化学计量学研究及其应用

本文介绍了化学计量学的产生、发展、研究内容及主要应用,对有关工作进行了评述。     

化学计量学用于中医药研究

中医药是中华民族的瑰宝,也是中国传统文化的重要组成部分。它的现代化和国际化将对形成具有我国特色的中医药知识经济起到重要作用。中医药的现代化包括探明中医药药效的物质基础、其用药时的化学与药理作用过程等诸多方面。由于中药成分非常复杂,即使是单味药,也是一...     

化学计量学在我国的发展

评述了化学计量学在我国近年来的发展,包括多元校正与分辨、稳健方法、化学模式识别、化学定量构效关系、分子模拟与优化、化学专家系统与库主要分支,其中特别对近年来得到飞速发展的新技术如高维数据解析方法,人工神经网络、小波变换给出了较详细的介绍。     

化学计量学的基础算法与应用研究

本文综合讨论了化学计量学的一些基础问题,包括分析信息理论、实验设计与优化、采样理论、分析检测理论、校正理论、分析信号处理、化学模式识别和计算机数字模拟等,并介绍了作者实验室的部分近期工作。     

化学计量学定量分析模型的评价及应用

本文介绍了评价化学计量学校正技术所建立的定量分析模型定量分析效果的一种实用方法，根据定量分析模型对样品待测组分的计算值ｘ与样品待测组分的标准值ｙ建立简单回归模型：ｙ＝ａ＋ｂｘ通过检验回归参数ａ＝０，ｂ＝１的假设能否在一定概率水平上被接受，评价定量分析模型对样品待测组分的预测效果。     

基于化学计量学的通用化学数据采集处理系统

研制开发基于化学计量学的通用化学数据采集处理系统，该系统硬件采集部分，可与模拟信号输出的分析仪器或有RS－232接口的分析仪器联接进行数据采集，软件部分的数据处理基于化学计量学理论知识，相应数据处理方法，可从采集到数据中获取大量的信息。软件部分的信息管理包含了大量实验要素的归整、查询和统计等。     

化学计量学在毒物化学归因中的应用

近十年来,化学计量学方法与分析技术相结合,对样品进行了表征和鉴别,产生了信息量大、代表性强的样品检测方法.在法医学案件鉴定处理中,使用这些新技术和数学/统计学方法,可获得统计可信度的结果,从而有助于法医学案件以及毒性化合物中毒事件的追踪溯源.该文对毒物检测中使用的化学计量学方法进行了详细讨论,对其优缺点进行了比较总结,...     

化学计量学在分析化学中的应用

从化学定量构效关系、模式识别法、人工神经网络、波谱化学、多元校正分析法等方面对化学计量学在分析化学中的应用进行了综述。阐明了化学计量学在分析化学中的作用及广阔的应用前景。     

化学计量学在电分析化学中的新进展

评述了化学计量学的各种方法,如主成分分析、偏最小二乘、小波分析、人工神经网络等在电分析化学中的进展,主要介绍了这些方法在电分析化学中的应用,并展望了化学计量学在电分析化学中的应用前景。     

化学计量学及其发展概况

化学计量学(Chemometrics或Chemometry)的发展,经历了日趋成熟的过程,作为一门新兴学科,它是由数学、统计学、计算机技术与化学相结合的交叉科学,其诞生是科学技术发展及其相互交缘渗透的必然结果。化学计量学能有效地解决许多常规方法难于解决的复杂问题,因而受到化学家们的关注,同时也稳步走入化学教学的课堂。本文拟对化学计量学发展作一简要综述,介绍有关研究进展及应用概况。     

Organic residue analysis of Neolithic pottery from North Greece

Organic residues associated with Neolithic pottery from two Late Neolithic sites, Paliambela and Makriyalos (Northern Greece), were analyzed by gas chromatography-mass spectrometry. The study aimed at identifying the origin of the tar used for waterproofing and gluing broken pots. Reference tars were prepared in laboratory conditions by pyrolysis of the bark from three tree species, namely from Betula pendula (silver birch), Ostrya carpinifolia (hop hornbeam) and Carpinus orientalis (Eastern hornbeam). The results suggest that mostly birch bark tar was used as glue for fixing broken pieces of the pots as well as for waterproofing close-shaped vessels. None of the archaeological tars derived from the two hornbeams. The analysis shows certain variability in the composition of birch bark tar, which is related to the production technique and to the re-use of tar. Of particular interest is the presence of characteristic diterpenoid biomarkers in several samples, which indicates that pine pitch was used for gluing and pine resin for waterproofing vessels for liquids. Correspondence: Sophia Mitkidou, Department of Science, School of Technological Applications, Technological Institute of Kavala, Greece     

