Total Synthesis of the Postulated Structure of Fulicineroside

A total synthesis of the proposed structures of fulicineroside and its aglycone fulicinerine is reported. The tetrasubstituted dibenzofuran substructure was accessible either through a Pd‐mediated ortho‐metalation or by an Ir‐catalyzed meta‐borylation. The synthesis of the β,β,α‐linked trisaccharide consisting of D ‐olivose, L ‐rhodinose, and L ‐rhamnose was challenged by the unprecedented β‐linked rhodinose. A Pd‐catalyzed β‐selective glycosylation of a 4‐epi‐rhodinose and a subsequent Mitsunobu inversion provided selectively the β‐linked L ‐rhodinose‐L ‐rhamnose disaccharide. Comparison with the reported data for the natural product and the aglycone suggests a misassignment of the structure of the natural product.     

应用人工神经网络预测多氯代二苯骈呋喃的色谱保留指数

以量子化学方法在密度泛函B3LYP/6-31G(d)水平上计算得到了多氯代二苯骈呋喃系列化合物(PCDF)分子的结构参数:最高占据轨道能(EHOMO)、最低空轨道能(ELUMO)、最正原子净电荷(q+)、最负原子净电荷(q-)、分子偶极矩(μ)、极化率(α)、分子平均体积(Vm)、恒容热容(C■V).采用误差反向传播(BP)算法的人工神经网络,建立了EHOMO、ELUMO、q+、q-、μ、α、Vm、C■V与PCDF色谱保留指数之间关系的模型,检测样本的预报值与实验值相对误差范围为-1.66%².39%,平均相对误差为0.31%,达到了很好的预测效果.     

双重净化/气相色谱法测定水产品中指示性多氯联苯

为考察水产品中7种指示性多氯联苯(PCBs)残留,建立了水产品中痕量多氯联苯测定的双重净化/气相色谱法。样品用丙酮-正己烷(1∶4)混合溶剂提取,提取液经浓硫酸净化后再经硅胶分散固相萃取净化,气相色谱仪分析。优化的色谱条件为:选用HP-5(30 m×0.32 mm×0.25μm)石英毛细管柱,流速0.80 mL/min,进样量1.00μL,程序升温分离,采用电子捕获检测器进行测定。结果表明:在优化条件下,7种多氯联苯在10~500μg/kg范围内线性关系良好,相关系数均不低于0.99,不同基质的检出限(S/N=3)为0.72~4.1μg/kg,定量下限(S/N=10)为2.4~13.7μg/kg。对于鲳鱼、明虾和贻贝的空白样品,在10,20,100μg/kg 3个加标水平下7种多氯联苯的回收率为76.5%~104.8%,相对标准偏差(RSD)为1.6%~10.4%。本方法操作简便、快速、准确,可用于水产品中指示性多氯联苯残留量的日常检测。     

Application of carbon-based nanomaterials in sample preparation: A review

In this paper, a broad overview on the applications of different carbon-based nanomaterials, including nanodiamonds, fullerenes, carbon nanotubes, graphene, carbon nanofibers, carbon nanocones-disks and nanohorns, as well as their functionalized forms, in sample preparation is provided. Particular attention has been paid to graphene because many papers regarding its application in this research field are becoming available. The distinctive properties, derivatization methods and application techniques of these materials were summarized and compared. According to their research status and perspective, these nanomaterials were classified in four groups (I: graphene and carbon nanotubes; II: carbon nanofibers; III: fullerenes; and IV: nanodiamonds, carbon nanocones/disks and carbon nanohorns) and characteristics and future trends of every group were discussed.     

水对垃圾焚烧飞灰二(噁)英从头合成的影响

采用垃圾焚烧飞灰在小型管式炉上进行了二(口恶)英的从头合成试验,通过控制水分在气流中的比例,研究不同的水分对二(口恶)英的总量,毒性当量以及分布特性的影响。结果表明,水分整体上对二(口恶)英从头合成具有促进作用,并提高了二(口恶)英排放的毒性当量,但没有发现对分布特性有明显的影响。可能的反应途径水分通过活化飞灰的活性位置,从而促进了二(口恶)英的生成。在氮气反应气氛中的试验表明,水分可以为二(口恶)英的生成提供氧。     

