M. Shukor, M. Othman, K. I. Karamba, M. Halmi, M. F. Rahman, N. A. Yasid, S. Ahmad, H. Yakasai
{"title":"Isolation and characterization of molybdenum-reducing and PEG-degrading Enterobacter cloacae strain KIK-14 in agricultural soil from Nigeria","authors":"M. Shukor, M. Othman, K. I. Karamba, M. Halmi, M. F. Rahman, N. A. Yasid, S. Ahmad, H. Yakasai","doi":"10.54987/jemat.v5i1.414","DOIUrl":"https://doi.org/10.54987/jemat.v5i1.414","url":null,"abstract":"Today, numerous researches have demonstrated the cost-effectiveness of bioremediation to waste removal from agricultural and industrial sectors particularly at lower levels of the toxicants, where other physicochemical techniques are ineffective. Multiple toxicant remediation by a single microorganism is important for remediation of sites contaminated with numerous toxicants. In this work, a molybdenum-reducing bacterium was screened for its ability to use the xenobiotic polyethylene glycol (PEG) as the sole source of carbon for growth and as electron donor source for molybdate reduction. Biochemical analysis results in the tentative identification of the isolate as Enterobacter cloacae strain KIK-14. The use of PEGs as an electron donor in this bacterium did not support molybdenum-blue production, even though the bacterium grew well on PEGs 200, 300, 600 and 1000 independent of molybdate reduction. Reduction of molybdate to Mo-blue was optimal at pH between 6.0 and 6.3, the temperature between 25 and 37 oC, molybdate and phosphate concentrations between 15 and 20 mM and between 5.0 and 7.5 mM respectively. The best electron donor source supporting the reduction process was glucose. The Mo-blue absorption spectrum resembles reduced phosphomolybdate and is similar to that of the previous Mo-reducing bacterium. At 2 ppm of silver, mercury and copper, molybdenum reduction was inhibited by 41.5, 57.1 and 40.5%, respectively. The ability of this bacterium to detoxify mixed toxicants makes it an important tool for bioremediation.","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"02 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130642241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N.A.M. Asri, G. Begum, S. Ahmad, N. A. Yasid, M. Shukor
{"title":"A confidence interval comparison chart to assess the sensitivity of acetylcholinesterase from Hemibagrus nemurus as a source of enzyme for insecticides detection","authors":"N.A.M. Asri, G. Begum, S. Ahmad, N. A. Yasid, M. Shukor","doi":"10.54987/jemat.v5i1.416","DOIUrl":"https://doi.org/10.54987/jemat.v5i1.416","url":null,"abstract":"In this work, the potential of acetylcholinesterase (AChE) from Hemibagrus nemurus (Baung) as a sensitive tool to detect the presence of insecticides was assessed. The affinity partially purified fraction was utilized as a source of AChE for in vitro assay of the effect of insecticides on the AChE. The resultant IC50 values were then compared with published results. An IC50 confidence interval comparison chart coined Shukor’s chart was utilized to compare the sensitivity of the AChE from H. nemurus to various other published results. In this chart, the IC50 confidence interval (95%) values for a particular insecticide is placed at one end of the chart and lined up with published values of IC50. Two lines are then made crossing the entire chart and represent the 95% confidence interval value for H. nemurus. Any confidence interval values for targeted insecticides from published results that do not touch these two lines are deemed significantly different (p<0.05), either more or less sensitive judging whether they fall below or above the two lines, respectively, whilst any confidence interval values that fall in or touch the two lines are deemed comparable in sensitivity.The results show that the AChE from H. nemurus is more sensitive to diazinonoxon and comparable in sensitivity compared to commercial and other local fish sources suggesting that the ACHE from H. nemurus can be a cheaper alternative for the current commercially and locally available AChEs. ","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121101594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor
{"title":"Testing the normality of residuals on regression model for the growth of sludge microbes on PEG 600","authors":"M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor","doi":"10.54987/jemat.v3i1.242","DOIUrl":"https://doi.org/10.54987/jemat.v3i1.242","url":null,"abstract":"Polyethylene glycols (PEGs) are employed in numerous sectors. PEGs are nephrotoxic and their biodegradation by microbes could be a potential tool for bioremediation. Numerous bacterial growth studies neglect primary modelling even though modelling exercises can reveal important parameters. Previously, we have utilized several growth models to model the growth of sludge microbes on PEG 600. We discovered that the modified Gompertz model via nonlinear regression utilizing the least square method was the best model to describe the growth curve. However, the use of statistical tests to choose the best model relies heavily on the residuals of the curve to be statistically robust. Normality tests for the residuals used in this work has indicated that the use of the modified Gompertz model in fitting of the growth curve of the sludge microbes on PEG 600 initially was not adequate due to the presence of an outlier. Upon removal of this outlier, the residuals conformed to normality test, visually and statistically","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128442053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor
{"title":"Evaluation of several mathematical models for fitting the growth of sludge microbes on PEG 600","authors":"M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor","doi":"10.54987/jemat.v3i1.237","DOIUrl":"https://doi.org/10.54987/jemat.v3i1.237","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000 \u0000Polyethylene glycols (PEGs) are employed in numerous sectors. PEGs are nephrotoxic and their biodegradation by microbes could be a potential tool for bioremediation. Numerous bacterial growth studies neglect primary modelling even though modelling exercises can reveal important parameters. In this work we modelled the growth of the sludge microbes on PEG 600 based on available published work in the literature using several growth models such as modified logistic, modified Gompertz, modified Richards, modified Schnute, Baranyi-Roberts, Von Bertalanffy, Huang and the Buchanan three-phase linear model. Statistical analysis results indicated that the modified Gompertz model was the best with highest adjusted R2, lowest RMSE and AICc values and Bias and Accuracy Factor values closest to unity. The results from this work can be used in the further optimization works of this process in the future. \u0000 \u0000 \u0000 \u0000 \u0000","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125189084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor
{"title":"Test of randomness of residuals for the modified Gompertz model used in the fitting the growth of sludge microbes on PEG 600","authors":"M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor","doi":"10.54987/jemat.v3i1.240","DOIUrl":"https://doi.org/10.54987/jemat.v3i1.240","url":null,"abstract":"Polyethylene glycols (PEGs) are employed in numerous sectors. PEGs are nephrotoxic and their biodegradation by microbes could be a potential tool for bioremediation. Numerous bacterial growth studies neglect primary modelling even though modelling exercises can reveal important parameters. Previously, we have utilized several growth models to model the growth of sludge microbes on PEG 600. We discovered that the modified Gompertz model via nonlinear regression utilizing the least square method was the best model to describe the growth curve. Nonlinear regression using the least square method normally uses the assumption that data points do not depend on each other or the value of a data point is not dependent on the value of preceding or proceeding data points or do not exhibit autocorrelation. In this work, the Durbin–Watson statistic for the presence of autocorrelation in the growth model was carried out.","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133183386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor
{"title":"Outlier analysis of the modified Gompertz model used in fitting the growth of sludge microbes on PEG 600","authors":"M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Shukor","doi":"10.54987/jemat.v3i1.241","DOIUrl":"https://doi.org/10.54987/jemat.v3i1.241","url":null,"abstract":"Polyethylene glycols (PEGs) are employed in numerous sectors. PEGs are nephrotoxic and their biodegradation by microbes could be a potential tool for bioremediation. Numerous bacterial growth studies neglect primary modelling even though modelling exercises can reveal important parameters. Previously, we have utilized several growth models to model the growth of sludge microbes on PEG 600. We discovered that the modified Gompertz model via nonlinear regression utilizing the least square method was the best model to describe the growth curve. However, the use of statistical tests to choose the best model relies heavily on the residuals of the curve to be statistically robust. More often than not, the residuals must be tested for the presence of outliers (at 95 or 99% of confidence). In this work, the Grubb’s test to detect the presence of outlier in the growth model was carried out. The test detected an outlier. This datum point will be removed in all future statistical tests such as normality, runs test, tests for homoscedasticity and presence of autocorrelation. In addition, remodeling of the data using the modified Gompertz model will be carried out.","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133045318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Y. Shukor
