Bioremediation Science and Technology Research最新文献_第5页

Addendum: Aisami and Gusmanizar. Characterization of an Acrylamide-degrading Bacterium Isolated from Hydrocarbon Sludge. Bioremediation Science and Technology Research, 2019, Vol 7, No 2, 15-19. 附录:Aisami和Gusmanizar。烃类污泥中丙烯酰胺降解菌的特性研究。生物修复科技研究，2019,Vol . 7, No . 2, 15-19。

Bioremediation Science and Technology Research Pub Date : 2020-12-28 DOI: 10.54987/bstr.v8i2.541

Abubakar Aisami, N. Gusmanizar, M. Shukor

{"title":"Addendum: Aisami and Gusmanizar. Characterization of an Acrylamide-degrading Bacterium Isolated from Hydrocarbon Sludge. Bioremediation Science and Technology Research, 2019, Vol 7, No 2, 15-19.","authors":"Abubakar Aisami, N. Gusmanizar, M. Shukor","doi":"10.54987/bstr.v8i2.541","DOIUrl":"https://doi.org/10.54987/bstr.v8i2.541","url":null,"abstract":"One of the authors has been unintentionally left out and the list of authors and affiliation should be added as follows. \u0000Abubakar Aisami 1* Neni Gusmanizar2 and Mohd Yunus Shukor3 \u00001Department of Biochemistry, Gombe State University, P.M.B. 127, Tudun Wada, \u0000Gombe, Gombe State, Nigeria. \u00002Department of Animal Nutrition, Faculty of Animal Science, Andalas University, \u0000Padang, 25163, Indonesia. \u0000Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. \u0000 \u0000*Corresponding author address \u0000Dr Abubakar Aisami \u0000Department of Biochemistry, \u0000Gombe State University, \u0000P.M.B. 127, Tudun Wada, \u0000Gombe, Gombe State, \u0000Nigeria. \u0000Emel: abubakar.aisami05@gmail.com \u0000 The Acknowledgement section (p.19) has been left out, and it should be added as follows. \u0000 Acknowledgment \u0000 We acknowledge the help of Mr Kesavan in isolating the bacterium and the late Dr Neni Gusmanizar (author) who helped to identify the bacterium, of which this manuscript is dedicated to her.","PeriodicalId":436607,"journal":{"name":"Bioremediation Science and Technology Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129432886","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}

引用次数: 0

Growth Mathematical Modelling of the Effect of Cyanide on Pseudomonas putida (Naun-16) 氰化物对恶臭假单胞菌(Naun-16)影响的生长数学模型

Bioremediation Science and Technology Research Pub Date : 2020-07-31 DOI: 10.54987/bstr.v8i1.513

M. Abdulrasheed, I. Hussein, I. Ahmad, M. Namadina, F. Muhammad, S. Ibrahim

{"title":"Growth Mathematical Modelling of the Effect of Cyanide on Pseudomonas putida (Naun-16)","authors":"M. Abdulrasheed, I. Hussein, I. Ahmad, M. Namadina, F. Muhammad, S. Ibrahim","doi":"10.54987/bstr.v8i1.513","DOIUrl":"https://doi.org/10.54987/bstr.v8i1.513","url":null,"abstract":"Gold mining companies have been known to use cyanide to extract gold from minerals. The indiscriminate use of cyanide presents a major issue in the environment. The used of linearisation methods using natural logarithm transformation is inaccurate, even though is standard and can just give an estimated value for the sole parameter measured; the specific growth rate. In this study, various cyanide concentrations ranging from 0 - 350 mg/L was used. Seven different mathematical models such as such as modified Logistics, modified Gompertz, modified Richards, modified Schnute, Baranyi-Roberts, Von Bertalanffy and most recent Huang were used to get values for the above constants or parameters from bacterial growth Pseudomonas putida on cyanide. The best model was found to be modified Logistics with the lowest AICc and RMSE value. The modified Logistics parameters such as Ymax (bacterial growth upper asymptote), Î» (lag time), Âµmax (maximum specific bacterial growth rate) and A or Y0 (bacterial growth lower asymptote) were found to be 2.41 (95% confidence interval of 2.37 - 2.45), -3.16 (95% confidence interval of -4.64 to -1.68) and 0.12 (95% confidence interval of 0.11 to 0.13). This is the first report of growth mathematical modelling of the effect of cyanide on Pseudomonas Putida (Naun-16).","PeriodicalId":436607,"journal":{"name":"Bioremediation Science and Technology Research","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127525712","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}

