scholarly journals Classification of Five Kinds of Moss Plants with the Use of Fourier Transform Infrared Spectroscopy and Chemometrics

2011 ◽  
Vol 25 (6) ◽  
pp. 271-285 ◽  
Author(s):  
Tao Hu ◽  
Wen-Ying Jin ◽  
Cun-Gui Cheng
Keyword(s):  
Cluster Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ir Spectroscopy ◽  
Ir Spectra ◽  
Fourier Transform Infrared Spectroscopy ◽  
Moss Species ◽  
Ft Ir ◽  
And Cluster Analysis ◽  
Ft Ir Spectroscopy

Fourier transform infrared spectroscopy (FT-IR) with Horizontal Attenuated Total Reflectance (HATR) techniques is used to obtain the FT-IR spectra of five kinds of mosses, such asPtychomitrium dentatum(Mitt.) Jaeg.,Ptychomitrium polyphylloides(C. Muell.) Par.,Ptychomitrium sinense(Mitt.) Jaeg.,Macromitrium syntrichophyllumTher. Etp. Vard., andMacromitrium ferrieiCard. Sz Ther. Based on the comparison of the above mosses in the FT-IR spectra, the region ranging from 4000 to 650 cm−1was selected as the characteristic spectra for analysis. Principal component analysis (PCA) and cluster analysis are considered to identify the five moss species. Because they belong to the homogeneous plants, and have similar chemical components and close FT-IR spectroscopy, PCA and cluster analysis can only give a rough result of classification among the five moss species, Fourier self-deconvolution (FSD) and discrete wavelet transform (DWT) methods are used to enhance the differences between them. We use these methods for further study. Results show that it is an excellent method to use FT-IR spectroscopy combined with FSD and DWT to classify the different species in the same family. FT-IR spectroscopy combined with chemometrics, such as FSD and DWT, can be used as an effective tool in systematic research of bryophytes.

Determination of ß-Carotene and Lutein in Green Tea Using Fourier Transform Infrared Spectroscopy

2019 ◽  
Vol 62 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Yong He ◽  
Yong He ◽  
Yiying Zhao ◽  
Chu Zhang ◽  
Chanjun Sun ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ir Spectroscopy ◽  
Least Squares ◽  
Fourier Transform Infrared Spectroscopy ◽  
Green Tea ◽  
Fourier Transform Infrared ◽  
Support Vector ◽  
Ft Ir ◽  
Ft Ir Spectroscopy

Abstract. The feasibility of using Fourier transform infrared (FT-IR) spectroscopy combined with chemometrics to determine the ß-carotene and lutein contents in green tea was investigated in this study. The relationship between pigment contents and spectral responses was explored by partial least squares (PLS), least squares support vector machine (LS-SVM), and extreme learning machine (ELM) methods. Next, 30 and 29 effective wavenumbers (EWs) for ß-carotene and lutein, respectively, were selected according to the weighted regression coefficients of the PLS regression models, and simplified determinant models were built on the extracted EWs. The ELM models based on the EWs obtained the best results, with correlation coefficients of calibration (rc) and prediction (rp), and residual prediction deviation (RPD) of 0.977, 0.946, and 2.84, respectively, for ß-carotene and 0.975, 0.937, and 2.88, respectively, for lutein. The overall results indicate that FT-IR spectroscopy combined with chemometrics could be a rapid and accurate alternative method for determining carotenoid pigments in green tea. Keywords: ß-carotene, Chemometrics, Fourier transform infrared spectroscopy, Green tea, Lutein.

scholarly journals Discrimination of Enterobacterial Repetitive Intergenic Consensus PCR Types of Campylobacter coli and Campylobacter jejuni by Fourier Transform Infrared Spectroscopy

2005 ◽  
Vol 71 (8) ◽  
pp. 4318-4324 ◽  
Author(s):  
D. J. M. Mouwen ◽  
M. J. B. M. Weijtens ◽  
R. Capita ◽  
C. Alonso-Calleja ◽  
M. Prieto
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Discriminant Analysis ◽  
Ir Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Campylobacter Jejuni ◽  
Campylobacter Coli ◽  
Enterobacterial Repetitive Intergenic Consensus ◽  
Ft Ir ◽  
Ft Ir Spectroscopy

