Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom
Acetone; Antioxidants; Aquatic ecosystems; Chlorophyll; Fatty acids; Microorganisms; Polysaccharides; Proteins; Regression analysis; Algae blooms; Chlorophyll concentration; Ecosystem health; Extractants; Harmful algae; Micro-algae; Nutrient extraction; Red green blues; Scenedesmus; Tri-Phasic; Micr...
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2023
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my.uniten.dspace-270462023-05-29T17:38:59Z Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom Tang D.Y.Y. Chew K.W. Chia S.R. Ting H.-Y. Sia Y.-H. Gentili F.G. Ma Z. Awasthi M.K. Show P.L. 57215001567 57192980692 57194081866 57953234200 58025924900 7003709470 8399413600 13003468000 47861451300 Acetone; Antioxidants; Aquatic ecosystems; Chlorophyll; Fatty acids; Microorganisms; Polysaccharides; Proteins; Regression analysis; Algae blooms; Chlorophyll concentration; Ecosystem health; Extractants; Harmful algae; Micro-algae; Nutrient extraction; Red green blues; Scenedesmus; Tri-Phasic; Microalgae Overgrowth of microalgae will result in harmful algae blooms that can affect the aquatic ecosystem and human health. Therefore, the quantitation of chlorophyll pigments can be used as an indicator of algae bloom. However, it is difficult to monitor the geographical and temporal distribution of chlorophyll in the aquatic environment. Accordingly, an innovative and inexpensive method based on the red-green-blue (RGB) image analysis was utilized in this study to estimate the microalgae chlorophyll content. The digital images were acquired using a smartphone camera. The colour index was then evaluated using software and associated with chlorophyll concentration significantly. A regression model, using RGB colour components as independent variables to estimate chlorophyll concentration, was developed and validated. The Green in the RGB index was the most promising way to estimate chlorophyll concentration in microalgae. The result showed that acetone was the best extractant solvent with a high R-squared value among the four extractant solvents. Next, the isolation of useful biomolecules, such as proteins, fatty acids, polysaccharides and antioxidants from the microalgae, has been recognized as an alternative to regulating algae bloom. Microalgae are shown to produce bioactive compounds with a variety of biological activities that can be applied in various industries. This study evaluates the biochemical composition of mixed microalgae species, Desmodesmus sp. and Scenedesmus sp. using the liquid triphasic partitioning (TPP) system. The findings from analytical assays revealed that the biomass consisted of varied concentrations of carbohydrates, protein, and lipids. Phenolic compounds and antioxidant activity were at 60.22 mg/L and 90.69%, respectively. � 2022 Informa UK Limited, trading as Taylor & Francis Group. Article in Press 2023-05-29T09:38:59Z 2023-05-29T09:38:59Z 2022 Article 10.1080/09593330.2022.2150094 2-s2.0-85144576278 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144576278&doi=10.1080%2f09593330.2022.2150094&partnerID=40&md5=7d9fd25ec4de29d385624ebb593df08e https://irepository.uniten.edu.my/handle/123456789/27046 Taylor and Francis Ltd. Scopus |
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Acetone; Antioxidants; Aquatic ecosystems; Chlorophyll; Fatty acids; Microorganisms; Polysaccharides; Proteins; Regression analysis; Algae blooms; Chlorophyll concentration; Ecosystem health; Extractants; Harmful algae; Micro-algae; Nutrient extraction; Red green blues; Scenedesmus; Tri-Phasic; Microalgae |
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57215001567 Tang D.Y.Y. Chew K.W. Chia S.R. Ting H.-Y. Sia Y.-H. Gentili F.G. Ma Z. Awasthi M.K. Show P.L. |
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Tang D.Y.Y. Chew K.W. Chia S.R. Ting H.-Y. Sia Y.-H. Gentili F.G. Ma Z. Awasthi M.K. Show P.L. |
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Tang D.Y.Y. Chew K.W. Chia S.R. Ting H.-Y. Sia Y.-H. Gentili F.G. Ma Z. Awasthi M.K. Show P.L. Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom |
| author_sort |
Tang D.Y.Y. |
| title |
Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom |
| title_short |
Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom |
| title_full |
Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom |
| title_fullStr |
Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom |
| title_full_unstemmed |
Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom |
| title_sort |
triphasic partitioning of mixed scenedesmus and desmodesmus for nutrients� extraction and chlorophyll composition prediction for algae bloom |
| publisher |
Taylor and Francis Ltd. |
| publishDate |
2023 |
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1806427348794343424 |
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13.18916 |