引用次数: 2

Prediction of Cumulative Death Cases in Indonesia Due to COVID-19 Using Mathematical Models 利用数学模型预测印度尼西亚COVID-19累计死亡病例

Bioremediation Science and Technology Research Pub Date : 2020-07-31 DOI: 10.54987/bstr.v8i1.514

Abubakar Aisami, A. M. Umar, M. Shukor

{"title":"Prediction of Cumulative Death Cases in Indonesia Due to COVID-19 Using Mathematical Models","authors":"Abubakar Aisami, A. M. Umar, M. Shukor","doi":"10.54987/bstr.v8i1.514","DOIUrl":"https://doi.org/10.54987/bstr.v8i1.514","url":null,"abstract":"Different growth models such as Baranyi-Roberts, Von Bertalanffy, modified Gompertz, Morgan-Mercer-Flodin (MMF), modified Richards, modified Logistics and Huang utilized in fitting and analyzing the COVID-19 outbreak pattern showing the cumulative number of SARS-CoV-2 deaths in Indonesia as of 15 July 2020. Out of all the models tested MMF was found to be the best one considering its highest adjusted R2 and the lowest RMSE values. Parameter such Accuracy and Bias Factors were found to have values close to unity (1.0). Values generated from the MMF model includes the maximum growth of death rate (log) of 0.051 (95% CI from 0.34 to 0.49), the curve constant (d) that affects the inflexion point of 0.4212 (95% CI from 1.029 to 1.171), lower asymptote value ( b ) of -1.72 (95% CI from -2.53 to -1.22) and the maximal total number of death (ymax) of 889,201 (95% CI from 260,016 to 7,464,488). The MMF forecasted that the total death toll in Indonesia would be 5.315 (95 per cent CI from 5.079 to 5.562) and 6.857 (95 per cent CI from 6.450 to 7.289) on the 15th August and 15th September 2020 respectively. The prediction accuracy of the model used in this research article is a powerful tool for epidemiologists to monitor and evaluate the level the severity of COVID-19 in Indonesia in the coming months. Besides that, just like any other model, due to the intermittent nature of the COVID-19 dilemma both in the local and global context, these values must be considered with caution.","PeriodicalId":436607,"journal":{"name":"Bioremediation Science and Technology Research","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124805679","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}

引用次数: 3

Kinetics Modelling of Tributyltin Toxicity on The Growth of Bacillus stearothermophilus 三丁基锡对嗜热脂肪芽孢杆菌生长的毒性动力学模拟

Bioremediation Science and Technology Research Pub Date : 2020-07-31 DOI: 10.54987/bstr.v8i1.509

Abdussamad Abubakar, S. Ibrahim, Ilelah Kabiru Garba, A. Tanko, M. Abdulrasheed, A. Adamu, B. M. Mohammed, G. Uba

引用次数: 4

Inhibition of Streptococcus pneumoniae hyaluronidase by honeys of Malaysian origins 马来西亚蜂蜜对肺炎链球菌透明质酸酶的抑制作用

Bioremediation Science and Technology Research Pub Date : 2020-07-31 DOI: 10.54987/bstr.v8i1.474

Hanani Ahmad Yusof, Nurul Azahana Mohd Nayian

{"title":"Inhibition of Streptococcus pneumoniae hyaluronidase by honeys of Malaysian origins","authors":"Hanani Ahmad Yusof, Nurul Azahana Mohd Nayian","doi":"10.54987/bstr.v8i1.474","DOIUrl":"https://doi.org/10.54987/bstr.v8i1.474","url":null,"abstract":"Streptococcus pneumoniae, a major human pathogen causing meningitis, pneumonia and bacteraemia produce hyaluronidase as its virulence factor. This enzyme increase bacterial permeability to the host tissue by degrading hyaluronic acids that maintain the viscosity of connective tissues. Limited hyaluronidase inhibitor are available at the moment, thus lead us to identify potential hyaluronidase inhibitor from local products which is honeys. Three local honeys (Tualang, Kelulut and Gelam) have been selected and undergo hyaluronidase inhibition test through hyaluronic acids turbidity reduction assay. Honeys that show highest and lowest anti-hyaluronidase were analysed for flavonoid and phenolic content, to identify association between the contents and hyaluronidase inhibition rate. All honeys showed various degrees of inhibition against hyaluronidase of S. pneumoniae where honey with the highest anti-hyaluronidase activity is Kelulut with 18% inhibition while honey with the lowest anti-hyaluronidase activity is Gelam with 2% inhibition. Kelulut also demonstrated highest phenolic content, where significant association was found between the inhibition and the content. Therefore, this study supported the claim that higher phenolic contents indicate greater inhibitory activity on hyaluronidase enzyme. The findings suggest that local Malaysian honey have potential as hyaluronidase inhibitor which could be beneficial for future treatment against S. pneumoniae infections.","PeriodicalId":436607,"journal":{"name":"Bioremediation Science and Technology Research","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131388865","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}

