毛细管气相色谱法测定水中氯苯类化合物

采用毛细管气相色谱法同时分离测定水中11种氯苯类化合物.用DB-23毛细管柱分离,电子捕获检测器检测,方法线性关系良好,水中氯苯类的最低检出限分别为:二氯苯0.74 μg/L～0.89 μg/L,三氯苯0.17 μg/L～0.21 μg/L,四氯苯0.07 μg/L～0.11 μg/L,五氯苯0.04 μg/L、六氯苯0.02 μg/L,加标回收率在83.5%～101%之间,RSD在1.4%～5.2%之间.     

顶空气相色谱法测定水和废水中的4-甲基- 2-戊酮

采用液上顶空气相色谱法测定地表水和废水中的4-甲基-2-戊酮。以HP-5毛细管柱分离，氢火焰离子化检测器检测，取得较好的结果。方法检测限为0．06mg/L，相对标准偏差为5％，加标回收率在82％～117％之间。     

固相萃取-气相色谱法测定水中多种农药类内分泌干扰物

建立了水样中用固相萃取小柱提取和净化、GC-ECD检测、GC-MSD定性证实的农药类内分泌干扰物检测方法,该方法样品提取、浓缩、净化步骤简便,能实现31种目标物同时检测。方法检测限0.05~0.50μg/L。添加回收率69%~101%,相对标准偏差低于10%。选择农药包括有机氯类(如滴滴涕、六六六、三氯杀螨醇、艾氏剂、异狄氏剂、狄氏剂、七氯、硫丹、氯丹等),氨基甲酸酯类(如甲草胺、乙草胺等),除虫菊酯类(如氯氰菊酯、速灭菊酯等)及其它农药(如氟乐灵、除草醚、毒死蜱)。该方法应用到测定某水库的水样,水库中31种农药类内分泌干扰物总浓度为48.8~890 ng/L,平均浓度295 ng/L。     

固相萃取-气相色谱质谱联用法测定地表水中藻致嗅味物质

选用HLB固相萃取小柱进行富集,用二氯甲烷进行洗脱,优化了固相萃取过程,建立了固相萃取-气相色谱质谱法测定地表水中7种藻致嗅味物质的方法,浓度在0.004~0.1 mg/L范围内线性关系良好,具有较高的灵敏度和精密度,方法检出限为1×10-6~2×10-6mg/L,加标回收率为85.9%~108.6%,适用于地表水中嗅味物质的检测。     

大气中氯苯类化合物在常用吸附剂上的性能探讨

通过比对6种吸附剂对氯苯类化合物的吸附性能,同时考察不同废气温度、湿度条件下活性炭对氯苯类化合物的吸附-解吸性能,表明活性炭对氯苯类化合物的吸附性能及在二硫化碳介质中的解吸效能与标准规定的GDX系列无显著性差异。将活性炭管吸附采样用于监测某化工企业厂界无组织排放废气中的氯苯类化合物,结果 1,4-二氯苯和1,2,4,5-四氯苯检出。     

气相色谱-串联质谱法测定水中痕量有机磷农药和甲萘威

采用二氯甲烷萃取水样,气相色谱-串联质谱法同时测定水中有机磷农药和甲萘威。试验表明：方法在20．0μg/L ～1000μg/L范围内,各目标化合物线性良好;方法检出限为0．004μg/L～0．01μg/L;对实际水样进行3个质量浓度水平的加标回收试验,回收率在71．8％～94．5％之间,RSD为3．7％～8．5％,满足水中痕量有机磷农药和甲萘威的测定要求。     

甲胺、二甲胺及三甲胺的气相色谱测定

采用气相色谱法、大口径毛细管柱分离了甲胺、二甲胺、三甲胺.用氮磷检测器(NPD)检测,得到了良好的分离效果和很高的灵敏度,检测限可达0.025mg/L.同时,对甲胺类在NPD和氢火焰离子化检测器(FID)上的灵敏度作了比较,发现甲胺类物质在NPD上的灵敏度大大高于FID,因此,前者特别适用于检测环境试样中低含量甲胺类有机物的监测.     

Experimental investigation of limiting oxygen concentration of hybrid mixtures

An investigation into the limiting oxygen concentration (LOC) of fifteen combustible dusts and methane, ethanol and isopropanol hybrid mixtures in the standard 20 L explosion chamber was performed. Three ignition energies (10 J, 2 kJ and 10 kJ) were used. The results show that a 10 J electrical spark ignition leads to significantly higher limiting oxygen concentration values than either 2 kJ or 10 kJ pyrotechnic igniters. This could be due to the “overdriving” effect of the chemical igniters, which produce a hot flame that virtually covers the entire explosion chamber during combustion. With respect to hybrid mixture investigation, the 20 L sphere was modified to allow the input of methane gas and flammable solvents. The limiting oxygen concentrations of the hybrid mixtures were found to be considerably lower than those of dust air mixtures when the relatively weaker spark igniter was used. There was no significant change in limiting oxygen concentration when the higher energy chemical igniters were used.     

Failure Mode and Effect Analysis using an integrated approach of clustering and MCDM under pythagorean fuzzy environment

Failure Mode and Effect Analysis (FMEA) is an effective risk analysis and failure avoidance approach in the design, process, services, and system. With all its benefits, FMEA has three limitations: failure mode risk assessment and prioritization, complex FMEA worksheets, and difficult application of FMEA tables. This paper seeks to overcome the shortcomings of FMEA using an integrated approach based on a developed Pythagorean fuzzy (PF) k-means clustering algorithm and a popular MCDM method called PF-VIKOR. In the first step, Pythagorean fuzzy numbers (PFNs) were used to collect Severity (S), Occurrence (O), and Detection (D) factors for failure modes to incorporate uncertainty and fuzziness into subjective judgments. Afterward, failure modes were clustered by developing a novel k-means clustering algorithm that accepts PFNs as input. Finally, the PF-VIKOR approach was used to analyze the ordering of cluster risks. The proposed approach was implemented in the dehydration unit of an Iranian gas refinery and the results were compared with the traditional FMEA. The findings showed the flexibility and applicability of the proposed approach in addressing real-world problems. This research provides two key contributions: (1) designing a PFN-based k-means clustering algorithm that tackles FMEA limitations and (2) using the PF-VIKOR method for prioritizing and evaluating failure mode clusters.     

Influence of water storage on deflagration characteristics of methane in confined space

Comparative experiments were conducted under different water level heights and methane concentration conditions using a self-designed explosion experiment pipeline. The results showed that, in comparison with the scenario without water storage, when the water level was 2 cm and methane concentration was 6.5–12.5%, there was a dual effect including a pressure decrease caused by the endothermic cooling of liquid water and a pressure increase caused by the expansion of water vapour. These effects caused the pressure time history curve to exhibit a double-peak or multi-peak structure, and the average decrease in the peak deflagration pressure was 23.76%. The heat of vaporisation absorbed by the stored water and barrier effect of water vapour on the transfer of the heat slowed down the increase in the deflagration temperature. The average decrease in the peak deflagration temperature of methane was 13.82%, and the time to reach the peak deflagration temperature was extended as a whole, with an average delay of 0.22 s. Water storage also changed the shape of the deflagration flame front, which exhibited ‘knife’, ‘V’, and ‘crescent’ structures. Moreover, the flame propagation speed was significantly reduced, with the peak and average flame propagation speeds decreased by 83.3% and 83.6%, respectively. The research results can provide a certain reference for preventing gas explosions in typical confined spaces, and also help to explore new anti-explosion methods, which can be applied to marine equipment such as ships.