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Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design

Exo-polygalacturonase was produced by Aspergillus niger ATCC 120120 in a solid-state fermentation using Nephrolepis biserrata leaves. Factors affecting the production of exo-polygalacturonase were determined using a two-level fractional factorial design. The screening process for six factors; pH, in...

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Main Authors: Pagarra, Halifah, A. Rahman, Roshanida, Rachmawaty, Rachmawaty, Abdul Manas, Nor Hasmaliana
Format: Article
Language:English
Published: Penerbit UTM Press 2019
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/84777/1/RoshanidaA.Rahman2019_ScreeningofFactorsInfluencingExoPolygalacturonase.pdf
http://eprints.utm.my/id/eprint/84777/
https://dx.doi.org/10.11113/jt.v81.13638
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spelling my.utm.847772020-02-27T04:59:09Z http://eprints.utm.my/id/eprint/84777/ Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design Pagarra, Halifah A. Rahman, Roshanida Rachmawaty, Rachmawaty Abdul Manas, Nor Hasmaliana TP Chemical technology Exo-polygalacturonase was produced by Aspergillus niger ATCC 120120 in a solid-state fermentation using Nephrolepis biserrata leaves. Factors affecting the production of exo-polygalacturonase were determined using a two-level fractional factorial design. The screening process for six factors; pH, incubation time, temperature, pectin concentration, inoculum size and moisture content, that influence the production of exo-polygalacturonase by A. niger was performed. The result of variance analysis (ANOVA) suggested that there were four statistically significant (P < 0.005) factors in the production of exo-polygalacturonase by A. niger. These factors were incubation time, temperature, pectin concentration and moisture content. The statistical analysis shows that the linear mathematical model is significant with coefficient of determination (R2) value of 0.9711. The optimum production of exo-polygalacturonase obtained using the model in this study was at 40.00 U/g. Penerbit UTM Press 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/84777/1/RoshanidaA.Rahman2019_ScreeningofFactorsInfluencingExoPolygalacturonase.pdf Pagarra, Halifah and A. Rahman, Roshanida and Rachmawaty, Rachmawaty and Abdul Manas, Nor Hasmaliana (2019) Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design. Jurnal Teknologi, 81 (6). pp. 73-80. ISSN 2180-3722 https://dx.doi.org/10.11113/jt.v81.13638 DOI:10.11113/jt.v81.13638
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Pagarra, Halifah
A. Rahman, Roshanida
Rachmawaty, Rachmawaty
Abdul Manas, Nor Hasmaliana
Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design
description Exo-polygalacturonase was produced by Aspergillus niger ATCC 120120 in a solid-state fermentation using Nephrolepis biserrata leaves. Factors affecting the production of exo-polygalacturonase were determined using a two-level fractional factorial design. The screening process for six factors; pH, incubation time, temperature, pectin concentration, inoculum size and moisture content, that influence the production of exo-polygalacturonase by A. niger was performed. The result of variance analysis (ANOVA) suggested that there were four statistically significant (P < 0.005) factors in the production of exo-polygalacturonase by A. niger. These factors were incubation time, temperature, pectin concentration and moisture content. The statistical analysis shows that the linear mathematical model is significant with coefficient of determination (R2) value of 0.9711. The optimum production of exo-polygalacturonase obtained using the model in this study was at 40.00 U/g.
format Article
author Pagarra, Halifah
A. Rahman, Roshanida
Rachmawaty, Rachmawaty
Abdul Manas, Nor Hasmaliana
author_facet Pagarra, Halifah
A. Rahman, Roshanida
Rachmawaty, Rachmawaty
Abdul Manas, Nor Hasmaliana
author_sort Pagarra, Halifah
title Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design
title_short Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design
title_full Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design
title_fullStr Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design
title_full_unstemmed Screening of factors influencing exo-polygalacturonase production by Aspergillus niger ATCC 120120 using two-level fractional factorial design
title_sort screening of factors influencing exo-polygalacturonase production by aspergillus niger atcc 120120 using two-level fractional factorial design
publisher Penerbit UTM Press
publishDate 2019
url http://eprints.utm.my/id/eprint/84777/1/RoshanidaA.Rahman2019_ScreeningofFactorsInfluencingExoPolygalacturonase.pdf
http://eprints.utm.my/id/eprint/84777/
https://dx.doi.org/10.11113/jt.v81.13638
_version_ 1662754305949564928
score 13.211869

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