高效液相色谱法同时测定纺织品中10种酚类化合物

建立了高效液相色谱法同时测定纺织品中五氯苯酚、2,3,4,5-四氯苯酚、2,3,4,6-四氯苯酚、2,3,5,6-四氯苯酚、2,4,5-三氯苯酚、2,4,6-三氯苯酚、邻苯基苯酚、间羟基联苯、2-萘酚、对硝基苯酚10种酚类化合物的检测方法。纺织品中的酚类化合物经甲醇超声提取、浓缩后,以ZORBAX SB-C18柱(4.6 mm×150 mm,5μm)为分析柱,乙腈和0.01 mol/L磷酸溶液为流动相梯度洗脱,采用二极管阵列检测器,在220 nm和310 nm波长下进行高效液相色谱检测,紫外光谱库确证,外标法定量。10种酚类化合物在0.3～37 mg/L浓度范围内与其峰面积呈良好的线性关系,相关系数为0.999 1～0.999 5;以不低于3倍的信噪比计算10种酚类化合物的检出限(LOD)为0.003 0～0.041 1 mg/kg;定量下限(LOQ,S/N≥10)为0.010 0～0.1370 mg/kg。棉、麻、毛3种纺织品基质在3个不同加标水平的回收率为81%～105%,相对标准偏差(RSDs)为1.7%～8.5%。该方法能同时完成10种酚类化合物的确证和分析,可用于纺织品中酚类化合物残留的检测分析。     

超高效液相色谱串联质谱法同时快速测定牛奶中不同类型的11种兽药残留

建立了超高效液相色谱串联质谱测定牛奶中四环素类、青霉素类、磺胺类和泰乐菌素等11种兽药残留的检测方法。样品经乙腈超声提取后离心分离,上层清液稀释10倍后过0.2μm滤膜上机测定。在优化条件下,11种兽药在其线性范围内的相关系数均在0.998以上,定量下限(LOQ,S/N=10)为0.3～15μg/kg,在低、中、高3个水平下的加标回收率为81%～117%,相对标准偏差为0.6%～10.2%。方法用于实际牛奶样品中兽药残留量的测定,结果满意。     

氘代甲基萤火虫荧光素的全合成

以2-氰基-6-甲氧基苯并噻唑为原料,经脱甲基、氘甲基化,与D-半胱氨酸盐酸盐水合物反应合成了新化合物——氘代甲基萤火虫荧光素,总收率46%,对映选择性100%,其结构经1H NMR,FT-IR和MS表征。     

Theoretical studies on the structures, heats of formation, energetic properties and pyrolysis mechanisms of nitrogen-rich difurazano[3,4-b:3′,4′-e]piperazine derivatives and their analogues

The molecular structure, heats of formation, energetic properties, strain energy and thermal stability for a series of substituted difurazano[3,4-b:3′,4′-e]piperazines and their analogues were studied using density functional theory. The results show that it is a useful way to increase the heat of formation values of energetic compounds by incorporating a five- or six-membered aromatic heterocycle to construct a fused ring system. The calculated detonation properties reveal that introducing one heterocycle to construct a fused ring structure greatly enhances their detonation properties. The substitution of the –NF₂, –NO₂ or –NHNO₂ group is very useful for enhancing the detonation performance for the substituted derivatives. According to molecular structure and natural bond orbital analysis, the introduction of the –NO₂, –NF₂ or –NHNO₂ group decreases the stability of the substituted derivative. There is a weak N–NO₂ bond conjugation in the NO₂-substituted derivatives. An analysis of the bond dissociation energies for several relatively weak bonds suggests that all the unsubstituted derivatives have good thermal stability, but the substitution of –NO₂ or –NF₂ remarkably decreases their stability. Considering the detonation performance and thermal stability, eight compounds may be considered as the potential candidates of high-energy density materials with less sensitivity.     

Application of graphene for the analysis of pharmaceuticals and personal care products in wastewater

A novel and reliable analytical method based on a graphene adsorbent for solid-phase extraction (SPE) derivatized with N-tert-butyldimethylsilyl-N- methyltrifluoroacetamide and analyzed by gas chromatography–mass spectrometry was developed for determination of nine pharmaceuticals and personal care products (PPCPs) in wastewater samples. Different ratios of graphene/silica gel were tested, with 20 % graphene/silica gel giving the best performance as an SPE adsorbent. The mean recoveries of the target analytes obtained by 20 % graphene/silica gel SPE ranged from 58.1 to 87.6 %. The limit of quantification ranged from 30 to 259 ng/L and from 13 to 115 ng/L for the influent and effluent, respectively. By comparing the accuracy and precision of 20 % graphene/silica gel and Oasis HLB SPE cartridges, we demonstrated that the method can be satisfactorily used for the analysis of PPCPs in wastewater samples. We applied the method to wastewater samples from a sewage treatment plant near Riverside, California, to track the concentration change of PPCPs in the treatment processes.     

Quantitative microfluidic biomolecular analysis for systems biology and medicine

In the postgenome era, biology and medicine are rapidly evolving towards quantitative and systems studies of complex biological systems. Emerging breakthroughs in microfluidic technologies and innovative applications are transforming systems biology by offering new capabilities to address the challenges in many areas, such as single-cell genomics, gene regulation networks, and pathology. In this review, we focus on recent progress in microfluidic technology from the perspective of its applications to promoting quantitative and systems biomolecular analysis in biology and medicine.     

