Development and optimization of the SPE procedure for determination of pharmaceuticals in water samples by HPLC‐diode array detection

This paper focuses on the investigation of different types of SPE sorbents for the preconcentration of eight veterinary pharmaceuticals from water samples. The pharmaceuticals studied were sulfamethazine, sulfadiazine, sulfaguanidine, trimethoprim, oxytetracycline, enrofloxacin, norfloxacin and penicillin G/procaine. Five different SPE materials (Strata‐X, Strata‐X‐C, Strata SDB‐L, Strata C8 and Strata C18) from Phenomenex were compared with Oasis HLB with a view to obtaining the best cartridges for all pharmaceuticals investigated. Extraction efficiency was determined by HPLC with diode array detection (DAD). HPLC‐DAD separation and quantification of the selected pharmaceuticals were carried out under gradient elution by a binary mixture of 0.01 M oxalic acid and ACN based on cyano modified column (LiChrosphere 100 CN) from Merck. Strata‐X provided the best results in the preconcentration of 100 mL water samples, yielding average pharmaceutical recoveries of higher than 90%, except for sulfaguanidine (76.1%). The developed Strata‐X‐HLPC‐DAD method was validated and applied, for the efficient investigation of reverse osmosis/nanofiltration membranes and for the removal of these eight pharmaceuticals from the production wastewater samples. NF90 and XLE membranes were shown to be the best for the rejection of all investigated pharmaceuticals.     

Chemometric tools improving the determination of anti-inflammatory and antiepileptic drugs in river and wastewater by solid-phase microextraction and liquid chromatography diode array detection

An analytical method for the simultaneous determination of seven non-steroidal anti-inflammatory drugs (naproxen, ketoprofen, diclofenac, piroxicam, indomethacin, sulindac and diflunisal) and the anticonvulsant carbamazepine in river and wastewater is reported. The method involves pre-concentration and clean-up by solid-phase microextraction using polydimethylsiloxane/divinylbenzene fibers, followed by liquid chromatography with diode array detection analysis. Owing to the fact that river water samples did not contain interferences and no sensitivity changes due to sample matrix were observed, external calibration was implemented. Standardization was also applied in order to carry out the prediction step by preparing only two diluted standards that were subjected to the pre-concentration step and a set of standards prepared in solvent. For the analysis of wastewater samples, in contrast, it was necessary to implement standard addition calibration in combination with the multivariate curve resolution-alternating least squares (MCR-ALS) algorithm, which allowed us to overcome matrix effect and exploit the second order advantage. Recoveries ranging from 72% to 125% for all pharmaceuticals proved the accuracy of the proposed method in river water samples. On the other hand, wastewater sample recoveries ranged from 83% to 140% for all pharmaceuticals, showing an acceptable performance – considering this sample contains no modeled interferences.     

Use of a discrete diode array spectrophotometer for the quantitative and qualitative analysis of cytochrome P-450

Cytochrome P-450, the hemoprotein located in the endoplasmic reticulum of mammalian cells and responsible for the metabolism of xenobiotics, was qualitatively and quantitatively analyzed using the HP-8450A diode array spectrophotometer. The diode array instrument was compared to a conventional spectrophotometer and the advantages of the diode array instrument over conventional spectrophotometry with respect to the analysis of cytrochrome P-450 were discussed.     

