A Direct Spectrofloorimetric Method for the Determination of B-Naphthoxyacetic Acid Residues in Strawberries

Abstract

β-naphthoxyacetic acid (NOA) residues in strawberries have been determined in acetone extracts using direct, first and second derivatives with spectrofluorimetric detection, without clean-up procedures needed. Solvent effects on the spectral characteristics of NOA solutions and their influences on the sensitivity of its variables and instrumental parameters are also studied. A detection limit of 1.14 ng/ml was achieved using the first derivative approach. Strawberries were fortified at different NOA concentrations (10 to 90 ng/ml). Recoveries averaged 87.2% (range 80.16–98.53) at the lower fortification level and 98.36% (range 97.54–99.63) for the higher fortification level.     

The statistical significance of selected sense–antisense peptide interactions

Sense and antisense peptides, encoded by sense and corresponding antisense DNA strands, are capable of specific interactions that could be a driving force to mediate protein–protein or protein–peptide binding associations. The complementary residue hypothesis suggests that these interactions are founded upon the sum of pairwise interactions between amino acids encoded by corresponding sense and antisense codons. Despite many successful experimental results obtained with the hypothesis, however, the physicochemical basis for these interactions is poorly understood. We examined the potential of the hypothesis for general identification of protein–protein interaction sites, and the possible role of the hypothesis in determining folding in a broad set of protein structures. In addition, we performed a structural study to investigate the binding of a complementary peptide to IL‐1F2. Our results suggest that complementary residue pairs are no more frequent or conserved than average in protein–protein interfaces, and are statistically under‐represented amongst contacting residue pairs in folded protein structures. Although our structural results matched experimental observations of binding between the peptide and IL‐1F2, complementary residue interactions do not appear to be dominant in the bound structure. Overall, our data do not allow us to conclude that the complementary residue hypothesis accounts for specific sense–antisense peptide interactions. © 2012 Wiley Periodicals, Inc.     

生物质与烟煤混合灰熔融特性影响因素的研究

为探究气氛、混合比及残炭含量对生物质与煤混合灰熔融特性的影响,将松木屑灰与乌海烟煤灰按不同质量比混合,采用智能灰熔点仪测定各混合灰样在不同气氛下的灰熔融温度,X射线衍射仪从矿物质演变角度分析混合灰熔融温度变化的原因。结果表明,由于铁尖晶石和铁橄榄石的生成,使混合灰的熔融温度在弱还原性气氛下比氧化性气氛下低,且差值的大小与混合灰中Fe含量有关;随松木屑灰含量的增加,钙铝黄长石、镁黄长石、白榴石等低温共熔物的生成量增加,使混合灰的熔融温度降低;此外,由于Fe-C共熔体(Fe_xC_y)的生成、灰锥局部还原性气氛及残炭的"骨架"作用,使混合灰的熔融温度随煤灰中残炭含量的增加呈现先升高后降低再升高的趋势。     

气相色谱-质谱法对鲜水果中5种保鲜剂残留量的同时测定

建立了气相色谱-质谱法(GC-MS)同时测定鲜水果中对羟基苯甲酸甲酯、对羟基苯甲酸乙酯、乙萘酚、4-苯基苯酚和联苯醚5种保鲜剂的分析方法。鲜水果样品经乙醚超声提取、浓缩后,活性炭柱净化,选择离子模式(SIM)下测定,外标法定量。在优化条件下,5种保鲜剂的线性范围为0.2～4.0 mg/L,相关系数(r2)大于0.991,联苯醚的检出限为0.05 mg/kg,其余4种保鲜剂的检出限均为0.1 mg/kg。5种保鲜剂的加标回收率为80.4%～104.5%,相对标准偏差(RSD)为1.2%～6.4%。该方法简便、快速、试剂价廉易得,且能消除鲜水果样品中色素等杂质的干扰,具有较高的准确度和精密度,适用于鲜水果中上述5种防腐保鲜剂残留量的测定。     