微波辅助-微固相在线萃取/气相色谱质谱联用法对污泥中19种多氯联苯的测定

建立了微波辅助-微固相在线萃取/气相色谱-质谱联用(GC-MS)测定污泥中19种多氯联苯(PCBs)含量的分析方法。对微波辅助-微固相在线萃取条件进行优化,得出最优萃取条件为:萃取温度60℃,萃取时间25 min,解吸溶剂为乙酸乙酯,解吸剂用量150μL,解吸时间25 min。在优化条件下,方法的检出限为0.2~2.5 ng/g,相对标准偏差(RSD)小于14%,回收率为81.4%~102.1%。与传统的微波萃取、微固相萃取、超声萃取等方法相比,该方法集萃取、净化和浓缩于一体,极大地缩短了分析时间,适合于复杂环境样品体系中痕量PCBs的分析检测。     

Identification of Endocrine Disrupting Chemicals using a Virus‐Based Colorimetric Sensor

A simple and portable colorimetric sensor based on M13 bacteriophage (phage) was devised to identify a class of endocrine disrupting chemicals, including benzene, phthalate, and chlorobenzene derivatives. Arrays of structurally and genetically modified M13 bacteriophage were fabricated so as to produce a biomimetic colorimetric sensor, and color changes in the phage arrays in response to several benzene derivatives were characterized. The sensor was also used to classify phthalate and chlorobenzene derivatives as representatives of endocrine disrupting chemicals. The characteristic color patterns obtained on exposure to various benzene derivatives enabled similar chemical structures in the vapor phase to be classified. Our sensing approach based on the use of a genetically surface modified M13 bacteriophage offers a promising platform for portable, simple environmental monitors that could be extended for use in numerous application areas, including food monitoring, security monitoring, explosive risk assessment, and point of care testing.     

Determination of trace polychlorinated biphenyls and organochlorine pesticides in water samples through large‐volume stir bar sorptive extraction method with thermal desorption gas chromatography

A fast and sensitive analytical method based on stir bar sorptive extraction technology with gas chromatography and mass spectrometry was developed to simultaneously analyze 18 kinds of polychlorinated biphenyls and 20 kinds of organochlorine pesticides in aqueous samples. A long adsorption time and small sample volume, which are problems encountered in conventional methods of stir bar sorptive extraction, were effectively solved by simultaneously using multiple stir bars for enrichment with sequential cryofocusing and merged injection. Optimized results showed good linear coefficients in the range of 10–500 ng/L and the method detection limits of 0.12–2.07 ng/L for polychlorinated biphenyls and organochlorine pesticides. The recovery ratios of the spiked samples at different concentrations were between 64.7 and 111.0%, and their relative standard deviations ranged from 0.9 to 17.6%. Four types of the studied compounds were determined in Qiantang River water samples, and their contents were between 0.82 and 5.00 ng/L.     

Polychlorinated naphthalene concentrations and profiles in cheese and butter,and comparisons with polychlorinated dibenzo-p-dioxin,polychlorinated dibenzofuran and polychlorinated biphenyl concentrations

Polychlorinated naphthalenes (PCNs) are candidates for inclusion in the Stockholm Convention on persistent organic pollutants. PCNs are structurally and toxicologically similar to 2,3,7,8-tetrachlorodibenzo-p-dioxin (2,3,7,8-TCDD) and its analogues. Intake in food is considered to be an important human exposure pathway for PCNs. In this preliminary study, cheese and butter samples were analysed for PCNs, polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs) and polychlorinated biphenyls (PCBs) using an isotope dilution gas chromatography high-resolution mass spectrometry method. The aim of this study was to evaluate the PCN concentrations in the cheese and butter samples and to compare them with the PCDD, PCDF and PCB concentrations. The PCN concentrations were 5.6–103 pg g^?1 of wet weight in the seven cheese samples tested and 5.0–199 pg g^?1 of wet weight in the seven butter samples tested. The mass concentrations of lower chlorinated congeners were greater than those of the higher chlorinated congeners. Congeners of CN45/36, CN27/30 and CN33/34/37 were much more abundant than other congeners found in tetrachlorinated PCNs. Congeners of CN51, CN66/67 and CN73 were determined to be the predominant congeners in penta-, hexa- and heptachlorinated homologs, respectively. The PCNs contributed around 5% of the total PCN, PCDD, PCDF and PCB toxic equivalence (TEQ) values. CN73 was found to be the dominant PCN congener and contributed more than 40% to the PCN TEQ value. Congeners CN66/67, CN69 and CN63 were also found at relatively high levels. The PCB congener CB118 was the predominant congener (by mass-based concentration) of the 12 dioxin-like PCBs (dl-PCBs). The PCBs contributed 53.8% of the total TEQ, and congener CB126 contributed more than any other compound that was analysed to the total TEQ. The PCDDs and PCDFs contributed 11.6% and 29.7% of the total TEQ values, respectively.