Validation of the analytical procedure for the determination of polyaromatic hydrocarbons in smoke flavourings using high performance liquid chromatography coupled to an ultraviolet,diode array or fluorescence detector

High performance liquid chromatography (HPLC) coupled to an ultraviolet (UV), diode array or fluorescence detector (UV/DAD/FLD) has been used to set up an analytical procedure for the quantification of 16 EU priority polyaromatic hydrocarbons (PAHs) in smoke flavourings. The following parameters have been determined for the 16 EU priority PAHs: limit of detection, limit of quantification, precision (repeatability and intermediate precision), recovery and measurement uncertainty, using the concept of accuracy profiles. They were in close agreement with quality criteria described in the Commission Regulation (EC) no. 627/2006 concerning PAHs in smoke flavourings. Presented at the AOAC Europe Workshop, November 2006, Limassol, Cyprus     

Degradation of p-aminophenol wastewater using Ti-Si-Sn-Sb/GAC particle electrodes in a three-dimensional electrochemical oxidation reactor

In this study, Ti-Si-Sn-Sb/GAC particle electrodes were prepared by sol–gel method. The particle electrodes were characterized by SEM, XRD, EDX, and BET then used to carry out three-dimensional (3D) electrocatalytic oxidation degradation on simulated refractory p-aminophenol (PAP) wastewater. The effects of initial pH, cell voltage, aeration flow rate and initial PAP concentration on degradation experiments were investigated. Under the optimal conditions, the PAP and COD removal rates were 89.45% and 75.17% respectively. In addition, the possible degradation mechanism of PAP was further investigated by UV–Vis and HPLC. Finally, it was found that the Ti-Si-Sn-Sb/GAC particle electrodes with high catalytic activity and excellent stability could significantly improve the PAP wastewater removal efficiency.     

A method for determination of COD in a domestic wastewater treatment plant by using near-infrared reflectance spectrometry of seston

This paper proposes a method for determination of chemical oxygen demand (COD) in domestic wastewater. The proposed method is based on near-infrared reflectance (NIRR) measurements of seston collected from wastewater samples by filtration. The analysis does not require any special reagent, catalyst or solvent. Inherent baseline and noise features present in NIRR spectra are removed by a Savitzky-Golay derivative procedure followed by wavelet denoising. The resulting wavelet approximation coefficients are used for partial-least-squares modelling and subsequent prediction of COD values in new samples. The model is calibrated by using COD values obtained according to the American Public Health Association (APHA) reference method. The proposed method is applied to effluent samples from the anaerobic ponds of the Mangabeira municipal wastewater treatment plant in the city of João Pessoa (Paraíba, Brazil). By comparing the NIRR prediction results with the APHA reference values, a root-mean-square error of prediction (RMSEP) of 19 mg O₂ L⁻¹ and a correlation of 0.97 were obtained. Such results are deemed adequate in view of the joint estimate of the standard error of the reference method, which was calculated as 21 mg O₂ L⁻¹.     

Comparison of several curve resolution methods for drug impurity profiling using high-performance liquid chromatography with diode array detection

The performance of five curve resolution methods was compared systematically for the identification and quantification of impurities in drug impurity profiling. These methods are alternating least-squares (ALS) with either random or iterative key-set factor analysis (IKSFA) initialisation, iterative target transformation factor analysis (ITTFA), evolving factor analysis (EFA), and heuristic evolving latent projections (HELP). Real and simulated high-performance liquid chromatography diode array detection (HPLC-DAD) data were obtained for drug mixtures containing one main compound and two impurities. The elution order of the main compound and the impurities was varied. Furthermore, resolutions were varied from 0.56 to 3.36 and impurity levels from 30% down to 0.1%. For simulated data, ALS with IKSFA initialisation and HELP perform better than ITTFA and EFA, which perform better than ALS with random initialisation. ITTFA works better than EFA for almost completely separated data, while the opposite is true for moderately or strongly overlapping data. Only ALS with IKSFA initialisation and HELP were found to resolve the required 0.1% level for moderately overlapping data. For real data, comparison of the methods provides similar results. ITTFA performs clearly better than EFA. However, none of the curve resolution methods can identify or quantify impurities at the required 0.1% level. The results for real data are worse than for simulated data because of heteroscedasticity, nonlinearity, and the acquisition resolution of the A/D-converter.     

