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Prediction of DOM removal of low specific UV absorbance surface waters using HPSEC combined with peak fitting

Journal of Environmental Sciences 2012年第7期24卷 1174-1180页

作者： Linan Xing Rolando Fabris W.K.Chow John van Leeuwen Mary Drikas Dongsheng Wang State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of ScinecesBeijing 100085China Australian Water Quality Centre South Australian Water Corporation256 Victoria SquareAdelaideSouth Australia 5000Australia SA Water Centre for Water Management and Reuse University of South AustraliaMawson LakesSouth Australia 5095Australia

High performance size exclusion chromatography （HPSEC） is used in water quality research primarily to determine the molecular weight distribution of the dissolved organic matter （DOM）, but by applying peak fitting to the chromatogram, this technique can also be used as a tool to model and predict DOM removal. Six low specific UV absorbance （SUVA） source waters were treated using coagulation with alum and both the source and treated water samples were analysed using HPSEC. By comparing the molecular weight profiles of the source and treated waters, it was established that several DOM components were not effectively removed by alum coagulation even after high dosage alum treatment. A peak-fitting technique was applied based on the concept of linking the character （molecular weight profile） of the recalcitrant organics in the treated water with those of the source water. This was then applied to predict DOM treatability by determining the areas of the peaks which were assigned to removable organics from the source water molecular weight profile after peak fitting, and this technique quantified the removable and non-removable organics. The prediction was compared with the actual dissolved organic carbon （DOC） removal determined from jar testing and showed good agreement, with variance between 2% and 10%. This confirmed that this prediction approach, which was originally developed for high SUVA waters, can also be applied successfully to predict DOC removal in low SUVA waters.

关键词： DOM high performance size exclusion chromatography peak fitting water treatment

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Pyrolysis behaviour and combustion kinetics of waste printed circuit boards

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International Journal of Minerals,Metallurgy and Materials 2022年第9期29卷 1722-1732页

作者： Kang Yan Chongwei Liu Liping Liu Min Xiong Jiongtong Chen Zhongtang Zhang Shuiping Zhong Zhifeng Xu Jindi Huang School of Metallurgy Engineering Jiangxi University of Science and TechnologyGanzhou 341000China Ganzhou Engineering Technology Research Center of Green Metallurgy and Process Intensification Ganzhou 341000China Jiangxi College of Applied Technology Ganzhou 341000China Key Laboratory of Ionic Rare Earth Resources and Environment Ministry of Natural ResourcesGanzhou 341000China

The effective recycling of waste printed circuit boards(WPCBs)can conserve resources and reduce environmental *** study explores the pyrolysis and combustion characteristics of WPCBs in various atmospheres through thermogravimetric and Gaussian fitting ***,this study analyses the pyrolysis products and combustion processes of WPCBs through thermogravimetric and Fourier transform infrared analyses(TG-FTIR)and thermogravimetry-mass spectrometry(TG-MS).Results show that the pyrolysis and combustion processes of WPCBs do not constitute a single reaction,but rather an overlap of multiple *** pyrolysis and combustion process of WPCBs is divided into multiple reactions by Gaussian peak *** kinetic parameters of each reaction are obtained by the Coats-Redfern *** an argon atmosphere,pyrolysis consists of the overlap of the preliminary pyrolysis of epoxy resin,pyrolysis of small organic molecules,and pyrolysis of brominated flame *** thermal decomposition process in the O_(2) atmosphere is mainly divided into two reactions:brominated flame retardant combustion and epoxy *** study provided the theoretical basis for pollution control,process optimization,and reactor design of WPCBs pyrolysis.

关键词： waste printed circuit board pyrolysis mechanism combustion Gauss peak fitting

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Methods of Data Processing for Trace Elements Analysis Using Laser Induced Breakdown Spectroscopy

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Plasma Science and Technology 2015年第11期17卷 944-947页

作者：王锐马晓红余琦宋阳赵华凤张敏廖延彪 Electronic Engineering Department Tsinghua University

With the development of Laser Induced Breakdown Spectroscopy （LIBS）, increasing numbers of researchers have begun to focus on problems of the application. We are not just satisfied with analyzing what kinds of elements are in the samples but are also eager to accomplish quantitative detection with LIBS. There are several means to improve the limit of detection and stability, which are important to quantitative detection, especially of trace elements, increasing the laser energy and the resolution of spectrometer, using dual pulse setup, vacuuming the ablation environment etc. All of these methods are about to update the hardware system, which is effective but expensive. So we establish the following spectrum data processing methods to improve the trace elements analysis in this paper： spectrum sifting, noise filtering, and peak fitting. There are small algorithms in these three method groups, which we will introduce in detail. Finally, we discuss how these methods affect the results of trace elements detection in an experiment to analyze the lead content in Chinese cabbage.

关键词： LIBS data processing limit of detection spectrum sift noise filtering peak fitting

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