引用次数: 0

Isolation and Characterization of a Molybdenum-reducing and Carbamate-degrading Bacillus amyloliquefaciens strain Neni-9 in soils from West Sumatera, Indonesia 印度尼西亚西苏门答腊岛土壤中一株还原钼和氨基甲酸酯降解解淀粉芽孢杆菌Neni-9的分离与特性研究

Bioremediation Science and Technology Research Pub Date : 2020-07-31 DOI: 10.54987/bstr.v8i1.511

.. Rusnam, N. Gusmanizar

引用次数: 4

Predictive Mathematical Modelling of the Total Number of COVID-19 Cases for The United States 美国COVID-19病例总数的预测数学模型

Bioremediation Science and Technology Research Pub Date : 2020-07-31 DOI: 10.54987/bstr.v8i1.510

H. Yakasai, M. Shukor

{"title":"Predictive Mathematical Modelling of the Total Number of COVID-19 Cases for The United States","authors":"H. Yakasai, M. Shukor","doi":"10.54987/bstr.v8i1.510","DOIUrl":"https://doi.org/10.54987/bstr.v8i1.510","url":null,"abstract":"The current global COVID-19 pandemic is causing a lot of deaths and economic losses worldwide. The modelling of future death and cases is a very important aspect of managing the severity of the pandemic. In this paper, we demonstrated potential use of various growth models like modified Gompertz, Von Bertalanffy, Baranyi-Roberts, modified Logistics, Morgan-Mercer-Flodin (MMF), modified Richards and Huang in modeling the epidemic trend of COVID-19 in the form of total number of infection cases of SARS-CoV-2 in the United States as at 20th July 2020. The Morgan-Mercer-Flodin (MMF) model showed best fitting to the data set with least RMSE and AICc and the highest adjusted R2 values. The values for Accuracy and Bias Factors were closest to 1.0. Despite this, further statistical diagnosis of the data showed nonnormality with the residuals failing the runs and homoscedasticity tests. Interestingly, this was addressed by remodeling the data from day 132 onwards using the MMF model, which results in improving the statistical diagnosis. The fitting coefficients obtained include maximum growth rate (logmm) of 0.03 (95% CI 0.023 - 0.039), curve constant (d) that affects the inflection point of 1.42 (95% CI 1.304 - 1.540), lower asymptote value (b) of 6.454 (95% CI 6.451 - 6.456) and maximal total number of cases (ymax) of 7,906,786 (95% CI 6,652,732 - 10,839,269). The MMF model predicted that by 20th of August 2020 the total number of cases in the United States will be 5,560,168 (95% CI of 5,295,337 - 5,838,243), while the Fig. will rise to 6,366,506 (95% CI of 5,791,751 - 6,998,298) by 20th of September 2020. The predictive potential of the utilized model makes it a powerful tool for epidemiologist monitoring the severity of SARS-CoV-2 (COVID-19) in the United States in the near future. Although, predictions from this model as with any other model, need to be taken with caution due to unpredictable nature of COVID-19 situation locally and globally.","PeriodicalId":436607,"journal":{"name":"Bioremediation Science and Technology Research","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121331841","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}

引用次数: 4

Decolourisation of Reactive Red 120 by a Heavy Metal-tolerant Bacterium Isolated from Juru River, Malaysia 马来西亚Juru河中一株耐重金属细菌对活性红120的脱色作用

Bioremediation Science and Technology Research Pub Date : 2020-07-31 DOI: 10.54987/bstr.v8i1.512

