多元曲线分辨方法和红外光谱用于奥克托今合成机理

通过红外光谱在线监测1,5-二乙酰基-3,7-二硝基-1,3,5,7-四氮杂环辛烷（简写DADN）合成奥克托今(HMX)的反应过程,利用渐进因子分析(EFA)、多元曲线分辨 交替最小二乘法(MCR-ALS)和直观推导式演进特征投影法(HELP)等化学计量学方法对反应过程获得的光谱信息进行解析,得到了各组分浓度变化曲线和对应的红外光谱,并将MCR-ALS和HELP两种方法的分析结果进行比较,得出可相互验证的一致结论,从而推测出该反应合理的反应机理。 所得结果与文献报道吻合,表明化学计量学方法结合在线红外光谱是研究奥克托今合成机理的有效手段。     

多元曲线分辨结合在线红外用于3-氨基-4-氨基肟基呋咱的合成反应机理

利用红外光谱在线监测丙二睛、亚硝酸钠和盐酸羟胺合成3-氨基-4-氨基肟基呋咱的反应过程,采用多元曲线分辨-交替最小二乘法（MCR-ALS）、直观推导式演进特征投影法(HELP)等化学计量学方法对反应过程所获得的实时红外光谱数据矩阵进行解析,得到了各组分纯物质的浓度变化曲线和对应的红外光谱,并将多元曲线分辨 交替最小二乘法与直观推导式演进特征投影法的分析结果进行比较,得出可相互验证的一致结论,据此推出该反应合理的反应机理。 2种方法得到的反应物与生成物的光谱与原光谱的相似度近似于1,说明该解析方法具有准确性和可靠性。 结果表明,化学计量学结合红外光谱可有效的应用于3-氨基-4-氨基肟基呋咱合成过程的机理推断。     

化学计量学和红外光谱研究3,5-二氨基-1,2,4-三唑合成机理

通过红外光谱在线监测3,5-二氨基-1,2,4-三唑(DAT)的合成过程,应用多元曲线分辨-交替最小二乘法(MCR-ALS)对过程中获得的光谱数据矩阵进行解析,推导出合理的反应机理.反应以水为背景,依次加入二氰二胺与二盐酸肼固体,用红外探头监测反应全过程.用MCR-ALS法对所得光谱数据进行解析,得到反应物、中间体和产...     

多元曲线分辨等方法和红外光谱用于二硝基五亚甲基四胺的合成反应机理研究

通过红外光谱在线监测强酸催化下硝酰胺、甲醛和氨水合成二硝基五亚甲基四胺(DPT)的反应过程, 利用渐进因子分析(EFA)、直观推导式演进特征投影法(HELP)和多元曲线分辨-交替最小二乘法(MCR-ALS)等化学计量学方法对反应过程获得的红外光谱信息进行解析, 得到了各组分纯物质的浓度变化曲线和对应的红外光谱, 并把多元曲线分辨-交替最小二乘法与直观推导式演进特征投影法的分析结果进行比较, 得出可相互验证的一致结论, 以此推测出该反应合理的反应机理. 化学计量学方法对在线红外光谱信息的分辨可以快速有效地反映DPT合成过程中各组分的浓度和红外光谱变化情况, 对其反应机理研究具有重要指导意义.     

GC-MS联用技术结合化学计量学方法分析厚朴叶挥发油成分

利用水蒸气蒸馏法提取湖南产厚朴叶的挥发油成分,采用GC-MS联用技术结合化学计量学方法(直观推导式演进特征投影法和选择性离子法)进行分析,同时结合程序升温保留指数辅助定性。结果共鉴定出54种化合物,占挥发油总量的84.95%。主要化学成分为α-、β-和γ-桉油醇,含量分别为13.10%、28.21%和14.67%。此外,含量较高的化合物还有α-蒎烯(2.96%)、芳樟醇(1.71%)、丹皮酚(1.88%)、石竹烯(2.04%)、佛术烯(3.60%)、α-瑟林烯(3.84%)和[1AR-(1Aα,4α,4Aβ,7Bα)]-1A,2,3,4,4A,5,6,7B-八氢化-1,1,4,7-四甲基-1H-环丙烯并[E]奥(1.34%)。研究表明,将化学计量学方法用于中药挥发油成分的分析可提高定性分析的准确性。所得结果可为厚朴药植物资源的开发利用提供依据。     

