Microbial Sensing and Removal of Heavy Metals: Bioelectrochemical Detection and Removal of Chromium(VI) and Cadmium(II)

Alfadaly, Reham A.; Elsayed, Ashraf; Hassan, Rabeay Y. A.; Noureldeen, Ahmed; Darwish, Hadeer; Gebreil, Ahmed

doi:10.3390/molecules26092549

Cited by 34 publications

(21 citation statements)

References 58 publications

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“…PSIM biofilm biomass (cells/mL) the authors have reported immobilization and absorption of heavy metals by the EPS of Bacilli biofilm matrix as the principle behind this process of bioremediation [27,30]. The tolerance of Gram-negative bacteria Rhizobium toward Cr and Cd showed similar results as of our study where the microbes were able to tolerate the concentrations of 0.1 mg/mL and 1 mg/mL of heavy metals [31]. Similarly, in our study, PSIM biofilm possessed a higher ability to form EPS and to absorb the heavy metal with greater resistance, considering our Grampositive isolated microorganisms have a great potential in the removal of toxic heavy metals than the previously reported studies.…”

Section: Od At a 600 Psimsupporting

confidence: 84%

Ex-situ biofilm mediated approach for bioremediation of selected heavy metals in wastewater of textile industry

Kumar¹,

Shivani²,

Krishan³

et al. 2022

J App Biol biotech

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Industrialization plays a major role in strengthening the economy of any country. However, these industries directly or indirectly affect the environment. Industrial wastewater discharge has been reported with certain heavy metals such as chromium, lead, cobalt, and others which are a potential hazard to the water bodies and humans as well. Biofilm is an applied method in the fields of bioremediation for reliving this emerging problem and in the efficient removal of heavy metals from wastewater. Biofilms of Escherichia coli and petroleum soil isolated microorganisms (PSIM) were developed at the V bottom of 96 well microtiter plate. The contaminated water sample was collected from the textile industry, Solan, Himachal Pradesh, India. The biofilms were incubated with the industrial water tested for heavy metals assuming the microbes have the potential to assimilate the heavy metals up to 5 mg/mL of concentration. After the incubation for 1-2 weeks, the microorganisms were able to reduce the level of heavy metals present in the samples which was conveyed by biomass comparison of microorganisms in the successive intervals of time. 0.74 × 10 10 cells/mL and 0.77 × 10 10 cell/mL of E. coli and PSIM biofilms were able to tolerate the metal toxicity on incubation for 2 weeks at the highest concentration due to the functional group present extracellular polymeric substance which forms complexes with heavy metals. This leads to the fact that these biofilms have assimilated the heavy metals and are potent for the removal of heavy metals from industrial wastewater.

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Section: Od At a 600 Psimsupporting

confidence: 84%

Ex-situ biofilm mediated approach for bioremediation of selected heavy metals in wastewater of textile industry

Kumar¹,

Shivani²,

Krishan³

et al. 2022

J App Biol biotech

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“…Nanocomposites are materials (two or more phases) with different types or different structures engineered in nanoscale dimensions [ 21 , 84 ]. Use of nanocomposites (nanoparticles [ 85 ], nanosheets [ 86 ], or nanotubes [ 87 ]) is one of the most trending strategies in the development of impedimetric biosensors due to their unique electrochemical, mechanical, thermal, optical, and catalytic features.…”

Section: Nanocomposite-based Impedimetric Biosensorsmentioning

confidence: 99%

Electrochemical Impedance Spectroscopy (EIS): Principles, Construction, and Biosensing Applications

Magar

Hassan

Mulchandani

2021

Sensors

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604

238

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Electrochemical impedance spectroscopy (EIS) is a powerful technique used for the analysis of interfacial properties related to bio-recognition events occurring at the electrode surface, such as antibody–antigen recognition, substrate–enzyme interaction, or whole cell capturing. Thus, EIS could be exploited in several important biomedical diagnosis and environmental applications. However, the EIS is one of the most complex electrochemical methods, therefore, this review introduced the basic concepts and the theoretical background of the impedimetric technique along with the state of the art of the impedimetric biosensors and the impact of nanomaterials on the EIS performance. The use of nanomaterials such as nanoparticles, nanotubes, nanowires, and nanocomposites provided catalytic activity, enhanced sensing elements immobilization, promoted faster electron transfer, and increased reliability and accuracy of the reported EIS sensors. Thus, the EIS was used for the effective quantitative and qualitative detections of pathogens, DNA, cancer-associated biomarkers, etc. Through this review article, intensive literature review is provided to highlight the impact of nanomaterials on enhancing the analytical features of impedimetric biosensors.

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“…The potentiality of industrial effluents containing heavy metal ions, such as copper, chromium, lead, and nickel, toward the environment had been reported to be a cause of the virulent impact on a variety of living organisms (i.e., plants, animals, and human beings) ( Alotaibi et al, 2021 ). These metals can accumulate in tissues of animals, and also in the human body ( Alfadaly et al, 2021 ), causing disruption of cell membranes, lipid peroxidation, inhibition of oxidative phosphorylation, protein denaturation, and alteration of nucleic acids structures ( Xie et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Heavy Metals Biosorption via Artificial Neural Network: A Case Study of Cobalt (II) Sorption by Pseudomonas alcaliphila NEWG-2

et al. 2022

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The definitive screening design (DSD) and artificial neural network (ANN) were conducted for modeling the biosorption of Co(II) by Pseudomonas alcaliphila NEWG-2. Factors such as peptone, incubation time, pH, glycerol, glucose, K2HPO4, and initial cobalt had a significant effect on the biosorption process. MgSO4 was the only insignificant factor. The DSD model was invalid and could not forecast the prediction of Co(II) removal, owing to the significant lack-of-fit (P < 0.0001). Decisively, the prediction ability of ANN was accurate with a prominent response for training (R2 = 0.9779) and validation (R2 = 0.9773) and lower errors. Applying the optimal levels of the tested variables obtained by the ANN model led to 96.32 ± 2.1% of cobalt bioremoval. During the biosorption process, Fourier transform infrared spectroscopy (FTIR), energy-dispersive X-ray spectroscopy, and scanning electron microscopy confirmed the sorption of Co(II) ions by P. alcaliphila. FTIR indicated the appearance of a new stretching vibration band formed with Co(II) ions at wavenumbers of 562, 530, and 531 cm–1. The symmetric amino (NH2) binding was also formed due to Co(II) sorption. Interestingly, throughout the revision of publications so far, no attempt has been conducted to optimize the biosorption of Co(II) by P. alcaliphila via DSD or ANN paradigm.

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Microbial Sensing and Removal of Heavy Metals: Bioelectrochemical Detection and Removal of Chromium(VI) and Cadmium(II)

Cited by 34 publications

References 58 publications

Ex-situ biofilm mediated approach for bioremediation of selected heavy metals in wastewater of textile industry

Ex-situ biofilm mediated approach for bioremediation of selected heavy metals in wastewater of textile industry

Electrochemical Impedance Spectroscopy (EIS): Principles, Construction, and Biosensing Applications

Optimization of Heavy Metals Biosorption via Artificial Neural Network: A Case Study of Cobalt (II) Sorption by Pseudomonas alcaliphila NEWG-2

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