气相色谱-串联质谱法测定不同产地大米中的角鲨烯

通过比较大米中角鲨烯的不同提取方法,选用优化后的索氏提取/气相色谱-串联质谱(GC- MS/MS)法对不同产地大米中的角鲨烯进行定性及定量分析.结果表明,该方法在1-50 mg/L质量浓度范围内线性良好,相关系数为0.9987;检出限为0.1 mg/kg;在5,20 mg/kg 2个加标水平下的回收率可达96%-104...     

邻硝基氯苯异构体成分的GC/MS分析

本文采用GC／MS分析邻硝基氯苯异构体成分，对样品前处理、溶剂及色谱条件、质谱条件、组分定量作了探讨，分析结果满意。该法无需标样，具有准确、简便、快速的特点。     

不同产地的迷迭香精油成分分析及品质研究

本文采用GC／MS和GC／FTIR法，研究了不同产地的迷迭香精油化学成分并测定了其相对含量。结果表明，国产迷迭香精油与西班牙迷迭香精油化学成分的相对含量差别较大，但其主要组成成分相同，都为α-蒎烯、1，8-桉叶素、莰烯、樟脑、龙脑和β-蒎烯。该研究为我国迷迭香的综合开发利用提供了科学的依据。     

气相色谱-质谱技术结合化学计量学对6种植物油进行判别分析

测定了6种不同种类植物油(茶籽油、大豆油、花生油、葵花籽油、玉米油和芝麻油)的脂肪酸组成及含量,旨在探讨利用植物油脂肪酸的指标对不同种类的植物油进行分类和判别的可能性。采用气相色谱-质谱联用技术,对6种不同植物油中脂肪酸的组成和含量进行测定,用SPSS.19.0统计软件进行主成分分析、聚类分析和判别分析。对6种不同植物油脂肪酸进行分析、对比,得出植物油脂的主要成分为C16∶0,C18∶0,C18∶1 cis-9,C18∶2 cis-9,12和C18∶3 cis-9,12,15。这5种主要脂肪酸的总含量在茶籽油、大豆油、花生油、葵花籽油、玉米油和芝麻油中分别为98.455%,97.586%,89.019%,97.378%,98.294%和98.021%。6种植物油的不饱和度(U/S)均大于2.000,其中最小为花生油2.055,最大为茶籽油3.976。进行主成分分析降维得到前3个主成分,因为前3个主成分的特征//值均大于1且累计贡献率达到80.060%,第1主成分的贡献率为35.853%,第2主成分的贡献率为23.847%,第3主成分的贡献率为20.360%。建立了3个典则判别函数,典则判别函数的相关系数均大于0.990,且对于茶籽油、大豆油、花生油、葵花籽油、玉米油和芝麻油的初始分类正确率为100.0%,交叉验证正确率为100.0%。     

GC—TOF／MS及主成分投影法用于安息香膏的成分分析

利用气相色谱-飞行时间质谱,对安息香膏的挥发性成分进行分析,并用峰面积归一化法计算各成分相对含量。利用在两种不同极性色谱柱上的比较试验,确定了适合安息香膏分析的色谱柱条件。在最适合安息香膏分离的色谱条件下对4种不同批次安息香膏的微差样品进行分析。通过质谱库检索,辅助英文版精油库（ES02006版）比对,解析并确定出精油中的24种组分,主要成分是苯甲酸苄酯（25．52％）、苯甲酸（23．12％）、乙基香兰素（14．93％）、苯甲醇（14．50％）、肉桂酸肉桂酯（13．41％）、肉桂酸苄酯（7．54％）等。用主成分投影分析法对4种微差样品进行分类区分,结果证明,用主成分分析法辅助GC—TOF／MS能较快速准确地对微差样品进行区分。该方法可用于安息香膏的产品开发及其品质控书1。     

