Journal of Chemical Engineering and Industrial Biotechnology最新文献_第4页

KINETIC STUDY OF PALM OIL MILL EFFLUENT (POME) TREATMENT BY ACTIVATED SLUDGE 活性污泥处理棕榈油厂废水的动力学研究

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2019-05-01 DOI: 10.15282/JCEIB.V5I1.3895

W. L. Wun, G. K. Chua, S. Y. Chin, N. Zainol

{"title":"KINETIC STUDY OF PALM OIL MILL EFFLUENT (POME) TREATMENT BY ACTIVATED SLUDGE","authors":"W. L. Wun, G. K. Chua, S. Y. Chin, N. Zainol","doi":"10.15282/JCEIB.V5I1.3895","DOIUrl":"https://doi.org/10.15282/JCEIB.V5I1.3895","url":null,"abstract":"Kinetic parameter is a basis for design and optimization of activated sludge POME treatment. In fact, most of the kinetic parameter value used in design and optimization are default values taken from municipal wastewater. The kinetic parameters for POME treatment have not been thoroughlystudied and most of the system is using the Activated Sludge Models (ASM), either in modelling or design. Thus, the kinetic study of POME treatment by activated sludge system were carried out to obtain the kinetic parameters for the POME treatment plant design calculation.In this study, POME treatment was carriedout in batch studiesinto 14 L aeration tank with activated sludge for the biological oxidation process with optimum pH at 6.5 ± 0.1, MLVSS of 2000 ± 200 mg/Lfor HRT of 48 h and feeding with 650 ± 20 mg BOD3/L of anaerobic treated POME, while SRT was controlled at a range of 10 days to 20 days with interval of 2 days for the kinetic study experiment. From this kinetic study, the kinetic parameters for COD and BOD basis had been determined for maximum yields coefficient (Y), endogenous decay coefficient (kd), maximum specific substrate utilization rate (k) and half-velocity constant (Ks) at 0.2369 mg VSS/mg COD, 0.1060 day-1, 2.2717 day 1 and 758.7705 mg/L for COD basis whilst the kinetic parameters value for BOD basis were 0.6718 mg VSS/mg BOD3, 0.0658 day-1, 1.4136 day-1 and 556.1526 mg/L, respectively. Since the BOD is one of the discharge parameters in discharge regulatory, thus kinetic parameters for BOD basis will be used for the system design of POME treatment.","PeriodicalId":235976,"journal":{"name":"Journal of Chemical Engineering and Industrial Biotechnology","volume":"04 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127179048","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: 1

TWO LEVEL FACTORIAL SCREENING OF MICROWAVE-ASSISTED EXTRACTION PARAMETERS FOR THE RECOVERY OF PHENOLIC COMPOUNDS FROM VERNONIA CINEREA LEAF 微波辅助提取牛蒡叶中酚类化合物的两水平析因筛选

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2019-03-01 DOI: 10.15282/JCEIB.V5I1.3887

O. R. Alara, N. H. Abdurahman, J. A. Alara

{"title":"TWO LEVEL FACTORIAL SCREENING OF MICROWAVE-ASSISTED EXTRACTION PARAMETERS FOR THE RECOVERY OF PHENOLIC COMPOUNDS FROM VERNONIA CINEREA LEAF","authors":"O. R. Alara, N. H. Abdurahman, J. A. Alara","doi":"10.15282/JCEIB.V5I1.3887","DOIUrl":"https://doi.org/10.15282/JCEIB.V5I1.3887","url":null,"abstract":"Vernonia cinerea is one of the medicinal plants with several potentials for treating different ailments. In the present study, Microwave-assisted extraction (MAE) was employed in extracting phenolics compounds from this plant. However, different factors that affect this extraction method in the recovery of phenolics compounds abound, these factors need to be screened to determine actual contributing factor in order to minimize cost. Irradiation time (1-5 min), ethanol concentration (20-60% v/v), microwave power (40-80 W), extraction temperature (40-80 oC), and feed/solvent (1:10 - 1:18 g/mL) have been screened using two-factorial design for the recoveries of phenolic compounds from V. cinerea leaves. The results obtained in this study indicated that only microwave power, ethanol concentration, irradiation time and feed/solvent contributed to recoveries of total phenolic content (TPC) and total flavonoid content (TFC) from V. cinerea leaves. Thus, these factors at these ranges can be further optimized to obtain optimal yields of phenolic compounds from V. cinerea leaves.","PeriodicalId":235976,"journal":{"name":"Journal of Chemical Engineering and Industrial Biotechnology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125725486","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

