电喷雾质谱结合化学计量学方法快速筛选玛咖促睾丸间质细胞增殖活性成分

应用电喷雾串联质谱法( ESI-MS/MS)对云南和秘鲁产玛咖样品中低极性化学成分进行检测,获得各样品的一级质谱指纹谱图和各离子峰的二级质谱数据,并测定各样品促进大鼠睾丸间质细胞增殖活性,采用化学计量学方法主成分分析( PCA)、偏最小二乘法( PLS)和灰色关联度分析( GRA)对所获得的一级质谱数据进行处理后,可有效区分玛咖的不同产地,且筛选出其中具有促大鼠睾丸间质细胞增殖活性的可能成分,进而通过二级质谱数据分析得到可能活性成分的结构。实验结果表明,玛咖低极性成分具有很好的促大鼠睾丸间质细胞增殖活性,其中活性较强的主要为N-benzylhexadecanamide和N-benzy-(9Z,12Z,15Z)-octadecatrien-amide。本方法为简单、快速分析中药中促睾丸间质细胞增殖活性成分筛选方法提供了借鉴。     

表面解吸常压化学电离质谱法快速判别樟树化学型

采用表面解吸常压化学电离质谱(SDAPCI-MS)技术直接对5种化学型的樟树叶粉末片剂进行分析,获得其化学指纹谱图信息.采用主成分分析(PCA)、聚类分析(CA)和反向传输人工神经网络(BP-ANN)对谱图信息进行分析,获得各化学型樟树叶粉末片剂的特征质谱信息,进而对不同化学型样品进行判别.结果表明,在正离子模式下,SDAPCI-MS能快速获取樟树的化学指纹谱图;PCA分析中的PC1,PC2和PC3贡献率分别为79.9%,12.9%和4.2%,共计97.0%.SDAPCI-MS结合CA和BP-ANN测试样本准确率均为100%,能够快速、有效地判别出樟树化学型.     

基于表面解吸常压化学电离质谱法快速评价咖啡种子活力

为快速、无损地区分不同活力的咖啡种子,采用自行研制的表面解吸常压化学电离质谱(DAPCI-MS),在无需样品预处理的前提下,获得咖啡种子表面的化学指纹图谱,并分别进行了主成分分析(PCA)、聚类分析(CA)和判别分析(DA),获得不同活力的咖啡种子样品的质谱信息特征.结果表明,在正离子模式下,DAPCI-MS结合多变量分析方法能有效区分不同活力的咖啡种子.PCA提取了3个主成分,累计贡献率达到92.2％;CA可以将相同活力的咖啡种子聚在一起,准确率为100％;DA对训练样本的回判正确率为100％,交叉验证分析成功率为100％,对外部验证样本进行DA,正确率95.7％.本方法具有无需样品预处理,分析速度快,灵敏度高,对种子无损伤等优点,能为其它种子活力测定提供参考.     

表面解吸常压化学电离质谱快速鉴别硫磺熏蒸八角

采用自行研制的表面解吸常压化学电离质谱(DAPCI-MS),无需样品预处理,对硫磺熏蒸八角和未熏八角直接进行正、负离子模式检测,获得其化学指纹图谱,并通过主成分分析(PCA)及聚类分析(CA)方法对所获指纹谱图信息进行分析,进而对不同样品进行鉴别。结果表明,在正、负离子模式下,DAPCI-MS都可对八角表面多种特征化学成分进行分析,快速获得八角的化学指纹谱图,并能够对目标组分进行多级串联质谱鉴定,结合PCA及CA方法可对八角是否经硫磺熏蒸进行快速鉴别。本方法无需样品预处理,灵敏度高,分析速度快,无污染,可望应用于市场上硫熏制品的快速鉴别。     

调控微波等离子体能量进行药片活性分子结构的质谱分析

采用微波等离子体质谱(MPT-MS)技术,对替硝唑和马来酸氯苯那敏药片进行快速质谱分析.通过调控等离子体能量,在一级谱图中可得到目标物的准分子离子及丰富的碎片离子,这些碎片离子与其对应串联质谱数据基本一致,甚至更加丰富;结合标准品比对分析,最终确定这些碎片离子来自目标物而非基质.因此,MPT兼具硬电离和软电离性质,采用MPT-MS技术从一级质谱图中获得的数据可对药片中活性分子的结构进行鉴定.该方法具有快速、准确及环保等特点,在发展MPT与简单的质量分析器联用,实现质谱仪的小型化等方面有广阔的应用前景.     

