P204为载体的微乳液膜处理焦化厂含酚废水的研究

研究了以P204为载体的Span80/煤油/NaOH微乳液膜配方及其稳定性,通过该液膜体系萃取废水中酚的研究,考察了P204与Span80的质量比、乳水比、萃取时间、油相的重复使用次数等对除酚率的影响。实验结果表明,在优化条件下,采用P204/Span80/煤油/NaOH微乳液膜处理焦化厂中高浓度的含酚废水,一次性除酚率均高于99%,且对高浓度含酚废水的除酚效果更佳;微乳液膜不仅稳定性好,传质速率高,除酚效率高,而且可自动破乳,油相可重复使用。     

烹饪油烟污染与处理技术探讨

为了降低油烟对环境的污染,分析了油烟中的主要污染物成分及油烟对人体健康的几种危害。讨论了五种油烟净化技术:惯性分离法、过滤分离法、液体洗涤法、静电沉积法、复合技术。分析了液体洗涤油烟净化技术的原理、水循环利用时对洗涤废液进行的油水分离,提出了采用流场分析喷淋,以了解其流场的特性。结果表明,采用液体洗涤法去除油烟效率高,安全可靠。     

液体旋流分离器分离效率的研究

液体旋流分离器是水环境污染治理的主要设备之一.分离效率是衡量液体旋流分离器分离过程进行完善程度的最重要的技术指标,它能从质与量两方面反映出设备性能的优劣.当前液体旋流分离器设计过程还缺少具体量化的理论依据,为了给液体旋流分离器的设计提供理论依据,通过液体旋流分离器从水中分离固体粒子的性能实验,得出了液体旋流分离器各部结构尺寸、形状、相对比例对分离效率的不同影响程度,提出了结构参数的最佳取值范围.按照本研究提出的设计原则和方法,可以制造出性能优良的液体旋流分离器.     

环境监测实验室废液的管理与处理方法

环境监测实验室的废液处理常常被忽视,提出建立有效的废液管理制度的必要性.有针对性地介绍了环境监测实验室中常见废液的处理方法.     

固相萃取-UPLC-MS/MS法测定环境水体中多种抗生素

采用固相萃取-超高效液相色谱串联质谱法测定环境水样中25种磺胺类和喹诺酮类抗生素,通过优化试验条件,使方法在2.00μg/L～200μg/L范围内线性良好,方法检出限为1.01ng/L～2.85ng/L,7次测定结果的RSD为2.3%～8.0%。将该方法用于自来水和地表水测定,结果均为未检出,高、低质量浓度水平的加标回收率为61.2%～102%。     

HPLC-三重四级杆质谱法测定医疗废水中抗生素残留

采用固相萃取/高效液相色谱-三重四级杆质谱法同时测定医疗废水中的20种超痕量抗生素残留,通过优化试验条件,使方法在100μg/L～100μg/L范围内线性良好,方法检出限为024ng/L～122ng/L。空白水样和实际水样3个质量浓度水平的加标回收率分别为80.2%～108%和75.8%～114%,6次测定结果的RSD分别为2.4%～8.4%和1.7%～8.1%。将该方法用于测定重庆市2家三甲医院医疗废水中的超痕量抗生素残留,结果有11种抗生素检出,其余均为未检出。     

施用不同磷肥对植烟土壤中磷的淋失和有效磷的影响

采用土柱淋溶模拟试验和室内培养试验,研究不同磷肥施入土壤后磷的淋失和有效磷的变化.结果表明,在施磷量为35 mg/kg条件下,整个淋洗期间,钙镁磷肥、磷酸二氢钙、磷酸一氧铵、磷酸二氢铵、磷酸二氢钾5种肥料磷的淋失率很低;各处理从上而下各层土壤的Olsen-P质量比略有增加.施磷量为60 mg/kg、110 mg/kg、170mg/kg、230 mg/kg时.潮砂田肥料磷的淋失率分别为0.26%、0.74%、2.12%和3.17%;灰泥田肥料磷的淋失率分别为0.79%、1.31%、1.60%和1.94%.钙镁磷肥施人各种土壤后,随着培养时间的延长,土壤有效磷质量比逐渐增加,80 d后达到峰值并趋于稳定;磷酸二氢钾、磷酸二氧铵、磷酸一氢铵和磷酸二氢钙施人上壤后,土壤有效磷质量比逐渐降低,至培育60 d后.变化趋于平缓.不同土壤类型对磷的吸附固定率从大到小为潮砂田、灰泥田.     

