Pub Date : 2017-03-31DOI: 10.20944/PREPRINTS201703.0231.V1
Jianbo Yang, Xin Li, Qunyi Liu
This paper assumes that China's economy will be developing high, medium and low scenarios, and forecasts economic and social indicators such as total GDP, population and per capita GDP in China from 2016 to 2030. Then, predicted the demand of copper resources in China from 2016 to 2030 by the combination of system dynamics model, ARIMA model prediction and inverted U-type empirical model. The results show that: China's copper demand growth slowed down significantly from 2016-2030. From 2025-2030, China's copper resource demand is stable, into the platform of demand growth. 2030 years later, China's copper resource dem and will enter a slow decline.
{"title":"China's Copper Demand Forecasting Based on System Dynamics Model: 2016-2030","authors":"Jianbo Yang, Xin Li, Qunyi Liu","doi":"10.20944/PREPRINTS201703.0231.V1","DOIUrl":"https://doi.org/10.20944/PREPRINTS201703.0231.V1","url":null,"abstract":"This paper assumes that China's economy will be developing high, medium and low scenarios, and forecasts economic and social indicators such as total GDP, population and per capita GDP in China from 2016 to 2030. Then, predicted the demand of copper resources in China from 2016 to 2030 by the combination of system dynamics model, ARIMA model prediction and inverted U-type empirical model. The results show that: China's copper demand growth slowed down significantly from 2016-2030. From 2025-2030, China's copper resource demand is stable, into the platform of demand growth. 2030 years later, China's copper resource dem and will enter a slow decline.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82706186","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}
Pub Date : 2017-01-01DOI: 10.12783/issn.1544-8053/14/1/20
Hsi-Jien Chen, Chia-Wei Lin Meng-Shiou Lee Gia-Luen Guo Po-Hsun Lin, T. Ma
The aim of this study was to screen and isolate soil bacteria capable of conducting xylose and glucose aerobic biotransformation. Four bacterial strains were isolated from green onions field and identified as Arthrobacter species IL01, IL02, IL03 and IL04. The maximum specific growth rates of IL01, IL02, IL03 and IL04 during xylose fermentation are 0.076, 0.094, 0.128 and 0.088 hr–1, respectively. Those four strains also present the ability to simultaneously conduct glucose and xylose biotransformation. This study indicated that the aerobic bacterial strains isolated could provide a potential bioprocess for bioenergy production in the future.
{"title":"A Study of Simultaneous Xylose and Glucose Biodegradation by Arthrobacter Species Isolated from Soil","authors":"Hsi-Jien Chen, Chia-Wei Lin Meng-Shiou Lee Gia-Luen Guo Po-Hsun Lin, T. Ma","doi":"10.12783/issn.1544-8053/14/1/20","DOIUrl":"https://doi.org/10.12783/issn.1544-8053/14/1/20","url":null,"abstract":"The aim of this study was to screen and isolate soil bacteria capable of conducting xylose and glucose aerobic biotransformation. Four bacterial strains were isolated from green onions field and identified as Arthrobacter species IL01, IL02, IL03 and IL04. The maximum specific growth rates of IL01, IL02, IL03 and IL04 during xylose fermentation are 0.076, 0.094, 0.128 and 0.088 hr–1, respectively. Those four strains also present the ability to simultaneously conduct glucose and xylose biotransformation. This study indicated that the aerobic bacterial strains isolated could provide a potential bioprocess for bioenergy production in the future.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"44 1","pages":"161-170"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73647853","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}
Pub Date : 2017-01-01DOI: 10.12783/ISSN.1544-8053/14/1/30
H. Mao, Ning Yang Jun Steed Huang Zhiqiang Zuo, Y. Ya
High-precision and miniature biosensors are in urgent demand with respect to the organophosphorus pesticides used extensively in agriculture, especially for Chlorpyrifos. In this study, the novel CuFe2O4-Graphene Quantum Dots (CuFe2O4/ GQDs) Magnetic Nano-Particles (MNPs) was prepared to amplify color signal as peroxidase mimetic using one-step hydrothermal method with electrostatic adsorption. Further combined with well-designed microfluidic chip containing enzyme inhibition reaction, color reaction and UV spectrophotometric detection areas, a colorimetric biosensor was developed based on CuFe2O4/GQDs for Chlorpyrifos determination. Experimental results of the biosensor displayed a linear range from 3.2 × 10–8 M to 6 × 10–7 M with a correlation coefficient of 0.99258 under the optimized conditions, and the Limit of Detection (LOD) of 1.07 × 10–8 M based on S/N = 3 and the sensitivity of 855.26 (absorbance) per 1 mM. Great advantages have been exhibted in the Microfluidic colorimetric biosensor due to the small volume, and high precision for determination of low concentrations of organophosphorus pesticides, largely simplifying the tedious operation and lowing LOD, which is great benefit to the further development of low-cost, portable and high-precision biosensors.
