed biofilm on a oil-treated wood. This dark colored biofilm functions as a protective coating. To better understand biofilm formation, in this study A. melanogenum was cultured on olive oil and raw linseed oil. Metabolic activity and oil conversion were measured. The results show that A. melanogenum is able to grow on linseed oil and olive oil as a single carbon source. The fungus produces the enzyme lipase to convert the oil into fatty acids and glycerol. Metabolic activity and oil conversion were equal on linseed oil and olive oil. The fungus was not able to grow on severe cross-linked linseed oil, meaning that the degree of cross-linking of the oil is important for growth of A. melanogenum. Dark coloring of the colony was seen on linseed oil, which might be a stress response on the presence of autoxidation products in linseed oil. The colony on olive oil showed delayed melanin production indicating an inhibitory effect of olive oil on melanin production.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Oil type and cross‐linking influence growth of Aureobasidium melanogenum on vegetable oils as a single carbon source

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Serra et al . (1992) proposed a mathematical model for the production of lipase from C. rugosa for oil hydrolysis, biomass growth and lipase production with glycerol and fatty acids as substrates.…”

Section: Resultsmentioning

confidence: 99%

“…Productivity was defined as lipolytic activity units per gram of dry biomass. Serra et al (1992) proposed a mathematical model for the production of lipase from C. rugosa for oil hydrolysis, biomass growth and lipase production with glycerol and fatty acids as substrates. The results indicated that free fatty acids were better substrates than olive oil.…”

Section: Productivitymentioning

confidence: 99%

Effect of vegetable oils in the secretion of lipase from Candida rugosa (DSM 2031)

Lakshmi

Kangueane

Abraham

et al. 1999

Letters in Applied Microbiology

View full text Add to dashboard Cite

The ability of Candida rugosa (DSM 2031) to produce lipase using vegetable oils as carbon source was investigated. The organism grew on glucose, but the amount of lipase secreted was significantly less compared to that in vegetable oils. This study identified a simple substrate for lipase production and established the utility of sesame oil for increasing the lipase yield. These vegetable oils can be considered as economically viable substrates for lipase production at an industrial scale. The amount of lipase secreted correlated well with the relative percentage of C18: n fatty acid esters present in the respective oils.

show abstract

“…Example: Let us consider the example of a competitive growth on two substrates [12] which could represent, for instance, the production of lipase from olive oil by Candida rugosa. Here the microorganism is supposed to grow on two substrates that are produced by the hydrolysis of a primary complex organic substrate.…”

Section: Introductionmentioning

confidence: 99%

Identification of reaction networks for bioprocesses: determination of a partially unknown pseudo-stoichiometric matrix

Bernard

Bastin

2005

Bioprocess Biosyst Eng

View full text Add to dashboard Cite

In this paper we propose a methodology to determine the structure of the pseudo-stoichiometric coefficient matrix K in a mass balance based model and to identify its coefficients from a set of available data. The first stage consists in estimating the number of reactions that must be taken into account to represent the main mass transfer within the bioreactor. This provides the dimension of K. Then we propose a method to directly determine the structure of the matrix (i.e. mainly its zeros and the signs of its coefficients). These methods are illustrated with simulations of a process of lipase production from olive oil by Candida rugosa.

show abstract

A model for lipase production by Candida rugosa

Abstract: A model adequately describing the lipase production by

Cited by 14 publications

References 12 publications

Oil type and cross‐linking influence growth of Aureobasidium melanogenum on vegetable oils as a single carbon source

Oil type and cross‐linking influence growth of Aureobasidium melanogenum on vegetable oils as a single carbon source

Effect of vegetable oils in the secretion of lipase from Candida rugosa (DSM 2031)

Identification of reaction networks for bioprocesses: determination of a partially unknown pseudo-stoichiometric matrix

Contact Info

Product

Resources

About