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Bioresour Technol. 2015 Aug;190:536-42. doi: 10.1016/j.biortech.2015.03.036. Epub 2015 Mar 13.

Optimization of cell disruption methods for efficient recovery of bioactive metabolites via NMR of three freshwater microalgae (chlorophyta).

Author information

1
School of Fundamental Science, University Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia. Electronic address: nyukling@umt.edu.my.
2
School of Fundamental Science, University Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia. Electronic address: t.kityinn@gmail.com.
3
Eastern Corridor Renewable Energy Group (ECRE), School of Ocean Engineering, University Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia. Electronic address: lam@umt.edu.my.
4
Institute of Marine Biotechnology, University Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia. Electronic address: nyetebe@hotmail.com.
5
Institute of Marine Biotechnology, University Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia. Electronic address: Cha_ts@umt.edu.my.

Abstract

This study demonstrates the use of NMR techniques coupled with chemometric analysis as a high throughput data mining method to identify and examine the efficiency of different disruption techniques tested on microalgae (Chlorella variabilis, Scenedesmus regularis and Ankistrodesmus gracilis). The yield and chemical diversity from the disruptions together with the effects of pre-oven and pre-freeze drying prior to disruption techniques were discussed. HCl extraction showed the highest recovery of oil compounds from the disrupted microalgae (up to 90%). In contrast, NMR analysis showed the highest intensity of bioactive metabolites obtained for homogenized extracts pre-treated with freeze-drying, indicating that homogenizing is a more favorable approach to recover bioactive substances from the disrupted microalgae. The results show the potential of NMR as a useful metabolic fingerprinting tool for assessing compound diversity in complex microalgae extracts.

KEYWORDS:

Bioactive compounds; Disruption; Metabolite; Microalgae; NMR

PMID:
25812996
DOI:
10.1016/j.biortech.2015.03.036
[Indexed for MEDLINE]

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