GC-MS法测定油漆行业废气化学成分及化学计量学解析

采用GU/MS法分离测定油漆行业废气污染物化学成分,利用化学计量学解析法(CRM)对重叠的色谱峰进行解析,得到各成分的纯色谱曲线和质谱,通过质谱库对解析的纯组分进行定性,用解析色谱曲线积分法进行定量.从25个色谱峰中解析出了49个组分,按检索相似度大于90%的原则,鉴定出了其中40个化合物,占总含量的92.3%.废气污染物的主要成分为苯系物和烷烃,分别占总含量的46.8%和27.2%.     

用熵最小算法解析桂郁金挥发油GC-MS重叠谱

采用气相色谱-质谱(GC-MS)联用技术对桂郁金中提取的挥发油成分进行检测,同时用熵最小算法对其中的共流物色谱峰进行解析,并通过质谱库检索和程序升温保留指数相结合的方式对解析得到的各纯组分进行定性分析。将桂郁金挥发油各组分的质谱数据直接与美国国家标准及技术研究所(NIST)数据库进行比对,鉴定出38个化合物;在挥发油的色谱图中,存在一些因分离不完全而导致的共流物色谱峰,以保留时间为1 106.52~1 108.38 s及1 184 s的色谱峰为例,经熵最小算法解析,共发现5个纯组分。采用熵最小算法可以清楚地对共流物色谱峰进行解析并得到所包含的各个纯组分,该法可提高复杂成分定性定量分析结果的准确性。     

遗传算法在色谱谱图解析中的应用

将遗传算法引入色谱峰解析程序 ,结合色谱峰EMG模型及峰形经验公式 ,实现了恒温色谱谱图的全自动解析。对模拟谱图和实验谱图进行了解析 ,取得了满意的结果。本文对遗传算法的运算控制及运算效率进行了研究和讨论     

核磁共振ABC三质子自旋体系的图谱解析和模拟

磁性不等价的ABC三质子自旋体系共有15个吸收峰,组间有交错,且偶合常数与表现裂距不完全相合。这类体系的解析,特别是最后一步要计算出全部15个峰的位置和强度与实测图谱核对,极其繁难,且常非一次就成,工作量很大。本文不拟讨论图谱解析的全过程,仅对最后一步提供一个简便实用的计算机程序,由六个参数(三个化     

直观推导式演进特征投影法分辨枸杞类胡萝卜素的异构体

采用高效液相色谱-二极管阵列检测方法,初步分离了枸杞子中的类胡萝卜素。以乙腈-二氯甲烷(体积比为60∶40)为流动相,流速为1.0 mL/min,用C18柱从枸杞类胡萝卜素中分离出7个峰。但由于类胡萝卜素的结构多样性,尤其是顺反异构体的出现使得分离并不完全。利用所得三维数据提供的信息和化学计量学方法直观推导式演进特征投影法(HELP),对其中某些在二维色谱中被定性为单组分的峰进行解析,结果发现原来在二维色谱中被定性为单组分的峰大多是一些多组分峰。以其中第4个峰为例对其进行解析,得到了该类胡萝卜素的同分异构体色谱流出曲线及紫外光谱信息。该方法表明,化学计量学方法与现代分析手段有机结合,大大降低了此类复杂体系对色谱分离的要求,对同分异构体的分析具有一定的借鉴和指导意义。     

三维演进特征投影图及其量化方法识别联用色谱数据中选择性区域

提出三维演进特征投影图(3D-LPG)和定量识别三维LPG上直线段的方法,即T-图法,并采用上述方法对模拟体系和实验体系进行了解析.结果表明,三维LPG可提供比二维LPG更丰富的信息,当组分的光谱非常相似时,只有三维LPG才能正确地显示出重叠色谱峰中选择性区域的范围;同时,T-图法可准确地指示出三维LPG上直线段区域的所在范围,从而可正确识别出体系的选择性区域,为复杂体系中重叠色谱峰的成功解析提供了保证.     