气相色谱/质谱-化学计量学法分析测定药对桃仁-红花挥发油

药对是中药配伍中最基本、最常用的形式,具有中药配伍的基本特点。药对化学是复方化学的核心内容。联用色谱和化学计量学方法是分析中药复方复杂体系的有效工具。采用GC/MS法分离测定了药对桃仁-红花、单味药桃仁和红花的挥发油成分,并对其重叠色谱峰采用化学计量学解析法进行了分辨,得到药对和各单味药的纯色谱曲线和质谱。药对桃仁-红花、单味药桃仁和红花分辨出的色谱峰,通过质谱库对其进行定性,分别得到84、27和52个定性结果,占总含量的92.06%、89.43%和94%。实验结果表明:桃仁-红花挥发油成分与单味药桃仁和红花的存在较大差别,也不是两者挥发油成分之加和。     

Quantitative Comparison of the Marker Compounds in Different Medicinal Parts of Morus alba L. Using High-Performance Liquid Chromatography-Diode Array Detector with Chemometric Analysis

It is thought that the therapeutic efficacy of Morus alba L. is determined by its biological compounds. We investigated the chemical differences in the medicinal parts of M. alba by analyzing a total of 57 samples (15 root barks, 11 twigs, 12 fruits, and 19 leaves). Twelve marker compounds, including seven flavonoids, two stilbenoids, two phenolic acids, and a coumarin, were quantitatively analyzed using a high-performance liquid chromatography-diode array detector and chemometric analyses (principal component and heatmap analysis). The results demonstrated that the levels and compositions of the marker compounds varied in each medicinal part. The leaves contained higher levels of six compounds, the root barks contained higher levels of four compounds, and the twigs contained higher levels of two compounds. The results of chemometric analysis showed clustering of the samples according to the medicinal part, with the marker compounds strongly associated with each part: mulberroside A, taxifolin, kuwanon G, and morusin for the root barks; 4-hydroxycinnamic acid and oxyresveratrol for the twigs and skimmin; chlorogenic acid, rutin, isoquercitrin, astragalin, and quercitrin for the leaves. Our approach plays a fundamental role in the quality evaluation and further understanding of biological actions of herbal medicines derived from various medicinal plant parts.     

An RP-LC-UV-TWIMS-HRMS and Chemometric Approach to Differentiate between Momordica balsamina Chemotypes from Three Different Geographical Locations in Limpopo Province of South Africa

Momordica balsamina leaf extracts originating from three different geographical locations were analyzed using reversed-phase liquid chromatography (RP-LC) coupled to travelling wave ion mobility (TWIMS) and high-resolution mass spectrometry (HRMS) in conjunction with chemometric analysis to differentiate between potential chemotypes. Furthermore, the cytotoxicity of the three individual chemotypes was evaluated using HT-29 colon cancer cells. A total of 11 molecular species including three flavonol glycosides, five cucurbitane-type triterpenoid aglycones and three glycosidic cucurbitane-type triterpenoids were identified. The cucurbitane-type triterpenoid aglycones were detected in the positive ionization mode following dehydration [M + H − H₂O]⁺ of the parent compound, whereas the cucurbitane-type triterpenoid glycosides were primarily identified following adduct formation with ammonia [M + NH₄]⁺. The principle component analysis (PCA) loadings plot and a variable influence on projection (VIP) analysis revealed that the isomeric pair balsaminol E and/or karavilagen E was the key molecular species contributing to the distinction between geographical samples. Ultimately, based on statistical analysis, it is hypothesized that balsaminol E and/or karavilagen E are likely responsible for the cytotoxic effects in HT-29 cells.     

Acid–Base Equilibrium and Self-Association in Relation to High Antitumor Activity of Selected Unsymmetrical Bisacridines Established by Extensive Chemometric Analysis

Unsymmetrical bisacridines (UAs) represent a novel class of anticancer agents previously synthesized by our group. Our recent studies have demonstrated their high antitumor potential against multiple cancer cell lines and human tumor xenografts in nude mice. At the cellular level, these compounds affected 3D cancer spheroid growth and their cellular uptake was selectively modulated by quantum dots. UAs were shown to undergo metabolic transformations in vitro and in tumor cells. However, the physicochemical properties of UAs, which could possibly affect their interactions with molecular targets, remain unknown. Therefore, we selected four highly active UAs for the assessment of physicochemical parameters under various pH conditions. We determined the compounds’ pK_a dissociation constants as well as their potential to self-associate. Both parameters were determined by detailed and complex chemometric analysis of UV-Vis spectra supported by nuclear magnetic resonance (NMR) spectroscopy. The obtained results indicate that general molecular properties of UAs in aqueous media, including their protonation state, self-association ratio, and solubility, are strongly pH-dependent, particularly in the physiological pH range of 6 to 8. In conclusion, we describe the detailed physicochemical characteristics of UAs, which might contribute to their selectivity towards tumour cells as opposed to their effect on normal cells.     

