傅立叶近红外光谱法用于鹿茸的定性分析

利用近红外光谱(NIRS)和OPUS/Ident软件,通过计算采集到的样品的近红外光谱图之间的欧氏距离来反映不同鹿茸样品间的差异,对不同产地、不同种类的鹿茸进行了分类鉴别(Identification)。结果表明,与传统方法繁琐复杂,主观性大相比,近红外光谱法能实现鹿茸的快速、无损和可靠的分析鉴别,为鹿茸的质量鉴别提供了一个客观有效的方法。     

基于红外光谱多元分析的记号笔种类鉴别研究

借助衰减全反射红外光谱结合K近邻算法和层次聚类,建立记号笔墨水种类鉴别的分类模型,为记号笔的种类鉴别提供有效的新方法。研究基于记号笔墨水的外光谱矩阵数据,通过建立主成分和判别分析分析模型和K近邻算法分类模型,实现对模型性能的比较和对模型分类结果的验证。实验结果表明,以水性和油性作为分类标准,模型对样本的区分能力好,其正确率为100%。借助红外谱图进一步分析水性油性样本时,其最强峰与其对应溶剂相符合。借助K近邻算法进行验证性分析,按重要性加权特征给不同的样本施加不同的权重,运用训练样本即为测试样本的方法交互验证,选取K值为1,训练集∶保持集=3∶1,建立分类模型,模型总分类准确率达100%,区分效果良好,不同品牌的油性、水性样本能被聚类为一组。综上,衰减全反射红外光谱结合K近邻算法和层次聚类可作为记号笔墨水种类鉴别的一种快速准确的分析方法。     

红外光谱及Bayes信息融合技术的葡萄酒鉴别研究

建立了将检出限不同的近红外透射光谱技术和中红外衰减全反射光谱技术进行Bayes信息融合后用于葡萄酒鉴别的方法。分别采集3种品种和3种陈酿方式的干红葡萄酒的近红外透射光谱和中红外衰减全反射光谱,用PLS-DA法分别建立基于近红外光谱和中红外光谱的判别模型,用Bayes方法实现两种判别结果的融合修正。信息融合后的结果为:葡萄酒品种鉴别模型的建模集准确率为95.08%,检验集准确率为94.68%,葡萄酒陈酿方式鉴别模型的建模集准确率为98.91%,检验集准确率为98.75%;均优于单独采用一种光谱技术的判别结果。实验表明,信息融合技术有助于模型判别效果的提高,采用Bayes信息融合技术对葡萄酒品种和陈酿方式进行快速识别是可行的。     

衰减全反射红外光谱法测定电工胶带粘合剂

采用衰减全反射傅里叶变换红外光谱法(ATR-FTIR)对31个品牌电工胶带的粘合剂进行分析,通过红外特征吸收峰确定粘合剂的主要成分均为天然橡胶和丁苯橡胶混合物,不同品牌的样品通过红外光谱定性分析无法区分。通过OPUS软件分别选择天然橡胶和丁苯橡胶的红外特征吸收峰进行峰面积积分,计算两种物质特征峰面积的相对比例,采用单因素方差分析确定不同样品天然橡胶和丁苯橡胶特征峰面积的相对比例是否存在统计学差异,然后采用最小显著性差异法进行验后多重比较,分析特征峰面积相对比例存在统计学差异的品牌。31个品牌电工胶带组成的465组样品对中有422组可以区分,区分率达到90.8%。结果表明,通过红外光谱定量分析可实现不同品牌电工胶带粘合剂的区分。     

表面增强红外吸收光谱——表面敏感的原位免标记光谱电化学技术

表面增强红外吸收光谱（尤其衰减全反射表面增强红外吸收光谱）是一种超灵敏的红外光谱技术,能够实现亚单层膜水平的表面选择性探测. 由于增强基底可同时作为工作电极实现电化学调制,衰减全反射表面增强红外吸收光谱是一种表面敏感的原位免标记光谱电化学技术. 本文首先简要介绍了表面增强红外吸收光谱的基本原理和技术特点,之后通过代表性研究工作着重介绍近年衰减全反射表面增强红外吸收光谱电化学的应用和发展,最后展望了表面增强红外光谱所面临的挑战和潜在的研究方向.     

