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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
Pub Date : 2019-05-01 DOI: 10.15282/JCEIB.V5I1.3895
W. L. Wun, G. K. Chua, S. Y. Chin, N. Zainol
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.
动力学参数是活性污泥POME处理工艺设计和优化的依据。实际上,设计和优化中使用的动力学参数值大多是城市污水的默认值。POME处理的动力学参数尚未得到深入研究,大多数系统在建模或设计中都使用活性污泥模型(ASM)。为此,开展了活性污泥系统处理POME的动力学研究,获得了POME处理厂设计计算所需的动力学参数。在本研究中,POME在14 L曝气池中分批进行生物氧化处理,最佳pH为6.5±0.1,MLVSS为2000±200 mg/L, HRT为48 h,投喂650±20 mg BOD3/L厌氧处理后的POME, SRT控制在10 ~ 20天范围内,间隔2天进行动力学研究实验。通过动力学研究,确定了COD和BOD基在0.2369 mg VSS/mg COD、0.1060 d -1、2.2717 d -1和758.7705 mg/L时的最大产率系数(Y)、内源衰变系数(kd)、最大比底物利用率(k)和半速度常数(Ks), BOD基的动力学参数值分别为0.6718 mg VSS/mg BOD3、0.0658 d -1、1.4136 d -1和556.1526 mg/L。由于BOD是排放调节中的排放参数之一,因此将以BOD为基础的动力学参数用于POME处理的系统设计。
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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
Pub Date : 2019-03-01 DOI: 10.15282/JCEIB.V5I1.3887
O. R. Alara, N. H. Abdurahman, J. A. Alara
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.
Vernonia cinerea是一种具有治疗多种疾病潜力的药用植物。本研究采用微波辅助提取法(MAE)从该植物中提取酚类化合物。然而,影响该提取方法回收酚类化合物的因素很多,需要对这些因素进行筛选,确定实际影响因素,以最大限度地降低成本。采用双因子设计筛选辐照时间(1 ~ 5 min)、乙醇浓度(20 ~ 60% v/v)、微波功率(40 ~ 80 W)、提取温度(40 ~ 80℃)、料溶剂比(1:10 ~ 1:18 g/mL)对灰葡萄叶中酚类化合物的回收率进行了筛选。结果表明,微波功率、乙醇浓度、辐照时间和饲料/溶剂对灰葡萄叶中总酚含量(TPC)和总黄酮含量(TFC)的回收率有影响。因此,在这些范围内,这些因素可以进一步优化,以获得最佳产率的灰葡萄叶酚类化合物。
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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
Pub Date : 2019-03-01 DOI: 10.15282/jceib.v5i1.3898
M. R. Uddin, Syeada Nelima Akter, Shahriar Pervez, Thurga Devi Munusamy, M. Khan
Citrus macroptera is a citrus fruit locally known as Shatkora and the fruit of this plant were used for various purposes especially for cooking and also as an odorant in perfume industries.In this research work, Shatkora peel was dried using a laboratory scale tray dryer. The experimental work was conducted at an inlet temperature of 40–60°C and velocities from 0.5–0.9 m/s. Besides, the thickness of the layer was varied between 2– 10 mm. The results demonstrated that the rate of drying was increased accordingly with rise in both air temperature and air velocity however a decreased in layer thickness was noticed. At high air temperature, moisture content of solid achieved equilibrium state within short period of time. On the other hand, moisture diffusivity of Shatkora was evaluated by applying Fick’s second law and the value was varied from 1.78 × 10-8 to 2.83 × 10-7. In  addition, activation energy was determined by using Arrhenius type relation and 19.70 kJ/mol was obtained.
大翅柑橘是一种柑橘类水果,在当地被称为Shatkora,这种植物的果实被用于各种目的,特别是烹饪,也作为香水工业的气味剂。在这项研究工作中,使用实验室规模托盘干燥机干燥夏克拉果皮。实验工作在进口温度40-60℃,速度0.5-0.9 m/s的条件下进行。此外,层厚在2 ~ 10 mm之间变化。结果表明,随着空气温度和风速的升高,干燥速率相应增加,而层厚则减小。在较高的空气温度下,固体含水率在短时间内达到平衡状态。另一方面,利用菲克第二定律评价了夏可拉的水分扩散系数,其值在1.78 × 10-8 ~ 2.83 × 10-7之间变化。利用Arrhenius型关系确定了活化能,得到了19.70 kJ/mol。
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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
Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3881
S. Sumaya, Ideris Asmida, S. Y. Chin, C. K. Cheng, M. Khan
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.