紫外光谱法结合多元曲线分辨研究黄芩苷的转化规律

采用紫外光谱法采集不同工艺条件下黄芩苷转化过程的光谱数据, 结合多元曲线分辨-交替最小二乘法(MCR-ALS)处理获得的数据, 得到黄芩苷转化反应过程中各组分的光谱图和浓度随时间变化曲线. 结果表明, 黄芩苷转化过程符合两步连续一级反应模型; 根据不同时间点采集的多级质谱和飞行时间质谱信息, 推断了黄芩苷转化产物和可能的转化途径, 转化产物主要包括黄芩苷的同分异构体、 黄芩素和黄芩素二聚体. 对黄芩苷转化规律的研究有助于黄芩制剂的质量控制.     

气相色谱-质谱结合化学计量学方法用于2型糖尿病小鼠尿液代谢物的定性定量分析

建立了气相色谱-质谱(GC-MS)同时测定2型糖尿病(Type 2Diabetes Melli-tus,T2DM)KK-ay小鼠尿液中多种代谢物的方法。样品预处理中,以核糖醇为内标,用甲醇去除蛋白,尿酶去除尿素,经N2吹干后用肟化-硅烷化法进行衍生;气相色谱-质谱测定中,采用DB-5MS毛细管柱程序升温法分离尿样中的多种成分。获得二维数据后用直观推导式演进特征投影法(HELP)对重叠色谱峰进行解析,并结合NIST标准质谱库和标准品对尿液中的代谢物进行定性定量分析,共鉴定出氨基酸、糖类、脂肪酸、有机酸和酯类等43种内源性代谢物质。结果表明,该方法简便快捷,易于操作,且灵敏度高,能够同时检测尿液中的多种组分。     

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.     

气相色谱-质谱法与化学计量学分辨法分析当归须挥发油中化学成分

本文借助化学计量学分辨方法,建立了用气相色谱-质谱(GC-MS)联用法分析当归须挥发油成分的方法.对重叠色谱峰采用直观推导式演进特征投影算法进行分辨,从而获得每一组分的纯色谱和质谱,依靠每一组分纯质谱在NIST质谱库进行相似性检索而定性分析,用总体积积分法进行定量分析.在当归须挥发油中共分辨出86个色谱峰,通过质谱库检...     

Determination of phenolic compounds and authentication of PDO Lambrusco wines by HPLC-DAD and chemometric techniques

This work proposes a fast and simple method for detection and quantification of phenolic compounds in PDO Lambrusco wines using HPLC-DAD and chemometric techniques. Samples belonging to three different varieties of Lambrusco (Grasparossa, Salamino and Sorbara) were analyzed to provide a methodology appropriate for routine analysis. Given the high complexity of the sample and the coelution among chromatographic peaks, the use of chemometric techniques to extract the information of the individual eluting compounds was needed. Multivariate curve resolution-alternating least squares (MCR-ALS) allowed the resolution of the chromatographic peaks obtained and the use of this information for the quantification of the phenolic analytes in the presence of interferences. Use of multiset analysis and local rank/selectivity information was proven to be crucial for the correct resolution and quantification of compounds. The quantitative data provided by MCR-ALS about the phenolic targets and additional compounds present in the samples analyzed provided wine composition profiles, which were afterwards used to distinguish among wine varieties. Principal component analysis applied to the wine profiles allowed characterizing the wines according to their varieties.     

