直接紫外光度法测定炸药废水中TNT含量

炸药废水中的主要成分是 2 ,4 ,6 -三硝基甲苯 (TNT) ,组成比较单一 ,不含有其他有机物。 TNT水溶液在紫外区有特征吸收 (2 30 nm) ,可用分光光度法直接测定。不引入其他试剂 ,无引入误差 ,与国标方法(GB/ T1 390 5 - 92 )比较 ,有良好的准确度 ,方法操作简单易行。但本法不适宜组成复杂的有机废水测定     

Analysis of pharmaceuticals in indirect potable reuse systems using solid-phase extraction and liquid chromatography–tandem mass spectrometry

A solid-phase extraction (SPE) LC–MS/MS method for 18 commercial drugs in secondary wastewater and product water from water recycling plants using microfiltration (MF) and reverse osmosis (RO) has been developed, optimised and validated. The method incorporates a range of multi-class pharmaceuticals including lipid lowering agents, analgesics, antipyretics, non-steroidal anti-inflammatory drugs, antidepressants, anticoagulants, tranquilizers, cytostatic agents, and antiepileptics. Method limits of quantitation (MLQs) in secondary wastewater ranged from 15 to 250 ng/L, while MLQs in post-RO water ranged from 1 to 25 ng/L. Results from analysis of secondary wastewater from Western Australia are presented, and represent the largest survey of non-antibiotic pharmaceuticals within Australia to date. Analysis of post-RO water from two MF/RO water recycling facilities also demonstrate that MF/RO treatment removes most pharmaceuticals to below the analytical limits of detection, and more importantly, up to seven orders of magnitude below health-based guideline values.     

Comparison of molecularly imprinted,mixed-mode and hydrophilic balance sorbents performance in the solid-phase extraction of amphetamine drugs from wastewater samples for liquid chromatography–tandem mass spectrometry determination

Recent studies have shown that amphetamines and other drugs of abuse residues occur in wastewater. Consequently, several methods have been developed for their determination by solid-phase extraction (SPE) and liquid chromatography–tandem mass spectrometry (LC–MS/MS). However, a major drawback of these methods is the lack of selectivity during SPE that results in reduced sensitivity, due to matrix effects, and in some cases in low precision and poor accuracy. In order to tackle this problem, three different SPE alternatives have been evaluated in this work for the determination of five amphetamines: common hydrophilic balance (Oasis HLB), mixed-mode (Oasis MCX) and molecularly imprinted polymers (MIPs) sorbents. Among them, Oasis HLB showed the worst performance, as three amphetamines (MDA, MDMA and MDEA) could not be determined because of interfering signals in the LC–MS/MS chromatogram, and amphetamine recoveries could not be corrected by the use of the deuterated analogue internal standard. Oasis MCX permitted the determination of all target analytes, but with still strong signal suppression: ca. 70% signal drop with wastewater samples, which could in this case be corrected by the internal standards providing acceptable trueness (overall recoveries: 101–137%), precision (RSD: 2.0–12%) and limits of detection (LOD: 1.5–4.4 ng/L). Alternatively, MIPs rendered cleaner extracts with less matrix effects (ca. 30% signal drop), and thus lower LODs (0.5–2.7 ng/L) and even better trueness (91–114% overall recovery) and precision (1.5–4.4%RSD). The final application of the method with MIP cartridges showed the presence of MDA and MDMA in the seven analysed wastewaters at the 4–20 ng/L level.     