Ammonium chloride salting out extraction/cleanup for trace-level quantitative analysis in food and biological matrices by flow injection tandem mass spectrometry

A sample extraction and purification procedure that uses ammonium-salt-induced acetonitrile/water phase separation was developed and demonstrated to be compatible with the recently reported method for pesticide residue analysis based on fast extraction and dilution flow injection mass spectrometry (FED-FI-MS). The ammonium salts evaluated were chloride, acetate, formate, carbonate, and sulfate. A mixture of NaCl and MgSO₄, salts used in the well-known QuEChERS method, was also tested for comparison. With thermal decomposition/evaporation temperature of <350 °C, ammonium salts resulted in negligible ion source residual under typical electrospray conditions, leading to consistent method performance and less instrument cleaning. Although all ammonium salts tested induced acetonitrile/water phase separation, NH₄Cl yielded the best performance, thus it was the preferred salting out agent. The NH₄Cl salting out method was successfully coupled with FI/MS/MS and tested for fourteen pesticide active ingredients: chlorantraniliprole, cyantraniliprole, chlorimuron ethyl, oxamyl, methomyl, sulfometuron methyl, chlorsulfuron, triflusulfuron methyl, azimsulfuron, flupyrsulfuron methyl, aminocyclopyrachlor, aminocyclopyrachlor methyl, diuron and hexazinone. A validation study was conducted with nine complex matrices: sorghum, rice, grapefruit, canola, milk, eggs, beef, urine and blood plasma. The method is applicable to all analytes, except aminocyclopyrachlor. The method was deemed appropriate for quantitative analysis in 114 out of 126 analyte/matrix cases tested (applicability rate = 0.90). The NH₄Cl salting out extraction/cleanup allowed expansion of FI/MS/MS for analysis in food of plant and animal origin, and body fluids with increased ruggedness and sensitivity, while maintaining high-throughput (run time = 30 s/sample). Limits of quantitation (LOQs) of 0.01 mg kg⁻¹ (ppm), the ‘well-accepted standard’ in pesticide residue analysis, were achieved in >80% of cases tested; while limits of detection (LODs) were typically in the range of 0.001–0.01 mg kg⁻¹ (ppm). A comparison to a well-established HPLC/MS/MS method was also conducted, yielding comparable results, thus confirming the suitability of NH₄Cl salting out FI/MS/MS for pesticide residue analysis.     

TargetATPsite: A template‐free method for ATP‐binding sites prediction with residue evolution image sparse representation and classifier ensemble

Understanding the interactions between proteins and ligands is critical for protein function annotations and drug discovery. We report a new sequence‐based template‐free predictor (TargetATPsite) to identify the Adenosine‐5′‐triphosphate (ATP) binding sites with machine‐learning approaches. Two steps are implemented in TargetATPsite: binding residues and pockets predictions, respectively. To predict the binding residues, a novel image sparse representation technique is proposed to encode residue evolution information treated as the input features. An ensemble classifier constructed based on support vector machines (SVM) from multiple random under‐samplings is used as the prediction model, which is effective for dealing with imbalance phenomenon between the positive and negative training samples. Compared with the existing ATP‐specific sequence‐based predictors, TargetATPsite is featured by the second step of possessing the capability of further identifying the binding pockets from the predicted binding residues through a spatial clustering algorithm. Experimental results on three benchmark datasets demonstrate the efficacy of TargetATPsite. © 2013 Wiley Periodicals, Inc.     