液液萃取-气相色谱/串联质谱法测定水中五氯酚及其钠盐

采用液液萃取处理水样,用气相色谱-串联质谱法测定样品中五氯酚及其钠盐,通过优化测定条件,使方法在1.00μg/L～500μg/L范围内线性良好.检出限和定量限分别为1.00μg/L和5.00μg/L,空白水样五氯酚钠3个质量浓度水平的加标回收率为89.8％～98.4％,5次平行试验测定结果的RSD为5.5％～10.7％...     

Highly efficient conversion of sugarcane bagasse pretreated with liquid hot water into ethanol at high solid loading

Liquid hot water (LHW), an environmental-friendly physico-chemical treatment, was applied to pretreat the sugarcane bagasse (SCB). Tween80, a non-ionic surfactant, was used to enhance the enzymatic hydrolysis of the pretreated SCB. It found that 0.125 mL Tween80 /g dry matter could make the maximum increase (33.2%) of the glycan conversion of the LHW-pretreated SCB. A self-designed laboratory facility with a plate-and-frame impeller was applied to conduct batch hydrolysis, fed-batch hydrolysis, and the process of high-temperature (50°C) fed-batch hydrolysis following low-temperature (30°C) simultaneous saccharification and fermentation (SSF) which was adopted to overcome the incompatible optimum temperature of saccharification and fermentation in the SSF process. After hydrolyzing LHW-pretreated SCB for 120 h with commercial cellulase, the total sugar concentration and glycan conversion obtained from fed-batch hydrolysis were 91.6 g/L and 68.3%, respectively, which were 9.7 g/L and 7.3% higher than those obtained from batch hydrolysis. With Saccharomyces cerevisiae Y2034 fermenting under the non-sterile condition, the ethanol production and theoretical yield obtained from the process of SSF after fed-batch hydrolysis were 55.4 g/L and 88.3% for 72h, respectively, which were 15.5 g/L and 24.7% higher than those from separate fed-batch hydrolysis and fermentation. The result of this work was superior to the reported results obtained from the LHW-pretreated SCB.     

Detection of DDT and its metabolites in two estuaries of South China using a SPME-based device: First report of p,p′-DDMU in water column

A solid-phase microextration-based sampling method was employed to determine the concentrations of 1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane (DDT) and its metabolites, 1,1-dichloro-2,2-bis(p-chlorophenyl)ethane (DDD), 1,1-dichloro-2,2-bis(p-chlorophenyl)ethene (DDE) and 1-chloro-2,2-bis(p-chlorophenyl)ethene (DDMU), in two estuarine bays, Daya Bay and Hailing Bay, of South China. Six DDT components including p,p′-DDT, o,p′-DDD, p,p′-DDD, o,p′-DDE, p,p′-DDE, and p,p′-DDMU were detected in Hailing Bay, while only p,p′-DDD was found in Daya Bay. p,p′-DDD was the most abundant DDT component in both bays, sharply different from the previous finding in the water column of the Palos Verdes Shelf, California, USA that p,p′-DDE was prevalent. In addition, the occurrence of p,p′-DDMU (with a range of 0.047-0.21 ng/L in Hailing Bay) has not been reported around the globe, and its presence in our study region appeared to stem from dehydrochlorination of p,p′-DDD, favored under aerobic conditions, but further investigations are clearly needed to confirm the mechanism for generation of DDMU in estuarine environments.