AN EXPERIMENTAL STUDY OF SHATKORA (CITRUS MACROPTERA) IN A TRAY DRYER : EFFECT ON DRYING KINETICS AND PRODUCT QUALITY 大翅目柑橘在托盘干燥机中的实验研究:对干燥动力学和产品质量的影响

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2019-03-01 DOI: 10.15282/jceib.v5i1.3898

M. R. Uddin, Syeada Nelima Akter, Shahriar Pervez, Thurga Devi Munusamy, M. Khan

引用次数: 0

PEFORMANCE EVALUATION OF PETROCHEMICAL WASTEWATER FED AIR-CATHODE MICROBIAL FUEL CELLS USING YEAST BIOCATALYST 使用酵母生物催化剂的石化废水空气阴极微生物燃料电池性能评价

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3881

S. Sumaya, Ideris Asmida, S. Y. Chin, C. K. Cheng, M. Khan

{"title":"PEFORMANCE EVALUATION OF PETROCHEMICAL WASTEWATER FED AIR-CATHODE MICROBIAL FUEL CELLS USING YEAST BIOCATALYST","authors":"S. Sumaya, Ideris Asmida, S. Y. Chin, C. K. Cheng, M. Khan","doi":"10.15282/jceib.v4i1.3881","DOIUrl":"https://doi.org/10.15282/jceib.v4i1.3881","url":null,"abstract":"This paper presents the performance of air-cathode microbial fuel cell (AC-MFC) treating the petrochemical wastewater (PCW) from acrylic acid plant. The wastewater which is typically incinerated and possesses very high chemical oxygen demand (COD) due to presence of acrylic acid along with other organic acids. The goal of the present study is to evaluate the viability of treating the wastewater using yeast (Saccharomyces cerevisiae) as biocatalyst in AC-MFC for simultaneous treatment of wastewater and electricity generation. This study demonstrates that Saccharomyces cerevisiae could function as a good biocatalyst producing high power density of 0.24 W/m3 using PCW with an initial COD of 26,000 mg/L. The COD removal efficiency and the columbic efficiency (CE) were found as 38% and 23.6% respectively. The electron transfer process across the electrode/biofilm/solution interface was analyzed by electrochemical impedance spectroscopy (EIS). The present work demonstrates the potential of MFC for the treatment of acrylic acid plant PCW using Saccharomyces cerevisiae as biocatalyst.","PeriodicalId":235976,"journal":{"name":"Journal of Chemical Engineering and Industrial Biotechnology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127452351","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

SUPERCRITICAL WATER GASIFICATION AS A TREATMENT FOR LABORATORY ORGANIC WASTE 超临界水气化处理实验室有机废物

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3880

Asim Aslam, F. Twaiq

{"title":"SUPERCRITICAL WATER GASIFICATION AS A TREATMENT FOR LABORATORY ORGANIC WASTE","authors":"Asim Aslam, F. Twaiq","doi":"10.15282/jceib.v4i1.3880","DOIUrl":"https://doi.org/10.15282/jceib.v4i1.3880","url":null,"abstract":"The thermodynamics of supercritical water gasification (SCWG) was studied in order to determine its potential for treatment of laboratory liquid organic waste. A thermodynamic model based on the minimization of Gibbs energy was developed in Aspen Plus software that simulated the SCWG of liquid lab organic wastes on an ash free basis. The feed stream contained a mixture of aliphatic (hexane), oxygenated (acetone, ethyl acetate,ethyl ether, isopropyl alcohol and methanol), aromatic (toluene and xylene) and chlorinated hydrocarbons (chloroform and dichloromethane). The showed that a pressure of 25 MPa, low organic material concentration of 5-10% in the feed and temperatures over 600oC, SCWG resulted in hydrogen rich syngas aith a trace amount of HCI in the liquid effluent. High conversion rates were obtained for oxygenated hydrocarbons having destruction and removal efficiency (DRE) greater than 99.99% with the rest of the compound having a 100% DRE. The composition of the gaseous stream was found to be such that the gas could be released safely to the atmosphere or be stored at high pressure. The study established a proof of concept that there is potential for laboratories to use this method to deal with organic lab wastes with the SCWG process effluent that is environmental friendly.","PeriodicalId":235976,"journal":{"name":"Journal of Chemical Engineering and Industrial Biotechnology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133183530","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: 1