Potential of combining of liquid membranes and molecularly imprinted polymers in extraction of 17β‐estradiol from aqueous samples

The potential of combination of liquid membranes (microporous membrane liquid–liquid extraction) and molecularly imprinted polymers (MIPs) was performed using 17β‐estradiol (E2) as model compound. The model compound was extracted from aqueous sample through a hydrophobic porous membrane that was impregnated with hexane/ethyl acetate (3:2), which also formed part of the acceptor phase. In the acceptor phase, the compound was bound onto MIP particles that were also part of the organic phase. The potential of such combination was optimised for the type and amount of MIP particles in the organic acceptor phase, the extraction time, and the type of organic acceptor solvent. Ultrasound assisted binding of E2 onto MIP particles was also investigated. MIPs prepared by precipitation polymerization were found to be superior to those prepared by bulk polymerization. Increase in the extraction time and the amount of MIP particles in the acceptor phase led to more E2 binding onto the MIP particles. Hexane/ethyl acetate (3:2) as an organic acceptor was found to give higher E2 binding onto MIP particles compared to toluene, diethyl ether, and hexane. Ultrasound was furthermore found to increase the binding of E2 onto MIP particles. The selectivity of the technique was demonstrated by extracting wastewater and where clean chromatograms were obtained compared to liquid membrane extractions (SLMs) alone.     

Simultaneous amperometric determination of lignin peroxidase and manganese peroxidase activities in compost bioremediation using artificial neural networks

High-performance liquid chromatography (HPLC) and fluorescence derivatization were applied for a nanogram-level N-nitrosodimethylamine (NDMA) analysis of water samples. For the analysis of N-nitrosodimethylamine, samples were first denitrosated by a mixed solution of hydrobromic acid and acetic acid to produce dimethylamine, which was derivatized with dansyl chloride for HPLC fluorescence detection. Fluorescence detection was optimized with excitation and emission wavelengths of 340 and 530 nm, respectively. pH adjustment after denitrosation was necessary to maximize fluorescence intensity with pHs in the range of 9-12. A dansyl chloride concentration of 500 mg l⁻¹ was found to be optimal for measuring a fluorescence signal. An instrumental detection limit of 0.1 ng of NDMA was possible with fluorescence derivatization. The NDMA in water samples was extracted by continuous solid-phase extraction using Ambersorb 572. Although the determination of NDMA was variable at lower concentrations (less than 200 ng l⁻¹), it was observed that the NDMA detection limit with this method could be lowered to a concentration of 10 ng l⁻¹. Another benefit of this method can be found in its selectivity for NDMA. Unlike gas chromatographic (GC) methods, this method generates a distinct peak for NDMA without interference even in the complex matrix of wastewater effluents. The HPLC with fluorescence derivatization method may be applicable for determining NDMA in water and wastewater samples for various research purposes and for screening environmental samples.     

工业污水消毒脱色的紫外-可见吸收光谱分析

研究紫外-可见吸收光谱用于工业污水色度表征的替代方法,并用以比较消毒剂对污水的脱色效果。结果表明,对于色度组成变化较大的工业污水,应使用可见吸收光谱(350～600 nm)而非紫外吸收光谱表征色度。可见吸收光谱的特征值与污水的真色值相关性良好。三种消毒剂中臭氧和二氧化氯的脱色性能好于氯,但二氧化氯自身色度对脱色有负面影响。可见吸收光谱特征值能有效反映消毒处理后污水色度的变化。     

ZnO/ZrO2 nanocomposite: Sonosynthesis,characterization and its application for wastewater treatment

ZnO/ZrO₂ nanocomposites with different ZnO: ZrO₂ molar ratios (2:1, 1:1, and 1:2)were prepared by sol gel approach under ultrasonic irradiation. For preparation of the nano-composites, the ZnO gel was directly incorporated into the ZrO₂ gel at different molar ratios. The reaction mixture was stirred continuously for two days and then it was ultrasonoicated for 30 min. The filtrated composite gel was washed, and then calcinated at 300 °C in furnace for 3 h. X-ray powder diffraction patterns exhibited well-formed crystal structures and pure crystalline phases in the synthesized nanoparticles (NPs). The FT-IR analyses indicated that the positions of peaks related to Zn-O and Zr-O absorption bands did not change in nano-composites. In addition, FESEM images indicated uniform spherical morphology of the NPs. The highest photo-degradation performance of Congo red (as a model water pollutant) was obtained by 1:2molar ratio of ZrO₂: ZnO in the nano-composite. The particle size and band gap were considered as important factors on nano-catalysts performance. Furthermore, the effects of ultrasonic irradiation, pH, and the concentration of pollutant in solution were investigated on photocatalytic performance of optimum nanocomposite.     

