Evaluating peats for their capacities to remove odorous compounds from liquid swine manure using headspace “solid‐phase microextraction”

Abstract

This paper reports on research designed to investigate the capacities of different highly characterized peats to remove odorous compounds from liquid swine manure (LSM). Peat types representing a wide range of properties were tested in order to establish which chemical and physical properties might be most indicative of their capacities to remediate odors produced by LSM. Eight percent slurries (of peat/LSM) were measured for odor changes after 24 hours using odor panel and GC/MS‐Solid‐phase microextraction (GC/MS‐SPME) analysis.

The GC/MS‐SPME and odor panel results indicated that, although all peats tested in this study were found to be effective at removing odor‐causing compounds found in LSM, some peats tended to work better than others. Overall, the peats that were the most effective at removing odor‐causing compounds tended to have lower bulk densities, ash contents, fulvic acids contents, and guaiacyl lignins contents,and higher water holding capacities, hydraulic conductivities, “total other lignins”; contents, hydrogen contents, carbon contents, and total cellulose contents.

GC/MS‐SPME analysis was found to be a reasonably inexpensive and efficient way of conducting this type of research. It allows one to identify a large number of the odor‐causing compounds found in LSM, and more importantly, to detect with some precision specific differences in the amounts of these compounds between peat types.     

分散液液微萃取与超高效液相色谱-串联质谱联用测定土壤和沉积物中三丁基锡

建立了分散液液微萃取与超高效液相色谱-串联质谱联用技术测定土壤和沉积物中三丁基锡的方法。考察了影响分散液液微萃取的因素(包括有机萃取溶剂、萃取剂体积、分散剂、分散剂体积、萃取时间和盐效应)。在最佳实验条件下,方法在0.5~50μg/kg范围内线性关系良好,相关性系数为0.999 0,方法检出限(3倍信噪比)为0.1μg/kg,加标回收率为83.1%~104%,相对标准偏差小于8.5%(n=6),适用于土壤和沉积物中三丁基锡的检测。     

固相萃取-液相色谱-串联质谱法测定水中5种雌激素

建立了固相萃取-液相色谱-串联质谱组合联用技术同时测定地表水、饮用水和污水处理厂出厂水中的5种雌激素(17β-雌二醇、雌三醇、雌酮、17α-炔雌醇、己烯雌酚)的方法。水样经过全自动固相萃取仪富集,以OASIS HLB柱为萃取柱,甲醇为洗脱剂,用液相色谱-串联四极杆质谱联用仪分析定量。分别在0.5~8、5~80μg/L范围内线性良好,相关系数为0.995~0.998。17β-雌二醇、雌三醇、17α-炔雌醇的检出限均为5μg/L,雌酮与己烯雌酚的检出限为0.5μg/L。5种雌激素的纯水加标回收率为63.6%~120.2%,地表水加标回收率为59.8%~91.5%,自来水加标回收率为55.3%~92.1%,精密度为3.7%~10.7%,该方法简单、可靠,可用于水中雌激素类污染物的同时测定。     

分散液液微萃取气相色谱-质谱法测定水中15种硝基苯类化合物

建立了超声辅助基质分散液液微萃取（UA-DLLME）作为前处理联合气相色谱串联质谱（GC-MS）同时测定地下水和地表水中15种硝基苯类化合物的分析方法。萃取剂、分散剂、萃取温度、萃取时间和离子强度等影响因素采用Plackett-Burman设计,快速筛选出最显著影响因素,利用中心组合设计（CCD）简化实验步骤优化显著因素,结合响应曲面图最终确定最佳的萃取条件：5 mL水样在3%氯化钠条件下迅速加入40 μL四氯化碳（萃取剂）和0.5 mL乙腈（分散剂）,50 ℃下超声4 min,混合液4 000 r/min离心3 min。结果表明：15种硝基苯类化合物在50.0~1 000.0 μg/L的浓度范围内线性相关系数均大于0.995;采用超声辅助基质分散液液微萃取时,方法检出限（MDL）为0.018~0.039 μg/L;15种目标物的加标平均回收率为83.31%~99.08%,相对标准偏差均不高于5.0%（n=6）。     

