Identification of organochlorines and organobromines in coals

Four Chinese bituminous coals were extracted with CS₂, n-hexane, benzene, methanol, acetone, tetrahydrofuran (THF) and THF/methanol (1: 3 vol/vol) mixed solvent sequentially. The resulting 28 extracts were analyzed with GC/MS. Six organochlorines (OCs) and two organobromines (OBs) were identified in eight extracts from the coals. Our experiments provide, for the first time, the information on the molecular structure of OCs and OBs in coals.     

Volatile compounds of original African black and white shea butter from Tchad and Cameroon

Shea butter is used as an edible vegetable fat in many African countries. It can be utilized as a substitute or complete replacement for cocoa butter in various applications and plays an important role in traditional African medicinal practice. Although detection of volatile compounds by solid‐phase micro‐extraction gas‐chromatography mass‐spectroscopy (SPME‐GC‐MS) is a very reliable and reproducible technique, which can be used as an important part of authenticity checking, production monitoring and contamination detection, no published data about volatile compounds of shea butter are available so far. In this investigation, the characteristic volatiles in the headspace of original African shea butter samples were identified by using SPME‐capillary‐GC coupled to a mass selective detector. Almost 100 different volatile components were identified, e.g. fatty acids, saturated and unsaturated aldehydes and ketones, terpenes, and typical Maillard reaction products such as methylfuranes and pyrazines. Furthermore, the samples have been olfactorily evaluated by a panel of professional flavorists and trained analytical chemists. It can be stated that variations in processing conditions of shea butter result in considerable differences in the composition of headspace volatiles, detected by SPME‐GC‐MS and human olfaction.     

不同品牌郫县豆瓣酱挥发性成分的比较研究

采用同时蒸馏萃取,结合气-质联机对2种不同品牌郫县豆瓣酱的挥发性成分进行了比较研究.研究结果表明：不同品牌的郫县豆瓣酱挥发性成分的差别比较大,如川花牌豆瓣酱鉴定出86种,丹丹牌78种;2种品牌豆瓣酱挥发性成分都是酯类最多,其次是醇类,然后是醛酮类等,其中含量较大的成分有3-甲基丁醇、糠醇、芳樟醇、苯乙醇、3-甲基丁醛、糠醛、苯乙醛、3-羟基-2-丁酮、乙酸乙酯、十六碳酸乙酯、亚油酸乙酯、十八碳酸乙酯、4-乙基苯酚、4-乙基-2-甲氧基苯酚和2-甲氧基-4-乙烯基苯酚等.     

神府煤萃取物组成结构的特征分析

采用苯、甲醇、丙酮、等体积的CS2与丙酮的混合溶剂和四氢呋喃依次萃取神府煤,得到其萃取物E1E5,并采用钌离子催化氧化法氧化各级萃取物,所得氧化产物经重氮甲烷酯化后再进行GC/MS分析,以产物组成结构的差异来推测各级萃取物组成结构的差异。结果表明,神府煤萃取物所得酯化产物的主要成分是烷酸甲酯和烷二酸二甲酯,推测其萃取物中含有大量的烷基芳烃和α,ω-二芳基烷烃;且随着溶剂极性的增强,其萃取物氧化后的酯化产物中,烷酸甲酯和烷二酸二甲酯的碳链长度呈一定的递增趋势,推测神府煤中长链烷基芳烃和α,ω-二芳基烷烃易溶于极性较强的溶剂;在氧化产物中还检测出19种甾烷酸甲酯、萜烷酸甲酯和霍烷酸甲酯,表明神府煤萃取物中含有与芳环相连的甾烷基、萜烷基和霍烷基结构。     

丙烯酸乙酯合成反应产物的GC／MS分析

本文叙述了丙烯酸乙酯合成产物的ＧＣ／ＭＳ分析．从分析结果看出，本应在酯化反应前除去的ＣＨ３Ｃｌ３仍有较大的含量，这也许是导致丙烯酸乙酯被氯代的原因。     

胜利褐煤二硫化碳-丙酮萃取物的超临界醇解物的GC/MS分析

胜利褐煤经CS2-丙酮混合溶剂(V/V=1 1)萃取获得萃取物EM,EM在300℃的甲醇中热溶2 h获得热溶物ET.对EM和ET进行了气相色谱/质谱联用(GC/MS)分析,在EM中有43种GC/MS可检测组分,而在ET中检测到了132种有机化合物,其中包括32种在EM中未检测到的甲酯类化合物(MAs)和16种酚类化合物.分析了MAs和酚类化合物的形成机理,得出了胜利褐煤CS2-丙酮可溶大分子化合物中可能存在的4种结构单元.本文提供了一种研究煤中可溶大分子化合物的有效方法,弥补了GC/MS在检测大分子化合物时的不足.     

基于STM32的BACnet/ZigBee互联网络的设计与实现

分析了ZigBee技术在BACnet系统扩展应用中的基本原理,深入研究了BACnet网络与ZigBee网络互联的具体实现方式以及BACnet的数据链路层MS/TP协议的工作机制,最终实现了基于嵌入式STM32的BACnet/ZigBee互联网络。实验表明,该方案能够对现场温度数据进行采集与传输。     

The future of targeted peptidomics

Targeted MS is becoming increasingly important for sensitive and specific quantitative detection of proteins and respective PTMs. In this article, Ceglarek et al. [Proteomics Clin. Appl. 2013, 7, 794–801] present an LC-MS-based method for simultaneous quantitation of seven apolipoproteins in serum specimens. The assay fulfills many necessities of routine diagnostic applications, namely, low cost, high throughput, and good reproducibility. We anticipate that validation of new biomarkers will speed up with this technology and the palette of laboratory-based diagnostic tools will hopefully be augmented significantly in the near future.     

MALDI-TOF MS: an upcoming tool for rapid detection of antibiotic resistance in microorganisms

MALDI-TOF MS profiling for microorganism detection has already been demonstrated in the 1990s, but has evolved to the first-line identification method in many laboratories just during the past five years. While this application of MALDI-TOF MS has proven its broad applicability, accuracy, robustness, and cost-effectiveness it is of particular interest to expand the capabilities of the mass spectrometric platform. Resistance detection is the most desirable further application of MALDI-TOF MS in microbiology, but maybe also the most challenging. Different approaches have been published regarding diverse antibiotic drugs and distinct microorganism classes. The current review shall give an overview about the developments of the recent years and their potential to get transformed in clinical useful assays in the future.     

Molecular interaction networks in the analyses of sequence variation and proteomics data

Protein–protein interaction networks are typically generated in standard cell lines or model organisms as it is prohibitively difficult to record large interaction datasets from specific tissues or disease models at a reasonable pace. Although the interaction data are of high confidence, they thus do not reflect in vivo relationships as such. A wealth of physiologically relevant protein information, obtained under different conditions and from different systems, is available including information on genetic variation, protein levels, and PTMs. However, these data are difficult to assess comprehensively because the relationships between the entities remain elusive from the measurements. Here, we exemplarily highlight recent studies that gained deeper insight from genetic variation, protein, and PTM measurements using interaction information pointing toward the importance and potential of interaction networks for the interpretation of sequencing and proteomics data.