Discrimination between virgin and recycled polystyrene containers by Fourier transform infrared spectroscopy and principal component analysis

A rapid and reliable method for discriminating virgin and recycled expanded polystyrene (EPS) containers was developed using Fourier transform infrared spectroscopy combined with principal component analysis. Standard normal variate, first and second‐order derivative spectra were compared for the discrimination results. The results show that carbonyl region (1780‐1620 cm^?1) spectra using first derivative transformation give the optimum classification results. In addition, the carbonyl compounds in EPS containers were detected to clarify the chemical difference between virgin and recycled containers, with a higher concentration of carbonyl compounds observed in recycled EPS containers. The combination of carbonyl region of Fourier transform infrared spectroscopy with chemometrics proved to be a promising method to discriminate virgin and recycled EPS containers, which could function as an additional tool for quality control of plastics.     

Multivariate analysis of attenuated total reflection-Fourier transform infrared spectroscopic data to confirm the origin of honeys

Fourier transform infrared (FT-IR) spectroscopy and chemometrics were used to verify the origin of honey samples (n=150) from Europe and South America. Authentic honey samples were collected from five sources, namely unfiltered samples from Mexico in 2004, commercially filtered samples from Ireland and Argentina in 2004, commercially filtered samples from the Czech Republic in 2005 and 2006, and commercially filtered samples from Hungary in 2006. Samples were diluted with distilled water to a standard solids content (70 degrees Brix) and their spectra (2500-12 500 nm) recorded at room temperature using an FT-IR spectrometer equipped with a germanium attenuated total reflection (ATR) accessory. First- and second-derivative and standard normal variate (SNV) data pretreatments were applied to the recorded spectra, which were analyzed using partial least squares (PLS) regression analysis, factorial discriminant analysis (FDA), and soft independent modeling of class analogy (SIMCA). In general, when an attenuated wavelength range (6800-11 500 nm) rather than the whole spectrum (2500-12 500 nm) was studied, higher correct classification rates were achieved. An overall correct classification of 93.3% was obtained for honeys by PLS discriminant analysis, while FDA techniques correctly classified 94.7% of honey samples. Correct classifications of up to 100% were achieved using SIMCA, but models describing some classes had very high false positive rates.     

Feasibility of laser-induced breakdown spectroscopy (LIBS) for classification of sea salts

We have investigated the feasibility of laser-induced breakdown spectroscopy (LIBS) as a fast, reliable classification tool for sea salts. For 11 kinds of sea salts, potassium (K), magnesium (Mg), calcium (Ca), and aluminum (Al), concentrations were measured by inductively coupled plasma-atomic emission spectroscopy (ICP-AES), and the LIBS spectra were recorded in the narrow wavelength region between 760 and 800 nm where K (I), Mg (I), Ca (II), Al (I), and cyanide (CN) band emissions are observed. The ICP-AES measurements revealed that the K, Mg, Ca, and Al concentrations varied significantly with the provenance of each salt. The relative intensities of the K (I), Mg (I), Ca (II), and Al (I) peaks observed in the LIBS spectra are consistent with the results using ICP-AES. The principal component analysis of the LIBS spectra provided the score plot with quite a high degree of clustering. This indicates that classification of sea salts by chemometric analysis of LIBS spectra is very promising. Classification models were developed by partial least squares discriminant analysis (PLS-DA) and evaluated. In addition, the Al (I) peaks enabled us to discriminate between different production methods of the salts.     

光固化EA体系中Eu(TTA)(AA)2Phen配合物的原位法合成及荧光性能

利用“原住法”合成技术，在EA(双酚A环氧丙烯酸酯树脂)中，合成了稀土荧光配合物Eu(TTA)(AA)2Phen(TTA：噻吩甲酰基三氟丙酮；AA：丙烯酸；Phen：邻菲咯啉)，利用红外光谱、紫外一可见光谱和荧光光谱对体系进行了表征。红外光谱的研究表明，配合物在EA体系中的特征吸收峰被基质树脂所掩盖，主要表现为基质树脂的特征吸收；紫外一可见光谱的研究表明，该体系在350nm附近出现配体TTA的强特征吸收，在低于300nm时，吸收峰被基质树脂掩盖；荧光光谱的研究表明，配合物在EA体系中能发出强的铕离子的特征荧光．并且低于铕质量分数为0．4％的范围内，荧光强度与稀土离子含量接近线性关系。     