一种基于光谱分析的二元不完全重叠色谱峰的分离解析方法

基于二极管阵列检测器获得的色谱-光谱数据,建立了一种二元不完全重叠液相色谱峰的解析方法: 色谱数据经过去噪、归一化处理后,计算各时间点的光谱差异并进行系统聚类分析,提取特征光谱后,利用非负最小二乘法对色谱-光谱矩阵进行解析,得到基于特征光谱的流出曲线,进而得到分离后的色谱峰。将解析结果和纯标样的色谱峰进行比较,解析后的光谱图和纯标样的光谱图无显著差异,保留时间相差小于0.01 min。实验结果表明,该方法在二元不完全重叠液相色谱峰的解析方面能取得良好的效果。     

稀土富勒烯提取液的解析电子轰击质谱

采用解析电子轰击质谱对电弧法合成的稀土富勒烯衍生物的提取液进行了质谱分析，有效地检测到富勒烯，稀土富勒烯单电荷、双电荷的分子离子峰。利用同位素贡献确证了某些稀土富勒烯的生成。采用高电流瞬间解析样品，使得谱图中的谱峰强度更加真实地反应出提取液中各组分的相对含量。     

气相色谱/质谱结合化学计量学解析方法用于植物精油成分分析

使用气相色谱/质谱(GC-MS)法对缬草精油和含有缬草精油的混配精油的化学成分进行了分析.采用直观推导式演进特征投影法(HELP)对二维数据中的色谱重叠峰进行了解析,得到两种精油的各个物质的纯色谱和纯质谱,同时利用交互移动窗口因子分析法(AMWFA)直接比较两种精油中的共有组分,提取出共有组分的纯质谱,通过与HELP法解析出的质谱进行比较,发现AMWFA法比HELP法能更快速鉴别出混配精油中的缬草精油.     

基于积分渐进展开的气相色谱重叠峰快速解析法

论文提出用积分渐进展开解析气相色谱重叠峰,该方法有3个主要步骤：首先将谷峰或肩峰分成两个积分区域,得到一个子区域的积分方程和一个重叠峰面积的代数方程;然后用数值积分求出这两个方程计算中所需要的峰面积,再用积分渐进公式将积分方程展开成代数方程;最后,将这两个方程与峰高约束方程联立后,得到一个非线性代数方程组,用Gauss-Seidel迭代可以快速求解方程组,方程收敛的最大迭代次数不超过20次。仿真和实验结果表明,解析的峰高和峰面积误差均很小,峰面积最大误差低于6.44%,峰高的最大误差约为6.80%。由于该算法精度高,效率高,所以这个方法可以用于气相色谱重叠峰和一般色谱峰的实时在线解析。     

Comparative analysis of volatile components from Clematis species growing in China

The volatile components between stems and roots and also among five Clematis species from China were studied and analyzed by gas chromatography-mass spectrometry (GC-MS) combined with alternative moving window factor analysis (AMWFA), a new chemometric resolution method. Identification of the compounds was also assisted by comparison of temperature-programmed retention indices (PTRIs) on HP-5MS with authentic samples included in our own laboratory database under construction. A total of 153 different compounds accounting for 86.6-96.5% were identified and significant qualitative and quantitative differences were observed among the samples. The major volatile components in different essential oils from Clematis species were n-hexadecanoic acid and (Z,Z)-9,12-octadecadienoic acid. Our work further demonstrated chemometric resolution techniques upon the two-dimensional data and PTRIs can provide a complementary and convenient method for fast and accurate analysis of complex essential oils.     

交互移动窗口因子分析法(AMWFA)用于二维数据重叠色谱峰的比较分析

采用交互移动窗口因子分析法(AMWFA), 通过挖掘两个体系中的选择性信息, 获得了不同样本间的共有组分数, 还同时得到了各物质对应的光谱或质谱信息. 详细阐述了本法的原理和计算方法, 并用一个模拟的GC-MS 数据对方法进行了验证.     

