Applying Fourier-transform infrared spectroscopy and chemometrics to the characterization and identification of lactic acid bacteria

The infrared absorption spectra of 55 lactic acid bacteria belonging to the genera Lactobacillus, Weissella and Carnobacterium were obtained and mathematically analyzed. Sixteen reference strains and 39 food strains isolated from meat and meat products and belonging to the genera Lactobacillus (6 species), Weissella (3 species) and Carnobacterium (2 species) were processed under standardized conditions and their medium infrared spectra obtained using Fourier-transform infrared (FT-IR) spectroscopy. Reproducibility indexes and similarities between FT-IR spectra were calculated using modified correlation coefficients to detect the ranges with the best reproducibility and discrimination properties. Hierarchical cluster analysis and stepwise discriminant analysis (SDA) were subsequently carried out to detect classes and create library groups. Reference strains could be distinguished on the basis of their spectral data and their clustering was in agreement with differences in chemical composition of the cell wall. For the 39 food isolates, the capability of two identification systems was compared. Unknown strains were identified (a) using the linear functions obtained from SDA (canonical variables) of the variables that provide the best discrimination of spectra, and (b) by calculating a differentiation index when a range of the unknown's transformed IR spectrum was compared to all spectra included in a reference library. The system based on the differentiation index obtained a higher rate of identification, allowing for detection of outliers. FT-IR spectroscopy is shown to afford additional information to phenotypic and genotypic data which may help to establish a more robust taxonomic classification.     

Completely automated open-path FT-IR spectrometry

Atmospheric analysis by open-path Fourier-transform infrared (OP/FT-IR) spectrometry has been possible for over two decades but has not been widely used because of the limitations of the software of commercial instruments. In this paper, we describe the current state-of-the-art of the hardware and software that constitutes a contemporary OP/FT-IR spectrometer. We then describe advances that have been made in our laboratory that have enabled many of the limitations of this type of instrument to be overcome. These include not having to acquire a single-beam background spectrum that compensates for absorption features in the spectra of atmospheric water vapor and carbon dioxide. Instead, an easily measured “short path-length” background spectrum is used for calculation of each absorbance spectrum that is measured over a long path-length. To accomplish this goal, the algorithm used to calculate the concentrations of trace atmospheric molecules was changed from classical least-squares regression (CLS) to partial least-squares regression (PLS). For calibration, OP/FT-IR spectra are measured in pristine air over a wide variety of path-lengths, temperatures, and humidities, ratioed against a short-path background, and converted to absorbance; the reference spectrum of each analyte is then multiplied by randomly selected coefficients and added to these background spectra. Automatic baseline correction for small molecules with resolved rotational fine structure, such as ammonia and methane, is effected using wavelet transforms. A novel method of correcting for the effect of the nonlinear response of mercury cadmium telluride detectors is also incorporated. Finally, target factor analysis may be used to detect the onset of a given pollutant when its concentration exceeds a certain threshold. In this way, the concentration of atmospheric species has been obtained from OP/FT-IR spectra measured at intervals of 1 min over a period of many hours with no operator intervention.     

比值导数波谱-多波长最小一乘回归分光光度法同时测定饮料中糖精钠、苯甲酸和山梨酸

提出了比值导数波谱－多波长最小一乘回归分光光度法。该法能同时测定三组分混合物而毋需零交点波长和等吸收点，且回归稳健性好．可消除异常点的影响。方法用于合成样品和饮料中糖精钠、苯甲酸和山梨酸的同时测定，相对误差＜± ３． ５％，回收率为 ９６． ６％～１０４．４％，相对标准偏差为２．０％～３．１％．     

Comparative evaluation of bioactivity change of crystalline trypsin during compression by chemoinformatics and 2-D Fourier-transform infrared spectroscopy

The purpose of this study is to develop a method of evaluating the enzymatic activity of trypsin in a solid-state based on Fourier transform infrared (FT-IR) spectra using chemoinformatics and two-dimensional (2-D) correlation spectroscopy. Crystalline trypsin powders are compressed at 0-4000 kg cm-2 by a compression/tension tester. The enzymatic activity of trypsin is assayed by the kinetic degradation method. Spectra of 10 calibration sample sets are recorded 3 times with a FT-IR spectrometer. The maximum intensity of FT-IR spectra and enzymatic activity of trypsin decrease as the compression pressure increases. The FT-IR spectra of trypsin samples are subjected to a principal component regression (PCR). A plot of the calibration data obtained is made between the actual and predicted trypsin activity based on a two-component model with gamma2=0.909 (n=30). The regression vector is almost the same as the loading vector for PC1. On the other hand, a generalized two-dimensional (2-D) correlation spectroscopic method is applied to FT-IR spectra of compressed trypsin. The result is consistent with that of the chemoinformatics method. The FT-IR chemoinformatics method allows for solid-state quantitative analysis of the bioactivity of the bulk powder of a polypeptide drug.     