ABSTRACT Fourier transform infrared spectroscopy (FT-IR) has been used together with pattern recognition methodology to study isolates belonging to the species Campylobacter coli and Campylobacter jejuni and to compare FT-IR typing schemes with established genomic profiles based on enterobacterial repetitive intergenic consensus PCR (ERIC-PCR). Seventeen isolates were cultivated under standardized conditions for 2, 3, and 4 days to study variability and improve reproducibility. ERIC-PCR profiles and FT-IR spectra were obtained from strains belonging to the species Campylobacter coli and C. jejuni, normalized, and explored by hierarchical clustering and stepwise discriminant analysis. Strains could be differentiated by using mainly the first-derivative FT-IR spectral range, 1,200 to 900 cm−1 (described as the carbohydrate region). The reproducibility index varied depending on the ages of the cultures and on the spectral ranges investigated. Classification obtained by FT-IR spectroscopy provided valuable taxonomic information and was mostly in agreement with data from the genotypic method, ERIC-PCR. The classification functions obtained from the discriminant analysis allowed the identification of 98.72% of isolates from the validation set. FT-IR can serve as a valuable tool in the classification, identification, and typing of thermophilic Campylobacter isolates, and a number of types can be differentiated by means of FT-IR spectroscopy.

Fourier Transform Infrared Spectroscopy (FT-IR) in Archaeological Ceramic Analysis

2016 ◽  
pp. 508-530
Author(s):  
Shlomo Shoval
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Mineralogical Composition ◽  
Fourier Transform Infrared ◽  
Ceramic Analysis ◽  
Archaeological Ceramic ◽  
Ft Ir ◽  
Non Destructive ◽  
Ft Ir Spectroscopy

The chapter reviews the use of Fourier Transform Infrared Spectroscopy (FT-IR) in study of ancient pottery and its applications to archaeology. FT-IR is a powerful technique for assessing the mineralogical composition of ancient ceramics and is, almost, non-destructive for the pottery. This method can be applied in analyses of the composition of the bulk ceramic as well as of particular pottery attributes, such as separated pastes, temper particles, binders, glazes, slips, paints, and pigments. FT-IR spectroscopy has the advantage of being able to detect both, the crystalline minerals as well as the pseudo-amorphous fired-clay in the ceramic fabric. The assessing of the mineralogical composition of the ceramics can be used in their classification, sourcing, and estimation of firing temperature. Applying spectral analysis by second-derivative and curve-fitting techniques is adding a quantitative dimension to the mineralogical analysis.

scholarly journals Efficient Discrimination of Some Moss Species by Fourier Transform Infrared Spectroscopy and Chemometrics

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Zhen Cao ◽  
Yongying Liu ◽  
Jiancheng Zhao
Keyword(s):  
Cluster Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Ftir Spectra ◽  
Chemical Components ◽  
Discrete Wavelet ◽  
Moss Species

Fourier transform infrared spectroscopy (FTIR) technique was used to classify 16 species from three moss families (Mielichhoferiaceae, Bryaceae, and Mniaceae). The FTIR spectra ranging from 4000 cm−1to 400 cm−1of the 16 species were obtained. To group the spectra according to their spectral similarity in a dendrogram, cluster analysis and principal component analysis (PCA) were performed. Cluster analysis combined with PCA was used to give a rough result of classification among the moss samples. However, some species belonging to the same genus exhibited very similar chemical components and similar FTIR spectra. Fourier self-deconvolution (FSD) was used to enhance the differences of the spectra. Discrete wavelet transform (DWT) was used to decompose the FTIR spectra ofMnium laevinerveandM. spinosum. Three scales were selected as the feature extracting space in the DWT domain. Results showed that FTIR spectroscopy combined with DWT was suitable for distinguishing different species of the same genus.

Detection and quantification of food colorant adulteration in saffron sample using chemometric analysis of FT-IR spectra

RSC Advances ◽  
2016 ◽  
Vol 6 (27) ◽  
pp. 23085-23093 ◽  
Author(s):  
Sadegh Karimi ◽  
Javad Feizy ◽  
Fatemeh Mehrjo ◽  
Maryam Farrokhnia
Keyword(s):  
Pattern Recognition ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ir Spectra ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Chemometric Analysis ◽  
Food Colorants ◽  
Ft Ir ◽  
Detection And Quantification

The aim of present study is to investigate the combination of Fourier transform infrared spectroscopy with pattern recognition to recognize the standard saffron from those which have been adulterated with various types of food colorants.

Discriminant Analysis and Cluster Analysis of Biodiesel Fuel Blends Based on Fourier Transform Infrared Spectroscopy (FTIR)

2016 ◽  
Vol 30 (6) ◽  
pp. 4905-4915 ◽  
Author(s):  
Victor Hugo J. M. dos Santos ◽  
Eduardo Do Canto Bruzza ◽  
Jeane E. de Lima ◽  
Rogerio V. Lourega ◽  
Luiz F. Rodrigues
Keyword(s):  
Cluster Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Discriminant Analysis ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Biodiesel Fuel ◽  
Fuel Blends ◽  
And Cluster Analysis

The Nature of Cation–Anion Interactions in Magnetic Ionic Liquids as Revealed Using High-Pressure Fourier Transform Infrared (FT-IR) Spectroscopy