GC-MS ANALYSIS OF BIOACTIVE CONSTITUENTS OF JASMINE FLOWER 茉莉花中生物活性成分的Gc-ms分析

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3883

H. Rassem, A. Nour, M. YunusR.

引用次数: 2

OPTIMIZATION OF BETA-SITOSTEROL EXTRACTION FROM LEUCAENALEUCOCHEPALA BY MICROWAVE ASSISTED HYDRODISTILLATION 微波辅助加氢蒸馏法提取白蜡烯-谷甾醇的工艺优化

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3879

Hashim Norlaili, Ahmad Noormazlinah, A. Sakinah, A. Maria-Pilar

{"title":"OPTIMIZATION OF BETA-SITOSTEROL EXTRACTION FROM LEUCAENALEUCOCHEPALA BY MICROWAVE ASSISTED HYDRODISTILLATION","authors":"Hashim Norlaili, Ahmad Noormazlinah, A. Sakinah, A. Maria-Pilar","doi":"10.15282/jceib.v4i1.3879","DOIUrl":"https://doi.org/10.15282/jceib.v4i1.3879","url":null,"abstract":"Microwave-assisted hydrodistillatlion (MAH) extraction process can extract phytosterol (beta-sitosterol) from Leucaena leucochepala. The suitable parameter of the extraction process to extract the highest yield of phytosterol srom a plant can be optimized by using central composit design (CCCD). Two parameters extraction process were studied which are duration of time (4 to 8 minutes) and solvent ethanol concentration (55%-95%) to gain the highest yield of extracted beta-sitosterol from Leucaena leucochepala. The Liebermann-Burchard analysis was used to analyse phytosterol content in the extracted from the samples. The CCD model parameter was significant because of the values for Prob>F is less tahn 0.0500 which are 0.006 and value lack of fit F-value which is 5.44 represent only 6.77% chances to occur failure. This indicated the CCD with duration of extraction and the ethanol solvent concentration is the optimum parameter for the extraction of beta-sitosterol (phytosterol) from Leucaena leucochepala legume pod with the highest yield of phytosterol of 0.2717 mg/mL at 75% ethanol and 6 minutes.","PeriodicalId":235976,"journal":{"name":"Journal of Chemical Engineering and Industrial Biotechnology","volume":"17 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571462","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

SYSTEMATIC METHODOLOGY FOR THE DESIGN OF BINARY SOLVENT BLENDS FOR EXTRACTION OF HERBAL PHYTOCHEMICALS WITH COST EVALUATION 二元溶剂共混萃取植物化学成分的系统方法设计及成本评估

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3884

S. N. H. Mohammad Azmin, M. S. Mat Nor

引用次数: 0

INCORPORATION OF HUMAN FACTORS IN RISK ANALYSIS OF OIL AND GAS PIPELINE USING BAYESIAN NETWORK 基于贝叶斯网络的油气管道风险分析中人为因素的引入

Journal of Chemical Engineering and Industrial Biotechnology Pub Date : 2018-09-01 DOI: 10.15282/JCEIB.V4I1.3740

F. A. Alaw, N. Sulaiman, Henry Tan

{"title":"INCORPORATION OF HUMAN FACTORS IN RISK ANALYSIS OF OIL AND GAS PIPELINE USING BAYESIAN NETWORK","authors":"F. A. Alaw, N. Sulaiman, Henry Tan","doi":"10.15282/JCEIB.V4I1.3740","DOIUrl":"https://doi.org/10.15282/JCEIB.V4I1.3740","url":null,"abstract":"Billions of barrels of oil and gas are consumed around the world daily and these oil and gas are being mainly transported and distributed through pipelines. The pipelines are demonstrably safe and are reliable systems to transport hydrocarbons, owing to the combination of good design, materials, and operating practices. However, if the pipeline fail, it is one of the most frustrating issues as its significant adverse would impact environment and public safety as well as severe economic loss. The objective of this study is to construct a cause and effect relationship framework of pipeline failure due to human factor using Bayesian Network (BN) approach. The potential human factors of the pipeline failure linked to corrosion were identified and categorized into three categories that are maintenance, monitoring, and operational errors. The predictive and diagnosis analyses of the Bayesian Network were performed to find the casual links which cause the failure in the system and make a prediction of the control measures to reduce the rate of the human mistakes. Results revealed that operational error showed a significant effect when the system operates beyond the limits of its design. In conclusion, Bayesian Networks appear to be a solution to build an effective oil and gas pipeline human error management model by providing information about the important human error that needs to be controlled. Thus, this framework may assist the decision maker to decide when and where to take preventive or mitigate measures in the risk management process of a pipeline.","PeriodicalId":235976,"journal":{"name":"Journal of Chemical Engineering and Industrial Biotechnology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127582109","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: 1