顶空进样气相色谱-质谱联用法分析木棉花挥发性成分

为研究木棉Bombax ceiba 鲜花的挥发性成分,采用顶空固相微萃取-气相色谱-质谱联用法(HS-SPME-GC-MS)进行鉴定分析。通过GC-MS,采用面积归一法从木棉花中鉴定了56 个主要组分及其相对含量。结果表明,主要组分为模菲(13.74%)、(1R,3aS,5aS,8aR)-1,3a,4,5a 四甲基-1,2,3,3a,5a,6,7,8-八氢环戊二烯并[c]环戊二烯(10.95%)、2-亚甲基-4,8,8-三甲基-4-乙烯基-双环[5.2.0]壬烷(10.36%)等。其中萜烯类化合物占55.24%,烷类化合物占29.72%,还有少量的醛类、酮类和酯类化合物。     

固相微萃取-气相色谱-质谱结合电子鼻技术分析发酵乳中挥发性风味物质

【背景】德氏乳杆菌保加利亚亚种(Lactobacillus delbrueckii subsp. bulgaricus)和嗜热链球菌(Streptococcus thermophilus)作为酸奶的常用发酵剂,在乳制品生产中的应用十分广泛。【目的】在前期研究基础上,以筛选出的具有良好风味的复配发酵剂(复配比为1:100)L.delbrueckiisubsp.bulgaricusIMAU20312与S.thermophilusIMAU80809为实验对象,分析牛乳在发酵及贮藏期间风味物质的动态变化规律,为发酵剂的开发与应用提供依据。【方法】采用固相微萃取-气相色谱-质谱联用(solid-phasemicroextraction-gaschromatography-mass spectrometry, SPME-GC-MS)结合电子鼻技术检测并解析新鲜牛乳在发酵及贮藏阶段所产生的挥发性风味物质。【结果】该发酵剂在牛乳发酵及贮藏期间产生酸类物质23种,醛类物质13种,醇类物质15种,酮类物质18种,酯类物质11种,烷烃类物质22种。香气活度值(odor activity value, OAV...     

固相微萃取—气相色谱—质谱联用分析蓼实挥发性成分

察了萃取样品温度、萃取纤维吸附时间等因素对于固相微萃取蓼实挥发性成分的影响,确定较佳的实验条件为：萃取样品温度60℃,萃取纤维吸附时间60 min,脱附温度250℃,脱附时间5 min。用气相色谱—质谱联用技术测定上述条件所得蓼实挥发性化学成分,并鉴定出其中43种,占总峰面积的76.73%。其中含量较高的物质有：罗汉柏烯 (6.99%),丁香烯 (5.59%),2,5,5,8 a-四甲基-6,7,8,8a 四氢-5H-萘-1-酮(5.52%),α-丁香烯(4.29%),1,2,4a,5,6,8a-六氢-4,7-二甲基-1-异丙基萘(4.04%),环氧石竹烯(3.60%),α-香附酮(3.54%),4,5,5a,6,6a,6b-6氢-4,4,6b-三甲基-2-乙烯基-2H-环丙香豆酮(3.54%),香叶基丙酮(3.48%)。     

动态吸附与气相色谱-质谱（GC-MS）联用分析密蒙花（醉鱼草科）的挥发性花香成分

采用气相色谱-质谱联用技术对动态吸附法收集的密蒙花（Buddleja officinalis）花香成分进行了分析,并用气相色谱面积归-化法对各成分进行了定量。从密蒙花中分离出16个挥发性成分,定性定量出其中的11个,占挥发性成分总量的95．44％。其中丁基醋酸乙酯（81．57％）、苯甲醛（4．92％）、3-已烯-1-醇（3．26％）、欧洲丁香醛（2．34％）和芳樟醇（1．05％）为主要成分。该研究阐明了自然条件下密蒙花的花香成分及组成,其结果为今后定向创新醉鱼草属新香型观赏品种提供了科学依据。     