气相色谱法测定蔬菜中有机磷农药残留的前处理方法比较

采用液-液萃取、索氏提取和基质固相分散3种不同的方法对青椒样品进行前处理，用毛细管气相色谱法对处理后样品中的DDV、甲拌磷、甲基-对硫磷和马拉硫磷等农药残留进行测定，并对不同前处理方法的回收率和精密度进行比较。结果：3种方法的回收率和RSD相当，但基质固相分散操作较为方便简单、溶剂消耗量少。     

固相萃取法分离富集污水样品中痕量壬基酚

本文结合气相色谱质谱选择离子(GCMS∑SIM)定量分析壬基酚含量,对固相萃取技术提取富集污水和再生水样品中痕量壬基酚的操作条件和参数进行了研究。研究结果表明,OasisRHLB固相萃取柱对壬基酚具有优良吸附保留性能,多级混合洗脱方式的洗脱效率达97.01%;测定结果准确度和精密度满足要求。     

GANN模型在十溴联苯醚分散液液微萃取中的应用

文章研究目的在于用遗传神经网络模型(GANN模型)快速优化水样中十溴联苯醚分散液液微萃取的萃取条件。以水样中十溴联苯醚分散液液微萃取的正交试验为训练样本,建立十溴联苯醚分散液液微萃取条件的遗传神经网络模型。比较遗传神经网络模型和BP神经网络模型的学习速度、学习精度及网络泛化能力。采用Matlab遗传算法工具箱运用遗传神经网络模型对影响萃取回收率的因素进行优化求解,获得了水样中十溴联苯醚分散液液微萃取优化后的萃取条件,并进行实验验证。文章建立的遗传神经网络模型得到的预测值与实验值平均偏差为14.41%,R2为0.8887;最佳DLLME萃取条件为10μL四氯乙烯、0.71mL丙酮、pH=5、离子强度为20%NaCl、萃取时间10min;优化后十溴联苯醚分散液液微萃取的萃取回收率和富集因子比优化前分别提高了54%和580。     

污水处理厂中邻苯二甲酸酯类环境激素分析

建立了基于HLB固相萃取柱和液相色谱分析城市污水中邻苯二甲酸酯类环境激素的方法 ,同时分析了北京市 4个污水处理厂进水与出水中邻苯二甲酸酯类环境激素的浓度。在四个污水处理厂的水样中共检出了 5种邻苯二甲酸酯 ,分别是DEP、BBP、DBP、DCHP和DEHP ,浓度在 0 .72～ 59.1 7μg/L之间。结果表明 ,曝气活性污泥法对大部分邻苯二甲酸酯类环境激素的去除效果很好     

Optimization of enrichment processes of pentachlorophenol (PCP) from water samples

The method of enriching PCP( pentachlorophenol ) from aquatic environment by solid phase extraction (SPE) was studied.Several factors affecting the recoveries of PCP, including sample pH, eluting solvent, eluting volume and flow rate of water sample, were optimized by orthogonal array design(OAD). The optimized results were sample pH 4; eluting solvent, 100% methanol; eluting solvent volume, 2 ml and flow rate of water sample, 4 ml/min. A comparison is made between SPE and liquid-liquid extraction(LLE) method. The recoveries of PCP were in the range of 87.6%-133.6% and 79%-120.3% for SPE and LLE, respectively. Important advantages of the SPE compared with the LLE include the short extraction time and reduced consumption of organic solvents. SPE can replace LLE for isolating and concentrating PCP from water samples.     

固相微萃取-气相色谱-质谱法测定饮用水中土嗅素和2-甲基异茨醇

采用固相微萃取法富集,气相色谱-质谱联用法定性和定量测定饮用水中致嗅物质土嗅素和2-甲基异茨醇。研究并讨论优化了纤维头的类型、盐的种类和浓度、温度、萃取时间等因素对异味化合物萃取量的影响。土嗅素和2-甲基异茨醇的检出限分别为1.02、2.13 ng/L,相对标准偏差分别为4.96%、7.74%。2种异味化合物在5~1 000 ng/L的范围内线性关系良好,相关系数均大于0.985。因此,用该方法能够很好地分析水中痕量的异味化合物。