农业中广泛使用的有机磷农药，特别是毒死蜱，迫切需要高精度微型生物传感器。本研究采用静电吸附一步水热法制备了新型CuFe2O4-石墨烯量子点(CuFe2O4/ GQDs)磁性纳米粒子(MNPs)，作为过氧化物酶模拟物放大颜色信号。进一步结合设计好的含有酶抑制反应、显色反应和紫外分光光度检测区域的微流控芯片，开发了基于CuFe2O4/GQDs的毒死蜱比色生物传感器。实验结果显示的生物传感器的线性范围从3.2×M可达6×10 - 7米的相关系数0.99258结果在优化条件下,和检测极限(LOD) 1.07×换M基于S / N = 3和855.26的敏感性(吸光度)/ 1毫米。伟大的优势一直在exhibted微流控比色生物传感器由于体积小,精度高,测定低浓度有机磷农药,大大简化了繁琐的操作和低LOD，这对于进一步发展低成本、便携和高精度的生物传感器是非常有利的。
{"title":"A Microfluidic Colorimetric Biosensor for Chlorpyrifos Determination based on Peroxidase-like CuFe2O4/GQDs Magnetic Nanoparticles","authors":"H. Mao, Ning Yang Jun Steed Huang Zhiqiang Zuo, Y. Ya","doi":"10.12783/ISSN.1544-8053/14/1/30","DOIUrl":"https://doi.org/10.12783/ISSN.1544-8053/14/1/30","url":null,"abstract":"High-precision and miniature biosensors are in urgent demand with respect to the organophosphorus pesticides used extensively in agriculture, especially for Chlorpyrifos. In this study, the novel CuFe2O4-Graphene Quantum Dots (CuFe2O4/ GQDs) Magnetic Nano-Particles (MNPs) was prepared to amplify color signal as peroxidase mimetic using one-step hydrothermal method with electrostatic adsorption. Further combined with well-designed microfluidic chip containing enzyme inhibition reaction, color reaction and UV spectrophotometric detection areas, a colorimetric biosensor was developed based on CuFe2O4/GQDs for Chlorpyrifos determination. Experimental results of the biosensor displayed a linear range from 3.2 × 10–8 M to 6 × 10–7 M with a correlation coefficient of 0.99258 under the optimized conditions, and the Limit of Detection (LOD) of 1.07 × 10–8 M based on S/N = 3 and the sensitivity of 855.26 (absorbance) per 1 mM. Great advantages have been exhibted in the Microfluidic colorimetric biosensor due to the small volume, and high precision for determination of low concentrations of organophosphorus pesticides, largely simplifying the tedious operation and lowing LOD, which is great benefit to the further development of low-cost, portable and high-precision biosensors.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"135 1","pages":"255-269"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79517832","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}
Pub Date : 2017-01-01DOI: 10.12783/ISSN.1544-8053/14/S1/15
Y. Xing, Bo Zhang Xiaoguang Zhou Ludi Wang Zhenwei You, Mengke Yang
City water demand forecasting is of great significance in reducing the cost of electricity consumption and municipal planning. Back-propagation (BP) neural network has been widely adopted in water demand forecasting in recent years. But BP performs unsatisfactorily in terms of training time and global searching ability, so in this paper we improve BP by two heuristic algorithms, namely, genetic algorithm (GA) and particle swarm optimization (PSO), respectively. The testing and verification of the three algorithms (BP, GA+BP, PSO+BP) have been conducted on real-life water demand forecasting of Beijing city. The obtained results demonstrate that, in spite of the execution time consumed, both GA+BP and PSO+BP performed with higher accuracy and less errors than BP. The obtained results also illustrate that PSO+BP slightly outperformed GA+BP in terms of forecasting accuracy.
