氢化物发生-原子荧光光谱法测定废水中砷探讨

砷是对人体有害的元素,当人体每天的摄入量超过100ug或更高时,对人体就会产生严重的危害,而有些工业废水中合有一定量的砷元素,如果这些工业废水不经处理排放到水中会我们的身体造成很大程度的伤害,所以我对某工厂的工业废水进行检测,检测其排放废水中所含有砷元素的多少。火焰原子荧光和石墨炉原子荧光的检测能力无法满足测定的要求,...     

液膜富集火焰原子吸收法测定水中痕量镉

研究表面活性剂、流动载体,内相解吸剂、外相酸度、液体石蜡和油内比等因素对分离富集镉的影响,且考察其膜的溶胀程度和破乳难易。确定了Ｓｐａｎ８０－Ｐ２０４－煤油－ＨＣｌ液膜体系的最佳组成及富集条件。分４批处理料液,富集倍数达８０以上．回收率在９７％以上,且选择性好。与火焰ＡＡＳ法组合可测定ｐｐｂ级的镉。本法灵敏度高准确度好。     

石墨探针收集/石墨探针炉原子吸收法直接测定APM中痕量铅

研究一种直接收集并测定大气微粒物质中痕量有害元素铅的新方法,石墨探针直接收集ＡＰＭ后,用石墨探针炉原子吸收法直接测定收集在探针上的ＡＰＭ中痕量铅。方法特征量为４４．００ｐｇ,检出限为４８．３６ｐｇ,,相对标准偏差为３．２２％,铅学度与峰面积吸光度在０－２５０μｇ／Ｌ范围内呈线性关系,测定标准参比材料,其回收率为９４．４２％＿９９．１４％,并成功地测定了大气微粒物质中痕量铅的含量。     

型煤燃烧固硫中的温度效应

以氧化钙作为固硫剂的型煤中适当加入Ｆｅ,Ｓｉ添加剂组分,燃烧生成新的固硫体系后进行了２种不同温度条件下的进样实验。１．型煤样品分成６份,进行逐渐升温实验,分别加热到１１７０℃－１２２０℃,温度间隔１０℃,恒温１／４ｈ,２．型煤样品分成７份,进行先升温后进样实验,将加热炉分别升温至要求温度１０００℃－１２２０℃＋后进样,温度间隔５０℃,恒温１／２ｈ,实验表明：在Ｆｅ,Ｓｉ体系的型煤燃烧过程中,当进样     

WO3/TiO2复合半导体的光催化性能研究

采用Ｓｏｌ－Ｇｅｌ法制备ＷＯ３／ＴｉＯ２纳米粉末,以高压汞灯为光源,亚甲基蓝溶液的光催降为模型反应,结果表明,掺入ＷＯ３摩尔比为２％时,ＷＯ３／ＴｉＯ２的光活性最高;随着热处理温升高,ＷＯ３／ＴｉＯ光活性增强;     

Measurements of selected PCBs in open urban ambient air of Madrid (Spain)

The focus of this study was to characterize the concentration levels of selected PCBs and compare them to compiled data in order to contribute to the international database. The sampling site is located in the outskirts of Madrid and can be considered an open urban area. 32 samples of air were taken from February 1998 to June 1998 by using a high volume air sampler. Glass fiber filters and polyurethane foam (PUF) were used to collect the paniculate and gas phase material, respectively. PUF plugs were Soxhlet extracted and filters were ultrasonically extracted by using pesticide-grade hexane and dichloromethane, respectively. The cleanup procedure was carried out on a florisil column with hexane and hexane/dichloromethane as elution solvents. GC/MS in a selected ion monitoring mode was used for quantification and 29 selected PCBs congeners were analyzed.     

