BACKGROUNDUsing microalgae for wastewater treatment offers an environmentally friendly method and produces microalgal biomass that can be used for many applications. However, biochemical characteristics of microalgal biomass vary from species to species, from strain to strain, and between different growth stages within the same species/strain. This study utilized portable attenuated total reflectance‐Fourier transform infrared (ATR‐FTIR) spectroscopy for determining freeze‐dried microalgal biomass composition corresponding to eight different locally isolated microalgae and a reference strain that were grown in wastewater and then was harvested at the log and stationary phases respectively.RESULTSThe results showed that the portable ATR‐FTIR spectroscopy offered a rapid, non‐destructive and accurate technique for monitoring the change in the biochemical composition of the algal biomass at stationary and log phases as well as the quantification of their main constituents. For qualitative analysis of species, two machine learning analytics (MLAs; correlation in wavenumber space and principal component analysis) were able to differentiate between microalgae isolates in both their stationary and log phases. For quantification, univariate or multivariate regression offered accuracy in quantifying key microalgal constituents related to proteins, lipids, and carbohydrates. In this sense, multivariate methods showed more accuracy for quantifying carbohydrates, yet proteins and lipids were more accurately quantified with univariate regression. Based on qantification, the highest relative content of carbohydrates in the log phase was for Jordan‐23 (Jo‐23; Desmodesmus sp.), whereas, in the stationary phase Jordan‐29 (Jo‐29; Desmodesmus sp). Regarding the relative lipid content in the log phase, Jo‐23 had the highest lipid content whereas in the stationary phase Jo‐29.CONCLUSIONATR‐FTIR spectroscopy offered a rapid and sustainable method for monitoring microalgal biomass produced during wastewater treatment processesThis article is protected by copyright. All rights reserved.