{"title":"City Water Demand Forecasting Based on Improved BP Neural Network","authors":"Y. Xing, Bo Zhang Xiaoguang Zhou Ludi Wang Zhenwei You, Mengke Yang","doi":"10.12783/ISSN.1544-8053/14/S1/15","DOIUrl":"https://doi.org/10.12783/ISSN.1544-8053/14/S1/15","url":null,"abstract":"City water demand forecasting is of great significance in reducing the cost of electricity consumption and municipal planning. Back-propagation (BP) neural network has been widely adopted in water demand forecasting in recent years. But BP performs unsatisfactorily in terms of training time and global searching ability, so in this paper we improve BP by two heuristic algorithms, namely, genetic algorithm (GA) and particle swarm optimization (PSO), respectively. The testing and verification of the three algorithms (BP, GA+BP, PSO+BP) have been conducted on real-life water demand forecasting of Beijing city. The obtained results demonstrate that, in spite of the execution time consumed, both GA+BP and PSO+BP performed with higher accuracy and less errors than BP. The obtained results also illustrate that PSO+BP slightly outperformed GA+BP in terms of forecasting accuracy.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78160700","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}
Pub Date : 2017-01-01DOI: 10.12783/ISSN.1544-8053/14/1/16
R. Zhao, M. Y. S. J. Q. Z. Y. F. Ou, D. Liu
This paper applies an emission factor approach to measuring the PM2.5 (particulate matter suspended in the atmosphere with diameter ≤ 2.5 μm) emissions from industrial sources in Chengdu. The results show that the PM2.5 emissions from industrial sources are 12,264.14 tons in 2013, of that, 3257.76 tons, or 26.56% of the total, are from stationary combustion source. Industrial processes accounts for the remaining 9006.38 tons, or 73.44% of PM2.5 emissions. The Districts of Qing Baijiang, Pengzhou, Jintang, and Du Jiangyan are the principal areas to contribute industrial emissions in Chengdu, whilst the corresponding industries are cement, steel, fertilizer, and coal-fired electricity. The study is expected to provide insight into the emissions reduction, and the improvement of air quality in Chengdu. Limitations of the assessment are addressed to lay out a foundation for further study.
{"title":"An Investigation of PM2.5 from Regional Industries in Chengdu, China","authors":"R. Zhao, M. Y. S. J. Q. Z. Y. F. Ou, D. Liu","doi":"10.12783/ISSN.1544-8053/14/1/16","DOIUrl":"https://doi.org/10.12783/ISSN.1544-8053/14/1/16","url":null,"abstract":"This paper applies an emission factor approach to measuring the PM2.5 (particulate matter suspended in the atmosphere with diameter ≤ 2.5 μm) emissions from industrial sources in Chengdu. The results show that the PM2.5 emissions from industrial sources are 12,264.14 tons in 2013, of that, 3257.76 tons, or 26.56% of the total, are from stationary combustion source. Industrial processes accounts for the remaining 9006.38 tons, or 73.44% of PM2.5 emissions. The Districts of Qing Baijiang, Pengzhou, Jintang, and Du Jiangyan are the principal areas to contribute industrial emissions in Chengdu, whilst the corresponding industries are cement, steel, fertilizer, and coal-fired electricity. The study is expected to provide insight into the emissions reduction, and the improvement of air quality in Chengdu. Limitations of the assessment are addressed to lay out a foundation for further study.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"13 1","pages":"121-133"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72809526","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}
Pub Date : 2017-01-01DOI: 10.12783/ISSN.1544-8053/14/1/33
Hongwei Liu, Fei Wang, Jia Liu
In order to clarify the effect of nitrogen-water mist two-phase flow on extinguishing spontaneous combustion of residual coal, experiments were carried out in similarity model of mine goaf by using self-designed device. The experimental results indicated that the average cooling rates of 1–6# K type thermocouple temperatures in goaf were 24.6°C/min, 8.3°C/min, 4.2°C/min, 12.3°C/min, 8.1°C/min and 19.2°C/min during the period of 55–80 min when nitrogen-water mist was applied to combustion area. After the application of nitrogen-water mist, the consumption rate of O2 in the experiment was reduced from 3.16 × 10–4 m3/s to 1.41 × 10–4 m3/s; the generation rates of CO, CO2 were reduced from 3.91 × 10–5 m3/s, 1.74 × 10–4 m3/s to 1.69 × 10–6 m3/s, 6.57 × 10–6 m3/s, respectively; the generation rate of H2 was reduced from 1.41 × 10–5 m3/s to 3.6 × 10–8 m3/s; the emission rate of CH4 was reduced from 1.05 × 10–5 m3/s to 7.78 × 10–7 m3/s. The experimental results suggested that nitrogen-water mist could effectively suppress the burning of coal and reduce the generation amount of toxic and harmful gas in mine goaf.