Quantification of target components in complex mixtures using alternative moving window factor analysis and two-step iterative constraint method

Alternative moving window factor analysis (AMWFA) has shown the powerfulness for comprehensive comparison and individual identification of chemical components among different but related mixture systems. However, quantification of these components can only be attained after extraction of all spectra of pure components in samples with least square technique. In this study, a novel two-step iterative constraint method (TICM) is developed for independent quantification of the interested target analytes. The pure chromatographic profiles of the components can be mined out from mixtures with high complexity using a two-step iterative operation and stepwise purification of the targets from interferers. Some effective constraints of chromatographic profiles, such as non-negative and single-peaked properties, as well as zero-concentration outside of elution windows of components, are employed to further improve the efficiency of the method. One of the strong advantages of TICM is simplification of complex mixtures to several sub-systems for processing easily with the help of AMWFA, as well as bi-linear property of data sets obtained from coupled chromatographic instruments. It meets the urgent requirements and challenges of qualitative and quantitative analysis of complicated systems with multi-component in the investigation of herbal medicines (HMs), metabonomics and systems biology. From the results of simulated LC–DAD data, GC–MS data of volatile chemical components in three kinds of ginseng with different growth conditions, and four different medicinal parts of the same herb, good performance of the proposed method is achieved.     

减压提取与常压提取柴胡挥发油品质比较

对比减压和常压条件下提取的柴胡挥发油在成分、含量及药效方面的差异,考察挥发油的品质,优选提取方法。采用气相色谱-质谱联用(GC-MS)法分析柴胡挥发油成分及其相对含量,再采用气相色谱法建立挥发油中己醛、庚醛、正辛醛和反式-2,4-癸二烯醛的含量检测方法,测定不同压力下提取的柴胡挥发油有效成分含量,通过背部皮下注射酵母混悬液复制大鼠发热模型,将常压、减压提取的柴胡挥发油溶于1%吐温80后腹腔注射给药,测定大鼠不同时间点的体温变化情况,利用单因素方差分析(Single factor analysis of variance)进行组间比较。结果显示:减压提取与常压提取的挥发油成分和含量存在差异,己醛、庚醛、正辛醛和反式-2,4-癸二烯醛在减压提取方法中的提取率更高,同时该方法提取的挥发油对干酵母引起的发热药效更显著。由此可见,减压提取能有效减少热敏性成分被破坏,提高有效成分的提取效率,提取的柴胡挥发油具有更显著的药效,品质优于常压提取。     

Alternative moving window factor analysis for comparison analysis between complex chromatographic data

In this investigation, a novel chemometric method is developed for the analysis of five possible relationships of components or spectral features between two correlative but different hyphenated chromatographic systems. It is very helpful for comparison study of components present in different complex systems in both chemistry and systems biology. The proposed method, named alternative moving window factor analysis (AMWFA), could be utilized to determine the number of common components between different samples and then to identify their corresponding spectra half-automatically. AMWFA can alternatively be employed to mind for the selective information hiding in anyone of the two compared data X and Y, and to self-verify the resolution results by changing the extracted target matrices in analysis. From the results of comparison of simulated hyphenated chromatographic data, volatile chemical components in drug pair rhizoma ligustici chuanxiong-radix paeoniae rubra (RLC-RPR) and its single herbal medicines, and analysis of Angelica oral solution and its plasma sample after oral intake to rabbit, powerful ability of the proposed method is shown.     

气相色谱-质谱联用结合化学计量学方法分析光照对鱼腥草挥发性成分的影响

采用色谱-质谱联用技术结合化学计量学方法对不同光照生长条件的鱼腥草挥发性成分进行分析。水蒸气蒸馏法提取鱼腥草挥发油,气相色谱-质谱进行分析。色谱指纹图谱结合主成分分析与相似度评价以探究不同光照挥发油成分的异同。直观推导式演进特征投影法(Heuristic evolving latent projections,HELP)分辨重叠色谱峰,NIST标准质谱库结合相关文献进行定性,峰面积归一化法定量,t-检验比较不同光照组成分含量间是否有显著性差异。3种光照下的鱼腥草挥发油指纹图谱存在一定的共性和差异,共鉴定出33种化合物,共有化合物26种。随着光照强度的减少,单萜类化合物含量减少,非萜类含量增多,倍半萜类变化不大。癸酰乙醛和甲基正壬酮在全光照组的含量明显低于遮光组的含量。研究结果表明,适度的遮光有利于鱼腥草挥发性有效成分含量的提高,鱼腥草药材挥发性成分种类及含量与生长条件密切相关。     