Spectral characterization of eucalyptus wood

The main difficulties in wood and pulp analyses arise principally from their numerous components with different chemical structures. Therefore, the basic problem in a specific analytical procedure may be the selective separation of the main carbohydrate-derived components from lignin due to their chemical association and structural coexistence. The processing of the wood determines some structural modification in its components depending on the type of wood and the applied procedure. Fourier transform infrared (FT-IR) spectrometry and X-ray diffraction have been applied to analyze Eucalyptus g. wood chips and unbleached and chlorite-bleached pulp. The differences between samples have been established by examination of the spectra of the fractions obtained by successive extraction (acetone extractives, acetone free extractive samples, hemicelluloses, and lignins) by evaluating the derivative spectra, band deconvolution, etc. The energy and the hydrogen bonding distance have been evaluated. The relationship between spectral characteristics and sample composition has been established, as well as the variation of the degree of crystallinity after pulping and bleaching. The integral absorption and lignin/carbohydrate ratios calculated from FT-IR spectra of the IR bands assigned to different bending or stretching in lignin groups are stronger in the spectrum of eucalyptus chips than those from brown stock (BS) pulp spectra because of the smaller total amount of lignin in the latter. FT-IR spectra clearly show that after chlorite bleaching the structure of the wood components is partially modified or removed. Along with FT-IR data, the X-ray results confirmed the low content of lignin in the pulp samples by increasing the calculated values of the crystalline parameters. It was concluded that FT-IR spectroscopy can be used as a quick method to differentiate Eucalyptus globulus samples.     

臭氧处理对聚酯非织造布结构与性能的影响

采用臭氧对聚酯非织造布进行处理。经红外光谱(FT-IR)与表面过氧化物浓度分析表明,经臭氧处理后,聚酯非织造布表面引入了含氧极性基团(羰基、过氧化物)。随着臭氧处理时间的延长,羰基含量增加,过氧化物浓度增大。差示扫描量热(DSC)分析表明,所用的聚酯非织造布有两个熔融峰,应为聚对苯二甲酸丁二醇酯与聚对苯二甲酸乙二醇酯纤维混合物。经过臭氧处理以后,聚酯非织造布的两个熔融峰基本不变。当臭氧处理10min时,聚酯非织造布的结晶度增加,随着臭氧处理时间的延长,结晶度有所下降。经过臭氧处理后,聚酯非织造布的断裂强力和断裂伸长率下降。     

Improved methods for performing multivariate analysis and deriving background spectra in atmospheric open-path FT-IR monitoring

Open-path Fourier transform infrared spectrometry (OP/FT-IR) may improve the temporal and spatial resolution in air pollutant measurements compared to conventional sampling methods. However, a successful OP/FT-IR operation requires an experienced analyst to resolve chemical interference as well as to derive a suitable background spectrum. The present study aims at developing a systematic method of handling the OP/FT-IR derived spectra for the measurement of photochemical oxidants and volatile organic compounds (VOCs) in urban areas. A classical least-squares (CLS) method, the most frequently used regression method in OP/FT-IR, is modified to constrain all the analyzed chemical species concentrations within a physically reasonable range. This new CLS method, named constrained CLS, may save the effort of predetermining the chemical species to be analyzed. A new background spectrum generation method is also introduced to more efficiently handle chemical interferences. Finally, CLS is shown to be prone to propagating errors in the case that a few data points contain a significant amount of error. The LI-norm minimization method reduces this error propagation to considerably increase the stability compared to CLS. The presently developed analysis software based on these approaches is compared with the other conventional CLS method using an artificially made single-beam spectrum as well as a field single-beam spectrum.     

Forensic analysis of architectural finishes using fourier transform infrared and Raman spectroscopy, part I: the resin bases

The ability of Raman spectroscopy and Fourier transform infrared (FT-IR) microscopy to discriminate between resins used for the manufacture of architectural finishes was examined in a study of 39 samples taken from a commercial resin library. Both Raman and FT-IR were able to discriminate between different types of resin and both split the samples into several groups (six for FT-IR, six for Raman), each of which gave similar, but not identical, spectra. In addition, three resins gave unique Raman spectra (four in FT-IR). However, approximately half the library comprised samples that were sufficiently similar that they fell into a single large group, whether classified using FT-IR or Raman, although the remaining samples fell into much smaller groups. Further sub-division of the FT-IR groups was not possible because the experimental uncertainty was of similar magnitude to the within-group variation. In contrast, Raman spectroscopy was able to further discriminate between resins that fell within the same groups because the differences in the relative band intensities of the resins, although small, were larger than the experimental uncertainty.     

