二维相关红外光谱与奶粉的品质分析

采用红外光谱法(FT-IR)并结合二阶导数谱对几种奶粉产品进行了无损快速鉴别。结果表明：不同脂肪含量的奶粉其最主要的差别直观地表现在1747cm^-1对应的脂肪C=O吸收峰强度的不同;同理,不同糖含量的奶粉红外谱图上的主要差别就体现在糖的特征峰带(1150—900cm^-1)的强度上。最后,采用二维相关红外光谱法(2D-IR)对全脂奶粉和全脂甜奶粉进行了热扰动过程研究,发现由于糖类物质的加入,奶粉蛋白成分在常温下变得相对稳定。该法为研究奶粉的稳定性提供了一条新的途径。     

不同产地黄芪的红外光谱鉴别研究

采用红外光谱、二阶导数红外光谱和二维相关红外光谱,对四种不同产地的黄芪原药材进行了鉴别研究。结果表明:不同产地黄芪的红外光谱和二阶导数红外谱具有一定的相似度,与淀粉的红外谱图比对,4个不同产地的黄芪均含有淀粉,其中陕西绥德产黄芪的淀粉含量比其它3个产地黄芪的都要高。山西浑源和山西天镇产黄芪谱图的1 510、1 425cm-1木质素特征峰比内蒙古固阳和陕西绥德产黄芪的更为明显,说明前二者产黄芪中木质素含量高于后二者产黄芪。在二维相关红外谱图上,根据4个产地黄芪的相对峰强度的差异,可进行产地的鉴别。研究结果表明对于不同产地黄芪的鉴别,红外三级鉴定法是一种快速有效的新方法。     

蒙药草乌花及其提取物化学成分的红外光谱法整体结构解析

采用傅立叶变换红外光谱法并借助于二阶导数谱以及二维相关红外光谱(2D-FTIR)研究了蒙药草乌花原药材及不同溶剂提取物(依次采用乙醚,乙醇和水提取)所含化学成分的红外谱图整体变化规律.结果显示:在草乌花原药材中具有明显的多糖类化合物的红外特征吸收峰,证明该药材中含有大量多糖类成分.草乌花药材乙醚和醇提物的红外光谱较相似...     

真伪大黄的二维相关红外光谱

采用红外光谱法并结合二维相关光谱(two-dimensional correlation spectroscopy)分析技术，对药用西宁大黄和伪品华北大黄进行了无损快速鉴别研究。西宁大黄和华北大黄在一维谱图上差别不显著，而在二维谱图上显示出较大的差别。在1200-1700cm-1波段范围内，西宁大黄在同步图上有两个较强的自动峰，分别在1460和1560cm^-1附近，而华北大黄只有一个较强的自动峰，在1460cm^-1附近；同样在1030-1170cm-1波段范围内西宁大黄有两个较强的自动峰，分别在1060和1080cm^-1附近，而伪品大黄也只有一个较强的自动峰，在1080cm^-1附近。两个波段的异步谱也显示出较大的差别。结果表明：二维相关谱可以提高谱图的分辨率，增加谱图的识别能力，可用于药材真伪品的鉴别。该法快速、准确，为客观评价中药材的来源提供了一种新的方法。     

抗坏血酸升温氧化过程的二维相关红外光谱分析

采用傅里叶变换红外光谱法 (FTIR)和二维相关分析 (2DCorrelationAnalysis)技术研究了固态抗坏血酸在 2 0℃～ 1 60℃的升温氧化过程。结果表明 :抗坏血酸随着温度升高的红外光谱的特征峰在一维图上变化不明显。借助于二维相关分析 ,不仅提高了谱图的分辨率 ,将一维红外谱图上 1 674cm- 1 处的单峰分解为两个自相关峰 ,显示了抗坏血酸的互变异构体中酮式结构的CO基团和醇式结构的CC基团的振动 ;还揭示了分子内各官能团之间的相互作用 ,反映了在升温氧化过程中这些基团之间的协同关系和变化的先后顺序。抗坏血酸分子中CO、CC和COC基团发生了相互作用 ,其变化的顺序是CC先于COC发生偶极矩的变化 ,最后是CO发生变化 ,此现象与抗坏血酸的氧化反应机理相一致。总之 ,二维相关红外分析可以作为研究抗坏血酸升温氧化过程中结构动态变化的一种新方法 ,也为抗坏血酸在氧化过程中的机理研究提供了一个重要的理论依据。     

