Next Article in Journal
Elevated Levels of Endocannabinoids in Chronic Hepatitis C May Modulate Cellular Immune Response and Hepatic Stellate Cell Activation
Next Article in Special Issue
Combined Enzymatic and Mechanical Cell Disruption and Lipid Extraction of Green Alga Neochloris oleoabundans
Previous Article in Journal
Antiangiogenesis, Loss of Cell Adhesion and Apoptosis Are Involved in the Antitumoral Activity of Proteases from V. cundinamarcensis (C. candamarcensis) in Murine Melanoma B16F1
Open AccessArticle

Rapid Characterization of Fatty Acids in Oleaginous Microalgae by Near-Infrared Spectroscopy

by 1,2, 2,3, 2, 1,2, 4, 1 and 2,5,*
School of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510640, China
Institute for Food and Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China
Institute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, MD 21202, USA
The School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
Singapore-Peking University Research Centre for a Sustainable Low-Carbon Future, CREATE Tower 138602, Singapore
Author to whom correspondence should be addressed.
Academic Editor: Christopher Q. Lan
Int. J. Mol. Sci. 2015, 16(4), 7045-7056;
Received: 3 February 2015 / Revised: 9 March 2015 / Accepted: 19 March 2015 / Published: 27 March 2015
(This article belongs to the Special Issue Microalgal Biotechnology)
The key properties of microalgal biodiesel are largely determined by the composition of its fatty acid methyl esters (FAMEs). The gas chromatography (GC) based techniques for fatty acid analysis involve energy-intensive and time-consuming procedures and thus are less suitable for high-throughput screening applications. In the present study, a novel quantification method for microalgal fatty acids was established based on the near-infrared spectroscopy (NIRS) technique. The lyophilized cells of oleaginous Chlorella containing different contents of lipids were scanned by NIRS and their fatty acid profiles were determined by GC-MS. NIRS models were developed based on the chemometric correlation of the near-infrared spectra with fatty acid profiles in algal biomass. The optimized NIRS models showed excellent performances for predicting the contents of total fatty acids, C16:0, C18:0, C18:1 and C18:3, with the coefficient of determination (R2) being 0.998, 0.997, 0.989, 0.991 and 0.997, respectively. Taken together, the NIRS method established here bypasses the procedures of cell disruption, oil extraction and transesterification, is rapid, reliable, and of great potential for high-throughput applications, and will facilitate the screening of microalgal mutants and optimization of their growth conditions for biodiesel production. View Full-Text
Keywords: biodiesel; Chlorella; fatty acids; microalgae; near-infrared spectroscopy biodiesel; Chlorella; fatty acids; microalgae; near-infrared spectroscopy
Show Figures

Figure 1

MDPI and ACS Style

Liu, B.; Liu, J.; Chen, T.; Yang, B.; Jiang, Y.; Wei, D.; Chen, F. Rapid Characterization of Fatty Acids in Oleaginous Microalgae by Near-Infrared Spectroscopy. Int. J. Mol. Sci. 2015, 16, 7045-7056.

Show more citation formats Show less citations formats

Article Access Map

Only visits after 24 November 2015 are recorded.
Back to TopTop