A SPE-LC-MS/MS Method for the Detection of Low Concentrations of Pharmaceuticals in Industrial Waste Streams

A SPE-LC-MS/MS method was developed and validated for the determination of three active pharmaceutical ingredients [API A (3-([2-(diaminomethyleneamino)thiazol-4-yl]methylthio)-N′-sulfamoyl propanimid amide, API B 5-[(2 R)-2-[2-(2-ethoxyphenoxy)ethylamino]propyl]-2-methoxybenzenesulfonamide hydrochloride, API C 1-azabicyclo[2.2.2]octan-8-yl (1S)-1-phenyl-3,4-dihydro-1H-isoquinoline-2-carboxylate] in the wastewater of a chemical synthesis production facility. The SPE-LC-MS/MS method was validated in actual influent and effluent samples. Linearity, LOD, LOQ, repeatability, intermediate precision, and recovery were determined. An LOQ of 400 μg · L^?1, 1.0 μg · L^?1, and 6 μg · L^?1, repeatability of 2.5% CV, 14.8% CV, and 11.9% CV, intermediate precision of 7.8% CV, 11.0% CV, and 8.7% CV and SPE recovery of 114%, 103%, and 91% was determined for API A, B, and C, respectively, in influent. An LOQ of 400 μg · L^?1, 0.8 μg · L^?1, and 6 μg · L^?1, repeatability of 2.0% CV, 11.0% CV, and 10.9% CV, intermediate precision of 1.7% CV, 6.8% CV, and 10.2% CV and SPE recovery of 116%, 96%, and 115% was established for API A, B, and C, respectively, in effluent. Coefficients of correlation for each analyte were >0.9301 confirming the linearity of the method. The LC-MS/MS method was used for an on-going monitoring program for these pharmaceuticals in wastewater. The method development techniques, validation procedures, and results from real wastewater samples are presented in this paper.     

The application to wastewaters of chemometric approaches to handling problems of highly complex matrices

This overview covers current chemometric methodologies using second-order advantage to solve problems of analyzing highly complex matrices. Among the existing algorithms, it focuses on those most frequently used (e.g., the standard for second-order approaches to data analysis, PARAFAC (parallel factor analysis), and MCR-ALS (multivariate curve resolution alternating least squares), as well as the most recently implemented BLLS (bilinear least-squares), and U-PLS/RBL (unfolded partial least squares/residual bilinearization)). All of these are based on linear models. The overview also covers ANN/RBL (artificial neural networks followed by residual bilinearization), which achieves the second-order advantage in systems involving non-linear behavior. In addition, the overview deals with the drawbacks of these approaches, as well as other drawbacks that are inherent in the analytical techniques to question.     

Analysis of volatile organic compounds in wastewater during various stages of treatment for high-tech industries

Summary A protocol combining purge-and-trap (P&T) and solid-phase microextraction (SPME) was established for the analysis of volatile organic compounds (VOCs) in the wastewater plant of high-tech industries. Over 60 VOCs could be analyzed by P&T coupled to gas chromatography/mass spectrometry (P&T-GC-MS). Four polar VOCs commonly used in the high-tech industries were determined by SPME coupled to gas chromatography/flame ionization detection (SPME-GC-FID). The limits of detection for the analytes were less than 1.1 μg L⁻¹ with P&T-GC-MS, and between 1.5 and 12.5 μg L⁻¹ with SPME-GC-FID. Satisfactory recoveries (83% to 130%) were obtained. Real samples were analyzed from a wastewater treatment plant during various stages of treatment. The major pollutant in the wastewater influent was found to be acetone (>4 ppm).