嗜酸性氧化亚铁硫杆菌代谢产物的常压化学电离质谱分析

本研究以721矿和745矿嗜酸性氧化亚铁硫杆菌为研究对象,采用常压化学电离质谱直接分析其代谢产物,分别考察了顶空采样( Headspace sampling)、界面采样( Interface sampling)和中性解吸采样( Neutral desorption sampling)3种进样方式对电离效果的影响。在优化条件下,常压化学电离质谱对微生物纯菌种和混合菌种的代谢产物均具有良好的分析能力,可根据获得的代谢产物指纹谱图结合主成分分析( PCA)方法和聚类分析( CA)方法区分2个放射性强弱不同区域共4类嗜酸性微生物样品,并对主要胺类、酯类等代谢成分进行串联质谱鉴定,为耐辐射微生物的相关研究提供了一种可借鉴的分析方法。     

慢性心功能衰竭患者尿液的代谢组学研究

采用基于液相色谱-质谱联用的方法对慢性心力衰竭(Chronic heart failure, CHF)患者和正常对照(Control)人群的尿液进行分析, 筛选慢性心力衰竭患者尿液中的差异代谢物, 研究其发病机制, 并为临床治疗提供科学依据.选择15个慢性心力衰竭患者(年龄(62.27±3.14)岁)及15个正常人(年龄(65.41±4.63)岁), 采用高分辨度快速液相色谱-四极杆-飞行时间串联质谱(RRLC-QTOF/MS)技术对尿液代谢物进行分析, 采用主成分分析(PCA)对两组代谢物进行分类, 并筛选潜在生物标记物;运用偏最小二乘判别分析法(PLS-DA)建模, 考察生物标记物对疾病筛选的预测能力.研究结果表明, CHF组和Control组尿液代谢物谱能得到很好的区分, 发现并鉴定了2种潜在生物标记物尿苷及丙氨酰色氨酸, 提示嘧啶代谢和色氨酸代谢可能在心力衰竭发生发展中有重要作用.     

类固醇激素的低温等离子体质谱研究

将自行设计和搭建的低温等离子体装置作为离子源,成功地与常压高分辨质谱结合,并将其用于类固醇样品的定性分析.与常规电喷雾质谱相比,用低温等离子体质谱检测类固醇样品具有样品前处理简单、谱图干扰少等优点.对类固醇样品进行了一级质谱以及串联质谱的表征,发现其一级谱图能够体现出类固醇化合物的结构稳定性,而在串联质谱图中则出现了较多的丢水碎片.本工作结合能量计算详细比较分析了典型类固醇样品在碰撞诱导解离(CID)碎裂过程中的丢水过程.另外,通过比较二级质谱的不同以及对其碎裂过程的分析推测,睾酮和去氢表雄酮这对同分异构体得以区分.     

傅立叶变换离子回旋共振质谱法对赤灵芝的化学成分鉴定和指纹图谱研究

建立了基于傅立叶变换离子回旋共振超高分辨质谱(FTICR-MS)的赤灵芝化学成分鉴定和指纹图谱分析方法,并应用于不同产地赤灵芝样品的来源区分。样品采用50%甲醇进行回流提取后,以流动注射的进样方式进行直接质谱分析。以ESI离子源在负离子模式下进行检测,质荷比扫描范围为100～1 000 Da。采用精确分子量测定和碰撞诱导解离实验进行化学成分鉴定,通过与文献进行比对,共鉴定出63种化学成分(1种萜烯醛、3种糖、4种三萜醇、6种有机酸和49种三萜酸类成分)。采用聚类分析和主成分分析(PCA)对所获得的质谱指纹图谱进行统计学分析,在95%的置信区间下,多个批次不同产地的赤灵芝样品得到了较好的来源区分。研究结果表明该方法可实现赤灵芝的直接、快速、高效分析和指纹图谱研究,在中药分析领域有着广阔的应用前景。     

纳升电喷雾串联质谱法确证阿托西班的一级结构

利用电喷雾串联质谱对合成八肽阿托西班进行了二硫键还原前后的精确分子量测定和一级结构的确证.首先通过全扫描模式测定了其还原前后的精确分子量,然后选择母离子m/z 498.73(双电荷)通过串联质谱(MS/MS)得到碎片离子,采用Y离子的方法测定了阿托西班的序列并对其的修饰位点进行了确证.本方法具有灵敏度高、速度快、样品无需纯化等特点,在多肽类药物一级结构分析方面具有独特的优势.     