固相萃取-气相色谱/质谱法测定水中多环芳烃

建立了固相萃取-气相色谱／质谱联用测定水中多环芳烃(PAHs)的分析方法．优化了固相萃取条件。结果表明,固相萃取效率高、萃取时间短,采用MS的选择离子检测方式对实际水样中PAHs进行定性定量分析,平均回收率在80．4％～115％之间,相对标准偏差为7．03％～18．5％,方法的检出限在0．010～0．020μg／L之间。通过实际样品中PAHs的分析表明,该法快速,溶剂用量少,能满足痕量分析的要求。     

Discovery of emerging organic pollutants in the atmosphere through an omics approach

● We review the framework of discovering emerging pollutants through an omics approach. ● High-resolution MS can digitalize atmospheric samples to full-component data. ● Chemical features and databases can help to translate untargeted data to compounds. ● Biological effect-directed untargeted analyses consider both existence and toxicity. Ambient air pollution, containing numerous known and hitherto unknown compounds, is a major risk factor for public health. The discovery of harmful components is the prerequisite for pollution control; however, this raises a great challenge on recognizing previously unknown species. Here we systematically review the analytical techniques on air pollution in the framework of an omics approach, with a brief introduction on sample preparation and analysis, and in more detail, compounds prioritization and identification. Through high-resolution mass spectrometry (HRMS, typically coupled with chromatography), the complicated environmental matrix can be digitalized into “full-component” data. A key step to discover emerging compounds is the prioritization of compounds from massive data. Chemical fingerprints, suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous substances. Afterward, compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula, MS libraries, and authentic standards. Such an omics approach on full-component data provides a paradigm for discovering emerging air pollutants; nonetheless, new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors, hence to evaluate the health risk of key pollutants.     

固相萃取-电感耦合等离子体质谱测定自然水体痕量钍和铀

自然水体中Th和U的浓度极低,尤其Th的浓度单位仅为ng/L,定量测试非常困难。该研究建立了一种NOBIAS PA1螯合树脂萃取结合电感耦合等离子体质谱(ICP-MS)同时测定自然水体中痕量Th和U的分析方法。该方法首先使用UV/H₂O₂法消解水样30 min,去除水体中的有机物,然后在pH=3.00±0.05条件下,将水样以2 mL/min流速通过树脂对Th和U进行富集,使用NH₄AC-HAC溶液去除树脂上吸附的盐类,最后用1 mol/L超纯硝酸对样品进行洗脱,用ICP-MS测试。分析结果显示：Th和U的流程空白值分别为0.47、0.22 ng/L,检出限分别为2.9、2.3 ng/L,测定下限分别为11.46、9.11 ng/L。将该方法应用于不同有机物浓度的咸水和淡水中,结果显示：Th和U的回收率分别为97%～104%和98%～103%,相对标准偏差分别为3%～6%和1%～3%。说明该方法具有较高的回收率、精密度和准确度,适用于自然界各种不同水体中Th和U的定量分析。     

高效液相色谱-串联质谱法同时测定地表水中33种药物

采用固相萃取-高效液相色谱-串联质谱法(SPE-HPLC-MS/MS)建立了地表水中25种抗生素类药物和8种非抗生素类药物的分析方法。通过重点优化质谱参数、色谱条件、样品pH、洗脱溶剂组成及用量等确定了最佳分析条件。水样经过滤、固相萃取柱富集净化后,选择Shim-pack XR-ODS为色谱柱,以乙腈和0.2%甲酸-2 mmol/L乙酸铵-水溶液为流动相进行梯度洗脱,采用电喷雾电离源,在多反应监测模式下(MRM)分析测定,内标法定量。33种药物的仪器定量限为0.012～4.68 ng/L,方法检出限为0.011～7.60 ng/L,地表水加标回收率为53.7%～122%,相对标准偏差为1.22%～32.1%(n=6)。方法成功应用于北京市凉水河12个地表水样分析,共检出32种药物,检出质量浓度为未检出～239 ng/L。利托那韦(RTV)作为新型冠状病毒诊疗方案中推荐的药物在凉水河检出率为100%。