油田含油废水处理絮凝剂的研究与应用

对国内外石油和石化行业含油废水处理常用絮凝剂进行了综合评述，较详细地介绍了它们的种类，使用性能和近期研究及应用进展情况，与无机、有机絮凝剂相比，复合絮凝剂具有效率高、实用范围广等优点。未来含油废水处理絮凝剂应向无毒，易生物降解的天然高分子改性絮凝剂、微生物絮凝剂和兼具多种功能的水处理剂方向发展。     

固相萃取-衍生化气相色谱/质谱法测定制药厂污水中的环境雌激素

采用固相萃取-衍生化气相色谱/质谱法(GC/MS)测定某制药厂污水中的雌酮(E1)、雌二醇(E2)、雌三醇(E3)和乙炔基雌二醇(EE2)4种雌激素化合物。样品经固相萃取柱萃取富集及双(三甲基硅烷基)三氟乙酰胺(1%三甲基氯硅烷)（BSTFA(1%TMCS)）衍生化后进行GC/MS分析。该法对4种目标物的检出限为1.8～4.7 ng/L,相对标准偏差为2.3%～9.1%(n=8)。目标化合物的加标回收率为（94.0±2.9）%～（101±3.8）%,说明该方法能较好地应用于污水中雌激素化合物的定量检测。通过对某制药厂污水中的雌激素进行定量分析,发现污水中乙炔基雌二醇和雌酮质量浓度分别达396.6 和39.9 ng/L;经过传统的厌氧兼氧好氧生物处理后,污水中的环境雌激素的去除率仅为35%～40%,说明传统的污水处理工艺对去除污水中雌激素效果并不明显,需要改进。     

微生物燃料电池处理餐饮废水及同步发电性能研究

针对食堂餐饮废水,建立微生物燃料电池实验系统,研究微生物燃料电池废水处理与同步发电性能。首先使用Fe(NO3)3溶液作为阴极电解液进行实验,证明餐饮废水生物降解及产电的可行性;分别采用NaCl溶液和K3[Fe(CN)6]溶液作为阴极电解液进行对比实验,研究不同运行环境下微生物燃料电池的发电性能和污水净化效果。结果表明,采用NaCl溶液和K3[Fe(CN)6]溶液作为阴极电解液时的COD去除率分别是30%和22%左右,平均电流密度分别为5.6和5.2mA/m2。在污水稀释比为2∶1、NaCl电解液浓度为0.4mol/L的情况下,微生物燃料电池系统的发电性能和净水效果达到最佳状态,稳态电流密度为8.8mA/m2,COD去除率为33.3%。     

有机膨润土对水中苯、甲苯、乙苯、二甲苯和铬酸根离子的吸附性能

污水处理;有机膨润土对水中苯、甲苯、乙苯、二甲苯和铬酸根离子的吸附性能     

分散液-液微萃取-气相色谱/质谱联用法测定机械加工水基切削液及其废水中的三氯苯

建立了以丙酮为分散剂、氯苯为萃取剂,采用分散液-液微萃取、气相色谱/选择离子质谱联用测定机械加工水基切削液及其废水中三氯苯的方法。该方法与顶空萃取、液-液萃取和固相萃取结合气相色谱/电子捕获检测法相比,具有线性范围广、富集倍数高、重现性好、操作简便、干扰小等优点。样品中三氯苯的加标回收率为94.7％~104.3％,相对标准偏差为2.3％～7.8％。三氯苯的3种同分异构体1,3,5-,1,2,4-和1,2,3-三氯苯的检出限分别为2.0,6.0和3.0 μg/L。重点探讨了萃取剂和分散剂的种类、体积、萃取时间和盐效应等对三氯苯萃取效率的影响,优化了萃取条件。考察了机械加工水基切削液中常用的添加剂对检测结果的影响,结果表明1.0％的亚硝酸钠和聚乙二醇对三氯苯的检测基本无影响。采用该方法对4种实际样品中的三氯苯进行了测定,其中两个样品中含有三氯苯,质量浓度范围为0.15～1.67 mg/L。     