红外光谱法对肉苁蓉径向不同部位的分析与评价

采用傅里叶变换红外光谱、二阶导数谱和二维相关红外光谱技术对肉苁蓉由表及里3个部位的药材粉末及其水提物和醇提物进行了分析与评价研究.结果表明,肉苁蓉不同部位的一维光谱非常相似,三者相似系数分别为0.9605,0.944和0.976;二阶导数谱中峰位和峰强的差异明显.1430～1700 cm-1范围内的二维相关谱中皮部自动峰有3个,而中部及髓部均为4个,更直观的反映出三者的差异.不同部位水提物和醇提物的分析结果进一步明确了肉苁蓉皮部芳香类、环烯醚萜类及糖苷类物质与中部和髓部存在明显不同,而髓部的水溶性多糖、半乳糖醇和苯乙醇苷类物质均高于其它部位.可见红外光谱法结合二维相关红外光谱技术为同种药材不同部位的细微差异分析和评价提供了一种快速、全面和客观的方法和手段.     

36种灵芝产品傅里叶变换红外光谱快速鉴别研究

利用傅里叶变换红外光谱法（FTIR）无损快速鉴别了36种灵芝类产品。灵芝、孢子粉和菌丝体的红外谱图差别较显著;不同厂家所生产的灵芝产品由于所选用灵芝的产地不同、所用辅料的种类以及辅料所添加的多少不同,均引起了谱图的相对峰强度和波数位置的改变。结果表明：36种灵芝产品均可以根据红外的特征谱图进行分类鉴别。该方法快速、不需对灵芝产品进行分离提取。     

运用二维相关红外光谱分析技术研究芦丁的热微扰过程

采用傅里叶变换红外光谱法(FTIR)和二维相关分析(2D correlation analysis)技术研究了固态芦丁20℃～160℃的升温过程。实验结果显示，芦丁红外光谱的特征峰在红外图上随着温度升高变化不明显，说明实验中芦丁分子没有发生氧化反应。借助于二维相关分析，提高了谱图的分辨率，将芦丁分子中不同苯环的骨架振动峰在二维同步图上显示并区分开来。同时还揭示了芦丁分子内各官能团之间的相互作用，反映了在热微扰过程中这些基因之间的协同关系和变化的先后顺序。分析结果表明；芦丁分子中两个苯环，杂环的C=O及=C-O-C基因发生了相互作用。其变化的顺序是和含氧杂环相连的苯环，C=O，=C-O-C和含氧杂环相并的苯环。此结论与芦丁的氧化反应机理相一致。总之，二维相关红外分析可以作为研究芦丁热微扰过程中结构动态变化的一种新方法，也为芦丁在氧化过程中的机理研究提供了一个重要的理论依据。     

大黄的傅里叶变换红外光谱法快速鉴别

利用傅里叶变换红外(FTIR)光谱法对不同的大黄药材进行了分析?结果表明：大黄样品在4000～1800cm^-1区域有相似的红外光谱特征,而在1800～400cm^-1区域不同组系、不同品种的样品又存在很大差异。因此红外光谱法可以快速、简便、直观地对中药材进行质量鉴别。     

6种燕窝的傅里叶变换红外光谱法原性状快速鉴别

首次利用微钻石ATR探头傅里叶变换红外光谱法（FTIR）无损快速鉴别了6种燕窝。结果表明：印尼燕、越南燕、马来西亚燕、泰国血燕、菲律宾草燕和香港市售燕窝均有自己的红外特征谱,据谱图吸收峰的波数位置和相对峰强度的差异可达到燕窝类同和伪品和鉴别。该方法快速、简便、可靠。     

中药配方颗粒红外指纹图谱研究

采用傅里叶变换红外光谱(FTIR)技术分析鉴别了350种中药配方颗粒红外指纹图谱的结构特征。结果表明，借助于各种药用植物和动物配方颗粒的FTIR指纹图谱的差别可进行快速分类鉴别；根据配方颗粒与中药原药材谱图之间的相关性，以及中药材经过炮制、加热、水提处理后，配方颗粒与原药材之间在谱图上所代表的化学成分上的异同可以进行中药配方颗粒的质量控制；凭借不同炮制方法与未经炮制处理的配方颗粒间FTIR谱图的差别，可以进一步分析炮制后配方颗粒化学成分的变化，不同炮制方法对配方颗粒化学成分的影响；对于不同厂家的配方颗粒及同一厂家不同生产批号的配方颗粒也进行了较系统的分析研究。方法快速，简便，专属性强，不需对样品进行分离提取。     

Application of mid-infared spectroscopy with multivariate analysis for the discrimination of toxic plant,Gelsemium elegans

