Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy

Spirulina platensis can synthesize a large amount of phycocyanin, which had been developed as a health food. At the same time, Spirulina can absorb the nitrogen and phosphorus in wastewater and provide for its own growth. Here, we studied the optimal nitrogen and phosphorus supply for the Spirulina...

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Main Authors: Yong He, Xiaoxi Liu, Hui Fang, Jinnuo Zhang, Xuping Feng
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2021/8857984
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spelling doaj-dbcf9cf3f21a437890c113d0e8810cb92021-03-15T00:01:00ZengHindawi LimitedJournal of Chemistry2090-90712021-01-01202110.1155/2021/8857984Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman SpectroscopyYong He0Xiaoxi Liu1Hui Fang2Jinnuo Zhang3Xuping Feng4College of Biosystems Engineering and Food ScienceCollege of Biosystems Engineering and Food ScienceCollege of Biosystems Engineering and Food ScienceCollege of Biosystems Engineering and Food ScienceCollege of Biosystems Engineering and Food ScienceSpirulina platensis can synthesize a large amount of phycocyanin, which had been developed as a health food. At the same time, Spirulina can absorb the nitrogen and phosphorus in wastewater and provide for its own growth. Here, we studied the optimal nitrogen and phosphorus supply for the Spirulina production process. For the first time, 405 nm portable Raman spectrometer was used to estimate phycocyanin content for real-time industrial applications. We obtained three Raman characteristic peaks of phycocyanin through density functional theory combined with home-built Raman spectrometer, which were 1272, 1337, and 1432cm−1. There was a good linear correlation between the sum of the three peak intensities and the PCL concentration (y = 18.887x + 833.530, R2=0.890). The least squares support vector machine model based on the characteristic peaks was used to estimate the concentration of phycocyanin and obtained good results with a correlation coefficient of prediction of 0.907 and residual predictive deviation of 3.357. The results can provide decision-making for integration of Spirulina effluent treatment and phycocyanin production and provide references for real-time Spirulina-based biorefinery applications.http://dx.doi.org/10.1155/2021/8857984
collection DOAJ
language English
format Article
sources DOAJ
author Yong He
Xiaoxi Liu
Hui Fang
Jinnuo Zhang
Xuping Feng
spellingShingle Yong He
Xiaoxi Liu
Hui Fang
Jinnuo Zhang
Xuping Feng
Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy
Journal of Chemistry
author_facet Yong He
Xiaoxi Liu
Hui Fang
Jinnuo Zhang
Xuping Feng
author_sort Yong He
title Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy
title_short Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy
title_full Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy
title_fullStr Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy
title_full_unstemmed Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy
title_sort real-time and in situ evaluation of phycocyanin concentration in spirulina platensis cultivation system by using portable raman spectroscopy
publisher Hindawi Limited
series Journal of Chemistry
issn 2090-9071
publishDate 2021-01-01
description Spirulina platensis can synthesize a large amount of phycocyanin, which had been developed as a health food. At the same time, Spirulina can absorb the nitrogen and phosphorus in wastewater and provide for its own growth. Here, we studied the optimal nitrogen and phosphorus supply for the Spirulina production process. For the first time, 405 nm portable Raman spectrometer was used to estimate phycocyanin content for real-time industrial applications. We obtained three Raman characteristic peaks of phycocyanin through density functional theory combined with home-built Raman spectrometer, which were 1272, 1337, and 1432cm−1. There was a good linear correlation between the sum of the three peak intensities and the PCL concentration (y = 18.887x + 833.530, R2=0.890). The least squares support vector machine model based on the characteristic peaks was used to estimate the concentration of phycocyanin and obtained good results with a correlation coefficient of prediction of 0.907 and residual predictive deviation of 3.357. The results can provide decision-making for integration of Spirulina effluent treatment and phycocyanin production and provide references for real-time Spirulina-based biorefinery applications.
url http://dx.doi.org/10.1155/2021/8857984
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