Highly porous magnetite/graphene nanocomposites for a solid-state electrochemiluminescence sensor on paper-based chips

Graphene-nanosheet-based highly porous magnetite nanocomposites (GN-HPMNs) have been prepared using a simple solvothermal method and used as an immobilization matrix for the fabrication of a solid-state electrochemiluminescence (ECL) sensor on paper-based chips. Highly porous Fe₃O₄ nanocrystal clusters were coated with acrylate and wrapped tightly on the skeleton of graphene nanosheets. The structures and sizes of the GN-HPMNs could be tuned by varying the proportions of the solvents ethylene glycol and diethylene glycol. Then, the relatively highly porous ones with an average diameter of about 65 nm were combined with Nafion to form composite films on an electrode surface for immobilization of Ru(bpy)₃ ²⁺ (bpy is 2,2′-bipyridine). Because of their porosity, negatively charged surface, and cooperative characteristics of magnetic nanomaterials and graphene, under an external magnetic field, the GN-HPMNs ensured effective immobilization, excellent electron transfer, and long-term stability of Ru(bpy)₃ ²⁺ in the composite film. The sensor developed exhibited excellent reproducibility with a relative standard deviation of 0.65 % for 30 continuous cycles. It was found to be much more favorable for detecting compounds containing tertiary amino groups and DNAs with guanine and adenine. A detection limit (signal-to-noise ratio of 3) of 5.0 nM was obtained for tripropylamine. As an application example, 0.5 nM single-nucleotide mismatch could be detected. This was the first attempt to introduce magnetic nanomaterials and an external magnetic field into paper-based chips. The sensor developed has the advantages of high sensitivity, good stability, and wide potential applicability as well as simplicity, low cost, and good disposability.

Optimization of microwave‐assisted extraction for anthocyanins,polyphenols, and antioxidants from raspberry (Rubus Coreanus Miq.) using response surface methodology

Anthocyanins (Acys), polyphenols, and antioxidants were extracted from raspberry (Rubus Coreanus Miq.) using a highly efficient microwave‐assisted extraction technique. Different solvents, including methanol, ethanol, and acetone, were tested. The colors of the extracts varied from light yellow to purple red or dark red. SEM and other nutrient analyses verified that ethanol was the most favorable medium for the microwave‐assisted extraction of raspberry due to its high output and low toxicity. Effects of process parameters, including microwave power, irradiation time, and solvent concentration, were investigated through response surface methodology. Canonical analysis estimated that the highest total Acys content, total polyphenols content, and antioxidant activity of raspberry were 17.93 mg cyanidin‐3‐O‐glucoside equivalents per gram dry weight, 38.57 mg gallic acid equivalents per gram dry weight, and 81.24%, respectively. The polyphenol compositions of raspberry extract were identified by HPLC with diode array detection, and nine kinds of polyphenols were identified and quantified, revealing that chlorogenic acid, syringic acid, and rutin are the major polyphenols contained in raspberry fruits. Compared with other fruits and vegetables, raspberry contains higher Acy and polyphenol contents with stronger antioxidant activity, suggesting that raspberry fruits are a good source of natural food colorants and antioxidants.     

Evaluation of the combinative application of SDS and sodium deoxycholate to the LC–MS‐based shotgun analysis of membrane proteomes

SDS and sodium deoxycholate (SDC) as two representative detergents have been widely used in LC–MS/MS‐based shotgun analysis of membrane proteomes. However, some inherent disadvantages limit their applications such as interference with MS analysis or their weak ability to disrupt membranes. To address this, the combinative application of SDS and SDC was developed and evaluated in our study, which comprehensively used the strong ability of SDS to lyse membranes and solubilize hydrophobic membrane proteins, and the high efficiencies of an optimized acetone precipitation method and SDC in sample clean‐up, protein recovery, and redissolution and digestion of precipitated proteins. The comparative study using a rat‐liver‐membrane‐enriched sample showed that, compared with other three commonly used methods including the filter‐aided sample preparation strategy, the combinative method not only increased the identified number of total proteins, membrane proteins, and integral membrane proteins by an average of 19.8, 23.9, and 24.8%, respectively, but also led to the identification of the highest number of matching peptides. All these results demonstrate that the method yielded better recovery and reliability in the identification of the proteins especially highly hydrophobic integral membrane proteins than the other three methods, and thereby has more potential in shotgun membrane proteomics.     

HPLC-DAD data coupled with second-order calibration method applied to food analysis: Simultaneous determination of six benzoylurea insecticides in various fruit samples by selecting time region of chromatogram

This work presents a novel application of second-order calibration based on self-weighted alternating trilinear decomposition(SWATLD)algorithm for analyzing the HPLC-DAD data.The proposed method makes it possible to simultaneously determine teflubenzuron,hexaflumuron,flufenoxuron,chlorfluazuron,diflubenzuron and benzoylurea in different fruit samples,i.e.pear,apple and banana,in the selected time region of chromatogram.The concentration,elution time and spectral information of these benzoylurea insecticides are selectively extracted from complex matrices even in the presence of unknown interferences.The root-mean-square error of prediction(RMSEP)and figures of merit,including sensitivity(SEN),selectivity(SEL)and limit of detection(LOD)are employed to access the performance of the method.The LODs obtained for these insecticides are within the range 0.017–0.26 ppm in pears,0.039–0.33 ppm in apples,0.041–0.44 ppm in bananas,respectively.Such a chemometrics-based protocol holds great potential to be extended as a promising alternative for more practical applications in food safety and quality monitoring.