聚乙烯熔体的离散松弛时间谱与熔融指数的关系

该文通过动态线性小振幅剪切震荡实验所得的聚乙烯熔体储能模量Ｇ′（ω）和耗能模量Ｇ″（ω）数据,采用最小二乘法线性回归、正则法和非线性回归法分别计算得到离散松弛时间谱,比较三种方法得到结果的差别,讨论计算参数、温度和材料对离散松驰时间谱影响．     

激光拉曼光谱内标法直接测定乙醇浓度

采用激光拉曼光谱对醇类样品中的乙醇含量进行直接测定。通过不同浓度乙醇的拉曼光谱特征峰(CCO面内伸缩振动884cm-1)与本底水峰组成相对强度比,建立线性回归方程,结果表明,线性范围为4%~40%,线性相关系数为0.9975;检出限为1.02%;回收率为82.0%~105.0%。对白酒、清酒、杨梅酒和医用酒精棉进行了测定,其乙醇平均浓度分别为36.1%、15.5%、23.7%和79.1%;RSD分别为0.22%、1.75%、2.49%和2.76%。此方法具有快速、简便、直接、绿色、对样品无损等优点,适用于白酒类、医用酒精等乙醇含量的检测。     

抗艾滋病药物环尿素类化合物的结构表征及其生物活性的定量预测

提出一种新的结构描述子-按氢分类的电距矢量（H-MEDV），并用于环尿素类 化合物抗人类免疫缺陷病毒（human immuno-deficiency virus，简称HIV）活性预 测，籍以多元线性回归（MLR）建立了H-MEDV与活性之间的相关模型，取得了良好 的结果，相关系数达R = 0.971。另外采用逐步回归（SMR）从原模型参数中选取了 5个参数建立一新模型，其模型相关系数为R = 0.938；继以留一法（Leave-one- out，LOO）进行交互检验，相关系数与之接近，R = 0.908；说明了定量结构活性 相关模型具有很好的稳定性和预测能力。     

啤酒主要成分的近红外光谱法测定

根据近红外光谱的振动吸收强度与有机分子官能团含量的线性关系,用偏最小二乘法,对啤酒的近红外光谱与其中的酒精度、原麦汁浓度以及总酸含量等3种主要成分进行了线性回归,并建立起相关的模型。用该模型对未知啤酒样品中的上述3种成分的含量进行预测,取得了令人非常满意的结果。可望作为啤酒厂的一种快捷而准确的检测方法予以推广。     

Algorithmen zum automatischen Vergleich von Spektren in der HPLC/UV-Kopplung

Summary For normalization of spectra in spectral libraries in UV/VIS range the maximum of absorbance, the area under the spectrum or a linear regression technique may be used. Using the error propagation law the best method should be the linear regression followed by area normalization. In practical work the area normalization has no advantages compared to a modified point normalization, where the mean of the maximum and the two next data points are taken. Therefore, in an automated comparison of UV spectra the modified point normalization is used for searching for similar spectra. The final comparison is done after linear regression normalization. This has advantages in calculation of error propagation and significance levels of two spectra. The reference spectrum is used as independent, the spectrum of the sample as dependent variable.