2019 ◽  
Vol 73 (5) ◽  
pp. 511-519 ◽  
Author(s):  
Christopher M. Burba ◽  
Hai-Chou Chang
Keyword(s):  
High Pressure ◽  
Fourier Transform ◽  
Ionic Liquids ◽  
Ir Spectroscopy ◽  
Ir Spectra ◽  
Ambient Pressure ◽  
Vibrational Modes ◽  
Magnetic Ionic Liquids ◽  
Ft Ir ◽  
Ft Ir Spectroscopy

Magnetic ionic liquids are a group of magneto-responsive compounds that typically possess high ionic conductivities and low vapor pressures. In spite of the general interest in these materials, a number of questions concerning the fundamental interactions among the ions remain unanswered. We used vibrational spectroscopy to gain insight into the nature of these interactions. Intramolecular vibrational modes of the ions are quite sensitive to their local potential energy environments, which are ultimately defined by cation–anion coordination schemes present among the ions. Ambient pressure Fourier transform infrared (FT-IR) spectroscopy indicates comparable interaction motifs for 1-ethyl-3-methylimidazolium tetrachloroferrate(III), [emim]FeCl4, and 1-ethyl-3-methylimidazolium tetrabromoferrate(III), [emim]FeBr4, magnetic ionic liquids. However, the vibrational modes of [emim]FeCl4 generally occur at slightly higher frequencies than those of [emim]FeBr4. These differences reflect different interaction strengths between the [emim]+ cations and [Formula: see text] or [Formula: see text] anions. This conclusion is supported by gas-phase ab initio calculations of single [emim]FeCl4 and [emim]FeBr4 ion pairs that show longer C–H···Br–Fe interaction lengths compared to C–H···Cl–Fe. Although the IR spectra of [emim]FeCl4 and [emim]FeBr4 are comparable at ambient pressure, a different series of spectroscopic changes transpire when pressure is applied to these compounds. This suggests [emim]+ cations experience different types of interaction with the anions under high-pressure conditions. The pressure-dependent FT-IR spectra highlights the critical role ligands attached to the tetrahalogenoferrate(III) anions play in modulating cation–anion interactions in magnetic ionic liquids.

scholarly journals Study of chronic lymphocytic leukemia cells by FT-IR spectroscopy and cluster analysis

1996 ◽  
Vol 20 (8) ◽  
pp. 649-655 ◽  
Author(s):  
Christian P. Schultz ◽  
Kan-zhi Liu ◽  
James B. Johnston ◽  
Henry H. Mantsch
Keyword(s):  
Cluster Analysis ◽  
Chronic Lymphocytic Leukemia ◽  
Ir Spectroscopy ◽  
Lymphocytic Leukemia ◽  
Leukemia Cells ◽  
Ft Ir ◽  
And Cluster Analysis ◽  
Ft Ir Spectroscopy

Characterization of NO2 Bound to the Plant Cuticle by FT-IR Spectroscopy

1993 ◽  
Vol 48 (7-8) ◽  
pp. 666-668 ◽  
Author(s):  
Patricia Luque ◽  
Antonio Heredia ◽  
Francisco J. Ramírez ◽  
Martin J. Bukovac
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ir Spectroscopy ◽  
Nitrogen Oxide ◽  
Tomato Fruit ◽  
Infrared Analysis ◽  
Plant Cuticle ◽  
Ft Ir ◽  
Ft Ir Spectroscopy

Nitrogen oxide binding to isolated tomato fruit cuticles has been characterized using Fourier transform infrared spectroscopy. The performed infrared analysis indicates that nitration occurs in the flavonoids of mature tomato cuticles.

Determination of Triglycerides on Cotton Fabrics Using Fourier Transform Attenuated Total Reflection Infrared Spectroscopy

1985 ◽  
Vol 39 (6) ◽  
pp. 1047-1050 ◽  
Author(s):  
R. S. Shreedhara Murthy ◽  
D. E. Leyden ◽  
J. Keith Grime
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ir Spectroscopy ◽  
Cotton Fabric ◽  
Cotton Fabrics ◽  
Total Reflection ◽  
Attenuated Total Reflection ◽  
Ft Ir ◽  
Ft Ir Spectroscopy

Triglycerides deposited on cotton fabric in the form of artificial body soil (ABS) were quantified with the use of ATR/FT-IR spectroscopy after ABS had been transferred onto the ATR crystal under pressure. This approach improved the signal-to-background ratio by avoiding interference from cellulose absorption, and improved precision as contact of the cloth sample with the ATR crystal was not necessary. ABS concentrations comparable to natural body soil levels were determined. This procedure was shown to be useful for following the depletion of “surface” ABS after different washing procedures.

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