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.

Original Title

Chlorella vulgaris FSP-E cultivation in waste molasses: Photo-to-property estimation by artificial intelligence

Type

journal article in Web of Science

Language

English

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.

Keywords

Microalgae, Microalgae cultivation, Chlorella sp., Molasses, Artificial intelligence, Image analyze algorithm

Authors

YEW, G.Y., PUAH, B.K., CHEW, K.W., TENG, S.Y., SHOW, P.L., NGUYEN, T.H.P.

Released

15. 12. 2020

Publisher

Elsevier

Location

Oxford, England

ISBN

1385-8947

Periodical

CHEMICAL ENGINEERING JOURNAL

Year of study

402

Number

126230

State

Swiss Confederation

Pages from

1

Pages to

10

Pages count

10

URL

https://www.sciencedirect.com/science/article/pii/S1385894720323585

BibTex

@article{BUT170178,
  author="Sin Yong {Teng}",
  title="Chlorella vulgaris FSP-E cultivation in waste molasses: Photo-to-property estimation by artificial intelligence",
  journal="CHEMICAL ENGINEERING JOURNAL",
  year="2020",
  volume="402",
  number="126230",
  pages="1--10",
  doi="10.1016/j.cej.2020.126230",
  issn="1385-8947",
  url="https://www.sciencedirect.com/science/article/pii/S1385894720323585"
}