反应温度对加氢残渣油四组分含量和结构的影响

以沙轻减渣为原料,在高压釜内研究了不同反应温度下加氢反应前后渣油的四组分含量及其结构组成变化。结果表明,加氢残渣油中的饱和分含量明显增加,而芳香分和胶质的含量均降低,四组分含量随反应温度的升高均呈现规律性变化。加氢后四组分的H/C摩尔比和平均相对分子质量均降低,芳碳分率增加。随反应温度升高,四组分的H/C摩尔比和平均相对分子质量降低,烷基碳分率降低;芳香分、胶质和沥青质的芳碳分率增加;胶质和沥青质的总环数和芳环数均降低。渣油加氢过程中四组分都发生了明显的氢解和脱烷基反应。加氢反应中,胶质和沥青质结构单元间的各种桥键可发生明显地断裂,导致其结构单元数减少,且结构单元数随反应温度的升高而减少。     

模型多肽Trp-Cage折叠形成机制的研究进展

蛋白质折叠是目前结构生物学领域的核心问题之一, 理解蛋白质结构折叠机制及其与生物功能之间的相互关系一直是生命科学家非常重要的研究内容, 并且该研究受到越来越多不同学科领域研究工作者的高度重视. 蛋白质大多数在数十毫秒、微秒或几秒内完成自我折叠过程, 但其折叠过程中所发生的分子结构精细转变却在纳秒甚至更短时间尺度内完成. 由于其折叠时间分辨率的限制, 目前无论是从常规实验还是理论计算角度对其研究都存在一定的难度. 本文首先概述了蛋白质折叠研究在实验和理论模拟方面存在的一些问题,然后以结构典型且可快速折叠的人工设计多肽Trp-cage为例,主要对其折叠过渡温度、折叠形成模型及其肽链上关键氨基酸残基在折叠过程中的作用三个方面进行了详细讨论, 综述了模型多肽Trp-cage的折叠动力学行为分别在实验和理论模拟方面的研究进展. 最后就如何有效化解蛋白质残基间相互作用网络进而降低其折叠机制的复杂性提出了一些新的建议, 不仅有助于阐明该迷你蛋白Trp-cage快速折叠、稳定形成的驱动力成因, 而且也能为蛋白质折叠机制研究和多肽设计提供有益参考.     

煤液化沥青分析表征及结构模型

对从煤液化残渣中萃取出的沥青类物质进行了固体13C-CP/MAS NMR分析、元素分析、红外光谱分析(FT-IR)和光电子能谱(XPS)分析,得到煤液化沥青的芳香结构单元信息及相关结构参数信息。结果表明,煤液化沥青芳香桥碳与周碳之比为0.115,芳香碳原子的存在形式以苯结构为主;脂肪结构多以甲基和环状亚甲基形式存在;氧主要以羰基、酯基的形式存在;氮主要以吡咯的形式存在。利用结构参数和分析表征结果构建了煤液化沥青的大分子结构模型,并运用13C-NMR预测软件ACD/CNMR Predictor计算了煤精制沥青大分子结构模型的13C化学位移。根据计算结果对大分子结构模型进行了修正,获得了与实验谱图吻合较好的大分子结构模型。     

Mn-Ce-M复合改性无硅残渣炭催化剂的NH3选择性还原NO性能研究

生物质作为极具潜力的可再生能源,其热解制油技术备受关注,副产物残渣炭的高值化利用是当下重要的研究内容之一。脱硅处理不仅可实现硅的资源化利用,同时可以实现炭材料的结构改性。本文开展了残渣炭煮溶脱硅研究,并基于最佳脱硅方式,探究不同金属M（M：Ho、Sb、La、Nd）对无硅残渣炭（FRB）催化剂的脱硝性能的影响规律。结果表明：煅烧预处理结合煮溶脱硅可以脱除99%以上的SiO2,脱硅的同时理化性质显著改善,表现出较大的比表面积（1923 m2/g）、丰富的介/微孔结构以及表面含氧官能团,并促进了催化剂的SCR反应活性（250℃时NOx脱除率可达100%）。此外,Ho改性无硅残渣炭脱硝催化剂具有最好的低温脱硝活性,在200~300℃范围内保持80%以上的脱硝效率。表征结果显示,MnCeHo/FRB催化剂具有较强的表面酸性和氧化还原性,活性组分在载体上均匀分散,且表面化学吸附氧较为丰富。此外,In-situ DRIFTs实验表明MnCe/FRB催化剂表面同时存在E-R和L-H机理,但E-R机理占主要地位。