{"title":"Test for the presence of autocorrelation in the modified Gompertz model used in the fitting the growth of sludge microbes on PEG 600","authors":"M. Halmi, M. S. Shukor, N. A. Masdor, N. A. Shamaan, M. Y. Shukor","doi":"10.54987/jemat.v3i1.238","DOIUrl":"https://doi.org/10.54987/jemat.v3i1.238","url":null,"abstract":"Polyethylene glycols (PEGs), are nephrotoxic, and are employed in numerous industrial sectors. Their biodegradation by microbes could be a potential tool for bioremediation. A lot of bacterial growth reports overlook primary modelling despite the fact that modelling exercises can expose important parameters. Earlier, we have employed several growth models to model the growth of sludge microbes on PEG 600. We found out that the modified Gompertz model via nonlinear regression utilizing the least square method was the most effective model to describe the growth curve. Nonlinear regression using the least square method generally utilizes the assumption that data points do not depend on each other or the value of a data point is not dependent on the value of preceding or proceeding data points or do not exhibit autocorrelation. In this work, the Durbin–Watson statistic to check for the presence of autocorrelation in the growth model was carried out.","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133481349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Test for the Presence of Autocorrelation in the Buchanan model used in the Fitting of the Growth of the Catechol-degrading Candida parapsilopsis","authors":"Shukor","doi":"10.54987/jemat.v2i2.167","DOIUrl":"https://doi.org/10.54987/jemat.v2i2.167","url":null,"abstract":"Catechol is a metabolic byproduct of phenol degradation by microbes. Its toxicity to human, mammals, insects and fishes has been long studied and its presence in the environment at toxic concentrations has been demonstrated. Fortunately there are microbes that could degrade catechol and can be used in bioremediation works. The growth of these microbes usually exhibit sigmoidal pattern due to the toxicity of the substrate. Previously, using the least square method in nonlinear regression, we report that the Buchanan three-phase model is the best model in fitting the growth of the yeast Candida parapsilopsis on this substrate. The ordinary least squares method relies heavily on several important assumptions such as residuals conformation to normal distribution, does not have outliers, is truly random, of equal variance (homoscedastic) and does not show autocorrelation. If all of these assumptions are satisfied, the test is said to be robust. In this work we perform statistical diagnosis test to test for the presence of autocorrelation as the growth model is time-dependent and many time-dependent curves shows evidence of autocorrelation. ","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115521996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Microplate Format for Characterizing the Growth of Molybdenum-reducing Bacteria","authors":"Shukor","doi":"10.54987/jemat.v2i2.164","DOIUrl":"https://doi.org/10.54987/jemat.v2i2.164","url":null,"abstract":"Molybdenum is toxic to ruminants and the process of spermatogenesis in catfish and mice. The bioremediation of heavy metals including molybdenum is being intensely studied. More efficient reducers are being isolated. An advantage of microbial molybdate reduction to molybdenum blue is the intense blue product absorbs wavelength strongly in the far red region whilst cells without the addition of molybdenum showed little absorption in this region. This means that no sample treatments such as centrifugation are needed and the readings can be taken straight away. In this work we developed a microplate or a microtiter plate assay for monitoring molybdenum blue production from a bacterium. The molybdenum blue produced when measured from a microplate gave about 2 times less absorbance intensity compared to measurement using a normal cuvette, but is adequate for characterization works as the absorbance obtained was 0.886 compared to 1.709 for measurement using cuvette. The development of microplate format for monitoring microbial reduction to molybdenum blue is simple to perform and would ensure works on the characterizations of novel molybdenum reducers can potentially be carried out in a few days instead of a few weeks.","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125939162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of Heavy Metals on Cyanide Biodegradation by Resting Cells of Serratia marcescens strain AQ07","authors":"K. K. Ibrahim","doi":"10.54987/jemat.v2i2.192","DOIUrl":"https://doi.org/10.54987/jemat.v2i2.192","url":null,"abstract":"Effect of heavy metals was tested on Serratia marcescens strain AQ07 (accession number: KP213291) to affirm its effect on growth and biodegradation of cyanide. 1 ppm of ten different heavy metals was experimented in-vitro in buffer medium containing 200 ppm potassium cyanide. They are: silver, arsenic, cadmium, cobalt, chromium, cupper, mercury, nickel, lead and zinc. The results obtained illustrates that mercury have significant effect on the growth (optical density 0.13) and biodegradation of cyanide removing only 24.7% compared to the control which has no incorporation of heavy metal (optical density 0.74 and 92% removal respectively) while others remove above 80%. Further studies on mercury reveal that it has significant effect on the bacteria even as low as 0.1 ppm. This illustrates that mercury can significantly hinder biodegradation of cyanide by Serratia marcescens strain AQ07.","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125749730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}