Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass

Anwar Asifa; McKay Gordon; Mackey Hamish

doi:10.21741/9781644902516-48

Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass

Anwar Asifa, McKay Gordon, Mackey Hamish^*

^*Corresponding author for this work

CSE Sustainable Development

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Thin-layer drying studies have been done for various materials, including vegetables, fruit, grains, wood, plants, biomass, and others. The present study is concerned with the investigation of the drying kinetics of harvested photosynthetic non-sulfur bacteria (PNSB) biomass. Four different drying models, i.e., Logarithmic, Newton, Page, and Henderson and Pabis were fitted to the experimental data obtained from drying a thin-layer of biomass in a laboratory oven at 60, 80, 100, and 120 ℃. The results were assessed on statistical parameters such as the Akaike information criterion, and residual standard error. The results showed that Logarithmic model fitted the overall best for all the states of the thin layer at 60 ℃ and 80 ℃, while Page model gave the best fit for 100 ℃ and 120 ℃. The current research is aimed to study the drying behavior of the biomass and to aid in optimizing the drying procedure of the biomass.

Original language	English
Title of host publication	Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022
Editors	Yeong Yin Fong, Lam Man Kee, Norwahyu Jusoh, Chong Yang Chuah
Publisher	Association of American Publishers
Pages	425-429
Number of pages	5
ISBN (Print)	9781644902509
DOIs	https://doi.org/10.21741/9781644902516-48
Publication status	Published - 2023
Event	International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022 - Kuching, Malaysia Duration: 1 Dec 2022 → 2 Dec 2022

Publication series

Name	Materials Research Proceedings
Volume	29
ISSN (Print)	2474-3941
ISSN (Electronic)	2474-395X

Conference

Conference	International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022
Country/Territory	Malaysia
City	Kuching
Period	1/12/22 → 2/12/22

Keywords

Biomass
Drying Kinetics
Modeling
Phototrophic Purple Bacteria
Thin- Layer Drying

Access to Document

10.21741/9781644902516-48

Cite this

Asifa, A., Gordon, M., & Hamish, M. (2023). Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass. In Y. Yin Fong, L. Man Kee, N. Jusoh, & C. Y. Chuah (Eds.), Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022 (pp. 425-429). (Materials Research Proceedings; Vol. 29). Association of American Publishers. https://doi.org/10.21741/9781644902516-48

Asifa, Anwar ; Gordon, McKay ; Hamish, Mackey. / Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass. Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022. editor / Yeong Yin Fong ; Lam Man Kee ; Norwahyu Jusoh ; Chong Yang Chuah. Association of American Publishers, 2023. pp. 425-429 (Materials Research Proceedings).

@inproceedings{637534ad0df441b89d5376013eeda104,

title = "Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass",

abstract = "Thin-layer drying studies have been done for various materials, including vegetables, fruit, grains, wood, plants, biomass, and others. The present study is concerned with the investigation of the drying kinetics of harvested photosynthetic non-sulfur bacteria (PNSB) biomass. Four different drying models, i.e., Logarithmic, Newton, Page, and Henderson and Pabis were fitted to the experimental data obtained from drying a thin-layer of biomass in a laboratory oven at 60, 80, 100, and 120 ℃. The results were assessed on statistical parameters such as the Akaike information criterion, and residual standard error. The results showed that Logarithmic model fitted the overall best for all the states of the thin layer at 60 ℃ and 80 ℃, while Page model gave the best fit for 100 ℃ and 120 ℃. The current research is aimed to study the drying behavior of the biomass and to aid in optimizing the drying procedure of the biomass.",

keywords = "Biomass, Drying Kinetics, Modeling, Phototrophic Purple Bacteria, Thin- Layer Drying",

author = "Anwar Asifa and McKay Gordon and Mackey Hamish",

note = "Publisher Copyright: {\textcopyright} 2023, Association of American Publishers. All rights reserved.; International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022 ; Conference date: 01-12-2022 Through 02-12-2022",

year = "2023",

doi = "10.21741/9781644902516-48",

language = "English",

isbn = "9781644902509",

series = "Materials Research Proceedings",

publisher = "Association of American Publishers",

pages = "425--429",

editor = "{Yin Fong}, Yeong and {Man Kee}, Lam and Norwahyu Jusoh and Chuah, {Chong Yang}",

booktitle = "Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022",

address = "United States",

}

Asifa, A, Gordon, M & Hamish, M 2023, Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass. in Y Yin Fong, L Man Kee, N Jusoh & CY Chuah (eds), Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022. Materials Research Proceedings, vol. 29, Association of American Publishers, pp. 425-429, International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022, Kuching, Malaysia, 1/12/22. https://doi.org/10.21741/9781644902516-48

Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass. / Asifa, Anwar; Gordon, McKay; Hamish, Mackey.
Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022. ed. / Yeong Yin Fong; Lam Man Kee; Norwahyu Jusoh; Chong Yang Chuah. Association of American Publishers, 2023. p. 425-429 (Materials Research Proceedings; Vol. 29).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass

AU - Asifa, Anwar

AU - Gordon, McKay

AU - Hamish, Mackey

PY - 2023

Y1 - 2023

N2 - Thin-layer drying studies have been done for various materials, including vegetables, fruit, grains, wood, plants, biomass, and others. The present study is concerned with the investigation of the drying kinetics of harvested photosynthetic non-sulfur bacteria (PNSB) biomass. Four different drying models, i.e., Logarithmic, Newton, Page, and Henderson and Pabis were fitted to the experimental data obtained from drying a thin-layer of biomass in a laboratory oven at 60, 80, 100, and 120 ℃. The results were assessed on statistical parameters such as the Akaike information criterion, and residual standard error. The results showed that Logarithmic model fitted the overall best for all the states of the thin layer at 60 ℃ and 80 ℃, while Page model gave the best fit for 100 ℃ and 120 ℃. The current research is aimed to study the drying behavior of the biomass and to aid in optimizing the drying procedure of the biomass.

AB - Thin-layer drying studies have been done for various materials, including vegetables, fruit, grains, wood, plants, biomass, and others. The present study is concerned with the investigation of the drying kinetics of harvested photosynthetic non-sulfur bacteria (PNSB) biomass. Four different drying models, i.e., Logarithmic, Newton, Page, and Henderson and Pabis were fitted to the experimental data obtained from drying a thin-layer of biomass in a laboratory oven at 60, 80, 100, and 120 ℃. The results were assessed on statistical parameters such as the Akaike information criterion, and residual standard error. The results showed that Logarithmic model fitted the overall best for all the states of the thin layer at 60 ℃ and 80 ℃, while Page model gave the best fit for 100 ℃ and 120 ℃. The current research is aimed to study the drying behavior of the biomass and to aid in optimizing the drying procedure of the biomass.

KW - Biomass

KW - Drying Kinetics

KW - Modeling

KW - Phototrophic Purple Bacteria

KW - Thin- Layer Drying

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DO - 10.21741/9781644902516-48

M3 - Conference contribution

AN - SCOPUS:85161713775

SN - 9781644902509

T3 - Materials Research Proceedings

SP - 425

EP - 429

BT - Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022

A2 - Yin Fong, Yeong

A2 - Man Kee, Lam

A2 - Jusoh, Norwahyu

A2 - Chuah, Chong Yang

PB - Association of American Publishers

T2 - International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022

Y2 - 1 December 2022 through 2 December 2022

ER -

Asifa A, Gordon M, Hamish M. Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass. In Yin Fong Y, Man Kee L, Jusoh N, Chuah CY, editors, Sustainable Processes and Clean Energy Transition- International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022. Association of American Publishers. 2023. p. 425-429. (Materials Research Proceedings). doi: 10.21741/9781644902516-48

Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass

Abstract

Publication series

Conference

Keywords

Access to Document

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EX-QNRF-MME-7: Biological conversion of fuel synthesis process water to single cell protein for aquaculture feed using purple phototrophic bacteria

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Drying kinetics and statistical modeling of thin-layer drying of purple non-sulfur bacterial biomass

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

EX-QNRF-MME-7: Biological conversion of fuel synthesis process water to single cell protein for aquaculture feed using purple phototrophic bacteria

Cite this