顶空固相微萃取-气相色谱质谱法分析山荆子花和叶中的挥发性成分

首次采用顶空固相微萃取-气相色谱质谱法(HS-SPME-GC-MS)分析了盛开期的山荆子花和叶中的挥发性成分,采用保留指数与质谱图库检索的方法定性,利用面积归一化法定量组份含量.鉴定出山荆子花中36种化学成分,占总含量的96.20％,主要为烷烃类(27.00％)、酯类(20.86％)、芳香醇类(11.75％)、萜类(18.78％)化合物,主要成分是2,6-二叔丁基对甲酚(BHT)为14.59％,其次为正十九烷(11.58％)、正二十一烷(8.37％)、法呢烯(8.24％)、罗勒烯(7.77％).鉴定出山荆子叶中22种化学成分,占总含量的98.04％,主要为萜类(50.84％)、烯烃类(25.33％)、酯类(9.73％)化合物,主要成分是法呢烯(40.62％),其次是唯一的烯烃4,8-二甲基-1,3,7-壬烯(26.30％)、罗勒烯(7.27％).     

顶空固相微萃取-气相色谱-质谱联用法分析香花秋海棠及其变种花香气成分

利用顶空固相微萃取结合气相色谱-质谱联用技术对盛花期的香花秋海棠(Begonia handelii)雄花及其变种铺地秋海棠(B. handelii var. prostrata)雌花和红毛香花秋海棠(B. handelii var. rubropilosa)雄花的挥发性香气成分进行分析。结果表明,从铺地秋海棠花中鉴定出香气成分32 种,其中醇类物质含量最高,占总成分50.10,其次分别为碳氢类、醛类和酸类物质,分别占总成分25.39、13.87、4.34;从香花秋海棠花中鉴定出香气成分为21种,醛类物质含量最高,占总成分57.12,其次是醇类、碳氢类、杂环类物质,分别占总成分17.37、15.31、4.88;从红毛香花秋海棠花中鉴定出香气成分44 种,醇类物质含量最高,占总成分38.22,其次是碳氢类、醛类和醚类物质,分别占总成分34.36、16.83、6.91。铺地秋海棠和红毛香花秋海棠香气成分较接近,富含具有清香、甘甜气息的芳樟醇氧化物等物质;香花秋海棠花中醛类物质含量最高,具有淡焦甜香气。     

越鞠丸石油醚提取物的气相色谱-质谱分析

采用气相色谱-质谱联用技术对中药复方越鞠丸石油醚提取物中的成分进行鉴定,共鉴定出60种成分,并采用峰面积归一化法确定了各成分的相对含量。     

气相色谱-飞行时间质谱分析杭白菊浸剂挥发性化学成分

本实验建立了气相色谱-飞行时间质谱(GC-TOFMS)分析杭白菊浸剂挥发性化学成分的方法,鉴定出33种化合物,根据内标物峰面积测定各成份的含量。利用飞行时间质谱所提供的具有精确质量的特征碎片离子峰推测出相应的元素组成,参考谱图检索结果,确认了化合物DL-苹果酸二乙酯的分子结构,并提出裂解途径。本工作对TOF MS应用于天然产物等复杂样品的成分分析有现实意义。     

气相色谱—质谱技术对艰难梭菌细胞的挥发性脂肪酸成份的鉴定

应用气相色谱技术测定艰难梭菌培养物和悉生小鼠盲肠内含物中的挥发性脂肪酸含量,并用气相色谱—质谱技术加以鉴定。结果表明2-甲基丁酸是艰难梭菌的特征性产物,以前曾被其他作者错误地鉴定为异戊酸。     

超临界二氧化碳萃取川黄柏挥发性成分及其GC—MS分析

采用超临界二氧化碳萃取技术从川黄柏中萃取分离挥发性成分,得率为4.65%.并用GC-MS联用技术对萃取物进行分析,从中分离鉴定了28个成分.川黄柏挥发性成分主要为油酸、棕榈酸、2,4,6-三甲基辛烷、2-十二烯醛、2,4-二甲基-3-庚醇、2-己内酯,5-(1,1-二甲基乙基)、硬脂酸等.     