基于傅里叶变换中红外光谱的小白菜硝酸盐含量的快速测定

采用不同的中红外光谱(漫反射光谱、光声光谱和衰减全反射光谱),对小白菜叶片中的硝酸盐含量进行快速表征。结果表明,在硝酸盐的特征吸收区(1200～1500 cm-1),3种光谱均存在不同程度的干扰吸收,其中漫反射光谱干扰最多,光声光谱次之,衰减全反射光谱最少;基于红外光谱的主成分回归结果验证了此结果,其线性回归系数(R2)分别为0.4003、0.4874和0.8741。采用衰减全反射光谱并结合偏最小二乘法可进一步改进硝态氮的预测模型,显著减少预测误差,相关系数(R2)为0.8851,RPD值为3.19,预测模型达到很优秀水平。因此,中红外衰减全反射光谱可应用于小白菜叶片中硝酸盐的快速测定。     

硝基漆品牌厂家红外光谱鉴别及预测模型建立

在法庭科学领域,硝基漆的检验鉴别是一项重要的工作。为提高检验工作效率,提高分析可靠性,提出一种基于中红外光谱结合化学计量学的硝基漆鉴别方法。实验采集并获取长颈鹿等6种品牌共计59个样本的红外光谱数据,借助主成分分析、K近邻模型和判别分析构建分类模型。结果表明,PCA模型和K近邻模型对59个样本的区分能力相对较弱,判别分析模型的区分能力较强,实现了96.6%的准确区分和归类,分类结果理想。该方法能够快速,准确,无损地鉴别硝基漆,可为其他物证的检验鉴别提供一定的借鉴和参考。     

傅里叶变换中红外光谱法检测脑胶质瘤

采用傅里叶变换衰减全反射中红外光谱法检测了19例液氮冻存的脑胶质瘤离体组织样品(星形细胞瘤10例, 少枝-星形细胞瘤9例), 对得到的红外光谱进行分析发现, 恶性程度不同的星形细胞瘤组织的红外光谱存在差异, 并且不同类型的脑胶质瘤组织的红外光谱也表现出较为明显的区别, 因此可以根据各个特征吸收峰的峰位、 峰形及谱峰强度等信息来区分脑胶质瘤, 并初步鉴别脑胶质瘤的性质. 研究结果表明, 通过某些特征吸收峰峰位的变化来鉴别星形细胞瘤和少枝-星形细胞瘤与病理诊断结果的符合率约为80%, 说明傅里叶变换衰减全反射中红外光谱法有望发展成为一种对样品无损伤、 快速的脑肿瘤诊断新方法.     

基于近红外光谱技术的内燃机油鉴别研究

针对常规近红外光谱技术测试内燃机油时光谱信号响应低,对大分子基团分辨率不高,以及光谱信息与其结构组成之间存在非线性关系等难点,提出了一种基于电压为外扰方式的内燃机油二维近红外光谱测试技术,介绍了近红外光谱具有分形的特征.运用小波变换将近红外光谱分解至不同分辨尺度,然后计算各尺度分量的分形维数(盒维数),用近红外光谱的小波基分形参量替代近红外光谱的采样值.计算结果表明,在不同小波基和不同分解尺度下,内燃机油近红外光谱具有不同的盒维数,得到了近红外光谱在分形意义下的特征信息.以美孚、埃索和壳牌3种内燃机油品种鉴别分类问题为实例,比较研究了近红外光谱采样值与小波基分形参量,K近邻法的交互验证计算结果表明,小波基分形参量的分类效果优于近红外光谱采样值.采用近红外光谱技术测试内燃机油的结构组成信息是可行的.     

手持式差分拉曼光谱对纸张物证的分类研究

为建立一种简单、快速、高效、无损的鉴别不同种类纸张物证的方法,利用手持式差分拉曼光谱对收集到的43个不同种类、不同用途的纸张物证进行检验。根据纸张物证中填料的拉曼特征峰对样品进行分类,并结合聚类分析对实验数据进行处理。结果表明:当组间距离为7时,样本可分为5类,分类效果较好。该方法简便快速,结果准确可靠,为公安实际工作中纸张物证的分类鉴别提供思路。     

Advances of sensitive techniques in laser spectroscopy

Different techniques are used for the sensitive detection of overtone transitions of small molecules, such as H₂S, C₂H₂, OCS, O₃ in the visible and near infrared region. The techniques include: phase-modulated or wavelength-modulation absorption spectroscopy with a widely tunable single mode diode laser, opto-acoustic spectroscopy in resonance cells with a color center laser or a Ti:Sapphire laser, and sub-Doppler opto-thermal spectroscopy in cold collimated molecular beams, using a low temperature bolometer as detector. The three techniques are compared with regard to sensitivity and spectral resolution. The mass selective sensitive detection of small metal clusters Li₃ and Na₃ and their high resolution sub-Doppler spectroscopy, using resonant two-photon ionization with cw lasers, is briefly discussed.     