木香挥发性化学成分的气相色谱-质谱分析

采用水蒸气蒸馏法从木香中提取挥发油,用气相色谱-质谱联用仪对木香挥发油进行化学成分的分析。利用化学计量学方法对重叠峰进行分辨,对各个色谱峰定性,并用色谱峰总体积积分和归一化法获得各化合物的相对含量。共鉴定了60种化合物,占挥发油总成分的97%以上。其中主要有土木香内酯、巴西菊内酯、(Z)6,(Z)9-十五二烯-1-醇等。     

中药药对的化学成分研究川芎-赤芍挥发油的GC/MS分析

中药药对是复方的最小组成单位,具有中药配伍的基本特点. 药对化学是复方化学的核心内容. 联用色谱和化学计量学方法为中药复杂体系的分离与分辨提供了强有力的工具. 采用GC-MS法分离测定中药药对川芎-赤芍、 单味药川芎和赤芍的挥发油成分,并对其中的重叠色谱峰采用化学计量学解析方法(CRM)进行分辨,得到药对和各单味药的纯色谱曲线和质谱图,药对川芎-赤芍、 单味药川芎和赤芍分别分辨出82,78和57个色谱峰,通过质谱库对分辨的纯组分进行定性,分别得到61,52和33个定性结果,占总含量的90.18%,95.14%和95.82%.     

Fast Determination of Phenanthrene in Soil by Gas Chromatography-Mass Spectrometry Using Chemometric Resolution and Standard Addition Method

A method for fast determination of the component in complex samples by using gas chromatography‐mass spectrometry (GC‐MS) was developed and used for quantitative analysis of phenanthrene in soils. In the method, window independent component analysis (WICA) was used for resolving the mass spectrum and non‐negative immune algorithm (NNIA) was employed for obtaining the chromatographic profile. Therefore, spectral and chromatographic information of a specific component can be obtained from the measured GC‐MS data of overlapping and high background. Six soil samples collected from different places were analyzed. The tedious pretreatments in preparing the samples and the elution in the separation were simplified for speeding up the analysis. Due to the complexity of the matrix, standard addition method was adopted for the final quantification. The applicability of the method was validated with a spiked sample and the results of the six samples are reasonable.     

Highly Effective Detection of Amitraz in Honey by Using Surface-Enhanced Raman Scattering Spectroscopy Coupled with Chemometric Methods

As an effective and universal acaricide, amitraz is widely used on beehives against varroasis caused by the mite Varroa jacobsoni. Its residues in honey pose a great danger to human health. In this study, a sensitive, rapid, and environmentally friendly surface-enhanced Raman spectroscopy method (SERS) was developed for the determination of trace amount of amitraz in honey with the use of silver nanorod (AgNR) array substrate. The AgNR array substrate fabricated by an oblique angle deposition technique exhibited an excellent SERS activity with an enhancement factor of ∽10⁷. Density function theory was employed to assign the characteristic peak of amitraz. The detection of amitraz was further explored and amitraz in honey at concentrations as low as 0.08 mg/kg can be identified. Specifically, partial least square regression analysis was employed to correlate the SERS spectra in full-wavelength with C_amitraz to afford a multiple-quantitative amitraz predicting model. Preliminary results show that the predicted concentrations of amitraz in honey samples are in good agreement with their real concentrations. Compared with the conventional univariate quantitative model based on single peak’s intensity, the proposed multiple-quantitative predicting model integrates all the characteristic peaks of amitraz, thus offering an improved detecting accuracy and anti-interference ability.     

微波消解-ICP-OES标准加入法测定钽炉灰中的钽

以氢氟酸和硝酸为溶剂通过微波消解对钽炉灰进行溶解,经分取、稀释后制得样品溶液. 对样品溶液进行半定量分析,保证校准溶液加入合适的钽量,制得系列校准溶液. 选择 Ta 240. 063 nm 为分析谱线,采用标准加入法消除测定过程中的基体效应,在电感耦合等离子体发射光谱（ ICP-OES）上对钽炉灰中的钽含量进行测定. 结果显示,绘制的工作曲线线性相关系数均在 0. 999 以上,测定结果的相对标准偏差（ n = 7）小于 0. 50%,加标回收率在94. 6% ~ 107. 9%之间.