Staff View: Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network

Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network

Harvesting of microalgae biomass is identified as one of the bottlenecks in microalgae biofuel industry due to expensive and energy-intensive dewatering technologies. Alternatively, flocculation process using bioflocculants have given much attention in recent years as green substitutes over chemical...

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Main Authors:	Suparmaniam, U., Shaik, N.B., Lam, M.K., Lim, J.W., Uemura, Y., Shuit, S.H., Show, P.L., Tan, I.S., Lee, K.T.
Format:	Article
Published:	Elsevier Ltd 2022
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130178460&doi=10.1016%2fj.jwpe.2022.102808&partnerID=40&md5=1ae684c420de8c01d1a5d2bc2b3970fc http://eprints.utp.edu.my/33048/
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spelling	my.utp.eprints.330482022-06-09T08:11:21Z Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network Suparmaniam, U. Shaik, N.B. Lam, M.K. Lim, J.W. Uemura, Y. Shuit, S.H. Show, P.L. Tan, I.S. Lee, K.T. Harvesting of microalgae biomass is identified as one of the bottlenecks in microalgae biofuel industry due to expensive and energy-intensive dewatering technologies. Alternatively, flocculation process using bioflocculants have given much attention in recent years as green substitutes over chemical flocculants. In this study, bioflocculant was extracted from waste fish bone using mild acid to harvest the freshwater microalgae, Chlorella vulgaris. The optimum flocculation occurred at pH of 9.8 and 50 Â°C using fish bone bioflocculant which led to flocculation efficiency of 97.65. To predict complex processes such as microalgae flocculation, artificial neural network (ANN) was employed. Bayesian regularization model with a topology of 2-10-1 showed high correlation coefficients, R2 of more than 0.98, which indicated that the model was significant and robust in identification of the optimum conditions. Characterizations of fish bone bioflocculant and biofloc confirmed the involvement of potassium and other cations as well as carbohydrate and protein substances to flocculate C. vulgaris cells, employing sweeping and charge neutralization as key mechanisms. This finding proposed a valuable reference for practical and rapid harvesting of microalgae using low-cost bioflocculant and the ANN algorithm can be applied in microalgae processing industries for making crucial assessments regarding the process operating conditions. Â© 2022 Elsevier Ltd Elsevier Ltd 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130178460&doi=10.1016%2fj.jwpe.2022.102808&partnerID=40&md5=1ae684c420de8c01d1a5d2bc2b3970fc Suparmaniam, U. and Shaik, N.B. and Lam, M.K. and Lim, J.W. and Uemura, Y. and Shuit, S.H. and Show, P.L. and Tan, I.S. and Lee, K.T. (2022) Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network. Journal of Water Process Engineering, 47 . http://eprints.utp.edu.my/33048/
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Institutional Repository
url_provider	http://eprints.utp.edu.my/
description	Harvesting of microalgae biomass is identified as one of the bottlenecks in microalgae biofuel industry due to expensive and energy-intensive dewatering technologies. Alternatively, flocculation process using bioflocculants have given much attention in recent years as green substitutes over chemical flocculants. In this study, bioflocculant was extracted from waste fish bone using mild acid to harvest the freshwater microalgae, Chlorella vulgaris. The optimum flocculation occurred at pH of 9.8 and 50 Â°C using fish bone bioflocculant which led to flocculation efficiency of 97.65. To predict complex processes such as microalgae flocculation, artificial neural network (ANN) was employed. Bayesian regularization model with a topology of 2-10-1 showed high correlation coefficients, R2 of more than 0.98, which indicated that the model was significant and robust in identification of the optimum conditions. Characterizations of fish bone bioflocculant and biofloc confirmed the involvement of potassium and other cations as well as carbohydrate and protein substances to flocculate C. vulgaris cells, employing sweeping and charge neutralization as key mechanisms. This finding proposed a valuable reference for practical and rapid harvesting of microalgae using low-cost bioflocculant and the ANN algorithm can be applied in microalgae processing industries for making crucial assessments regarding the process operating conditions. Â© 2022 Elsevier Ltd
format	Article
author	Suparmaniam, U. Shaik, N.B. Lam, M.K. Lim, J.W. Uemura, Y. Shuit, S.H. Show, P.L. Tan, I.S. Lee, K.T.
spellingShingle	Suparmaniam, U. Shaik, N.B. Lam, M.K. Lim, J.W. Uemura, Y. Shuit, S.H. Show, P.L. Tan, I.S. Lee, K.T. Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network
author_facet	Suparmaniam, U. Shaik, N.B. Lam, M.K. Lim, J.W. Uemura, Y. Shuit, S.H. Show, P.L. Tan, I.S. Lee, K.T.
author_sort	Suparmaniam, U.
title	Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network
title_short	Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network
title_full	Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network
title_fullStr	Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network
title_full_unstemmed	Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network
title_sort	valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: experimental evaluation and modelling using back propagation artificial neural network
publisher	Elsevier Ltd
publishDate	2022
url	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130178460&doi=10.1016%2fj.jwpe.2022.102808&partnerID=40&md5=1ae684c420de8c01d1a5d2bc2b3970fc http://eprints.utp.edu.my/33048/
_version_	1738657448086994944
score	13.211869

Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: Experimental evaluation and modelling using back propagation artificial neural network

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