Comprehensive description of the photodegradation of bromophenols using chromatographic monitoring and chemometric tools

A general procedure for the study of complex photodegradation processes of environmental pollutants based on chromatographic monitoring and chemometric method is proposed. The procedure consists of multiset data analysis of aliquots collected at different reaction times and injected in High-Performance Liquid Chromatography coupled to diode array detection and mass spectrometry (HPLC-DAD-MS). In this study, photodegradation of six bromophenols with different degrees of bromination has been investigated in order to find out their photodegradation pathways and kinetics and to show the potential of the procedure proposed. Multivariate curve resolution-alternating least squares (MCR-ALS) has been used to resolve chromatographic elution profiles and pure spectra of species involved in the photodegradation process and, hence, to elucidate the photodegradation mechanism and to propose the chemical structure of the main photoproducts. This study shows that chromatographic monitoring is the preferred option when photochemical systems with large number of components with similar spectra and kinetic evolution are analyzed. This work reveals the advantages of the double DAD and MS detection to provide mechanistic and structural information about these complex photodegradation processes.     

直观推导式演进特征投影法在拖尾重叠色谱峰解析中的应用

直观推导式演进特征投影法(HELP)已成功应用于复杂体系的重叠色谱峰解析.当色谱峰拖尾时,演进特征投影图(ELPG)显示的直线段对应的区域中可能含有前面拖尾组分的信息,据此进行HELP解析可能得不到满意结果.选择ELPG上直线段的一部分,即拖尾组分末端,前面组分的信息已基本消失的区域作为选择性区域进行HELP解析.同时,提出一种新的定量方法:用主成分分析法(PCA)分解待测组分标准样品的二维数据,将得到的“标准”色谱引入HELP的定量过程,在色谱峰拖尾或解得谱峰不平滑时,得到更准确的结果.用HELP方法解析了依诺沙星、诺氟沙星和环丙沙星三组分实验体系,结果表明,加入上述措施的HELP可有效改善拖尾重叠色谱峰的解析结果.     

Detection and Quantification of Alprazolam Added to Long Drinks by Near Infrared Spectroscopy and Chemometrics

In the present work, a fast, relatively cheap, and green analytical strategy to identify and quantify the fraudulent (or voluntary) addition of a drug (alprazolam, the API of Xanax^®) to an alcoholic drink of large consumption, namely gin and tonic, was developed using coupling near-infrared spectroscopy (NIR) and chemometrics. The approach used was both qualitative and quantitative as models were built that would allow for highlighting the presence of alprazolam with high accuracy, and to quantify its concentration with, in many cases, an acceptable error. Classification models built using partial least squares discriminant analysis (PLS-DA) allowed for identifying whether a drink was spiked or not with the drug, with a prediction accuracy in the validation phase often higher than 90%. On the other hand, calibration models established through the use of partial least squares (PLS) regression allowed for quantifying the drug added with errors of the order of 2–5 mg/L.     

Comparison of the volatile constituents of different parts of Cortex magnolia officinalis by GC‐MS combined with chemometric resolution method

Volatile compositions of different parts (stem, branch and root barks) of Cortex magnolia officinalis, cultivated in China, were investigated for the first time by GC‐MS with the help of heuristic evolving latent projection (HELP). Identification of components was conducted by similarity matching to NIST mass library but also assisted by comparison of temperature‐programmed retention indices (PTRIs) with the data web available. A total of 90, 82 and 76 volatile compounds in the essential oils of the three samples taken from the same batch aforementioned were qualitatively and quantitatively determined, representing 84.03, 83.68 and 83.10% of the total content, respectively. Among the constituents determined, there were 50 components coexisting. Eudesmol and its isomers were shown to be the principal compounds in the studied samples, accounting for 47.66, 36.74 and 36.31%, respectively. The three kinds of isomers (α‐, β‐ and γ‐eudesmol) in houpo volatile oils have been tentatively qualified and quantified simultaneously for the first time. By comparative analysis, significant qualitative and semi‐quantitative differences and similarities were observed among the three samples. The results achieved provide a scientific evidence for further exploitation of Magnolia bark and clinical medication.