广藿香超临界CO2萃取产物的GC—MS分析

采用超临界CO2流体萃取技术从广藿香中提取出挥发油,挥发油得率为2．97％（w)。采用GC－MS分离鉴定其化学组成,以面积归一化法测定其相对含量。从广藿香叶挥发油中鉴定出24个化合物,其中以广藿香醇（48．8％）、δ－愈创木烯（15．2％）、α-愈创木烯（15．3％）等为主。     

气相色谱-质谱技术结合化学计量学对5种动物油进行判别分析

测定了5种不同种类动物油(鸡油、牛油、鸭油、羊油和猪油)的脂肪酸组成和含量,探讨了利用动物油脂肪酸的指标对不同种类的动物油进行分类和判别的可能性。采用气相色谱-质谱联用技术(GC-MS)对5种动物油脂肪酸的组成和含量进行测定,利用SPSS 19.0统计软件进行主成分分析、聚类分析和判别分析。对5种动物油的脂肪酸进行统计、分析和对比,得出动物油的主要组成为C16∶0,C18∶0,C18∶1c-9,C18∶2c-9,12和C14∶0,这5种脂肪酸在鸡油、牛油、鸭油、羊油和猪油中的总含量分别为92.1%,93.5%,93.5%,90.6%和95.6%。5种脂肪酸的不饱和度均小于1。主成分分析降维得到3个主成分,利用主成分分析数据,依次进行聚类分析和判别分析,建立了3个动物油典则判别函数,相关系数均大于0.995,对于鸡油、牛油、鸭油、羊油和猪油的初始分类正确率和交叉验证正确率均为100%。     

GC/MS法分析油松节挥发油化学成分

用气相色谱-质谱法对山东昆嵛山产油松节挥发油进行化学成分的分析。采用水蒸气蒸馏法从油松节中提取挥发油。采用不同类型的毛细管柱进行分析，找出最佳分析条件，用归一化法测定其含量，并用气相色谱-质谱法对化学成分进行鉴定。共鉴定了48个成分，占挥发油总成分的84％以上。结果表明，此方法稳定可靠，重现性好，适用于中药挥发油的化学成分分析。     

不同产地石菖蒲的挥发性成分研究

采用气相色谱-质谱联用技术(GC-MS)对安徽安庆、浙江金华、河南嵩县和河南驻马店4个产地石菖蒲的挥发性成分进行了研究,共鉴定出45种化学成分,并测定了其相对含量.其中,相对含量大于1%的共有挥发性成分为β-细辛醚、γ-细辛醚、α-细辛醚和顺式-甲基异丁香酚.这4种共有挥发性成分的保留时间及相对含量可作为石菖蒲鉴别和质...     

硅烷化GC-MS指纹图谱在卷烟品牌分析中的应用

采用硅烷化衍生化法结合气相色谱-质谱(GC-MS)法对卷烟烟丝中的主要化学成分进行检测,获得了21个卷烟样品的烟丝硅烷化GC-MS指纹图谱数据,并应用聚类分析和主成分分析法对烟丝硅烷化GC-MS指纹图谱数据进行综合评价。结果表明,该方法可用于不同品牌卷烟的比较和区分,硅烷化成分的含量分布特征能反映不同品牌卷烟的特性,可为卷烟品牌的风格表征、品质维护和真伪鉴别提供参考。     

Seed metabolite profiling of Vicia species from China via GC-MS

In this study, we examined Vicia seeds using gas chromatography-mass spectrometry (GC-MS). The metabolic differences of seeds of twelve Vicia species were assessed. 184 metabolites were identified. Vicia species were classified via multivariate data analyses into four clusters. V. unijuga was most enriched in fatty acids and anthraquinones contents while highest levels of amino acids, alcohols and phenolic were in V. costata. Clustering analysis of biochemical profiles matched with the pervious phenotypic observation with all examined species from section Cracca grouped together under one sub-cluster, except for V. costata.     