Parametric study for the treatment of tannery dye wastewater by electro-oxidation

Degradation of tannery effluents is a difficult operation because of their intricate chemical structures. Most of the conventional approaches are becoming ineffective because of the wide variation in the composition of tannery effluent. Dyes from the wastewater is also dangerous, as the wastewater has negative impact on the health of human being, plants and aquatic animals. For the first time once through continuous approach was employed for the removal of Acid yellow 110 tannery dye in electro-oxidation process on Mix Metal Oxide of ruthenium and iridium on titanium sheet electrode. The effects of pH, time (t) and current (i) on % color removal and energy consumed were investigated in a batch setup and found the optimum condition with the help of RSM design. The values of the responses Y₁ and Y₂ were found to be 93.08% and 1.07 kWh/m³ respectively at the optimum condition. Toxicity Bioassay analysis, GC-MS analysis and the kinetic study were performed at optimum condition. At the flow rates of 10–40 ml/min once through continuous experiments was conducted to found the feasibility of the process at pilot scale or industrial scale application.     

Effective cleanup for the determination of six quinolone residues in shrimp before HPLC with diode array detection in compliance with the European Union Decision 2002/657/EC

A high‐performance liquid chromatographic method was developed for the determination of six quinolone residues (ciprofloxacin, enrofloxacin, sarafloxacin, oxolinic acid, nalidixic acid, and flumequine) in shrimp tissue samples. Separation was carried out by a LiChrospher® 100 RP‐8e column, running at a 22 min gradient elution program, and the mobile phase consisted of citric acid (0.4 mol/L), acetonitrile and methanol. Detection was achieved by a diode array detector, monitoring at 255 and 275 nm. Sample preparation included initial extraction with citric acid solution and further clean‐up by solid‐phase extraction, employing Lichrolut RP‐18 cartridges. Validation was performed according to the European Union Decision 2002/657/EC. The detection capability was 127.2 μg/kg for ciprofloxacin, 115.2 μg/kg for enrofloxacin, 126.2 μg/kg for sarafloxacin, 113.1 μg/kg for oxolinic acid, 125.2 μg/kg for nalidixic acid, and 239.0 μg/kg for flumequine. Recoveries ranged between 83.0 and 121.6%. The Youden test was applied to study the method ruggedness.     

Mechanism and controlling strategy of the production and accumulation of propionic acid for anaerobic wastewater treatment

The production and accumulation of propionic acid affect significantly anaerobic wastewater treatment system, but the reasons are not approached until now. Based on the results of continuous-flow tests and the analysis of biochemistry and ecology, two mechanisms of producing propionic acid have been put forward. It is demonstrated that the reasons of propionic acid production and accumulation are not caused by higher hydrogen partial pressure. The combination of specific pH value and ORP is the ecological factor affecting propionic acid production, and the equilibrium regulation of NADH/NAD+ ratio in cells is the physiological factor. Meanwhile, it is put forward that using the two-phase anaerobic treatment process and the ethanol type fermentation in anaerobic reactor to avoid propionic acid accumulation are efficient methods.     

Expanding the analytical toolbox for identity testing of pharmaceutical ingredients: Spectroscopic screening of dextrose using portable Raman and near infrared spectrometers

In the pharmaceutical industry, dextrose is used as an active ingredient in parenteral solutions and as an inactive ingredient (excipient) in tablets and capsules. In order to address the need for more sophisticated analytical techniques, we report our efforts to develop enhanced identification methods to screen pharmaceutical ingredients at risk for adulteration or substitution using field-deployable spectroscopic screening. In this paper, we report our results for a study designed to evaluate the performance of field-deployable Raman and near infrared (NIR) methods to identify dextrose samples. We report a comparison of the sensitivity of the spectroscopic screening methods against current compendial identification tests that rely largely on a colorimetric assay. Our findings indicate that NIR and Raman spectroscopy are both able to distinguish dextrose by hydration state and from other sugar substitutes with 100% accuracy for all methods tested including spectral correlation based library methods, principal component analysis and classification methods.     

