Desulfurization of hydrophilic and hydrophobic volatile reduced sulfur with elemental sulfur production in denitrifying bioscrubber

Induced ciprofloxacin biotransformation and antibiotic-resistance genes control in sulfate-reducing microbial fuel cells: Strategy and mechanism

Ciprofloxacin-containing saline wastewater treatment gains increasing attentions, due to the problems of limited degradation and spreading risk of antibiotic-resistance genes (ARGs). Sulfate reduction is a cost-efficient technology for simultaneous sulfate and antibiotic removal. The microbial fuel cell enhances removal of antibiotics and reduces spreading risk of ARGs in effluents, however, the biotransformation of ciprofloxacin (CIP) in sulfate-reducing microbial fuel cell (SR-MFC) remains unclear. Thus, a SR-MFC is established in this study for treatment of CIP-containing saline wastewater, which achieves simultaneous removal of CIP (50.2%), sulfate (85.1%), and ARGs (17.0%). The Desulfovibrio sp. bacteria become dominant in free biomass (58.8%) and biofilm (73.6%) after CIP exposing, respectively. The CIP can be utilized in prior to lactate for sulfate reduction, while the energy production is initially contributed to sulfate reduction followed by sulfide oxidation. Notably, the expression of ARGs declines probably due to enhanced biotransformation and limited adsorption (2.6%) of CIP on biomass after CIP addition. Long-term exposure to CIP enriches the ARGs of antibiotic efflux pump, implying some CIP is pumped out from intracellular to extracellular. A novel degradation pathway attacking the N15 site in piperazine may be the major and environmental-friendly biotransformation reaction, where the enzyme of ammonia-lyase and acetyltransferase are involved in. To our best knowledge, this is the first report of the novel pathway in bacterial CIP degradation system, which is known as fungal CIP biotransformation pathway. This study provides insights for CIP biotransformation in SR-MFC, and the operational strategy for antibiotic-containing saline wastewater treatment with ARGs control.

Application of artificial intelligence tools in wastewater and waste gas treatment systems: Recent advances and prospects

The non-linear complex relationships among the process variables in wastewater and waste gas treatment systems possess a significant challenge for real-time systems modelling. Data driven artificial intelligence (AI) tools are increasingly being adopted to predict the process performance, cost-effective process monitoring, and the control of different waste treatment systems, including those involving resource recovery. This review presents an in-depth analysis of the applications of emerging AI tools in physico-chemical and biological processes for the treatment of air pollutants, water and wastewater, and resource recovery processes. Additionally, the successful implementation of AI-controlled wastewater and waste gas treatment systems, along with real-time monitoring at the industrial scale are discussed.

Biochemical engineering for elemental sulfur from flue gases through multi-enzymatic based approaches - A review

Flue gases are the gases which are produced from industries related to chemical manufacturing, petrol refineries, power plants and ore processing plants. Along with other pollutants, sulfur present in the flue gas is detrimental to the environment. Therefore, environmentalists are concerned about its removal and recovery of resources from flue gases due to its activation ability in the atmosphere to transform into toxic substances. This review is aimed at a critical assessment of the techniques developed for resource recovery from flue gases. The manuscript discusses various bioreactors used in resource recovery such as hollow fibre membrane reactor, rotating biological contractor, sequential batch reactor, fluidized bed reactor, entrapped cell bioreactor and hybrid reactors. In conclusion, this manuscript provides a comprehensive analysis of the potential of thermotolerant and thermophilic microbes in sulfur removal. Additionally, it evaluates the efficacy of a multi-enzyme engineered bioreactor in this process. Furthermore, the study introduces a groundbreaking sustainable model for elemental sulfur recovery, offering promising prospects for environmentally-friendly and economically viable sulfur removal techniques in various industrial applications.

Determination of sulfide in complex biofilm matrices using silver-coated, 4-mercaptobenzonitrile-modified gold nanoparticles, encapsulated in ZIF-8 as surface-enhanced Raman scattering nanoprobe

A surface-enhanced Raman scattering nanoprobe has been developed for sulfide detection and applied to  complex bacterial biofilms. The nanoprobe, Au@4-MBN@Ag@ZIF-8, comprised a gold core modified with 4-mercaptobenzonitrile (4-MBN) as signaling source, a layer of silver shell as the sulfide sensitization material, and a zeolitic imidazolate framework-8 (ZIF-8) as surface barrier. ZIF-8, with its high surface area and mesoporous structure, was applied to preconcentrate sulfide around the nanoprobe with its excellent adsorption capacity. Besides, the external wrapping of ZIF-8 can not only prevent the interference of biomolecules, such as proteins, with the Au@4-MBN@Ag assay but also enhance the detection specificity through the sulfide cleavage function towards ZIF-8. These properties are critical for the application of this nanoprobe to complex environmental scenarios. In the presence of sulfide, it was first enriched through adsorption by the outer ZIF-8 layer, then destroyed the barrier layer, and subsequently reacted with the Ag shell, leading to changes in the Raman signal. Through this rational design, the Au@4-MBN@Ag@ZIF-8 nanoprobe exhibited excellent detection sensitivity, with a sulfide detection limit in the nanomolar range and strong linearity in the concentration range  50 nM to 500 μM. Furthermore, the proposed Au@4-MBN@Ag@ZIF-8 nanoprobe was effectively utilized for sulfide detection in intricate biofilm matrices, demonstrating its robust selectivity and reproducibility.