Soil microbial response to waste potassium silicate drilling fluid

Potassium silicate drilling fluids (PSDF) are a waste product of the oil and gas industry with potential for use in land reclamation. Few studies have examined the influence of PSDF on abundance and composition of soil bacteria and fungi. Soils from three representative locations for PSDF application in Alberta, Canada, with clay loam, loam and sand textures were studied with applications of unused, used once and used twice PSDF. For all three soils, applying ≥ 40 m³/ha of used PSDF significantly affected the existing soil microbial flora. No microbiota was detected in unused PSDF without soil. Adding used PSDF to soil significantly increased total fungal and aerobic bacterial colony forming units in dilution plate counts, and anaerobic denitrifying bacteria numbers in serial growth experiments. Used PSDF altered bacterial and fungal colony forming unit ratios of all three soils.     

Analysis of trace dicyandiamide in stream water using solid phase extraction and liquid chromatography UV spectrometry

An improved method for trace level quantification of dicyandiamide in stream water has been developed. This method includes sample pretreatment using solid phase extraction. The extraction procedure (including loading, washing, and eluting) used a flow rate of 1.0 mL/min, and dicyandiamide was eluted with 20 mL of a methanol/acetonitrile mixture (V/V = 2:3), followed by pre-concentration using nitrogen evaporation and analysis with high performance liquid chromatography–ultraviolet spectroscopy (HPLC–UV). Sample extraction was carried out using a Waters Sep-Pak AC-2 Cartridge (with activated carbon). Separation was achieved on a ZIC^®-Hydrophilic Interaction Liquid Chromatography (ZIC-HILIC) (50 mm × 2.1 mm, 3.5 μm) chromatography column and quantification was accomplished based on UV absorbance. A reliable linear relationship was obtained for the calibration curve using standard solutions (R² > 0.999). Recoveries for dicyandiamide ranged from 84.6% to 96.8%, and the relative standard deviations (RSDs, n = 3) were below 6.1% with a detection limit of 5.0 ng/mL for stream water samples.     

固相膜萃取-气相色谱法测定地表水中有机氯农药研究

研究了固相膜萃取对地表水中有机氯农药(OCPs)物质的提取效果,并与液液提取法(LLE)进行比较.建立了固相膜萃取/气相色谱法检测地表水中20种有机氯农药的方法.结果表明:当萃取膜为HLB膜,洗脱液溶剂为丙酮和正己烷,萃取效果最理想,20种OCPs的回收率稳定在74.1%~94.3%之间,固相膜萃取法与传统液液提取法相比,既提高了萃取效率同时又减少了有机萃取溶剂的用量.该法检测实际样品时,同时加入2种内标指示剂对方法的性能进行了验证,2种内标示踪剂的回收率分别为71.6%~94.8%和69.9%~109.5%,样品中20种OCPs均未检出.     

广州地区孕妇羊水中PCBs暴露水平初步研究

随机采集广州地区非职业PCBs(polychlorinated biphenyls,多氯联苯)暴露单胎孕妇分娩时羊水,分析羊水中PCBs浓度水平;结合孕妇临床资料(年龄、孕周、身体质量指数(body mass index,BMI))以及孕妇居住环境信息等,阐明了广州地区非职业暴露孕妇羊水PCBs蓄积的影响因素。结果表明,∑33PCBs浓度为15.91-324.38 ng·g-1,平均值为114.34±83.52 ng·g-1,中值为84.8 5ng·g-1;其中十氯含量最低,平均浓度为2.66±3.46 ng·g-1,中值为1.47 ng·g-1;六氯PCBs含量最高,平均浓度为28.79±33.84 ng·g-1,中值为17.48 ng·g-1。样本中有31种PCBs同分异构体在孕妇羊水中检出,分别为PCB 8、28、30、49、52、70、74、77、82、87、99、101、105、114、118、126、128、138、153、156、158、166、169、170、179、180、183、187、189、198和209;羊水主要的PCBs暴露以五氯PCBs、六氯PCBs和七氯PCBs为主,主要的同分异构体为PCB 138(4.73%)、179(4.15%)、153(3.92%)、183(3.89%)、166(3.77%)、187(3.74%)以及180(3.67%);暴露水平与美国、西班牙、加拿大等地区相比属于严重水平。统计结果显示,年龄、身体质量指数和孕周与PCBs蓄积有显著性正相关关系;工业区居住的孕妇相与非工业区居住孕妇相比,上述统计结果更为显著。     

SPE-UPLC-MS/MS法测定地下水中多种农药残留

采用固相萃取超高效液相色谱串联质谱法(SPE-UPLC-MS/MS)同时测定地下水中涕灭威、克百威、2,4滴和五氯酚等4种农药残留,通过优化试验条件,使方法在10.0μg/L～200μg/L范围内线性良好,检出限为0.003μg/L～0.006μg/L.标准溶液低、中2个质量浓度水平的加标回收率为84.1％ ～98.8...     