GC-MS Metabolic Profile and α-Glucosidase-, α-Amylase-, Lipase-, and Acetylcholinesterase-Inhibitory Activities of Eight Peach Varieties

The inhibition of certain digestive enzymes by target food matrices represents a new approach in the treatment of socially significant diseases. Proving the ability of fruits to inhibit such enzymes can support the inclusion of specific varieties in the daily diets of patients with diabetes, obesity, Alzheimer’s disease, etc., providing them with much more than just valuable micro- and macromolecules. The current study aimed atidentifying and comparing the GC-MS metabolic profiles of eight peach varieties (“Filina”, “Ufo 4, “Gergana”, “Laskava”, “July Lady”, “Flat Queen”, “Evmolpiya”, and “Morsiani 90”) grown in Bulgaria (local and introduced) and to evaluate the inhibitory potential of their extracts towards α-glucosidase, α-amylase, lipase, and acetylcholinesterase. In order to confirm samples’ differences or similarities, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were also applied to the identified metabolites. The results provide important insights into the metabolomic profiles of the eight peach varieties and represent a first attempt to characterize the peels of the peach varieties with respect to α-glucosidase-, α-amylase-, lipase-, and acetylcholinesterase-inhibitory activities. All of the studied peach extracts displayed inhibitory activity towards α-glucosidase (IC₅₀: 125–757 mg/mL) and acetylcholinesterase (IC₅₀: 60–739 mg/mL), but none of them affected α-amylase activity. Five of the eight varieties showed inhibitory activity towards porcine pancreatic lipase (IC₅₀: 24–167 mg/mL). The obtained results validate the usefulness of peaches and nectarines as valuable sources of natural agents beneficial for human health, although further detailed investigation should be performed in order to thoroughly identify the enzyme inhibitors responsible for each activity.     

SPME/GC-MS鉴别沉香真伪方法研究

采用固相微萃取/气相色谱-质谱联用(SPME/GC-MS)对沉香的成分进行研究,建立以特征成分鉴别沉香真伪的方法。通过SPME富集沉香的气味成分,GC-MS测定其化学组成,确定天然沉香的6种特征成分,并通过面积归一化确定特征成分在气味成分中的相对含量;通过沉香样品中气味成分的种类及其相对含量与天然沉香特征成分对比,判断沉香的真伪。SPME/GC-MS法具有样品用量小、操作简便快速、检测灵敏度高、特征性强、结果准确可靠的特点,适用于沉香气味成分的分析及真伪鉴别,且不破坏沉香收藏品的整体结构,已成功用于沉香药材及其工艺品等的真伪鉴别。     

Trace Elemental Analysis of Allium Species by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) with Multivariate Chemometrics

Aerial parts and roots of the 12 Allium species collected from five localities of Turkey were studied for trace elements (Ag, As, Cd, Co, Cr, Cu, Ni, Pb, Se, Tl, V, and Zn) using inductively coupled plasma mass spectrometry (ICP-MS). A tomato leaves certified reference material was used to characterize the accuracy and precision of the analysis. Each Allium species contained Se (315–2740?µg/kg), Tl (2.75–71?µg/kg), V (77–6790?µg/kg), and Zn (3.73–26.6?mg/kg) which can meet the necessary daily intake of these minerals. In addition, chemometric analyses were performed using correlation analysis, principal component analysis, and hierarchical cluster analysis to determine the association of 12 trace elements in the Allium species. Using chemometrics, the distribution of elements between aerial parts and roots, and geographic collection localities of Allium species were also examined. This study is important the consumers because of the wide consumption of Allium species. This report is the first detailed characterization of the metal content of Allium species.     