{"title":"Experimental Study on Extinguishing Spontaneous Combustion of Residual Coal in Goaf by Nitrogen-water Mist two-phase Flow","authors":"Hongwei Liu, Fei Wang, Jia Liu","doi":"10.12783/ISSN.1544-8053/14/1/33","DOIUrl":"https://doi.org/10.12783/ISSN.1544-8053/14/1/33","url":null,"abstract":"In order to clarify the effect of nitrogen-water mist two-phase flow on extinguishing spontaneous combustion of residual coal, experiments were carried out in similarity model of mine goaf by using self-designed device. The experimental results indicated that the average cooling rates of 1–6# K type thermocouple temperatures in goaf were 24.6°C/min, 8.3°C/min, 4.2°C/min, 12.3°C/min, 8.1°C/min and 19.2°C/min during the period of 55–80 min when nitrogen-water mist was applied to combustion area. After the application of nitrogen-water mist, the consumption rate of O2 in the experiment was reduced from 3.16 × 10–4 m3/s to 1.41 × 10–4 m3/s; the generation rates of CO, CO2 were reduced from 3.91 × 10–5 m3/s, 1.74 × 10–4 m3/s to 1.69 × 10–6 m3/s, 6.57 × 10–6 m3/s, respectively; the generation rate of H2 was reduced from 1.41 × 10–5 m3/s to 3.6 × 10–8 m3/s; the emission rate of CH4 was reduced from 1.05 × 10–5 m3/s to 7.78 × 10–7 m3/s. The experimental results suggested that nitrogen-water mist could effectively suppress the burning of coal and reduce the generation amount of toxic and harmful gas in mine goaf.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"278 1","pages":"287-297"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76569591","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}
Pub Date : 2017-01-01DOI: 10.12783/ISSN.1544-8053/14/1/36
Cao Qun, Zhou Benjun
In present study, Response Surface Methodology (RSM) was used to optimize Cd (II) uptake by Saccharomyces cerevisiae biomass, the prediction model for Cd (II) uptake capacity using S. cerevisiae biomass was developed, and the analysis of variance (ANOVA) implied the model was significant. The maximum absorbing capacity of 22.05 mg/g was predicted at 30 mg/L Cd (II), 0.8 g/L biomass, 28.57°C, pH 5.51 and 3.0 h of contact time using the desirability function. Both Langmuir and Freundlich equations are suitable for describing biosorption isotherm.
{"title":"Application of Response Surface Methodology (RSM) for Optimization of Cd (II) Uptake by Saccharomyces Cerevisiae Biomass","authors":"Cao Qun, Zhou Benjun","doi":"10.12783/ISSN.1544-8053/14/1/36","DOIUrl":"https://doi.org/10.12783/ISSN.1544-8053/14/1/36","url":null,"abstract":"In present study, Response Surface Methodology (RSM) was used to optimize Cd (II) uptake by Saccharomyces cerevisiae biomass, the prediction model for Cd (II) uptake capacity using S. cerevisiae biomass was developed, and the analysis of variance (ANOVA) implied the model was significant. The maximum absorbing capacity of 22.05 mg/g was predicted at 30 mg/L Cd (II), 0.8 g/L biomass, 28.57°C, pH 5.51 and 3.0 h of contact time using the desirability function. Both Langmuir and Freundlich equations are suitable for describing biosorption isotherm.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"45 1","pages":"311-317"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88400972","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}
Pub Date : 2017-01-01DOI: 10.12783/issn.1544-8053/14/1/44
Y. Lei, W. Cao
In this work, N,N-di(2-ethylhexyl)-2,2,3,3,4,4,4-heptafluorobutanamide (DEHFBA) was synthesized for the extraction of UO2 2+ from nitric acid media. IR spectroscopy, 1H-NMR and 19F-NMR were applied to characterize the synthesized DEHFBA. The effects of diluents, extractants, metal ions and nitric acid acidity on the extraction distribution ratios of uranium extraction and extraction rate have been investigated. Under optimum conditions, compared with N,N-di(2-ethylhexyl)butanamide (DEHBA) and tributyl phosphate (TBP), DEHFBA shows much better irradiation stability and extraction performance for UO2 2+ from nitric acid media at low acidity.