Determination of bisphenol A in river water and body fluid samples by stir bar sorptive extraction with in situ derivatization and thermal desorption-gas chromatography-mass spectrometry

A new method, based on stir bar sorptive extraction (SBSE) with in situ derivatization and thermal desorption (TD)-gas chromatography-mass spectrometry (GC-MS) is described for the determination of trace amounts of bisphenol A (BPA) in river water, urine, plasma, and saliva samples. The derivatization conditions with acetic acid anhydride and the SBSE conditions such as sample volumes and extraction time are investigated. Then, the stir bar is subjected to TD followed by GC-MS. The detection limits of BPA in river water, urine, plasma, and saliva samples are 1-5, 20, 100, and 20pgml(-1) (ppt), respectively. Calibration for BPA was shown to be linear with a correlation coefficient of >0.99. The average recoveries of BPA in all samples are higher than 95% (R.S.D. < 10%) with correction using an added surrogate standard, 13C12-bisphenol A. This simple, accurate, sensitive, and selective analytical method may be applicable to the determination of trace amounts of BPA in liquid samples.     

Determination of urinary triclosan by stir bar sorptive extraction and thermal desorption-gas chromatography-mass spectrometry

We have developed an analytical method for the determination of urinary 5-chloro-2-(2,4-dichlorophenoxy)phenol (triclosan), which utilizes stir bar sorptive extraction (SBSE) and thermal desorption (TD)-gas chromatography-mass spectrometry (GC-MS). Human urine sample is de-conjugated by treatment with beta-glucuronidase and sulfatase. A stir bar coated with polydimethylsiloxane (PDMS) is added to the urine sample in a vial and the sample is stirred for 60 min at room temperature (25 degrees C). Then, the PDMS stir bar is subjected to TD-GC-MS. The detection limit of triclosan is 0.05 ng mL(-1). The method shows linearity over the calibration range (0.1-10 ng mL(-1)) and the correlation coefficient (r) is higher than 0.993 for triclosan standard solution. The average recoveries of triclosan in human urine sample are 102.8-113.1% (RSD: 2.4-6.7%). This simple, sensitive, and selective analytical method may be used in the determination of trace amounts of triclosan in human urine samples.     

气质联用结合多变量分析研究蜂蜜的挥发性成分

为探究不同蜜源蜂蜜中的挥发性标记物并籍以对这些蜂蜜进行有效区分,本研究优化了静态顶空气相色谱-质谱联用技术(SHS-GC-MS)检测蜂蜜中挥发性化合物的方法,采用此方法分析了油菜蜜、椴树蜜、荆条蜜和洋槐蜜等4种蜂蜜总计38份样品的挥发性成分,并结合主成分分析(PCA)和聚类分析(CA)等对蜂蜜进行区分。研究结果表明,采用SHS-GC-MS共检测到23种化合物。4种蜂蜜的挥发性成分在物质种类或含量上存在明显差异,其中3-苯丙酸乙酯可作为油菜蜜的典型挥发性代谢物质;1-异丙烯基-3-甲基苯和反式玫瑰醚可作为椴树蜜的典型挥发性代谢物质;在荆条蜜和洋槐蜜中均未发现典型挥发性代谢物质。PCA可以将4种蜂蜜进行很好地区分,PC1、PC2和PC3累计贡献率达到77.3%,表明模型有效;当临界值取10时,CA可以将同种蜂蜜聚为一类。SHS-GC-MS检测的蜂蜜挥发性成分结果结合多变量分析,可用于区分不同蜜源蜂蜜。研究结果为蜂蜜溯源和鉴别提供了理论依据。     