Impact of alkali treatment on physico-chemical,thermal, structural and tensile properties of Carica papaya bark fibers

This study aims to examine the effect of sodium hydroxide (NaOH) treatment on the physico-chemical properties, structure, thermal, tensile and surface topography of Carica papaya fibers (CPFs). The surface of raw CPFs was modified by soaking with 5% NaOH solution for 15, 30, 45, 60, 75 and 90?min. The results of thermo-gravimetric analysis revealed that the optimum treatment time for alkali treatment was 60?min. It was found that the alkali treatment improved the properties of the CPFs. The results of TGA, FT-IR, XRD and AFM suggest that the treated CPF is a suitable alternative as reinforcement in polymer composites.     

Chemometric and trend analysis of water quality of the South Chennai lakes: an integrated environmental study

In order to bring out the nature of the factors influencing lake water composition, multivariate statistical analysis and trend analysis were performed based on the hydrochemical data of the study area, namely, South Chennai. Change in land use pattern and settlements along the banks of the lakes alters the quality and quantity of the surface water. In the present study, the R‐mode factor analysis and cluster analysis were applied to the geochemical parameters of the water to identify the factors affecting the chemical composition of the lake water. Dendograms of both the seasons give three major clusters, reflecting the groups of unpolluted to moderately polluted, polluted, and heavily polluted stations. The movement of stations from one cluster to another clearly brings out the seasonal variation in the chemical composition of the lake water. The complex hydrochemical data of the surface water were interpreted by condensing them into three major factors. Factor score analysis was used successfully to delineate the stations under study and the role of the contributing factors, and the nature of factors responsible for the variation in chemical composition of the water has been clearly brought out. Results of trend analysis using ArcGIS clearly indicate that the trend in water quality is deteriorating at a faster rate in the eastern part of the study area. It is understood that although natural shifts probably can account for some of the variation, it is most likely that human activities play a major role in affecting the water quality on a regional scale. Copyright © 2014 John Wiley & Sons, Ltd.     

On-line fermentation gas analysis: Error analysis and application of mass spectrometry

On-line fermentation gas analysis is of general interest because it permits the determination of metabolic rates in almost any biological process using living organisms. The consumption and production of gases (O₂, CO₂, CH₄, etc.) and volatile compounds may be determined without causing any risk of infection. Elemental balancing permits the determination of other metabolic rates if the stoichiometry is known. This was studied with the production of poly-β-hydroxybutyrate (PHB) by Alcaligenes latus. Estimations were based on the measurement of gas partial pressure and flow-rates, pH and alkali consumption rate. Experiments with a small quadrupole mass spectrometer showed unacceptable error propagation. Therefore, dynamic error propagation for all rates was studied using simulation. It was found that, for example, a 1% relative offset-calibration error for oxygen can result in an error in PHB estimation of > 50%. It is suggested that this culture is used in combination with elemental balancing for thorough tests of the accuracy of on-line gas analysis equipment. An on-line process gas analyser based on a quadrupole mass spectrometer (Balzers PGM 407) gave the following precision values (abs. vol.?%) during cultivation of Bacillus subtilis: nitrogen (m/z 14), 0.024; oxygen (m/z 32), 0.020; argon (m/z 40), 0.0011; and carbon dioxide (m/z 44), 0.0034. These values, combined with automatic recalibration, would be sufficient for reasonable estimation of PHB, biomass and substrates.     