莪术中挥发性成分的微波辅助固相顶空气相色谱法分析

将微波无溶剂提取(SFME)与顶空气相色谱(HS-GC)在线联用,建立了中药材的微波辅助固相顶空气相色谱法(MASP-HSGC),并用该方法快速直接分析了莪术药材中的挥发性成分。研究中对色谱条件、微波作用时间、微波作用功率等因素进行了考察,并以莪术醇为标准品考察了回收率和检出限,同时测定了莪术醇在莪术药材中的含量。对采用水蒸气蒸馏法(HD)和SFME法获得的莪术挥发油进行了气相色谱-质谱（GC-MS）分析,所得结果与所建立方法的结果进行对比。结果表明: HD-GC、SFME-GC和MASP-HSGC法所测得的化合物分别为35、33和40种;3种方法测得的莪术醇含量分别为（0.294±0.015）、（0.331±0.023）和（0.297±0.009） mg/g。该法简便快速,可用于莪术中挥发性成分的分离分析。     

佩兰挥发性化学成分的固相微萃取研究

采用固相微萃取-气相色谱-质谱法分析佩兰中挥发性化学成分,共分离出84个组分,并鉴定了67个组分,用归一化法测定其质量分数,占总挥发性组分峰面积的98.05%。主要成分是对-伞花烃(5.19%)、芳樟醇(3.72%)、β-石竹烯(12.35%)、α-律草烯(13.39%)、α-姜黄烯(2.11%)、(-)-石竹烯氧化物(8.25%)、. /-.-4-乙酰基-1-甲基环己烯(8.91%)。     

Recognition of volatile compounds as markers in geographical discrimination of Spanish extra virgin olive oils by chemometric analysis of non-specific chromatography volatile profiles

Chromatographic profiles obtained by headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography (GC) were processed as continuous and non-specific signals through multivariate analysis techniques in order to select and identify the most discriminate volatile marker compounds related to the geographical origin of extra virgin olive oils. The blind analysis of the chromatographic profiles was carried out on several steps including preliminary mathematical treatments, explorative analysis, feature selection and classification. The results obtained through the application of stepwise linear discriminant analysis (SLDA) method revealed a perfect discrimination between the different Spanish geographical regions considered (La Rioja, Andalusia and Catalonia). The assignment success rate was 100% in both classification and prediction by using cross validation procedure. In addition, it must be noted that the proposed strategy was able to verify the geographical origin of the samples involving only a reduced number of discriminate retention times selected by the stepwise procedure. This fact emphasizes the quality of the accurate results obtained and encourages the feasibility of similar procedures in olive oil quality and traceability studies. Finally, volatile compounds corresponding to the predictors retained were identified by gas chromatography-mass spectrometry (GC-MS) for a chemical interpretation of their importance in quality virgin olive oils.     

阔叶箬竹叶和箬竹叶中挥发油的提取及成分分析

采用水蒸气蒸馏法分别提取阔叶箬竹叶和箬竹叶中的挥发油,用乙醚作溶剂进行多次萃取,利用气相色谱-质谱(GC-MS)联用分析二者的化学成分并进行比较。从阔叶箬竹叶提取的挥发油中共鉴定出37种化合物,主要成分为叶醇、1-己醇、苯甲醇、己醛、2-乙基呋喃、β-紫罗兰酮等。从箬竹叶提取的挥发油中共鉴定出49种化合物,主要成分为叶醇、苯甲醇、β-紫罗兰酮、2-己烯醛、苯乙醇、2-甲氧基-4-乙烯基苯酚、2-乙基呋喃等。两种箬叶挥发油中相对含量最高的成分都为叶醇,都含有酮、醛、醇、酚、酯类化合物,且酮、醛、醇的含量明显高于其他成分。