Elucidation of Analytical–Compositional Fingerprinting of Three Different Species of Chili Pepper by Using Headspace Solid-Phase Microextraction Coupled with Gas Chromatography–Mass Spectrometry Analysis,and Sensory Profile Evaluation

The aim of the present study was to determine the volatile compounds of three different species of chili peppers, using solid-phase microextraction (SPME) methods in combination with gas chromatography–mass spectrometry (GC-MS). The detection of marker aroma compounds could be used as a parameter to differentiate between species of chili peppers for their detection and traceability in chili pepper food. The sensorial contribution was also investigated to identify the predominant notes in each species and to evaluate how they can influence the overall aroma. Three different pepper species belonging to the Capsicum genus were analyzed: Chinense, Annuum, and Baccatum. A total of 269 volatile compounds were identified in these species of chili peppers. The Capsicum annum species were characterized by a high number of acids and ketones, while the Capsicum chinense and Capsicum baccatum were characterized by esters and aldehydes, respectively. The volatile profile of extra virgin olive oils (EVOOs) flavored with chili peppers was also investigated, and principal component analysis (PCA) and hierarchical cluster analysis (HCA) of the volatile profiles were demonstrated to be a powerful analytical strategy for building a model that highlights the potential of a volatile characterization approach for use in evaluating food traceability and authenticity.     

气相色谱-质谱法和主成分投影分析法用于烟用香精的分析和质量控制

采用同时蒸馏萃取法及气相色谱-质谱法对 AB6 香精中挥发性成分进行了提取分离与测定.定性了 15 种成分,占总成分的 80.5%(截除溶剂峰),其中 4 种主要组分在10个不同批次样品中含量的相对标准偏差分别为 3.9%,6.1%,5.7%和 2.2%,由此构成合格样品库,并采用主成分投影分析法有效地区分了掺有溶剂的 AB6 香精与 AB6 香精的合格样品,随着溶剂量的增加它们之间的距离越远,同时,不同品种的香精样品之间也具有显著的差异.气相色谱-质谱法分析和主成分投影分析法可用于香精的质量控制.     

不同批次复方木鸡颗粒中无机元素的差异分析

目的通过测定8批复方木鸡颗粒中无机元素的含量,拟从无机成分的角度探讨复方木鸡颗粒的特征元素。方法采用电感耦合等离子体质谱仪(ICP-MS),以半定量分析的方式测定8批次复方木鸡颗粒无机元素的含量,建立复方木鸡颗粒无机轮廓谱,并对其差异元素中的重金属元素和人体有益元素进行全定量测定,同时,采用聚类分析和主成分分析,对其特征元素进行评价。结果构建了复方木鸡颗粒无机元素的轮廓谱,通过聚类分析和主成分分析共找到6个特征元素,包括Ca、Mg、Mn、K、Cr、Ni。结论从无机成分的角度明确了复方木颗粒的特征元素,为进一步探究复方木鸡颗粒的药效研究提供理论依据。     

Visual artificial tongue for quantitative metal-cation analysis by an off-the-shelf dye array

A chemical-probe array composed of 47 off-the-shelf dyes was prepared in solution format (New York Tongue 1: NYT-1) and was tested in the identification and quantitation of 47 cation analytes, including 44 metal ions, in addition to H(+), NH(4) (+), and tetrabutylammonium (TBA). The cation solutions were tested in a series of concentrations and the fold-change in effective absorbance was analyzed by principal-component analysis (PCA), hierarchical-cluster analysis (HCA), and nearest-neighbor decision to determine both identity and quantity of the analytes. Apart from alkali-metal ions (Na(+), K(+), Li(+), Cs(+), and Rb(+)), which behave very similarly to each other due mainly to their low response, most of the cations were clearly distinguishable at 10 mM concentration. The practical detection limit of each analyte was also determined by a sequential dilution and the nearest-neighbor decision method. In the finalized working analyte concentration range (approximately 10 mM down to 0.33 microM), by considering alkali metals as one analyte group, most of the analytes were correctly identified (99.4 %). Furthermore, the success rate at which the concentration of each analyte was correctly determined was also high (96.8 %).