Relationship between attenuated total reflectance Fourier transform infrared spectroscopy of western juniper and natural resistance to fungal and termite attack

Holzforschung ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 246-259
Author(s):  
Shahlinney Lipeh ◽  
Laurence R. Schimleck ◽  
Mark E. Mankowski ◽  
Armando G. McDonald ◽  
Jeffrey J. Morrell
Keyword(s):  
Fourier Transform ◽  
Rapid Determination ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Reticulitermes Flavipes ◽  
Natural Resistance ◽  
Attenuated Total Reflectance ◽  
Extractive Content ◽  
Total Reflectance ◽  
Western Juniper

AbstractWood extractives are considered the major factor determining the natural durability of wood. Attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy was assessed for rapid determination of western juniper (Juniperus occidentalis Hook. var. occidentalis) durability based on extractives in heartwood, sapwood-heartwood and sapwood regions. Durability was assessed by exposing samples to brown-rot decay fungi [Gloeophyllum trabeum (Pers.) Murrill and Rhodonia placenta (Fr.) Niemelä, K.H. Larss. & Schigel] or eastern subterranean termite (Reticulitermes flavipes Kollar). Durability classifications were compared to their extractive contents, along with ATR-FTIR spectra of extracted and unextracted blocks to establish relationships using hierarchical cluster analysis (HCA) and principal component analysis (PCA). Western juniper durability varied with test organisms, but the majority of samples had high fungal and termite resistance. Moderate to weak connections were observed between durability and extractive content, but HCA and PCA analysis were unable to classify durability with accuracy. The absence of non-resistant samples may have influenced the ability of the chemometric methods to accurately categorize durability.

scholarly journals Use of Attenuated Total Reflectance—Fourier Transform Infrared (ATR-FTIR) Spectroscopy in Combination with Multivariate Methods for the Rapid Determination of the Adulteration of Grape, Carob and Mulberry Pekmez

Foods ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 231 ◽  
Author(s):  
Nihal Yaman ◽  
Serap Durakli Velioglu
Keyword(s):  
Fourier Transform ◽  
Ftir Spectroscopy ◽  
Rapid Determination ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Chemometric Methods ◽  
Total Reflectance ◽  
Glucose Syrup ◽  
Model Efficiency

Pekmez, a traditional Turkish food generally produced by concentration of fruit juices, is subjected to fraudulent activities like many other foodstuffs. This study reports the use of Fourier transform infrared spectroscopy (FTIR) in combination with chemometric methods for the detection of fraudulent addition of glucose syrup to traditional grape, carob and mulberry pekmez. FTIR spectra of samples were taken in mid-infrared (MIR) range of 400–4000 cm−1 using attenuated total reflectance (ATR) sample accessory. Partial least squares-discriminant analysis (PLS-DA) and PLS chemometric methods were built for qualitative and quantitative analysis of pekmez samples, respectively. PLS-DA models were successfully used for the discrimination of pure pekmez samples and the adulterated pekmez samples with glucose syrup. Sensitivity and specificity of 100%, and model efficiency of 100% were obtained in PLS-DA models for all pekmez groups. Detection of the adulteration ratio of pekmez samples was also accomplished using ATR-FTIR spectroscopy in combination with PLS. As a result, it was shown that ATR-FTIR spectroscopy along with chemometric methods had a great potential for determination of pekmez adulteration with glucose syrup.

scholarly journals Rapid determination of fecal fat by Fourier transform infrared analysis (FTIR) with partial least-squares regression and an attenuated total reflectance accessory

1996 ◽  
Vol 42 (12) ◽  
pp. 2015-2020 ◽  
Author(s):  
P Franck ◽  
J L Sallerin ◽  
H Schroeder ◽  
M A Gelot ◽  
P Nabet
Keyword(s):  
Fourier Transform ◽  
Least Squares ◽  
Partial Least Squares ◽  
Rapid Determination ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Infrared Spectrometry ◽  
Infrared Analysis ◽  
Least Squares Regression ◽  
Total Reflectance

Abstract Fecal lipid content is usually determined by titrimetric or gravimetric methods, but these methods are time consuming and involve dangerous solvents. We have developed a new method of measuring fecal lipids by Fourier transform infrared spectrometry (FTIR) with an attenuated total reflectance accessory that is fast and requires no solvents. The spectra of stools from 4000 to 750 cm-1 were analyzed, and the lipid concentrations were measured by using a calibration curve prepared by partial least-squares analysis of data from 34 stools. The linearity of the method was tested by mixing low-lipid stools with lipid-overloaded stools to give a range of 0.5-15% lipid. The prediction residual values were -0.49-0.78% for calibrators, and -2.55-2.34% for unknown samples. There was good agreement between the fecal lipids measured by gravimetric (x) and FTIR(y) methods: y = 0.87x + 5.5. The standard error of prediction was 1.07%.