Gelsemium elegans is a commonly used herb to treat different kinds of diseases. However, the indole alkaloid present in the plant might cause serious side effects. In this research, the infrared spectroscopic identification approach including Fourier transform infrared spectroscopy (FT-IR), Second derivative infrared spectra (SD-IR) and two-dimensional correlation infrared spectra (2D-IR) was used to develop a simple and rapid method to discriminate the stem, leaf and root of the Gelsemium elegans plant. This is because the stem, leaf and root contained different amount of indole alkaloid that contributed to the toxicity. Through this study, all the three parts were successfully identified and discriminated through the infrared spectroscopic identification method. The identification approach was also validated by comparing the samples of the mixture of both stem and root (SR) to the stem and root, respectively and also by comparing different plants with Gelsemium elegans plant. Besides that, all the samples of different parts of the Gelsemium elegans were analyzed with the Principal Component Analysis (PCA) and Soft Independent Modelling of Class Analogy (SIMCA) pattern recognition technique to test and verify the experimental results. The SIMCA model was validated by comparing 70 standard herbs to the model. From the results, macroscopic IR fingerprint method and the classification analysis successfully discriminate not only between Gelsemium elegans samples and standard herbs but also successfully distinguished the three different parts of Gelsemium elegans plant.     

多变量统计分类技术——磺胺甲基异口恶唑质量评价的研究

本文研究了近红外漫反射光谱法进行磺胺甲基异恶唑粉末药品质量评价的可能性，用多变量统计分类技术（系统聚类分析，逐步聚类分析，主成分分析和逐步判别分析），从磺胺甲基异恶唑末药品的一阶导数光谱，成功地鉴别了真药，劣药和假药，结果令人满意。     

Planar Array Transient Infrared Spectroscopy: A New Tool for the Time-Resolved Analysis of Polymers

Summary: Planar array infrared spectroscopy (PA-IR) was used for the first time to record transient infrared (TIRS) spectra. In proof-of-concept experiments, it was demonstrated that PA-TIRS can record high quality spectra of common polymeric samples. It was shown the this new technique allows acquiring spectra in as little as 17 ms, opening the door to high speed, real-time monitoring applications.     

Discrimination of extracted lipophilic constituents of Angelica with multi-steps infrared macro-fingerprint method

It is the most pressing task that fast and effective analysis methods monitor the inherent qualities of traditional Chinese medicine (TCM) and its corresponding extract products as a complicated mixture system. Owing to the unique fingerprint character and extensive applicability to test sample, infrared spectral method has been used in many research fields. In recent years, Fourier transform infrared spectroscopy (FT-IR), accompanied with the development of spectroscopic technology and combined with computer science, plays an important role in the TCM research. In this paper, we use FT-IR, second derivative infrared spectroscopy and two-dimensional correlation infrared spectroscopy (2D-IR) step by step to analyze the lipophilic constituents in Angelica extracted by two different extract crafts. As a result, all spectra can not only supply lots of structural information of main constituents in the complicated system, but also can differentiate the tiny differences between the similar systems according to the infrared macro-fingerprint characters. This is a very quick, effective and well repetitive method for monitoring the process of the TCM.     

近红外漫反射一阶导数光谱法作安体舒通质量控制研究

研究了近红外漫反射一阶导数光谱法作安休舒通粉末药品质量控制的可能性，用多变量统计分类技术，从安体舒通粉末药品的近红外漫反射一阶导数光谱，成功地鉴别了真，劣和假药，结果令人满意。     

Analysis and discrimination of ten different sponges by multi-step infrared spectroscopy

In this study,a convenient method using multi-step infrared spectroscopy,including Fourier transform infrared spectroscopy(FT-IR),second derivative infrared spectroscopy(SD-IR) and two-dimensional correlation infrared spectroscopy(2DCOS-IR),was employed to analyze and discriminate ten marine sponges from two classes collected from the Xisha Islands in the South China Sea.Each sponge had an exclusive macroscopic fingerprint.From the IR spectra,it was noted that the main ingredient of calcareous sponges was calcium carbonate,but that of demosponges was proteins.For sponges from the same genus or having highly similar chemical profile(IR spectral profile),SD-IR and 2DCOS-IR were applied to successfully reveal the tiny differences.It was demonstrated that the multi-step infrared spectroscopy was a feasible and objective approach for marine sponge identification.     

大气中痕量气体污染物的傅里叶变换红外光谱分析

本文从两种类型的长光程气体红外吸收方法的角度，介绍了傅里叶变换红外光谱在大气痕量气体污染物分析中的应用，并评述了它的现状和发展前景。