Literature DB >> 23331037

Rapid and in vivo quantification of cellular lipids in Chlorella vulgaris using near-infrared Raman spectrometry.

Tsung-Hua Lee1, Jo-Shu Chang, Hsiang-Yu Wang.   

Abstract

A rapid and noninvasive quantification method for cellular lipids in Chlorella vulgaris is demonstrated in this study. This method applied near-infrared Raman spectroscopy to monitor the change of signal intensities at 1440 cm(-1) and 2845-3107 cm(-1) along the nitrogen depletion period, and calibration curves relating signal intensity and cellular lipid abundance were established. The calibration curves show that signal intensity at 2845-3107 cm(-1) and cellular lipid abundance were highly correlated. When the calibration curve was applied on the lipid quantification of two unknown samples, the differences between lipid abundances estimated by the calibration curve and measured by gas chromatography were less than 2 wt %. Carotenoids produced a strong and broad peak near 1440 cm(-1), and it weakened the correlation between signal intensity and lipid abundance. The consistency of detection and effects of cellular contents and water on the Raman spectrogram of Chlorella vulgaris were also addressed. The sample pretreatment only involved centrifugation, and the time required for lipid quantification was shortened to less than 1.5 h. The rapid detection has great potential in high-throughput screening of microalgae and also provides valuable information for monitoring the quality of microalgae culture and determining parameters for the mass production of biodiesel from microalgae.

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Year:  2013        PMID: 23331037     DOI: 10.1021/ac3028118

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

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Authors:  Lung-Hsiang Peng; Binesh Unnikrishnan; Chi-Yu Shih; Tung-Ming Hsiung; Jeng Chang; Pang-Hung Hsu; Tai-Chia Chiu; Chih-Ching Huang
Journal:  Mar Biotechnol (NY)       Date:  2016-02-03       Impact factor: 3.619

2.  Near-real-time analysis of the phenotypic responses of Escherichia coli to 1-butanol exposure using Raman Spectroscopy.

Authors:  Theresah N K Zu; Ahmad I M Athamneh; Robert S Wallace; Eva Collakova; Ryan S Senger
Journal:  J Bacteriol       Date:  2014-08-25       Impact factor: 3.490

3.  Quantitative dynamics of triacylglycerol accumulation in microalgae populations at single-cell resolution revealed by Raman microspectroscopy.

Authors:  Tingting Wang; Yuetong Ji; Yun Wang; Jing Jia; Jing Li; Shi Huang; Danxiang Han; Qiang Hu; Wei E Huang; Jian Xu
Journal:  Biotechnol Biofuels       Date:  2014-04-09       Impact factor: 6.040

  3 in total

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