介绍了空气阴极微生物燃料电池(AC-MFC)处理丙烯酸厂石油化工废水的性能。由于丙烯酸和其他有机酸的存在,通常焚烧的废水具有非常高的化学需氧量(COD)。本研究的目的是评估在AC-MFC中使用酵母(Saccharomyces cerevisiae)作为生物催化剂同时处理废水和发电的可行性。本研究表明,在初始COD为26000 mg/L的PCW条件下,酿酒酵母可以作为一种良好的生物催化剂,产生0.24 W/m3的高功率密度。COD去除率为38%,哥伦比亚效率为23.6%。利用电化学阻抗谱(EIS)分析了电极/生物膜/溶液界面上的电子传递过程。本研究证明了MFC处理以酿酒酵母为生物催化剂的丙烯酸装置PCW的潜力。
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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
Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3880
Asim Aslam, F. Twaiq
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.
研究了超临界水气化(SCWG)的热力学,以确定其处理实验室液体有机废物的潜力。在Aspen Plus软件中建立了基于吉布斯能量最小化的热力学模型,模拟了实验室液体有机废物在无灰分的基础上的SCWG。进料流中含有脂肪烃(己烷)、氧合烃(丙酮、乙酸乙酯、乙醚、异丙醇和甲醇)、芳香烃(甲苯和二甲苯)和氯化烃(氯仿和二氯甲烷)的混合物。结果表明,在25 MPa的压力、5 ~ 10%的原料浓度和600℃以上的温度条件下,SCWG可制得富氢合成气,出水中含有微量HCI。结果表明,含氧烃的转化率高,其破坏和去除效率(DRE)大于99.99%,其余化合物的DRE为100%。人们发现,这种气体的组成可以安全地释放到大气中,或者在高压下储存起来。该研究建立了一个概念证明,即实验室有可能使用这种方法处理有机实验室废物,并使用环境友好的SCWG工艺废水。
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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
Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3883
H. Rassem, A. Nour, M. YunusR.
Gas Chromatography-Mass Spectrometry (GC-MS) the best technique to identified the compounds of essential oils by comparison of mass spectra data obtained from the sample with that taken from pure commercially available standards injected under the same conditions. To characterize the chemical constituents of Hibiscus Flower using GC-MS, the shade dried flower powder was extracted with methanol by using Microwave-assisted Hydrodistillation (MAHD). The GC-MS analysis provided different peaks determining the presence of ten compounds. These compounds havebiological activity namely 2-Phenylthiolane (57.31%), Cyclohexene, 3-ethenyl- (25.91%), Acetaldehyde (12.70%), N-Methylallylamine (9.99%),  ropanamide (6.79%) and Phthalic acid, bis (7-methyloctyl) ester (5.21%). From the results, it can be concluded that Jasmine flower extract shows the presence of 10 phytocompounds. The presence of various bioactive compounds justifies the use of the jasmine flower for various ailments by traditional practitioners.
气相色谱-质谱联用(GC-MS)是鉴定精油化合物的最佳技术,通过比较从样品中获得的质谱数据与在相同条件下从市售纯标准品中获得的质谱数据。为了对木槿花的化学成分进行气相色谱-质谱分析,采用微波辅助加氢蒸馏法(MAHD)对木槿花干粉进行甲醇提取。GC-MS分析提供了不同的峰,确定了10种化合物的存在。这些化合物的生物活性分别为2-苯基硫烷(57.31%)、环己烯、3-乙烯基-(25.91%)、乙醛(12.70%)、n -甲基烯丙胺(9.99%)、罗帕酰胺(6.79%)和邻苯二甲酸双(7-甲基辛基)酯(5.21%)。结果表明,茉莉花提取物中含有10种植物化合物。各种生物活性化合物的存在证明了传统从业者使用茉莉花治疗各种疾病的合理性。
{"title":"GC-MS ANALYSIS OF BIOACTIVE CONSTITUENTS OF JASMINE FLOWER","authors":"H. Rassem, A. Nour, M. YunusR.","doi":"10.15282/jceib.v4i1.3883","DOIUrl":"https://doi.org/10.15282/jceib.v4i1.3883","url":null,"abstract":"Gas Chromatography-Mass Spectrometry (GC-MS) the best technique to identified the compounds of essential oils by comparison of mass spectra data obtained from the sample with that taken from pure commercially available standards injected under the same conditions. To characterize the chemical constituents of Hibiscus Flower using GC-MS, the shade dried flower powder was extracted with methanol by using Microwave-assisted Hydrodistillation (MAHD). The GC-MS analysis provided different peaks determining the presence of ten compounds. These compounds havebiological activity namely 2-Phenylthiolane (57.31%), Cyclohexene, 3-ethenyl- (25.91%), Acetaldehyde (12.70%), N-Methylallylamine (9.99%),  ropanamide (6.79%) and Phthalic acid, bis (7-methyloctyl) ester (5.21%). From the results, it can be concluded that Jasmine flower extract shows the presence of 10 phytocompounds. The presence of various bioactive compounds justifies the use of the jasmine flower for various ailments by traditional practitioners.","PeriodicalId":235976,"journal":{"name":"Journal of Chemical Engineering and Industrial Biotechnology","volume":"276 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":"121823623","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
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
Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3879
Hashim Norlaili, Ahmad Noormazlinah, A. Sakinah, A. Maria-Pilar
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.