Decongestion of methylene spectra in biological and non-biological systems using picosecond 2DIR spectroscopy measuring electron-vibration–vibration coupling

Methylene is found in the repeat units of many polymers including proteins. In some cases it appears to be a useful reporter of variation in local environment whilst in other contexts average behaviour seems to dominate. In this paper we apply a particular 2DIR technique to a range of systems containing methylene groups, showing that mode frequencies, linewidths and splittings can be easily extracted even when the infrared absorption bands are too congested to allow reliable analysis. 2DIR spectra of polyethylene and several liquid alkanes are compared and it is shown for the case of l-arginine that the methylene scissor modes are split and that this can be resolved by tracking the 2DIR spectrum as a function of time. Calculations from first principles reveal that for most of the methylene modes studied, electrical anharmonicity is the dominant contributor to the 2DIR cross-peak intensity, with the mechanical anharmonicity making only a small contribution.     

Study of the thermal decomposition of a sepiolite by mid- and near-infrared spectroscopies

Near-infrared (NIR) and mid-infrared (MIR) spectroscopies were used to characterize the hydroxyl groups present in a sepiolite and its calcination products at 250, 500 and 800 °C. Calcining the sepiolite at 250 °C was found to result in its dehydration through the loss of coordination water. Raising the calcination temperature to 500 °C caused the sepiolite structure to fold and hydroxyl groups in octahedral layers to be removed. Finally, calcination at 800 °C resulted in a phase change leading to enstatite, as confirmed by XRD spectroscopy.     

Terahertz Time‐Domain Spectroscopy of Gases,Liquids, and Solids

The techniques and methods employed in the spectroscopic characterization of gases, liquids, and solids in the terahertz frequency range are reviewed. Terahertz time‐domain spectroscopy is applied to address a broadband frequency range between 100 GHz and 5 THz with a sub‐10 GHz frequency resolution. The unique spectral absorption features measured can be efficiently used in material identification and sensing. Possibilities and limitations of fundamental and industrial applications are discussed.     

Polarization Dependent Time-Resolved Infrared Spectroscopy and Its Applications

Polarization dependent time-resolved infrared (TRIR) spectroscopy has proven to be a useful technique to study the structural dynamics in a photochemical process. The angular information of transient species is obtainable in this measurement, which makes it a valuable technique for the investigation of electron distribution, molecular structure, and conformational dynamics. In this review, we briefly introduce the principles and applications of polarization dependent TRIR spectroscopy. We mainly focused on the following topics: (i) an overview of TRIR spectroscopy, (ii) principles of TRIR spectroscopy and its advantages compared to the other ultrafast techniques, (iii) examples that use polarization dependent TRIR spectroscopy to probe a variety of chemical and dynamical phenomena including protein conformational dynamics, excited state electron localization, and photoisomerization, (iv) the limitations and prospects of TRIR spectroscopy.     

The Kinetic and Mechanistic Evaluation of NMR Spectra. New analytical methods (18)

In addition to the static parameters of the chemical shifts and coupling constants, which serve as a source of knowledge for molecular structure and stereochemistry, an NMR spectrum can frequently furnish dynamic quantities characterizing relaxation and exchange phenomena. The information about nuclear switching processes has proved to be particularly useful in practice for the detection of internal molecular motions and for the estimation or determination of the corresponding energy barriers. A plethora of studies of this nature has in the past been performed on simple proton spectra. Methodological developments of recent years have led to a significant reduction of the effort required for the quantitative dynamic evaluation of NMR spectra arising from complex spin systems or involving other nuclei. In many cases it has, moreover, become possible to extract detailed mechanistic information inaccessible by other means. The practical execution of such analyses will be explained and illustrated by a selected number of applications.     

Identification of Triplet States in Carotenoids by Intracavity Absorption Spectroscopy and Measurements of Delayed Fluorescence

Owing to the low quantum yield of phosphorescence , triplet states of carotenoids have been very difficult to identify. These states can be characterized by intracavity absorption spectroscopy, which allows the direct measurement of the spin-forbidden singlet–triplet transitions in low concentrated solutions, and by delayed fluorescence measurements.     

Isolation and Spectroscopic Characterization of New Endohedral Fullerenes in the Size Gap of C74 to C76

New alkaline earth metal endohedral fullerenes Sr@C₇₄, Sr@C₇₆‐I, II and Ca@C₇₄, prepared by means of the RF‐method, have been isolated using multistep HPLC. The purity was ascertained by anionic LDI TOF mass spectroscopy, considering the isotopic patterns of the compounds. The influence of the incorporated metal on the electronic structure has been studied by VIS‐NIR and Raman spectroscopy. Photoexcited triplet‐state EPR spectroscopy was used to investigate the structure of these otherwise EPR‐silent fullerenes. Displaying the frequency of the cage vs. encapsulated metal vibrational modes as a function of the square root of the reciprocal masses of the metals clearly separates the M³⁺@C_n^3— and the M²⁺@C_n^2— families. This seems to be a generally applicable tool for monitoring the metal to fullerene charge transfer.