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Herrn Prof. Dr. W. Fresenius zu seinem 75. Geburtstag gewidmet

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1. Mitteilung siehe [12]     

Alternative common bases and signal compression for wavelets application in chemometrics

Representation or compression of data sets in the wavelet space is usually performed to retain the maximum variance of the original or pretreated data, like in the compression by means of principal components. In order to represent together a number of objects in the wavelet space, a common basis is required, and this common basis is usually obtained by means of the variance spectrum or of the variance wavelet tree. In this study, the use of alternative common bases is suggested, both for classification and regression problems. In the case of classification or class-modeling, the suggested common bases are based on the spectrum of the Fisher weights (a measure of the between-class to within-class variance ratio) or on the spectrum of the SIMCA discriminant weights. In the case of regression, the suggested common bases are obtained by the correlation spectrum (the correlation coefficients of the predictor variables with a response variable) or by the PLS (Partial Least Squares regression) importance of the predictors (the product between the absolute value of the regression coefficient of the predictor in the PLS model and its standard deviation). Other alternative strategies apply the Gram–Schmidt supervised orthogonalization to the wavelet coefficients. The results indicate that, both in classification and regression, the information retained after compression in the wavelets space can be more efficient than that retained with a common basis obtained by variance.     

不对称希夫碱卟啉及其稀土配合物的合成与表征

以二甲基甲酰胺为溶剂,5-对氨基苯基-10,15,20-三苯基卟啉与苯甲醛直接反应得到一种不对称希夫碱卟啉化合物,并合成了它的稀土配合物.用元素分析、紫外-可见光谱、红外光谱1、H核磁共振以及X射线光电子能谱对这些化合物进行了表征,推测了稀土乙酰丙酮卟啉配合物的结构,稀土离子与乙酰丙酮的两个O原子和卟啉的4个吡咯N原子配位,配位数为6,稀土离子位于卟啉平面的上方.     

Determination of sucrose by flow injection analysis with fourier transform infrared detection

A new methodology for the determination of sucrose in complex aqueous matrices by flow injection analysis with FTIR detection is presented. The methodology based on the enzymatic hydrolytic cleavage of sucrose by means of invertase to -D-glucose and -D-fructose. A special manifold consisting of two internally coupled injection valves being switched simultaneously is applied to facilitate recording FTIR spectra of the sample before and after the enzymatic reaction. The analytical readout is taken from the resulting difference spectrum obtained by subtracting the FTIR spectra of the sample before and after the reaction. The developed methodology uses a GC-IR software to continuously record the FTIR spectra of the effluent from the manifold. The proposed method gives linear results in the range of 10 to 100 mmol/l and has been successfully applied to the analysis of sucrose in synthetic mixtures as well as in real samples such as soft drinks.     

Preliminary study of UV ageing process of proteinaceous paint binder by FT-IR and principal component analysis

This work presents a preliminary study on the ageing process of proteinaceous binder materials used in painting under UV light. With this aim, two sets of model samples were prepared: samples prepared using a single protein material and complex samples prepared in a similar way to the sequence of layers in a real painting from lowest to highest complexity (protein, drying oils, pigment and varnish). The study focuses on acquiring information about the possible degradation process of proteinaceous binders due to ageing and how this process be affected by the presence of characteristic non-proteinaceous painting materials, such as lipids from linseed oil, terpenic compounds from varnish and inorganic pigments. Samples simulated the accelerated ageing process, as did the UV light exposition. The FT-IR spectra were recorded after 100, 500, 1000 and 1500 h of exposition. The study of the accelerated ageing process was performed by means of principal component analysis (PCA) using the FT-IR spectra obtained. Loadings from the significant principal components were analysed to find the FT-IR frequency (cm⁻¹) involved in the degradation process. The study showed the lack of any relevant modification on the proteins in the single model samples. On the contrary, the complex model samples showed the ageing process. The accelerated ageing process can be explained by a principal component from PCA. The most affected IR region was 2900-3600 cm⁻¹, where the amide band was included.     

Solvation of cobalt(II) and trifluoromethanesulfonate ions in N,N-dimethylformamide-methanol mixed solvent studied by means of FT-IR spectroscopy

FT-IR spectra of Co(CF(3)SO(3))(2)-N,N-dimethylformamide (DMF)-methanol (MeOH) solutions have been measured over the whole range of solvent composition. The data together with the obtained previously spectra of DMF-MeOH mixtures have been analyzed using the difference spectra method in the region of CO and OH stretching bands. The number of DMF and MeOH molecules in the first solvation sphere of Co(II) ion versus solvent composition has been determined. The second solvation sphere has been revealed and characterized quantitatively. Solvation of trifluoromethanesulfonate (triflate) ion as well as ion association in DMF solution have been also studied.     

