Design of experiment (DoE) in reducing sugar optimization to produce third-generation bioethanol from Chlorella pyrenoidosa: Central composite design vs Box-Behnken design

Aditiya, HB; Sebayang, AH; Silitonga, AS; Mulyaningsih, Y; Mulyaningsih, Y; Theofany, HC; Supriyanto,

Design of experiment (DoE) in reducing sugar optimization to produce third-generation bioethanol from Chlorella pyrenoidosa: Central composite design vs Box-Behnken design

Aditiya, HB Sebayang, AH Silitonga, AS Mulyaningsih, Y Mulyaningsih, Y Theofany, HC Supriyanto,

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Publisher:: AIP Publishing
Publication Type:: Conference Proceeding
Citation:: AIP Conference Proceedings, 2023, 2646, (1), pp. 050082
Issue Date:: 2023-04-27

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Field	Value	Language
dc.contributor.author	Aditiya, HB
dc.contributor.author	Sebayang, AH
dc.contributor.author	Silitonga, AS
dc.contributor.author	Mulyaningsih, Y
dc.contributor.author	Mulyaningsih, Y
dc.contributor.author	Theofany, HC
dc.contributor.author	Supriyanto,
dc.date.accessioned	2024-05-13T02:51:50Z
dc.date.available	2024-05-13T02:51:50Z
dc.date.issued	2023-04-27
dc.identifier.citation	AIP Conference Proceedings, 2023, 2646, (1), pp. 050082
dc.identifier.isbn	9780735444263
dc.identifier.issn	0094-243X
dc.identifier.issn	1551-7616
dc.identifier.uri	http://hdl.handle.net/10453/178887
dc.description.abstract	With the growing research in bioethanol production focusing on green algae, studying the parameters during the hydrolysis that will influence the quality of the end product is important. In this case, the design of experiment (DoE) serves as a critical start especially in terms of considering the overall cost. This study compares the design DoE based on Central Composite Design (CCD) and Box-Behnken Design (BBD) in the hydrolysis stage in producing reducing sugar from Chlorella pyrenoidosa. With four employed parameters (i.e., feedstock loading, NaOH concentration, hydrolysis temperature, and hydrolysis time), using response surface methodology (RSM), 30 experimental runs were generated from CCD and 29 from BBD. As the employed factors between the two DoEs were examined, BBD was more preferable in meeting lower cost constrained.
dc.language	en
dc.publisher	AIP Publishing
dc.relation.ispartof	AIP Conference Proceedings
dc.relation.ispartof	PROCEEDINGS OF THE SYMPOSIUM ON ADVANCE OF SUSTAINABLE ENGINEERING 2021 (SIMASE 2021): Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research
dc.relation.isbasedon	10.1063/5.0139548
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Design of experiment (DoE) in reducing sugar optimization to produce third-generation bioethanol from Chlorella pyrenoidosa: Central composite design vs Box-Behnken design
dc.type	Conference Proceeding
utslib.citation.volume	2646
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-13T02:51:49Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	2646
utslib.citation.issue	1

Abstract:

With the growing research in bioethanol production focusing on green algae, studying the parameters during the hydrolysis that will influence the quality of the end product is important. In this case, the design of experiment (DoE) serves as a critical start especially in terms of considering the overall cost. This study compares the design DoE based on Central Composite Design (CCD) and Box-Behnken Design (BBD) in the hydrolysis stage in producing reducing sugar from Chlorella pyrenoidosa. With four employed parameters (i.e., feedstock loading, NaOH concentration, hydrolysis temperature, and hydrolysis time), using response surface methodology (RSM), 30 experimental runs were generated from CCD and 29 from BBD. As the employed factors between the two DoEs were examined, BBD was more preferable in meeting lower cost constrained.

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http://hdl.handle.net/10453/178887