A high-resolution accurate mass approach to identification of graveoline metabolites using ultra-high-performance liquid chromatography combined with a photo diode array detector and quadrupole/time-of-flight tandem mass spectrometry

Graveoline is a biologically active ingredient extracted from Ruta graveolens. Current work aimed at investigating in vitro metabolism of graveoline using rat or human liver microsomes and hepatocytes. Graveoline (20 μM) was incubated with nicotinamide adenine dinucleotide phosphate–supplemented rat and human liver microsomes as well as hepatocytes. LC coupled to a photo diode array detector and quadrupole/time-of-flight tandem mass spectrometry was used to detect and identify the metabolites. The structures of the metabolites were identified by accurate mass, elemental composition, and indicative fragment ions. A total of 12 metabolites, comprising 6 phase I and 6 phase II metabolites, were obtained. The metabolic pathways included demethylenation, demethylation, hydroxylation, glucuronidation, and glutathion conjugation. The metabolite (M10) produced by opening the ring of the methylenedioxyphenyl moiety was detected as the most abundant in both liver microsomes and hepatocytes, mainly catalyzed by CYP1A2, 2C8, 2C9, 2C19, 2D6, 3A4, and 3A5. This study provides valuable information on the in vitro metabolism of graveoline, which is indispensable for further development and safety evaluation of this compound.     

Optimization for the improvement of power in equal volume of single chamber microbial fuel cell using dairy wastewater

Microbial fuel cells (MFCs) are a type of sustainable technology that may treat wastewater and generate power at the same time. Therefore, researchers are being challenged to design a technically feasible bio electrochemical system that generates environmentally friendly and renewable electricity from waste water. The current research examined at how MFC may be used to generate electricity while treating real dairy wastewater (RDW) with Pseudomonas aeruginosa-MTCC-7814. The experiments were carried out in fed-batch mode for 15 days in two 300 ml single chamber microbial fuel cells (SCMFCs) that were connected in series. During a fed batch investigation, three process parameters such as inoculum percentage, temperature, and pH were optimized. Inoculum percentage, temperature, and pH were found to be optimal at 5%, 37 °C, and 7.4, respectively and the highest open-circuit voltage was found to be 1025 mV. The COD removal efficiency and columbic efficiency (CE) were found to be 95.84% and 37.13% respectively. The optimized fed batch process yielded the maximum current density and power density of 313 mA/m² and 105 mW/m², respectively. Thus, this work successfully demonstrates that connecting single chamber microbial fuel cells (SCMFCs) in series is a viable technique for generating sustainable power utilizing Pseudomonas aeruginosa-MTCC-7814 from dairy wastewater.     

脱硫废水蒸发增强电除尘脱除PM2.5和SO3实验研究

搭建燃煤热态实验系统,研究脱硫废水蒸发对电除尘和脱硫系统的影响;考察脱硫废水蒸发前后细颗粒粒径的变化、电除尘出口PM_2.5和SO₃浓度变化;分析增强电除尘脱除PM_2.5和SO₃机理。结果表明,脱硫废水蒸发后,蒸发室出口细颗粒粒径峰值由0.1 μm增大到1.1 μm,观察脱硫废水蒸发前后扫描电镜,明显观察到废水蒸发后颗粒团聚长大,颗粒间存在絮状物;采用脱硫废水烟道蒸发后,电除尘细颗粒脱除效率提高5%左右,PM_2.5数量浓度脱除效率提高25%左右;SO₃脱除效率为60%-80%,烟气中SO₃浓度对增强电除尘脱除PM_2.5和SO₃均有影响;脱硫废水蒸发对脱硫系统的效率和脱硫浆液的pH值没有影响。