微波辅助加氢蒸馏(MAH)提取工艺可以从银杏中提取植物甾醇(β -谷甾醇)。采用中心组合设计(CCCD)对提取工艺参数进行优化,以获得植物甾醇的最高收率。研究了提取时间(4 ~ 8 min)和溶剂乙醇浓度(55% ~ 95%)为提取条件,以获得最佳的白桉中-谷甾醇提取率。利伯曼-伯查德分析用于分析样品中提取的植物甾醇含量。CCD模型参数具有显著性,因为Prob>F的值小于0.0500,为0.006,而缺乏拟合的F值为5.44,仅代表发生故障的可能性为6.77%。结果表明,采用CCD提取时间和乙醇溶剂浓度为最佳提取工艺,在75%乙醇条件下,提取时间为6 min,提取率可达0.2717 mg/mL。
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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
Pub Date : 2018-09-01 DOI: 10.15282/jceib.v4i1.3884
S. N. H. Mohammad Azmin, M. S. Mat Nor
The trial and error solvent selection method to obtain herbal phytochemicals is time consuming and limited by effort and cost. The combination of property prediction models with computer-assisted search is one way to overcome these drawbacks. Thus, the main objective of this work is to present a computer-aided methodology for the design of solvent blends in extracting herb phytochemicals optimally with cost evaluation. The methodology can be summarised into two main stages, namely, model-based design and experimental-verification stages. The result discussed in this paper is only for the first stage. The extraction of kaempferol from Kacip Fatimah herb is used as a base case study that follows all of the listed tasks. Five optimal binary solvent blends have been identified namely, methanol:isobutyraldehyde (M:IB), methanol:n-propionaldehyde (M:PP), methanol:water (M:W), methanol: ethyl acetate (M:EA) and methanol: acetic acid (M:AA). The M:IB solvent blend is able to extract the highest kaempferol yield while M:PP gives the highest profit.
采用试错溶剂法提取植物化学成分耗时长,且受精力和成本的限制。将属性预测模型与计算机辅助搜索相结合是克服这些缺点的一种方法。因此,本工作的主要目的是提出一种计算机辅助方法,用于设计最佳提取草药植物化学物质的溶剂混合物并进行成本评估。该方法可以概括为两个主要阶段,即基于模型的设计和实验验证阶段。本文所讨论的结果仅适用于第一阶段。从Kacip Fatimah草药中提取山奈酚被用作基础案例研究,遵循所有列出的任务。确定了五种最佳二元溶剂混合物,即甲醇:异丁醛(M:IB)、甲醇:正丙醛(M:PP)、甲醇:水(M:W)、甲醇:乙酸乙酯(M:EA)和甲醇:乙酸(M:AA)。M:IB溶剂混合萃取山奈酚得率最高,而M:PP溶剂混合萃取利润最高。
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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
Pub Date : 2018-09-01 DOI: 10.15282/JCEIB.V4I1.3740
F. A. Alaw, N. Sulaiman, Henry Tan
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.
全球每天消耗数十亿桶石油和天然气,这些石油和天然气主要通过管道运输和分配。由于结合了良好的设计、材料和操作实践,这些管道是安全可靠的碳氢化合物运输系统。然而,如果管道发生故障,将会对环境和公共安全造成严重的不利影响,并造成严重的经济损失,这是最令人沮丧的问题之一。本研究的目的是利用贝叶斯网络(BN)方法构建管道人为因素失效的因果关系框架。确定了与腐蚀有关的管道故障的潜在人为因素,并将其分为维护、监控和操作错误三类。通过对贝叶斯网络进行预测和诊断分析,发现引起系统故障的偶然环节,并对控制措施进行预测,以降低人为错误率。结果表明,当系统运行超出其设计极限时,操作误差显示出显着的影响。总之,通过提供需要控制的重要人为错误的信息,贝叶斯网络似乎是建立有效的油气管道人为错误管理模型的解决方案。因此,这个框架可以帮助决策者决定在管道的风险管理过程中何时何地采取预防或减轻措施。
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引用次数: 1
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Journal of Chemical Engineering and Industrial Biotechnology
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