Pattern recognition assisted infrared library searching

Pattern recognition methods have been used to develop search prefilters for infrared (IR) library searching. A two-step procedure has been employed. First, the wavelet packet tree is used to decompose each spectrum into wavelet coefficients that represent both the high and low frequency components of the signal. Second, a genetic algorithm for pattern recognition analysis is used to identify wavelet coefficients characteristic of functional group. Even in challenging trials involving carboxylic acids, compounds that possess both carbonyl and hydroxyl functionalities can be readily differentiated from carboxylic acids. The proposed search prefilters allow for the use of more sophisticated and correspondingly more time-consuming algorithms in IR spectral library matching because the size of the library can be culled down for a specific match using information from the search prefilter about the presence or absence of specific functional groups in the unknown.     

Characterization of microorganisms using UV resonance Raman spectroscopy and chemometrics

The past decade has seen an increased interest in the application of several physicochemical analytical techniques for the rapid detection and identification of microorganisms. We report the development of UV resonance Raman (UVRR) spectroscopy for the reproducible acquisition of information rich Raman fingerprints from endospore-forming bacteria belonging to the genera Bacillus and Brevibacillus. UVRR was conducted at 244 nm, and spectra were collected in typically 60 s. Cluster analyses of these spectra showed that UVRR spectroscopy could be used to discriminate between these microorganisms to species level, and the clustering pattern from this phenotypic classification was highly congruent with phylogenetic trees constructed from 16S rDNA sequence analysis. Therefore, we conclude that UVRR spectroscopy when coupled with chemometrics constitutes a powerful approach to the characterization and speciation of microorganisms.     

Characterization and evaluation of tenoxicam coprecipitates

Tenoxicam is a nonsteroidal anti-inflammatory drug belonging to the oxicam group. The drug is slightly soluble in water. In a trial to increase its dissolution, different commonly used excipients were selected to prepare coprecipitates with tenoxicam. The coprecipitates were prepared using the solvent evaporation method, and the ratio used was 1:3 drug to additive. The prepared coprecipitates were subjected to a dissolution study, and they were characterized using infrared (IR) and differential scanning calorimetry (DSC) techniques. Dissolution profiles of most of the prepared coprecipitates demonstrated higher dissolution than pure tenoxicam. The characteristic peaks of tenoxicam in the IR spectrum disappeared in the spectra of all the prepared coprecipitates except those prepared with sodium chloride, for which the IR spectrum was identical to that of the pure drug. The characteristic peaks of tenoxicam disappeared in the DSC thermograms of the coprecipitates under study, indicating a change in structure from pure tenoxicam. Characterization of the coprecipitates by IR and DSC techniques revealed structural changes in the prepared coprecipitates from the plain drug, which may account for increased dissolution rates.     

Fractional bandwidth normalization for optical spectra with application to the solar blackbody spectrum

Optical spectra are typically normalized per unit wavelength or per unit photon energy, yielding two different expressions or curves. It is advantageous instead to normalize a spectrum to a constant fractional bandwidth, providing a unique expression independent of whether the bandwidth is in dimensions of wavelength or of photon energy. For the Sun, whereas a per-unit-wavelength spectrum peaks in the green and a per-unit-photon-energy spectrum peaks in the IR, when the proposed normalization is used, the output peaks in the red. This approach applies to any spectral source and provides curves of constant spectral resolving power, as produced by many spectrometers.     

Forensic analysis of architectural finishes using fourier transform infrared and Raman spectroscopy, part II: white paint

White household paints are commonly encountered as evidence in the forensic laboratory but they often cannot be readily distinguished by color alone so Fourier transform infrared (FT-IR) microscopy is used since it can sometimes discriminate between paints prepared with different organic resins. Here we report the first comparative study of FT-IR and Raman spectroscopy for forensic analysis of white paint. Both techniques allowed the 51 white paint samples in the study to be classified by inspection as either belonging to distinct groups or as unique samples. FT-IR gave five groups and four unique samples; Raman gave seven groups and six unique samples. The basis for this discrimination was the type of resin and/or inorganic pigments/extenders present. Although this allowed approximately half of the white paints to be distinguished by inspection, the other half were all based on a similar resin and did not contain the distinctive modifiers/pigments and extenders that allowed the other samples to be identified. The experimental uncertainty in the relative band intensities measured using FT-IR was similar to the variation within this large group, so no further discrimination was possible. However, the variation in the Raman spectra was larger than the uncertainty, which allowed the large group to be divided into three subgroups and four distinct spectra, based on relative band intensities. The combination of increased discrimination and higher sample throughput means that the Raman method is superior to FT-IR for samples of this type.     