{"title":"Extraction of UO2 2+ with N,N-di(2-ethylhexyl)-2,2,3,3,4,4,4- heptafluorobutanamide from Nitric Acid Media","authors":"Y. Lei, W. Cao","doi":"10.12783/issn.1544-8053/14/1/44","DOIUrl":"https://doi.org/10.12783/issn.1544-8053/14/1/44","url":null,"abstract":"In this work, N,N-di(2-ethylhexyl)-2,2,3,3,4,4,4-heptafluorobutanamide (DEHFBA) was synthesized for the extraction of UO2 2+ from nitric acid media. IR spectroscopy, 1H-NMR and 19F-NMR were applied to characterize the synthesized DEHFBA. The effects of diluents, extractants, metal ions and nitric acid acidity on the extraction distribution ratios of uranium extraction and extraction rate have been investigated. Under optimum conditions, compared with N,N-di(2-ethylhexyl)butanamide (DEHBA) and tributyl phosphate (TBP), DEHFBA shows much better irradiation stability and extraction performance for UO2 2+ from nitric acid media at low acidity.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"1 1","pages":"371-377"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88845513","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}
Pub Date : 2017-01-01DOI: 10.12783/ISSN.1544-8053/14/S1/8
Zhang Naiyan, Deng Yufeng, L. Yadong, Xu Yue, Wujun Ting, Wang Jinhe
{"title":"Experimental Research on Insulation Technology by Plastic Greenhouse in Sewage Treatment Plant of Northeast Region","authors":"Zhang Naiyan, Deng Yufeng, L. Yadong, Xu Yue, Wujun Ting, Wang Jinhe","doi":"10.12783/ISSN.1544-8053/14/S1/8","DOIUrl":"https://doi.org/10.12783/ISSN.1544-8053/14/S1/8","url":null,"abstract":"","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83175548","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}
Pub Date : 2017-01-01DOI: 10.12783/ISSN.1544-8053/14/1/46
Changqing Zhao, G. Shu, Qinhuan Yang
This study investigates the ability of enzyme technology to treat organics in tannery effluent. Three bacteria strains were tested for their ability to remove organic matter in tannery effluent, and the active sites of the respective enzymes were determined. Subsequently, the active enzymes that remove organics were extracted from the three strains and tested for the optimal activity of tannery effluent under different temperatures, pHs, concentrations, and incubation times. The results demonstrated that all three strains (Bacillus subtilis, Bacillus cereus, and Bacillus fusiformis) are able to remove organics in the tannery effluent. The active enzyme of Bacillus subtilis is an intracellular enzyme, whereas the active enzymes for Bacillus cereus and Bacillus spindle are extracellular enzymes. At pH 7, Bacillus subtilis and Bacillus cereus can, respectively, remove 37.79% and 35.34% of the organic waste in tannery water at 40°C. Bacillus fusiformis can remove up to 49.60% of the organic waste when the incubation time is extended to 8 h. The enzyme concentration is fixed at 2 × 10–4g for all conditions. In this study, enzyme technology provides a novel approach for organic removal in a tannery effluent treatment, and it has the potential to be combined with other methods in the future.
{"title":"Enzymatic Treatment of Organics in Tannery Effluent","authors":"Changqing Zhao, G. Shu, Qinhuan Yang","doi":"10.12783/ISSN.1544-8053/14/1/46","DOIUrl":"https://doi.org/10.12783/ISSN.1544-8053/14/1/46","url":null,"abstract":"This study investigates the ability of enzyme technology to treat organics in tannery effluent. Three bacteria strains were tested for their ability to remove organic matter in tannery effluent, and the active sites of the respective enzymes were determined. Subsequently, the active enzymes that remove organics were extracted from the three strains and tested for the optimal activity of tannery effluent under different temperatures, pHs, concentrations, and incubation times. The results demonstrated that all three strains (Bacillus subtilis, Bacillus cereus, and Bacillus fusiformis) are able to remove organics in the tannery effluent. The active enzyme of Bacillus subtilis is an intracellular enzyme, whereas the active enzymes for Bacillus cereus and Bacillus spindle are extracellular enzymes. At pH 7, Bacillus subtilis and Bacillus cereus can, respectively, remove 37.79% and 35.34% of the organic waste in tannery water at 40°C. Bacillus fusiformis can remove up to 49.60% of the organic waste when the incubation time is extended to 8 h. The enzyme concentration is fixed at 2 × 10–4g for all conditions. In this study, enzyme technology provides a novel approach for organic removal in a tannery effluent treatment, and it has the potential to be combined with other methods in the future.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"10 1","pages":"387-391"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90577691","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}
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