Bioremoval of toxic Molybdenum using dialysis tubing

Shukor, Mohd Shukri; Shukor, Mohd Yunus

doi:10.3329/cerb.v18i1.26215

Cited by 6 publications

(8 citation statements)

References 39 publications

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“…A concentration of copper at 1.0 mg/L leads to a complete cessation of reduction. This was also observed in many Mo-reduction works [32][33][34][35][36][37][38][39][40][41].…”

Section: Resultssupporting

confidence: 72%

“…2), which shows close fitting to the model with adjusted correlation coefficients of between 0.96 and 0.99 indicating good fittings. The modified Gompertz model has been successfully utilized to model Mo reduction in various bacteria [30,[41][42][43] and is much more accurate than the normal method of linearizing and otherwise sigmoidal model through log or natural log transformation. The model also shows that as the concentration of copper was increased, this led to a decrease in Mo reduction rates and an increase in the lag period as well.…”

Section: Resultsmentioning

confidence: 99%

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Modelling the Effect of Copper on the Mo-reduction Rate of the Antarctic Bacterium Pseudomonas sp. strain DRY1

Rahman¹,

Ahmad²,

MacCormack³

et al. 2017

J Environ Microbiol Toxicol

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Molybdenum reduction by the Antarctic bacterium Pseudomonas sp. strain DRY1 is strongly inhibited by copper. Mo reduction by this bacterium at 10 mM sodium molybdate shows a sigmoidal pattern with lag periods ranging from 7 to 10 h at various concentrations of copper. As the concentration of copper was increased, the overall Mo reduction rate was inhibited with 1.2 mg/L causing the cessation of Mo reduction rate. The modified Gompertz model was utilized to obtain Mo reduction rates at different concentrations of copper. The Mo reduction rates obtained from the modified Gompertz model was then modelled according to the modified Han-Levenspiel, Wang, Liu, modified Andrews and the Amor models. Out of the five models, only Wang, modified Han-Levenspiel and the Liu models were able to fit the curve, whilst the modified Andrews and Amor models were unable to fit the curves. Both the Wang and modified Han-Levenspiel models show acceptable fitting while the Liu model shows poor fitting. Results of the statistical analysis showed that the modified Han-Levenspiel model was the best model based on the lowest values for RMSE and AICc, highest adjusted correlation coefficient (adR2) and values of AF and BF closest to unity. The parameters obtained from the modified Han Levenspiel model, which were Ccrit, ïmax and m which represent critical heavy metal ion concentration (mg/l), maximum reduction rate (nmole Mo blue/h) and empirical constant values were 0.225 (95%, confidence interval from 0.198 to 0.251), 1.200 (95%, confidence interval from 1.180 to 1.220) and 0.443 (95%, confidence interval from 0.261 to 0.626). The modified Han-Levenspiel accurately predicted the critical copper concentration that completely inhibited molybdenum reduction rate in this bacterium.

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“…A concentration of copper at 1.0 mg/L leads to a complete cessation of reduction. This was also observed in many Mo-reduction works [32][33][34][35][36][37][38][39][40][41].…”

Section: Resultssupporting

confidence: 72%

Section: Resultsmentioning

confidence: 99%

Modelling the Effect of Copper on the Mo-reduction Rate of the Antarctic Bacterium Pseudomonas sp. strain DRY1

Rahman¹,

Ahmad²,

MacCormack³

et al. 2017

J Environ Microbiol Toxicol

Self Cite

View full text Add to dashboard Cite

show abstract

“…The molybdenum reduction to molybdenum blue is a detoxification process, whereas the production of Mo-blue is a growth-associated process [66,67,90,[94][95][96]102,109,131,149,150]. Various approaches to reduction modeling have been previously used [151], including logistic [144,152], Gompertz [144,153], Richards [144,154], Schnute [144], , von Bertalanffy [156,157], Buchanan three-phase [158], and the Huang model, which was used most recently [159] (Table 1) to model Mo-blue production from bacteria.…”

Section: Mathematical Modelling Of Molybdenum Reduction Profile and Kineticsmentioning

confidence: 99%

Microbiological Reduction of Molybdenum to Molybdenum Blue as a Sustainable Remediation Tool for Molybdenum: A Comprehensive Review

Yakasai

Rahman

Manogaran

et al. 2021

IJERPH

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Molybdenum (Mo) microbial bioreduction is a phenomenon that is beginning to be recognized globally as a tool for the remediation of molybdenum toxicity. Molybdenum toxicity continues to be demonstrated in many animal models of spermatogenesis and oogenesis, particularly those of ruminants. The phenomenon has been reported for more than 100 years without a clear understanding of the reduction mechanism, indicating a clear gap in the scientific knowledge. This knowledge is not just fundamentally important—it is specifically important in applications for bioremediation measures and the sustainable recovery of metal from industrial or mine effluent. To date, about 52 molybdenum-reducing bacteria have been isolated globally. An increasing number of reports have also been published regarding the assimilation of other xenobiotics. This phenomenon is likely to be observed in current and future events in which the remediation of xenobiotics requires microorganisms capable of degrading or transforming multi-xenobiotics. This review aimed to comprehensively catalogue all of the characterizations of molybdenum-reducing microorganisms to date and identify future opportunities and improvements.

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“…In addition to bioremediation of molybdenum and potential recycling of molybdenum from industrial effluents, this colloidal form can be trapped in membranes such as dialysis tubing. [30,31]. We revisited our previous works with the molybdate-reducing bacterium Serratia marcescens strain DRY6 local isolate [32] by introducing more sampling locations for the rapid biomonitoring tool for heavy metals.…”

Section: Introductionmentioning

confidence: 99%

Rapid Biomonitoring of Heavy Metals in Polluted Sites Using Xenoassay®-Metal

Rahman

Manogaran

Shukor

2022

J Environ Microbiol Toxicol

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Long-term water contamination, including heavy metals, may harm the reputation of the location. Because of this, it is necessary to do regular water quality checks. In light of the high expense of instrument monitoring, biomonitoring based on enzymes is rapidly gaining popularity around the world. For the purpose of this investigation, a molybdenum-reducing enzyme from the Serratia marcescens strain DRY6 that is sensitive to the heavy metals was used to build a quick inhibitory enzyme assay. The bacterium's molybdenum-reducing activity is extremely vulnerable to heavy metals. With the help of the established assay, heavy metals were detected in water samples collected in Malacca, Penang, and Perak. A number of sampling locations in Penang were found to be inhibiting enzyme activity, while all sampling locations in Malacca and Penang were confirmed to be free of high heavy metal concentrations. The Malaysian Department of Environment has set a maximum permissible limit for the suppression of Mo-reducing enzyme activity in Penang. Detection of heavy metals can be done in less than ten min at room temperature. The entire procedure takes less than 20 min. a first screening procedure or even a near real-time method for routine monitoring of heavy metals, assay is quick and straightforward.

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Bioremoval of toxic Molybdenum using dialysis tubing

Cited by 6 publications

References 39 publications

Modelling the Effect of Copper on the Mo-reduction Rate of the Antarctic Bacterium Pseudomonas sp. strain DRY1

Modelling the Effect of Copper on the Mo-reduction Rate of the Antarctic Bacterium Pseudomonas sp. strain DRY1

Microbiological Reduction of Molybdenum to Molybdenum Blue as a Sustainable Remediation Tool for Molybdenum: A Comprehensive Review

Rapid Biomonitoring of Heavy Metals in Polluted Sites Using Xenoassay®-Metal

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