Characterization and Evaluation of Tenoxicam Coprecipitates

Tenoxicam is a nonsteroidal anti-inflammatory drug belonging to the oxicam group. The drug is slightly soluble in water. In a trial to increase its dissolution, different commonly used excipients were selected to prepare coprecipitates with tenoxicam. The coprecipitates were prepared using the solvent evaporation method, and the ratio used was 1:3 drug to additive. The prepared coprecipitates were subjected to a dissolution study, and they were characterized using infrared (IR) and differential scanning calorimetry (DSC) techniques. Dissolution profiles of most of the prepared coprecipitates demonstrated higher dissolution than pure tenoxicam. The characteristic peaks of tenoxicam in the IR spectrum disappeared in the spectra of all the prepared coprecipitates except those prepared with sodium chloride, for which the IR spectrum was identical to that of the pure drug. The characteristic peaks of tenoxicam disappeared in the DSC thermograms of the coprecipitates under study, indicating a change in structure from pure tenoxicam. Characterization of the coprecipitates by IR and DSC techniques revealed structural changes in the prepared coprecipitates from the plain drug, which may account for increased dissolution rates.     

Iterative least-squares fit procedures for the identification of organic vapor mixtures by Fourier transform infrared spectrophotometry

Least-squares fitting (LSF) was applied to the qualitative analysis of IR spectra based on comparing standard reference spectra with the sample mixture spectrum. Identification of compounds in the sample was made by judging the fit level of the spectrum of each compound with the sample spectrum. An iterative procedure was developed to eliminate compounds with the worst fit levels in order to approach an optimal fit for the sample spectrum. The qualitative analysis results obtained from the optimal fit were further used for quantitative analysis.     

Infrared and Raman spectroscopy study of alkyl hydroxamic acid and alkyl hydroxamate isomers

The isomeric structures of alkyl hydroxamic acid, as well as its potassium salt, sodium salt, and an alcohol complex, have been characterized in the solid, liquid, and gaseous states by Fourier transform infrared (FT-IR) and FT-Raman spectroscopy. Raman spectroscopy provides insight into the long-standing debate over the isomeric composition of hydroxamates in the solid state and in an aqueous basic solution. IR and Raman results are not consistent with the enol isomer existing in the solid or liquid states of octyl or decyl hydroxamic acid, potassium hydroxamate, and sodium hydroxamate. The infrared and Raman spectra of these compounds provide clear and convincing evidence regarding their chemical structure, mainly from amide-type carbonyl, NH bending, and OH/NH stretching bands. Vibrational spectroscopy is sensitive to polar (FT-IR) and non-polar (FT-Raman) vibrations and the influence of ionic and hydrogen bonding on these vibrations, and these abilities are particularly useful for characterizing keto versus enol and trans versus cis conformations in alkyl hydroxamic acid and its salts. Evolved gas analysis (EGA) in a nitrogen gas environment of alkyl hydroxamic acid and its salts is also discussed. EGA data reveal that water is not incorporated into the solid-state crystal structure of alkyl hydroxamic acid or the potassium salt; however, the sodium salt form is found to have a stable hydrate conformer that is shown to affect the Z isomer (NH trans to carbonyl, OH cis to carbonyl) IR absorbance bands. EGA data also indicates results that could be of interest to bio-pharmaceutical applications involving nitric oxide donation.     

Qualitative analysis using Raman spectroscopy and chemometrics: a comprehensive model system for narcotics analysis

