Publication detail
Chlorella vulgaris FSP-E cultivation in waste molasses: Photo-to-property estimation by artificial intelligence
YEW, G.Y. PUAH, B.K. CHEW, K.W. TENG, S.Y. SHOW, P.L. NGUYEN, T.H.P.
English title
Chlorella vulgaris FSP-E cultivation in waste molasses: Photo-to-property estimation by artificial intelligence
Type
journal article in Web of Science
Language
en
Original abstract
This progress of industry revolution, which involves reutilizing waste materials and simplifying complex procedures of analysis through artificial intelligent (AI), are the current interest in automated industries. There are two main objectives, firstly, the use of waste molasses from sugar mills as a cultivation medium for microalgae and nutrients extraction. The biomass in 15% of the molasses medium without carbon dioxide aeration during cultivation obtained the highest dry cell weight at 1206.43 mg/L. Protein content in the biomass of 10% molasses cultivation medium is 20.60%, which is higher compared to commercial mediums. Secondly, the exploitation of the deep colouration properties of molasses-cultivated microalgae, a novel photo-to-property estimation was performed by k-Nearest Neighbour (k-NN) algorithm through RGB model pixel raster in the images to rapidly determine the biomass concentration, nitrogen concentration and pH without use of tedious analytical processes. The k-value at 4 was studied in normalized Root-Mean-Square-Error (RMSE) for biomass concentration at 0.10, nitrate at 0.11, and pH at 0.02 for a sequence of days.
English abstract
This progress of industry revolution, which involves reutilizing waste materials and simplifying complex procedures of analysis through artificial intelligent (AI), are the current interest in automated industries. There are two main objectives, firstly, the use of waste molasses from sugar mills as a cultivation medium for microalgae and nutrients extraction. The biomass in 15% of the molasses medium without carbon dioxide aeration during cultivation obtained the highest dry cell weight at 1206.43 mg/L. Protein content in the biomass of 10% molasses cultivation medium is 20.60%, which is higher compared to commercial mediums. Secondly, the exploitation of the deep colouration properties of molasses-cultivated microalgae, a novel photo-to-property estimation was performed by k-Nearest Neighbour (k-NN) algorithm through RGB model pixel raster in the images to rapidly determine the biomass concentration, nitrogen concentration and pH without use of tedious analytical processes. The k-value at 4 was studied in normalized Root-Mean-Square-Error (RMSE) for biomass concentration at 0.10, nitrate at 0.11, and pH at 0.02 for a sequence of days.
Keywords in English
Microalgae, Microalgae cultivation, Chlorella sp., Molasses, Artificial intelligence, Image analyze algorithm
Released
15.12.2020
Publisher
Elsevier
Location
Oxford, England
ISSN
1385-8947
Volume
402
Number
126230
Pages from–to
1–10
Pages count
10
BIBTEX
@article{BUT170178,
author="Sin Yong {Teng},
title="Chlorella vulgaris FSP-E cultivation in waste molasses: Photo-to-property estimation by artificial intelligence",
year="2020",
volume="402",
number="126230",
month="December",
pages="1--10",
publisher="Elsevier",
address="Oxford, England",
issn="1385-8947"
}