Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication
Green microalgae containing various bioactive compounds and macronutrients such as lipids, carbohydrates, and proteins, have attracted much attention from the global community. Microalgae has the potential to be applied in food industries due to its high protein content, rapid growth rate, and abili...
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2019
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my.utp.eprints.248302021-08-27T08:36:23Z Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication Chia, S.R. Chew, K.W. Zaid, H.F.M. Chu, D.-T. Tao, Y. Show, P.L. Green microalgae containing various bioactive compounds and macronutrients such as lipids, carbohydrates, and proteins, have attracted much attention from the global community. Microalgae has the potential to be applied in food industries due to its high protein content, rapid growth rate, and ability to survive in harsh conditions. This study presents a simple yet efficient technique of sonication-assisted triphasic partitioning process, also known as ultrasonic-assisted three phase partitioning (UATPP), for the extraction of proteins from Chlorella vulgaris FSP-E. Comparison studies between three phase partitioning (TPP) and UATPP was conducted to investigate the feasibility of the enhanced technique on proteins extraction. Types of salt, ratio of slurry to t-butanol, salt saturation, sonication frequency, power, irradiation time, and duty cycle as well as biomass loading were studied. UATPP was found to be an improved technique compared to TPP. An optimum separation efficiency and yield of 74.59 ± 0.45 and 56.57 ± 3.70 was obtained, respectively, with the optimized conditions: salt saturation (50), slurry to t-butanol ratio (1:2), sonication power (100), irradiation time (10 min), frequency (35 kHz), duty cycle (80) and biomass loading (0.75 wt). A scaled-up study was performed to validate the reliability of UATPP for protein extraction. The outcome of the study revealed that UATPP is an attractive approach for downstream processing of microalgae. © Copyright © 2019 Chia, Chew, Zaid, Chu, Tao and Show. Frontiers Media S.A. 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077282815&doi=10.3389%2ffbioe.2019.00396&partnerID=40&md5=5ce308c21b88a2a2198b37f72eb6eea7 Chia, S.R. and Chew, K.W. and Zaid, H.F.M. and Chu, D.-T. and Tao, Y. and Show, P.L. (2019) Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication. Frontiers in Bioengineering and Biotechnology, 7 . http://eprints.utp.edu.my/24830/ |
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Green microalgae containing various bioactive compounds and macronutrients such as lipids, carbohydrates, and proteins, have attracted much attention from the global community. Microalgae has the potential to be applied in food industries due to its high protein content, rapid growth rate, and ability to survive in harsh conditions. This study presents a simple yet efficient technique of sonication-assisted triphasic partitioning process, also known as ultrasonic-assisted three phase partitioning (UATPP), for the extraction of proteins from Chlorella vulgaris FSP-E. Comparison studies between three phase partitioning (TPP) and UATPP was conducted to investigate the feasibility of the enhanced technique on proteins extraction. Types of salt, ratio of slurry to t-butanol, salt saturation, sonication frequency, power, irradiation time, and duty cycle as well as biomass loading were studied. UATPP was found to be an improved technique compared to TPP. An optimum separation efficiency and yield of 74.59 ± 0.45 and 56.57 ± 3.70 was obtained, respectively, with the optimized conditions: salt saturation (50), slurry to t-butanol ratio (1:2), sonication power (100), irradiation time (10 min), frequency (35 kHz), duty cycle (80) and biomass loading (0.75 wt). A scaled-up study was performed to validate the reliability of UATPP for protein extraction. The outcome of the study revealed that UATPP is an attractive approach for downstream processing of microalgae. © Copyright © 2019 Chia, Chew, Zaid, Chu, Tao and Show. |
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Chia, S.R. Chew, K.W. Zaid, H.F.M. Chu, D.-T. Tao, Y. Show, P.L. |
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Chia, S.R. Chew, K.W. Zaid, H.F.M. Chu, D.-T. Tao, Y. Show, P.L. Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication |
author_facet |
Chia, S.R. Chew, K.W. Zaid, H.F.M. Chu, D.-T. Tao, Y. Show, P.L. |
author_sort |
Chia, S.R. |
title |
Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication |
title_short |
Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication |
title_full |
Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication |
title_fullStr |
Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication |
title_full_unstemmed |
Microalgal Protein Extraction From Chlorella vulgaris FSP-E Using Triphasic Partitioning Technique With Sonication |
title_sort |
microalgal protein extraction from chlorella vulgaris fsp-e using triphasic partitioning technique with sonication |
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Frontiers Media S.A. |
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2019 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077282815&doi=10.3389%2ffbioe.2019.00396&partnerID=40&md5=5ce308c21b88a2a2198b37f72eb6eea7 http://eprints.utp.edu.my/24830/ |
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