Determination of rank by augmentation (DRAUG)

Determining the rank of a chemical matrix is the first step in many multivariate, chemometric studies. Rank is defined as the minimum number of linearly independent factors after deletion of factors that contribute to random, nonlinear, uncorrelated errors. Adding a matrix of rank 1 to a data matrix not only increases the rank by one unit but also perturbs the primary factor axes, having little effect on the secondary axes associated with the random errors in the measurements. The primary rank of a data matrix can be determined by comparing the residual variances obtained from principal component analysis (PCA) of the original data matrix to those obtained from an augmented matrix. The ratio of the residual variances between adjacent factor levels represents a Fisher ratio that can be used to distinguish the primary factors (chemical as well as instrumental factors) from the secondary factors (experimental errors). The results gleaned from model studies as well as those from experimental studies are used to illustrate the efficacy of the proposed methodology. The method is independent of the nature of the error distribution. Limitations and precautions are discussed. An algorithm, written in MATLAB format, is included. Copyright © 2011 John Wiley & Sons, Ltd.     

新材料的发展与分析化学

文章介绍了新材料的重要性及发展方向,分析化学在新材料研制中起着耳目的作用,另一方面新材料也为分析化学的进展提供了课题与条件。微量分析、微区分析、表面分析是此领域中的重点。在未来的发展中,分析化学在材料的发展中的地位不会改变,并期待着分析灵敏度与空间分辩率的进一步提高。     

用局部拟合主成分回归计算光度分析法测定黄连生物碱

针对具有样本数据非无匀分布和非线性特点的光度分析问题，提聘种局部拟合 主成分回归法，用于中药多组分计算测定。该方法根据待测样本与各已知样本光度 分析数据的欧式距离确定相应的权值，将部分权值较大的样本组成校正集，并用分 段线性拟合算法建立待测样本的校正预测模型，将其用于分析黄连的药根碱、巴巴 亭和小檗碱等三种生物碱，所得预测均方根误差分别为0.023,0.0400和0.052，优 于主成分回归法、偏最小二乘法以及人工神经元网络法所得结果。这表明，本方法 用于中药光度分析能获得较为准确的计算分析结果。     

高效液相色谱荧光检测法测定福建乌龙茶中痕量硒

本文研究了2,3-二氨基萘(DAN)与Se(Ⅳ)反应,生成4.5-苯并苤硒脑(NSD),利用环已烷萃取反应生成的络合物。将有机相注射入填充有μ一Bondapak C_(18)固定相的色谱柱,以环已烷-四氢呋喃(90:10)为流动相,流速为1.0 mL/min,进行HPLC一荧光检测。测定了福建乌龙茶中的微量硒。方法的精密度和回收度均好。检测限达0.12 ng。     

双嘧达莫的荧光光谱分析法

以荧光光谱法研究了双嘧达莫在溴化十六烷基三甲基铵(CTMAB)、β_环糊精 (β_CD)、十二烷基硫酸钠 (SDS)等介质体系中的荧光性质 ,发现CTMAB、SDS和 β_CD对双嘧达莫均有不同程度的荧光增敏作用 ,提出了在CTMAB、SDS和 β_CD水溶液中测定双嘧达莫的荧光光谱分析法 ;该法灵敏度高 ,检出限低(3.20×10 -9mol/L) ,在6.40×10 -8～3.20×10 -6mol/L范围内荧光强度与双嘧达莫的浓度呈良好线性关系     

Determination of Mercury in Geological Materials by Continuous-Flow,Cold-Vapor,Atomic Absorption Spectrophotometry

Abstract

To determine mercury in geological materials, samples are digested with nitric acid and sodium dichromate in a closed teflon vessel. After bringing to a constant weight, the digest is mixed with air and a sodium chloride-hydroxylamine hydrochloride-sulfuric acid solution and then Hg(II) is reduced to Hg with stannous chloride in a continuous flow manifold. The mercury vapor is then separated and measured using cold vapor atomic absorption spectrophotometry (CV-AAS). For a 100 mg sample the limit of detection is 20 parts per billion (ppb) Hg in sample. To obtain a 1% absorption signal, the described method requires 0.21 ppb Hg solution (equal to 16 ppb in sample). Precision is acceptable at less than 1.2% RSD for a 10 ppb Hg aqueous standard. Accuracy is demonstrated by the results of the analysis of standard reference materials. Several elements do interfere but the effect is minimal because either the digestion procedure does not dissolve them (e.g., Au or Pt) or the; are normally of low abundance (e.g., Se or Te).