Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-14365
Authors: Yeh, Yen-Cheng
Ebbing, Tobias
Frick, Konstantin
Schmid-Staiger, Ulrike
Haasdonk, Bernard
Tovar, Günter E. M.
Title: Improving determination of pigment contents in microalgae suspension with absorption spectroscopy : light scattering effect and Bouguer-Lambert-Beer law
Issue Date: 2023
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 17
metadata.ubs.publikation.source: Marine drugs 21 (2023), No. 619
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-143842
http://elib.uni-stuttgart.de/handle/11682/14384
http://dx.doi.org/10.18419/opus-14365
ISSN: 1660-3397
Abstract: The Bouguer-Lambert-Beer (BLB) law serves as the fundamental basis for the spectrophotometric determination of pigment content in microalgae. Although it has been observed that the applicability of the BLB law is compromised by the light scattering effect in microalgae suspensions, in-depth research concerning the relationship between the light scattering effect and the accuracy of spectrophotometric pigment determination remains scarce. We hypothesized that (1) the precision of spectrophotometric pigment content determination using the BLB law would diminish with increasing nonlinearity of absorbance, and (2) employing the modified version of the BLB (mBLB) law would yield superior performance. To assess our hypotheses, we cultivated Phaeodactylum tricornutum under varying illumination conditions and nitrogen supplies in controlled indoor experiments, resulting in suspensions with diverse pigment contents. Subsequently, P. tricornutum samples were diluted into subsamples, and spectral measurements were conducted using different combinations of biomass concentrations and path lengths. This was carried out to assess the applicability of the BLB law and the nonlinearity of absorbance. The chlorophyll a and fucoxanthin contents in the samples were analyzed via high-performance liquid chromatography (HPLC) and subsequently used in our modeling. Our findings confirm our hypotheses, showing that the modified BLB law outperforms the original BLB law in terms of the normalized root mean square error (NRMSE): 6.3% for chlorophyll a and 5.8% for fucoxanthin, compared to 8.5% and 7.9%, respectively.
Appears in Collections:04 Fakultät Energie-, Verfahrens- und Biotechnik

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