TY - JOUR
T1 - FTIR combined with chemometric tools — a potential approach for early screening of grazers in microalgal cultures
AU - Deore, Pranali
AU - Beardall, John
AU - Palacios, Yussi M.
AU - Noronha, Santosh
AU - Heraud, Philip
N1 - Funding Information:
The authors would like to thank Dr. Santanu Dasgupta, Reliance Industries Limited, India for providing financial support (IMURA0303) and scientific inputs. The authors would like to thank Dr. Kyatanahalli Nagabhushana, IITB-Monash Research Academy, India for providing infrastructural support. We also acknowledge the Thermofisher Scientific, India, for providing technical support for FTIR operation.
Funding Information:
This work was funded by Reliance Industries Limited, Mumbai, under a fund code IMURA0303.
Funding Information:
The authors would like to thank Dr. Santanu Dasgupta, Reliance Industries Limited, India for providing financial support (IMURA0303) and scientific inputs. The authors would like to thank Dr. Kyatanahalli Nagabhushana, IITB-Monash Research Academy, India for providing infrastructural support. We also acknowledge the Thermofisher Scientific, India, for providing technical support for FTIR operation.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/10
Y1 - 2021/10
N2 - Microalgal predation is one of the imminent threats for mass algae cultivation in open ponds. Invasion of predators results in total clearance of algal biomass within 24–48 h. Detection of contamination in microalgal cultures using online spectroscopy has attracted considerable interest among researchers. Currently reported spectral markers such as hyperspectral and multispectral tools, using visible wavelengths of light, mainly detect changes in the pigment composition or degradation associated with contaminants, especially predators. Unlike monitoring of pigment composition, our work leverages the species-discriminatory potential of Fourier transform infrared (FTIR) spectroscopy in combination with chemometric tools for detection of predators. Here we report FTIR-based signature features, at 1346, 1363, and 1382 cm−1, for detection of Oxyrrhis marina–mediated grazing in cultures of Dunaliella tertiolecta. Based on a partial least square regression (PLSR) model (R2 = 0.894), the signature spectra can indicate the presence of O. marina at a concentration of 5 × 102 cells mL−1 and at least 72 h prior to the culture crash. As opposed to offline grazer monitoring tools, the potential for FTIR-based flow-through design in combination with multivariate methods could enable real-time and non invasive means of early detection of algal grazers.
AB - Microalgal predation is one of the imminent threats for mass algae cultivation in open ponds. Invasion of predators results in total clearance of algal biomass within 24–48 h. Detection of contamination in microalgal cultures using online spectroscopy has attracted considerable interest among researchers. Currently reported spectral markers such as hyperspectral and multispectral tools, using visible wavelengths of light, mainly detect changes in the pigment composition or degradation associated with contaminants, especially predators. Unlike monitoring of pigment composition, our work leverages the species-discriminatory potential of Fourier transform infrared (FTIR) spectroscopy in combination with chemometric tools for detection of predators. Here we report FTIR-based signature features, at 1346, 1363, and 1382 cm−1, for detection of Oxyrrhis marina–mediated grazing in cultures of Dunaliella tertiolecta. Based on a partial least square regression (PLSR) model (R2 = 0.894), the signature spectra can indicate the presence of O. marina at a concentration of 5 × 102 cells mL−1 and at least 72 h prior to the culture crash. As opposed to offline grazer monitoring tools, the potential for FTIR-based flow-through design in combination with multivariate methods could enable real-time and non invasive means of early detection of algal grazers.
KW - Bioprocess monitoring
KW - Contamination detection
KW - In situ detection
KW - Multivariate tools
KW - Pond crash
KW - Spectral markers
UR - http://www.scopus.com/inward/record.url?scp=85115115960&partnerID=8YFLogxK
U2 - 10.1007/s10811-021-02543-8
DO - 10.1007/s10811-021-02543-8
M3 - Article
AN - SCOPUS:85115115960
SN - 0921-8971
VL - 33
SP - 2709
EP - 2722
JO - Journal of Applied Phycology
JF - Journal of Applied Phycology
IS - 5
ER -