Stir bar sorptive extraction and thermal desorption-gas chromatography-mass spectrometry for the measurement of 4-nonylphenol and 4-tert-octylphenol in human biological samples

Alkylphenols, 4-nonylphenol (NP) and 4-tert-octylphenol (OP), in human urine and plasma samples were analyzed using stir bar sorptive extraction (SBSE) in combination with thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). The method involved correction by stable isotopically labeled surrogate standards, 4-(1-methyl)octylphenol-d5 (m-OP-d5) and deuterium 4-tert-octylphenol (OP-d). A biological sample was extracted for 60 min at room temperature (25 degrees C) using a stir bar coated with a 500 microm thick polydimethylsiloxane (PDMS) layer. Then, the stir bar was analyzed by TD-GC-MS in the selected ion monitoring (SIM) mode without any derivatization step. The average recoveries in human urine and plasma samples spiked with NP and OP at levels of 0.5 and 10 ng ml-1 were between 95.8 and 99.8% with correction using the added surrogate standards. The limits of quantitation were 0.2 ng ml-1 for NP and 0.02 ng ml-1 for OP. We measured the background levels of NP and OP in five human urine and three human plasma samples from healthy volunteers. NP and OP were not detected in all human urine samples (N.D. < 0.2 ng ml-1 for NP, and N.D. < 0.02 ng ml-1 for OP). However, 0.2-0.3 ng ml-1 for NP and 0.1-0.2 ng ml-1 for OP in human plasma samples were observed by this method.     

Stir bar sorptive extraction with in situ derivatization and thermal desorption-gas chromatography--mass spectrometry for measurement of phenolic xenoestrogens in human urine samples

A high-sensitivity analytical method that uses stir bar sorptive extraction (SBSE) with in situ derivatization and thermal desorption (TD)-gas chromatography-mass spectrometry (GC-MS) for the simultaneous measurement of trace amounts of phenolic xenoestrogens (PXs), such as 2,4-dichlorophenol (DCP), 4-tert-butylphenol (BP), 4-tert-octylphenol (OP), 4-nonylphenol technical isomers (NP), pentachlorophenol (PCP) and bisphenol A (BPA), in human urine samples was developed. The urine sample (1 ml) was de-conjugated by adding beta-glucuronidase and sulfatase. Then, protein precipitation was performed by the addition of acetonitrile. After centrifugation, the supernatant was diluted with purified water and subjected to SBSE with in situ derivatization and TD-GC-MS. The detection limits of DCP, BP, OP, NP, PCP and BPA in the urine samples were 20, 10, 10, 50, 20 and 20 pg ml-1 (ppt), respectively. The calibration curves for PXs were linear and had correlation coefficients higher than 0.99. The average recoveries of those analytes in the urine samples were higher than 95% (RSD: <10%, n=6) with correction using the added surrogate standards. This simple, accurate, sensitive and selective method can be used in the determination of PXs in human urine samples.     

Detection of volatile compounds produced by microbial growth in urine by selected ion flow tube mass spectrometry (SIFT-MS)

Selected ion flow tube-mass spectrometry has been used to measure the volatile compounds occurring in the headspace of urine samples inoculated with common urinary tract infection (UTI)-causing microbes Escherichia coli, Proteus vulgaris, Pseudomonas aeruginosa, Staphylococcus aureus, Staphylococcus epidermidis, Klebsiella pneumoniae, Enterococcus faecalis, or Candida albicans. This technique has the potential to offer rapid and simple diagnosis of the causative agent of UTIs.     