The rapid, on-site identification of illicit narcotics, such as cocaine, is hindered by the diverse nature of the samples, which can contain a large variety of materials in a wide concentration range. This sample variance has a very strong influence on the analytical methodologies that can be utilized and in general prevents the widespread use of quantitative analysis of illicit narcotics on a routine basis. Raman spectroscopy, coupled with chemometric methods, can be used for in situ qualitative and quantitative analysis of illicit narcotics; however, careful consideration must be given to dealing with the extensive variety of sample types. To assess the efficacy of combining Raman spectroscopy and chemometrics for the identification of a target analyte under real-world conditions, a large-scale model sample system (633 samples) using a target (acetaminophen) mixed with a wide variety of excipients was created. Materials that exhibit problematic factors such as fluorescence, variable Raman scattering intensities, and extensive peak overlap were included to challenge the efficacy of chemometric data preprocessing and classification methods. In contrast to spectral matching analyte identification approaches, we have taken a chemometric classification model-based approach to account for the wide variances in spectral data. The first derivative of the Raman spectra from the fingerprint region (750-1900 cm(-1)) yielded the best classifications. Using a robust segmented cross-validation method, correct classification rates of better than ～90% could be attained with regression-based classification, compared to ～35% for SIMCA. This study demonstrates that even with very high degrees of sample variance, as evidenced by dramatic changes in Raman spectra, it is possible to obtain reasonably reliable identification using a combination of Raman spectroscopy and chemometrics. The model sample set can now be used to validate more advanced chemometric or machine learning algorithms being developed for the identification of analytes such as illicit narcotics.     

Classification of the reflectance spectra of pine, spruce, and birch

Statistical pattern-recognition methods are applied to the classification of the reflectance spectra of growing trees (Scots pine, Norway spruce, and birch). We show by using large training sets that it is possible to develop classification filters that are able to discriminate the tree types with a very high probability. Our approach may offer a reference coordinate system for multispectral remote sensing of different levels of forest damage.     

Prediction of ethylene content in melt-state random and block polypropylene by near-infrared spectroscopy and chemometrics: influence of a change in sample temperature and its compensation method

This paper reports on the influence of a change in sample temperature, and a method for its compensation, for the prediction of ethylene (C2) content in melt-state random polypropylene (RPP) and block polypropylene (BPP) by near-infrared (NIR) spectroscopy and chemometrics. Near-infrared (NIR) spectra of RPP in the melt and solid states were measured by a Fourier transform near-infrared (FT-NIR) on-line monitoring system and an FT-NIR laboratory system. There are some significant differences between the solid and melt-state RPP spectra. Moreover, we investigated the predicted values of the C2 content from the RPP or BPP spectra measured at 190 degrees C and 250 degrees C using the calibration model for the C2 content developed using the RPP or BPP spectra measured at 230 degrees C. The errors in the predicted values of the C2 content depend on the pretreatment methods for each calibration model. It was found that multiplicative signal correction (MSC) is very effective in compensating for the influence of the change of temperature for the RPP or BPP samples on the predicted C2 content. From the suggestion of principal component analysis (PCA) and difference spectrum analysis, we propose a new compensation method for the temperature change that uses the difference spectra between two spectra sets measured at different temperatures. We achieved good results using the difference spectra between the RPP/BPP spectra sets measured at 190 degrees C and 250 degrees C after correction and the calibration model developed with the spectra measured at 230 degrees C. The comparison between the method using MSC and the proposed method showed that the predicted error in the latter is slightly better than those in the former.     

Determination of acid number and base number in lubricants by Fourier transform infrared spectroscopy

This paper describes the development of practical Fourier transform infrared (FT-IR) methods for the determination of acid number (AN) and base number (BN) in lubricants through the combined use of signal transduction via stoichiometric reactions and differential spectroscopy to circumvent matrix effects. Trifluoroacetic acid and potassium phthalimide were used as stoichiometric reactants to provide infrared (IR) signals proportional to the basic and acidic constituents present in oils. Samples were initially diluted with 1-propanol, then split, with one half treated with the stoichiometric reactant and the other half with a blank reagent, their spectra collected, and a differential spectrum obtained to ratio out the invariant spectral contributions from the sample. Quantitation for AN and BN was based on measurement of the peak height of the v(C = O) or v(COO) absorptions, respectively, of the products of the corresponding stoichiometric reactions, yielding a standard error of calibration of < 0.1 mg KOH/g oil. The AN/BN FT-IR methods were validated by the analysis of a wide range of new and used oils supplied by third parties, which had been analyzed by ASTM methods. Good correlations were obtained between the chemical and FT-IR methods, indicating that the measures are on the whole comparable. From a practical perspective, these new FT-IR methods have significant advantages over ASTM titrimetric methods in terms of environmental considerations, sample size, and speed of analysis, as well as the variety of oil types that can be handled. FT-IR analysis combining stoichiometric signal transduction with differential spectroscopy may be of wider utility as an alternative to titration in the determination of acid or basic constituents in complex nonaqueous systems.