聚合物光纤布拉格光栅在固体火箭发动机大应变测量中的应用

论证了聚合物光纤布拉格光栅(POFBG)在固体火箭发动机(SRM)纤维缠绕壳体大应变测量中应用的可行性。介绍了POFBG的制作和应用情况,阐述了POFBG传感方面的工作。建立了POFBG的应变模型、温度模型和湿度模型,分析了应变参量、温度参量、湿度参量对反射波长漂移量的影响,并提出了应变参量与湿度参量、温度参量分离的方案。通过MATLAB,对应变、温度和湿度变化进行了数值仿真。结果表明:反射波长随应变的增加而增大,随温度的升高而减小,随湿度的增加而增大,并受到温度和湿度的交叉影响,这与文献报道的实验结果比较吻合。文中的研究有益于进一步开展聚合物光纤光栅在SRM纤维增强复合材料应变测量中的研究。     

胶结土石混合体力学特性的块石形状效应细观机理分析

考虑块石形状为球体、正方体和长方体三种情况,通过正方体与球体相比较来探究块石不同棱角度对胶结土石混合体力学特性的影响,通过长方体与正方体相比较来探究块石不同球度对胶结土石混合体力学特性的影响.首先,基于不规则颗粒三维离散元精细模拟技术实现了正方体和长方体块石数值模型的建立;然后建立含石量为30%和80%的块石形状分别为球体、正方体和长方体的胶结土石混合体三维离散元随机结构模型;最后,对土石混合体大三轴试验进行颗粒流数值模拟,获得了不同含石量、不同块石形状下胶结土石混合体的强度特征和变形特征,并分别就低、高两种含石量下块石形状对土石混合体力学特性影响的细观机理进行了深入地分析.结果表明:块石含量和形状均会显著影响胶结土石混合体的力学特性,并且两者间具有复杂的交互作用;微裂纹、块石颗粒平均旋转量、应变能和摩擦功等的演化规律能够很好地从细观水平上反映块石形状影响的作用机理.     

红外热波方法检测壳状结构脱粘缺陷

根据某型固体火箭发动机钢壳体/橡胶绝热层的实际结构特点,制作了含6个脱粘缺陷的壳状实验样本,基于脉冲式红外热渡方法进行了检测研究.针对实验获取的红外热图存在"非均匀受热、表面反射、噪音大、对比度低"等问题,采用去除背景和高频强调滤波等方法对原始热图进行非均匀性校正和图像增强处理,基于数学形态学的分水岭方法实现了缺陷位置...     

High performance liquid chromatography —Electrospray tandem mass spectrometry (HPLC-ESI-MS-MS) for the analysis of heterocyclic aromatic amines (HAA)

Summary Sensitive and selective detection of the sixteen most abundant heterocyclic aromatic amines (HAA) has been achieved by application of high performance liquid chromatography-electrospray tandem mass spectrometry (HPLC-ESI-MS-MS) in combination with selected reaction monitoring (SRM). Detection limits between 0.1 and 50 ng mL^–1 were established by use of HAA model solutions.     

分散固相萃取-气相色谱-串联质谱法测定蔬菜中107种农药的残留量

采用分散固相萃取-气相色谱-串联质谱(QuEChERS-GC-MS/MS)建立了蔬菜中107种农药残留量的分析方法。样品由含1%冰醋酸的正己烷饱和乙腈提取、分散固相萃取法净化,采用气相色谱-串联质谱方法在分时段选择反应监测模式下进行测定,外标法定量。所有农药在0.05～1 mg/L范围内线性关系均良好;所有农药的方法定量限(LOQ)均低于10 μg/kg;在10 μg/kg的添加水平下,大蒜、青刀豆、萝卜和菠菜4种基质中绝大多数农药的平均回收率处于60%～130%之间,相对标准偏差(RSD)不大于15.3%。该方法不仅能用于多种蔬菜基质中107种农药残留的检测,而且还能较好地解决本底成分相当复杂的大蒜基质极易出现的干扰问题。     

A systematic approach to quantitation of ephedra alkaloids in natural health products

A method for accurate determination of ephedrine (E) alkaloids in natural health products (NHP) is described. The NIST dietary supplement standard reference materials (SRMs) were selected for these studies. These SRMs comprise ground Ma Huang herb (Ephedra sinica Stapf.), a spray dried extract of the former, and commercial formulations derived from gel caps and a protein drink. The efficiency of sonication-assisted extraction and Soxhlet extraction was studied using both ammonium formate and potassium phosphate in 3% methanol as extraction media. The efficiency of SPE clean-up of the extract deteriorated rapidly when increasing amounts of sample matrix or analyte were processed, because of limited cartridge capacity. Quantitation by the method of additions was required to ensure the highest accuracy using both LC–UV and ES–LC–MS–MS techniques. Whereas the LC–UV method is more convenient and precise, the results are more questionable than ES–LC–MS–MS, because species-specific detection is not possible.     