HS-SPME-GC-MS法分析3种块菌子囊果主要挥发性成分

本研究采用顶空-固相微萃取结合气相色谱-质谱联用技术(HS-SPME-GC-MS)比较分析了假喜马拉雅块菌Tuber pseudohimalayense、中华夏块菌T. sinoaestivum和印度块菌T. indicum子囊果主要挥发性有机化合物(volatile organic compounds,VOCs)组成与含量。结果表明,在3种块菌子囊果中共鉴定到173种VOCs,其中假喜马拉雅块菌、中华夏块菌和印度块菌子囊果中分别检测到79、63和71种挥发性成分,3种块菌子囊果中共有成分11种,其中1-辛烯-3-醇是含量最高的共有化合物(39.52%、38.98%和8.46%)。利用挥发性成分对3种块菌种类进行判别分析,结果表明2-丁酮、庚醛、苯乙烯、1-辛烯-3-醇和环十四烷能100.0%地将3种块菌样品按照种类正确分类。本研究初步确定了3种块菌子囊果VOCs组成和含量的差异,并探究了用VOCs相对含量区分3种块菌种类的可行性,为我国块菌质量评价,尤其是加工的块菌商品的鉴别提供了重要的理论依据。     

Defining adult asthma endotypes by clinical features and patterns of volatile organic compounds in exhaled air

Background

Several classifications of adult asthma patients using cluster analyses based on clinical and demographic information has resulted in clinical phenotypic clusters that do not address molecular mechanisms. Volatile organic compounds (VOC) in exhaled air are released during inflammation in response to oxidative stress as a result of activated leukocytes. VOC profiles in exhaled air could distinguish between asthma patients and healthy subjects. In this study, we aimed to classify new asthma endotypes by combining inflammatory mechanisms investigated by VOC profiles in exhaled air and clinical information of asthma patients.

Methods

Breath samples were analyzed for VOC profiles by gas chromatography–mass spectrometry from asthma patients (n = 195) and healthy controls (n = 40). A total of 945 determined compounds were subjected to discriminant analysis to find those that could discriminate healthy from asthmatic subjects. 2-step cluster analysis based on clinical information and VOCs in exhaled air were used to form asthma endotypes.

Results

We identified 16 VOCs, which could distinguish between healthy and asthma subjects with a sensitivity of 100% and a specificity of 91.1%. Cluster analysis based on VOCs in exhaled air and the clinical parameters FEV1, FEV1 change after 3 weeks of hospitalization, allergic sensitization, Junipers symptoms score and asthma medications resulted in the formation of 7 different asthma endotype clusters. We identified asthma clusters with different VOC profiles but similar clinical characteristics and endotypes with similar VOC profiles, but distinct clinical characteristics.

Conclusion

This study demonstrates that both, clinical presentation of asthma and inflammatory mechanisms in the airways should be considered for classification of asthma subtypes.

Electronic supplementary material

The online version of this article (doi:10.1186/s12931-014-0136-8) contains supplementary material, which is available to authorized users.     

Detection of volatile organic compounds released by wood furniture based on a cataluminescence test system

Wood furniture is an important source of indoor air pollution. To date, the detection of harmful substances in wood furniture has relied on the control of a single formaldehyde component, therefore the detection and evaluation of pollutants released by wood furniture are necessary. A novel method based on a cataluminescence (CTL) sensor system generated on the surface of nano‐3TiO₂–2BiVO₄ was proposed for the simultaneous detection of pollutants released by wood furniture. Formaldehyde and benzene were selected as a model to investigate the CTL‐sensing properties of the sensor system. Field emission scanning electronic microscopy (FESEM), transmission electron microscopy (TEM) and X‐ray diffraction (XRD) were employed to characterize the as‐prepared samples. The results showed that the as‐prepared test system exhibited outstanding CTL properties such as stable intensity, a high signal‐to‐noise ratio, and short response and recovery times. In addition, the limit of detection for formaldehyde and benzene was below the standard permitted concentrations. Moreover, the sensor system showed outstanding selectivity for formaldehyde and benzene compared with eight other common volatile organic compounds (VOCs). The performance of the sensor system will enable furniture VOC limit emissions standards to be promulgated as soon as possible. Copyright © 2015 John Wiley & Sons, Ltd.