An ex-situ and in vitro approach towards the bioremediation of carcinogenic hexavalent chromium

Sustainable biosurfactant production from secondary feedstock-recent advances, process optimization and perspectives

Biosurfactants have garnered increased attention lately due to their superiority of their properties over fossil-derived counterparts. While the cost of production remains a significant hurdle to surpass synthetic surfactants, biosurfactants have been anticipated to gain a larger market share in the coming decades. Among these, glycolipids, a type of low-molecular-weight biosurfactant, stand out for their efficacy in reducing surface and interfacial tension, which made them highly sought-after for various surfactant-related applications. Glycolipids are composed of hydrophilic carbohydrate moieties linked to hydrophobic fatty acid chains through ester bonds that mainly include rhamnolipids, trehalose lipids, sophorolipids, and mannosylerythritol lipids. This review highlights the current landscape of glycolipids and covers specific glycolipid productivity and the diverse range of products found in the global market. Applications such as bioremediation, food processing, petroleum refining, biomedical uses, and increasing agriculture output have been discussed. Additionally, the latest advancements in production cost reduction for glycolipid and the challenges of utilizing second-generation feedstocks for sustainable production are also thoroughly examined. Overall, this review proposes a balance between environmental advantages, economic viability, and societal benefits through the optimized integration of secondary feedstocks in biosurfactant production.

A review of the treatment technologies for hexavalent chromium contaminated water

The toxicity of hexavalent chromium (Cr(VI)) present in the environment has exceeded the current limits or standards and thus may lead to biotic and abiotic catastrophes. Accordingly, several treatments, including chemical, biological, and physical approaches, are being used to reduce Cr(VI) waste in the surrounding environment. This study compares the Cr(VI) treatment approaches from several areas of science and their competence in Cr(VI) removal. As an effective combination of physical and chemical approaches, the coagulation-flocculation technique removes more than 98% of Cr(VI) in less than 30 min. Most membrane filtering approaches can remove up to 90% of Cr(VI). Biological approaches that involve the use of plants, fungi, and bacteria also successfully eliminate Cr(VI) but are difficult to scale up. Each of these approaches has its benefits and drawbacks, and their applicability is determined by the research aims. These approaches are also sustainable and environmentally benign, thus limiting their effects on the ecosystem.

Isolation of Hexavalent chromium tolerant fungal species from urban vegetable farm soil and effluent waste in Addis Ababa& Rift valley, Ethiopia

Hexavalent chromium is resistant to degradation and harmful toxic substance to environment and community health. Physicochemical treatment methods are demanding high cost, used large quantities of chemicals & energy, release large amount of secondary toxic degradants. Mycoremediation is an eco-friendly alternative treatment method. The main objective of this research is to isolate and characterize chrome (VI) tolerant fungi from farm soil & industry effluent for mycoremedation purpose. The screening and isolation of yeast was carried out on potato dextrose agar media. PDA and broth assay test for fungi tolerance to hexavalent chromium at different concentration, temperature and pH was evaluated. Fungi species was identified biochemically using Biolog Microstation depending on carbon utilization and chemical sensitivity test. The result revealed that 10 yeast species was identified with full ID from effluent waste and farm soil based on their probability ≥  75% and similarity index ≥  0.5 as well as their Cr (VI) tolerance ability up to 2500 ppm. These are Yarrowia lipolytica (100%, 0.7), Cryptococcus luteolus(100%, 0.64), Rhodotorula aurantiaca A(100%, 0.62), Ustilago maydis(100%, 0.58) Trichosporon beigelii B (100%, 0.51), Cryptococcus terreus A (100%, 0.62), Zygosaccharomyces bailii (98%, 0.65), Nadsoniafulvenscens (90%, 0.62), Schizoblastosporonstarkeyihenricii (89%, 0.56), Endomycopsis vivi (84%, 0.62), Rhodotorula pustula (Sim, 0.59). Two yeast species Yarrowia lipolytica and Nadsoniafulvenscens show the highest growth mean Optical density (OD) measure 0.74 ± 0.2 & 0.60 ± 0.2 respectively at pH 7 & 25 °C. The highest tolerance index (mm) was recorded by Schizoblastosporon starkey henricii 0.3067 ± 0.152. Cr (VI)-tolerance ability of these yeast strains used in the development of chromium-bioremediation technologies provide an alternative option for chromium sequestration after HPLC analysis& molecular characterization.

Bioreactor level optimization of chromium(VI) reduction through Pseudomonas putida APRRJVITS11 and sustainable remediation of pathogenic DNA in water

Background

Bioremediation is one of the indispensable features of Pseudomonas putida. The use of Pseudomonas has been proved to be an effective treatment of tannery released chromium (VI). The current study is the first attempt for the optimization of chromate reduction by Pseudomonas putida strain APRRJVITS11 in an optimized bench-scale bioreactor with successful thermo-pressure elimination of the strain thereby eliminating the health risk caused by antibiotic resistant genes (ARGs).

Results

The growth media, modified with optimized 1.0% nitrogen, 0.5% yeast extract and 0.3% sodium, showed enhanced bacterial growth for 72 h of incubation. The optimization of aeration (1.0 vvm) and agitation (150 rpm) rates enhanced the chromate reduction by about 40% at 72 h fermentation. Thermo-pressure pathogenic DNA degradation was achieved at 90 °C and 5868 Pa for 10 min.

Conclusions

Successful chromium reduction and total elimination of ARGs from effluent. A two-step treatment train was proposed for chromium reduction in the environment, which should be incorporated by the existing leather industries running on conventional treatment units.

Graphical Abstract

Predicting cytotoxicity of binary pollutants towards a human cell panel in environmental water by experimentation and deep learning methods

Biological assays are useful in water quality evaluation by providing the overall toxicity of chemical mixtures in environmental waters. However, it is impossible to elucidate the source of toxicity and some lethal combination of pollutants simply using biological assays. As facile and cost-effective methods, computation model-based toxicity assessments are complementary technologies. Herein, we predicted the human health risk of binary pollutant mixtures (i.e., binary combinations of As(III), Cd(II), Cr(VI), Pb(II) and F(I)) in water using in vitro biological assays and deep learning methods. By employing a human cell panel containing human stomach, colon, liver, and kidney cell lines, we assessed the human health risk mimicking cellular responses after oral exposures of environmental water containing pollutants. Based on the experimental cytotoxicity data in pure water, multi-task deep learning was applied to predict cellular response of binary pollutant mixtures in environmental water. Using additive descriptors and single pollutant toxicity data in pure water, the established deep learning model could predict the toxicity of most binary mixtures in environmental water, with coefficient of determination (R²) > 0.65 and root mean squared error (RMSE) < 0.22. Further combining the experimental data on synergistic and antagonistic effects of pollutant mixtures, deep learning helped improve the predictive ability of the model (R² > 0.74 and RMSE <0.17). Moreover, predictive models allowed us identify a number of toxicity source-related physiochemical properties. This study illustrates the combination of experimental findings and deep learning methods in the water quality evaluation.