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 different growth stages within the same species/strain. This study utilized portable attenuated total reflectance‐Fourier transform infrared (ATR‐FTIR) spectroscopy to determine the composition of freeze‐dried microalgal biomass corresponding to eight different locally isolated microalgae and a reference strain that were grown in wastewater and then harvested at the log and stationary phases, respectively.RESULTS: The results showed that the portable ATR‐FTIR spectroscopy offered a rapid, non‐destructive, and accurate technique for monitoring changes in the biochemical composition of algal biomass at stationary and log phases, as well as quantifying 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 quantification, the highest relative content of carbohydrates in the log phase was for Jordan‐23 (Jo‐23; Desmodesmus sp.), whereas the highest content in the stationary phase was that for Jordan‐29 (Jo‐29; Desmodesmus sp). Regarding the relative lipid content in the log phase, Jo‐23 had the highest lipid content, while the highest content in the stationary phase was for Jo‐29.CONCLUSION: ATR‐FTIR spectroscopy offered a rapid and sustainable method for monitoring the microalgal biomass produced during wastewater treatment processes. © 2023 The Authors. Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).

In light of the rapid and extreme changes in climate and the steady depletion of natural resources, there is an urgent need to find innovative and sustainable solutions to these problems. Microorganisms such as microalgae can offer viable solutions to these challenges. Proper investment in such organisms requires the identification of the algal species that inhabit the region. Therefore, this study aimed to isolate and molecularly characterize green microalgae that inhabit freshwater at different locations in the governorates of Irbid and Ajloun in the northern region of Jordan. Water samples collected from these regions were used to isolate single colonies, some of which exhibited different morphological characteristics. Genomic DNA was extracted from the isolates and used as a template for PCR amplification of the 18S ribosomal DNA gene (18S rDNA) and the internal transcribed spacer (ITS) region. Phylogenetic trees were constructed based on 18S rDNA and ITS PCR product sequences, which were used to identify the isolates at the genus level. The obtained isolates belonged to three genera; Coelastrella, Desmodesmus, and Monoraphidium. The latter species has not been previously reported in Jordan.

Mais Sweiss, Maen Hasan, and Nidal Odat. J. Microbiol. Biotechnol. 2024;34:1848-56. https://doi.org/10.4014/jmb.2404.04024

Sponges (Porifera) are the largest biomass component of coral reefs benthic fauna among marine organisms and are very morphologically diverse. In the present work, we aimed to identify marine sponges in the Jordanian Gulf of Aqaba using the partial 18S rRNA and the 28S rRNA genes as DNA barcoding markers. A total of nine morphologically different marine sponge samples from 6.6m to approximately 22m depth were collected. Sponge fragments were frozen at −80 °C prior to DNA extraction. The sponge's DNA was extracted using a commercial kit and subjected directly to PCR amplification for the 18S rRNA and 28S rRNA genes. The DNA sequences were analyzed using the Basic Local Alignment Search Tool (BLAST) to determine the sponge's identity, and phylogenetic trees were constructed to clarify the relationship among the samples. The results obtained revealed the presence of the following genera: Axinella, Negombata, Siphonochalina, Diacarnus, and an unidentified genus within the order Haplosclerida. Identification of sponge species was difficult due to the scarcity of diagnostic morphological characters. To our knowledge, this is the first study in the Jordanian Gulf of Aqaba that focuses on the morphological and molecular taxonomy of marine sponges using DNA barcoding markers.