M. Manogaran, Baarathyee Manogaran, A. Othman, B. Gunasekaran, M. Shukor

{"title":"Decolourisation of Reactive Red 120 by a Heavy Metal-tolerant Bacterium Isolated from Juru River, Malaysia","authors":"M. Manogaran, Baarathyee Manogaran, A. Othman, B. Gunasekaran, M. Shukor","doi":"10.54987/bstr.v8i1.512","DOIUrl":"https://doi.org/10.54987/bstr.v8i1.512","url":null,"abstract":"Application of dyes is prevalent in industries involved in textile and food manufacturing. Effluent discharge from these industries to neighbouring water bodies cause significant health concerns due to dye toxicity. To date, only very few bacteria are isolated with the ability to completely assimilate dyes. The main objective of this study is to isolate bacteria(s) with the ability to utilise reactive red dye 120. Local strains were isolated from contaminated sites in Northern Malaysia. Based on 16S rDNA gene sequence analysis, the best strain was identified as Pseudomonas sp. strain DRY011. Optimum RR120 decolourisation was observed at 200 ppm with 71.07% removal rate within 5 days and able to tolerate up to 500 ppm. The effect of heavy metals (silver, arsenic, cadmium, chromium, copper, mercury, lead and zinc) were investigated. Mercury, 1 ppm had the highest inhibition effect, followed by zinc and silver, with decolourisation of 12 % and 14.3 % respectively. Chromium had the least effect with 55.6% decolourisation and bacterial growth of 11.5 CFU/mL. The rest of the heavy metal had the least effect on the decolourisation rate. As a conclusion, the finding of microbial degrader able to utilise dye will become crucial bioremediation key in controlling the level of dye wastes in water bodies.","PeriodicalId":436607,"journal":{"name":"Bioremediation Science and Technology Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122207941","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}

引用次数: 6

Characterization of an Acrylamide-degrading Bacterium Isolated from Hydrocarbon Sludge 烃类污泥中丙烯酰胺降解菌的特性研究

Bioremediation Science and Technology Research Pub Date : 2019-12-28 DOI: 10.54987/bstr.v7i2.487

Abubakar Aisami, N. Gusmanizar

{"title":"Characterization of an Acrylamide-degrading Bacterium Isolated from Hydrocarbon Sludge","authors":"Abubakar Aisami, N. Gusmanizar","doi":"10.54987/bstr.v7i2.487","DOIUrl":"https://doi.org/10.54987/bstr.v7i2.487","url":null,"abstract":"A major source of acrylamide in soil comes from herbicide formulation that contained polyacrylamide that slowly decomposes to acrylamide. Research in acrylamide biodegradation by microbe as a tool for its bioremediation is slowly gaining attention globally. In this research, a hydrocarbon-degrading Pseudomonas sp. strain Dr Y Kertih isolated from petroleum sludge was able to grow on acrylamide. The results show that 1% (w/v) glucose supplied with acrylamide (as the only nitrogen source) was the best carbon source for the growth of acrylamide-degrading bacterium. The isolate was also able to use diesel as a carbon source. The bacterium shows an optimal growth at 300 mg/L acrylamide, pH between pH 6.5 and 7.5 and temperature between 25 and 30 Â°C. The isolate was able to grow on amides such as acetamide and 2-chloroacetamide, but their growth was inhibited by toxic heavy metals such as mercury, cadmium and chromium. Growth kinetic studies using the Haldane model for growth indicated substrate toxicity at higher concentrations on acrylamide. The maximum growth rate (Âµmax) was 0.267 h-1 while the saturation constant or half velocity constant Ks and inhibition constant Ki, were 0.182 and 0.25 g/L, respectively. Thus, the bacterium holds great potential as a candidate to remediate acrylamide.","PeriodicalId":436607,"journal":{"name":"Bioremediation Science and Technology Research","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126712549","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}

引用次数: 12

Modelling the Growth Inhibition Kinetics of Rhodotorula sp. strain MBH23 (KCTC 11960BP) on Acrylamide 红霉菌菌株MBH23 (KCTC 11960BP)对丙烯酰胺的生长抑制动力学模拟

Bioremediation Science and Technology Research Pub Date : 2019-12-28 DOI: 10.54987/bstr.v7i2.488

A. Othman, M. Rahim

引用次数: 15