Qualitative and quantitative evaluation of microalgal biomass using portable attenuated total reflectance‐Fourier transform infrared spectroscopy and machine learning analytics

BACKGROUND Using microalgae for wastewater treatment offers an environmentally friendly method to produce microalgal biomass that can be used for many applications. However, the biochemical characteristics of microalgal biomass vary from species to species, from strain to strain, and between differe...

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Veröffentlicht in:	Journal of chemical technology and biotechnology (1986) 2024-01, Vol.99 (1), p.92-108
Hauptverfasser:	Sweiss, Mais, Assi, Sulaf, Barhoumi, Lina, Al‐Jumeily, Dhiya, Watson, Megan, Wilson, Megan, Arnot, Tom, Scott, Rod
Format:	Artikel
Sprache:	eng
Schlagworte:	Algae Aquatic microorganisms attenuated total reflectance Fourier transform infrared Biochemical characteristics Biochemical composition Biochemistry Biomass Biotechnology Carbohydrates Chemical technology Composition Constituents Desmodesmus Fourier transforms Infrared analysis Infrared spectroscopy Learning algorithms Learning analytics Lipids Machine learning Microalgae Monitoring Monitoring methods Multivariate analysis Phases Portability principal component analysis Principal components analysis Proteins Qualitative analysis Reflectance spectroscopy Spectrum analysis Stationary phase wastewater Wastewater treatment Water treatment Wavelengths
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