Two-dimensional linear discriminant analysis for classification of three-way chemical data

The two-dimensional linear discriminant analysis (2D-LDA) algorithm was originally proposed in the context of face image processing for the extraction of features with maximal discriminant power. However, despite its promising performance in image processing tasks, the 2D-LDA algorithm has not yet been used in applications involving chemical data. The present paper bridges this gap by investigating the use of 2D-LDA in classification problems involving three-way spectral data. The investigation was concerned with simulated data, as well as real-life data sets involving the classification of dry-cured Parma ham according to ageing by surface autofluorescence spectrometry and the classification of edible vegetable oils according to feedstock using total synchronous fluorescence spectrometry. The results were compared with those obtained by using the spectral data with no feature extraction, U-PLS-DA (Partial Least Squares Discriminant Analysis applied to the unfolded data), and LDA employing TUCKER-3 or PARAFAC scores. In the simulated data set, all methods yielded a correct classification rate of 100%. However, in the Parma ham and vegetable oil data sets, better classification rates were obtained by using 2D-LDA (86% and 100%), compared with no feature extraction (76% and 77%), U-PLS-DA (81% and 92%), PARAFAC-LDA (76% and 86%) and TUCKER3-LDA (86% and 93%).     

Preparation and characterization of new hydrogels based on hyaluronic acid and α,β-polyaspartylhydrazide

Hyaluronic acid (HA) has been crosslinked with α,β-polyaspartylhydrazide (PAHy). The crosslinking reaction has been performed in acidic medium in the presence of various amounts of N-ethyl-N′-(3-dimethylaminopropyl)-carbodiimide hydrochloride (EDC). All obtained samples have been characterized by FT-IR analysis and swelling measurements in double distilled water that have confirmed the occurrence of a chemical linkage between two polymers and the affinity towards aqueous medium of HA-PAHy networks, respectively.In vitro degradation assays have been performed in simulated physiological conditions as well as in the presence of hyaluronidase. Experimental data evidenced that HA-PAHy samples undergo a poor chemical and a reduced enzymatic degradation unlike native HA.     

Improved method for extraction of aroma compounds in aged brandies and aqueous alcoholic wood extracts using ultrasound

This work presents a rapid method for dichloromethane extraction of aroma compounds from brandies and aqueous-alcoholic wood extracts, in brandy-like ageing conditions, using ultrasound. The dichloromethane extracts were injected in split mode on a gas chromatographic (GC) system, separated on a DB-WAX capillary column and detected by flame ionisation. The method allowed satisfactory quantification of 37 volatile compounds in brandies (alcohols, esters, acids, furanics, aldehydes and phenols) and 16 volatile compounds in aqueous-alcoholic oak extracts. Linear responses were obtained (0.99-1.00). The repeatability and the detection and quantification limits were also evaluated. The analysis of spiked samples showed that matrix effects do not affect the method performance for the majority of the volatile compounds analysed.     

X-ray crystallographic, FT-IR, and density functional theory studies of the salt formed between dipicrylamine and 1,5,7-triazabicyclo[4.4.0]dec-1-ene

The DPA-TBD (dipicrylamine-1,5,7-triazabicyclo[4.4.0]dec-1-ene) salt has been synthesized and characterized by FT-IR spectroscopy, X-ray single-crystal diffraction, and theoretical study. In the FT-IR spectrum of the crystalline DPA-TBD salt, an unexpected intense band at 1742 cm(-1) is present. The optimized geometry and the FT-IR spectra of the DPA salt were calculated at the B3LYP/6-31G+(d) level and give an explanation of the nature of this band as the ν(C═N═C) vibration. For comparison, the calculated IR spectra of the DPA anion, hydrogen-bonded DPA anion, and neutral DPA and TBD molecules as well as for the TBD cation are also shown. The presence of the free DPA anion in the gas phase was directly detected in the negative ion mode electrospray ionization MS spectra. The fragmentation of the DPA anion is also discussed.     

速率常数-秩分析法在化学反应过程分析中的应用

针对化学反应动力学谱-吸收光谱组成的两维数据,提出了以优化速率常数而消去反应物波谱信息为减秩手段的速率常数-秩分析法(RCRA).结果表明,RCRA在一次优化过程中可同时获得两个最优解,分别对应于两步速率常数.在获得动力学参数的前提下,利用最小二乘回归可解出包括中间体在内的各组分的吸收光谱.该方法用于处理苯胺电解降解的两维数据,发现苯胺降解过程中有一种表观中间体存在,降解过程符合一级连串反应模型.