超高效液相色谱-串联质谱法同时分析地下水中24种内分泌干扰物

建立了基于超高效液相色谱-串联质谱法同时测定地下水中9种雌激素、5种雄激素、3种肾上腺皮质激素、4种酚类和3种非甾类激素共24种内分泌干扰物的方法。在活化后的MCX固相萃取柱中加入水样,再加入pH=5的水溶液淋洗,随后用碱化乙腈(4.5%,体积分数)洗脱。收集洗脱液并用氮气吹至近干后,用甲醇定容。采用Poroshell 120 Bonus-RP色谱柱(2.7 μm,100 mm×2.1 mm),以0.1%氨水溶液-乙腈为流动相进行梯度洗脱,实现液相分离。质谱检测采用MRM模式进行采集,通过正负离子模式切换同时进行测定,使用内标法定量。检测结果显示,目标物在线性范围内,决定系数R²均大于0.995,方法检出限为0.05~2.00 ng/L,加标回收率为68.8%~108%。该方法灵敏度高、准确度好,具有较强的实用价值。     

基于CYCBD和麻雀搜索算法的滚动轴承故障特征提取方法

目的解决在较强的噪声环境下最大二阶循环平稳盲解卷积(MaximumSecond OrderCyclostationary Blind Deconvolution,CYCBD)算法在滚动轴承故障特征提取时效果欠佳的问题,为滚转尾翼导弹的尾翼滚动轴承故障诊断提供方法参考。方法提出一种利用麻雀搜索算法(SparrowSearchAlgorithm,SSA)优化CYCBD算法的方法,将CYCBD算法解卷积的包络谱熵作为SSA寻优的适应度函数,利用SSA高效地寻找出合适的循环频率以及滤波器长度,选择自适应参数后,再使用CYCBD算法有效解卷得到周期脉冲特征。结果同时对比SSA优化CYCBD前后进行故障特征提取的包络谱图,CYCBD的噪声幅值不超过0.13 m/s^(2),峰值不超过0.29 m/s^(2),用SSA优化CYCBD的噪声幅值不超过0.08 m/s^(2),峰值不超过0.32 m/s^(2),故障频率成分更加突显,无论是噪声幅度,还是峰值幅度特性,均较CYCBD有了较大改善。结论仿真实验验证了SSA优化CYCBD方法能够更加清晰地辨识到故障特征频率及其倍频成分,其具有良好的工程应用前景。     

极端梯度提升与随机森林融合的天然气露点预测方法

目的 解决目前水露点数据多为人工采用测量仪器测得,时效性低且成本高昂的问题。方法 建立一种基于极端梯度提升(XGBoost)和随机森林(RF)的天然气水露点预测方法。采用XGBoost方法对所有监测工艺参数进行分析,筛选出主要影响水露点的关键工艺特征参数,以排除无关特征参数对预测的干扰。建立RF预测模型,输入关键特征集参数,实现对水露点的实时预测。以重庆气矿某脱水监测系统监测数据与生产数据为例,对所提预测方法进行对比分析验证。结果 相较于XGBoost、SVM等预测方法,RF模型具有最佳的预测性能,且经过XGBoost特征选择后,RF预测结果的MAE值降低了0.016 9 ℃,RMSE值降低了0.014 6 ℃。结论 基于极端梯度提升与随机森林融合的水露点预测方法具有更优的预测精度与鲁棒性,对指导脱水现场生产具有积极作用。     

Molecularly imprinted polymer for analysis of trace atrazine herbicide in water

A molecularly imprinted polymer (MIP) for atrazine was synthesized by non-covalent method. The binding capacity of MIP was 1.00 mg g^{? 1} polymer. The selectivity and recovery were investigated with various pesticides which are mostly, found in the environment, for both similar and different chemical structure of atrazine. The competitive recognition between atrazine and structurally similar compounds was evaluated and it was found that the system provided highest recovery and selectivity for atrazine while low recovery and selectivity were obtained for the other compounds. The highest recovery was obtained from MIP compared with non-imprinted polymer (NIP), a commercial C₁₈ and a granular activated carbon (GAC) sorbent. The method provided high recoveries ranged from 94 to 99% at two spiked levels with relative standard deviations less than 2%. The lower detection limit of the method was 80 ng L^{? 1}. This method was successfully applied for analysis of environmental water samples.