Long-term stability of hydrocarbons in NIST gas standard reference material (SRM) 1800

A gas standard reference material (SRM) containing fifteen hydrocarbons in nitrogen at a nominal 5 nmol mol(-1) was issued in 1993. The certification period for SRM 1800 was assigned as 2 years, because of limited stability data. Over a period of 10 years reanalysis of the lot standard (a sample chosen from the SRM lot to which all other lot samples are compared), SRM samples remaining in stock for sale, and SRMs returned to the National Institute of Standards and Technology (NIST) for recertification, were compared with primary standards to assess the stability of the hydrocarbons. New primary standards were periodically introduced into the original primary standard suite to assess the stability and consistency of the primary standards. Over this ten-year period 11 SRM 1800 samples were reanalyzed, resulting in 210 amount-of-substance fraction (concentration) determinations performed for quality-assurance purposes. Of these measurements 209 (99.5%) agreed within the original 95% confidence interval of the +/-4% expanded uncertainty, demonstrating the stability of the standards. There was also agreement to within +/-2% of the original concentration for 204 (97%) of the measurements. This is well within the original +/-4% expanded uncertainty assigned to the hydrocarbon concentrations at the approximate 95% confidence interval demonstrating stability. These results will enable the expiry date to be increased for future restock issues of SRM 1800.     

CuO-ZnO-ZrO2催化甲醇水蒸汽重整反应机理和中间态

应用质谱在线技术,对CuO-ZnO-ZrO2催化甲醇水蒸汽重整（SRM）反应进行程序升温脱附（TPD）和程序升温表面反应（TPSR）研究.结果表明:在反应态催化剂表面,甲醇以分子吸附态形式存在,甲醇水蒸汽重整反应经历甲酸根中间物种.分别用CuO、CuO-ZnO、CuO-ZnO-ZrO2作催化剂,甲醇在气流中的摩尔分数分别高于5.4％、0.37％和0.17％时,甲酸根中间态的分解产物为CO2和H2;而甲醇在气流中的摩尔分数分别低于5.4％、0.37％和0.17％时,甲酸根中间态的分解产物为CO、CO2和H2.     

Structural characterisation of some fatty acids from the brain as biomarkers of BSE risk material

Identification of bovine and ovine tissue from the central nervous system (CNS: brain and spinal cord) in meat products is possible by using certain CNS fatty acids as biomarkers in GC–MS analysis. Furthermore, the relationship between the isomers of the tetracosenic acid (C24:1) is important for differentiation of the species and age of the CNS in view of the legal definition of specified risk material (SRM). This has so far been referred to as the cis/trans ratio of the isomers of nervonic acid; however, structural analysis was not performed. Here we present results from GC–MS structural analysis by retention time and DMDS adduct profiling of the even numbered monoenoic fatty acids from C18:1 to C26:1. Retention times and mass spectra of the FAME standards indicated that the so far designated trans-nervonic acid has a different isomeric structure in the tetracosenic acid from brain-sample extracts. By performing GC–MS analysis of DMDS adducts we have shown that this isomer was actually cis-17-tetracosenic acid in all species so far tested, not trans-15-tetracosenic acid (trans-nervonic acid). The tetracosenic acid isomer ratio proved to be species-specific in accordance with previous results. Thus, instead of the ratio of cis/trans isomers of nervonic acid, the ratio of 9/7-tetracosenic acid (15c-C24:1/17c-C24:1) will have to be used as a correct reference in future publications. Although trans isomers were not detectable in sheep and cattle brain, porcine brain contained, in addition to cis-17-tetracosenic acid, small amounts of the trans isomers of the C18:1, C20:1, C24:1, and C26:1 fatty acids, in decreasing quantities. In future, this might be useful as another means of differentiation between porcine CNS (non-SRM) and ovine or bovine CNS (SRM). Extensive follow-up studies must be performed to elucidate the extent to which this GC–MS approach will facilitate the detection of CNS according to the legal SRM definition.     

GC-MS detection of central nervous tissues as TSE risk material in meat products: analytical quality and strategy

The detection of central nervous system (CNS) tissue (i.e. brain and spinal cord) by the use of GC-MS and certain fatty acids (FAs) as their methyl esters (FAMEs) was previously shown to be a very promising approach towards identification of CNS tissue as a specified risk material (SRM) in meat products, contrasting available immunochemical methods. This GC-MS method promised to allow quantification of CNS material as low as 0.01%. Here, we show that the CNS-relevant FAMEs C22:6, C24:19, C24:17, C24:0 and C24-OH are present in pure muscle and adipose tissue samples in detectable amounts. Thus, limits of detection are not feasible as quality parameters in this analytical GC-MS approach. Instead, cut-off values have to be applied as calculated from the baseline content of the respective FAME in CNS-free samples and its variation for a given statistical security. Furthermore, the FAs used for quantification of the CNS showed distinct differences depending on species and age. This finding is in accordance with previous studies where it had been concluded that species and age differentiation of CNS might be possible with GC-MS. However, it was not taken into account that it also necessitates a strict analytical strategy for quantification of the CNS content: identification of the presence of CNS (step 1); identification of species and age (step 2); and quantification by use of a species- and age-specific CNS calibration (step 3). Differences between the FA content of the CNS used for calibrating and the CNS in the sample will cause up to fivefold deviation from the true CNS content. Our results show that the FA best suited for identification (step 1) and quantification (step 3) purposes is cerebronic acid C24-OH after silylation. Further in-depth studies are needed in order to elucidate variability of brain FA content and to determine analytical limits. However, the present GC-MS approach is already a highly promising supplement to existing immunochemical methods for the detection of traces of CNS material in meat products.