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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2019
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.84777 |
---|---|
record_format |
eprints |
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 |
13.209306 |