scholarly journals Authenticity Determination of Greek-Cretan Mono-Varietal White and Red Wines Based on their Phenolic Content Using Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Chemometrics

2016 ◽  
Vol 4 (Special-Issue-October) ◽  
pp. 54-62 ◽  
Author(s):  
Marianthi Basalekou ◽  
Argiro Stratidaki ◽  
Christos Pappas ◽  
Petros Tarantilis ◽  
Yorgos Kotseridis ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Phenolic Content ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Critical Issue ◽  
Attenuated Total Reflectance ◽  
Fast Method ◽  
Total Reflectance ◽  
Ft Ir ◽  
Grape Varieties

The assessment of wine authenticity is a critical issue that has gained a lot of interest internationally. A simple and fast method was developed for the varietal classification of Greek wines according to grape cultivar using attenuated total reflectance (ATR) Fourier transform infrared (FT-IR) spectroscopy. The phenolic content and color parameters of wine samples (n=88) made by two white (Vilana and Dafni) and two red (Kotsifali and Mandilari) grape varieties were measured and their FT-IR spectra were recorded. Principal Component Analysis (PCA) of their chemical parameters indicated that the wines can be discriminated based on their different phenolic content. The spectroscopic analysis combined with discriminant analysis of the fingerprint region of the spectra (1800-900 cm-1) resulted in complete discrimination of the grape varieties. The proposed method in comparison with the rest analytical methods is simpler, less time consuming, more economical and requires reduced quantities of chemical reagents prior to analysis.

scholarly journals Algerian Bee Pollen Classification by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Analysis

2020 ◽  
Author(s):  
Abdelkrim Rebiai
Keyword(s):  
Fourier Transform ◽  
Geographical Location ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Ftir Spectra ◽  
Attenuated Total Reflectance ◽  
Spectra Analysis ◽  
Reliable Determination ◽  
Total Reflectance ◽  
Bee Pollen

<p>Bee pollen is prepared themselves by pollens collecting from plants and has nutritive and therapeutic properties that make it attractive for human health. It has a typical composition related to the botanical origin and geographical location. This study aims to distinguish and identify bee pollen belonging to different Algerian regions and different plants. A methodology for the identification of pollen was developed based on Attenuated Total Reflectance Fourier transform infrared (ATR-FTIR) spectroscopy. This method is simple and fast where samples are not destroyed, also unsupervised statistical methods principal component analysis (PCA) and hierarchical clustering analysis (HCA) are performed. Seventy-two pollen samples were collected and the ATR-FTIR spectra were recorded without processing the samples. ATR-FTIR spectra analysis allowed a reliable determination of the components present in the different samples. Further, PCA and HCA were utilized to evaluate the differences and similarities between the collected samples. Indeed, the PCA score plot and HCA based on ATR-FTIR revealed the same discriminatory trend, where the samples were divided into three main classes based on their total bee pollen. As a result, the PCA along with the HCA was a good and consistent model for identifying and distinguishing pollen grains.</p>

scholarly journals Algerian Bee Pollen Classification by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Analysis

2020 ◽  
Author(s):  
Abdelkrim Rebiai
Keyword(s):  
Fourier Transform ◽  
Geographical Location ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Ftir Spectra ◽  
Attenuated Total Reflectance ◽  
Spectra Analysis ◽  
Reliable Determination ◽  
Total Reflectance ◽  
Bee Pollen

<p>Bee pollen is prepared themselves by pollens collecting from plants and has nutritive and therapeutic properties that make it attractive for human health. It has a typical composition related to the botanical origin and geographical location. This study aims to distinguish and identify bee pollen belonging to different Algerian regions and different plants. A methodology for the identification of pollen was developed based on Attenuated Total Reflectance Fourier transform infrared (ATR-FTIR) spectroscopy. This method is simple and fast where samples are not destroyed, also unsupervised statistical methods principal component analysis (PCA) and hierarchical clustering analysis (HCA) are performed. Seventy-two pollen samples were collected and the ATR-FTIR spectra were recorded without processing the samples. ATR-FTIR spectra analysis allowed a reliable determination of the components present in the different samples. Further, PCA and HCA were utilized to evaluate the differences and similarities between the collected samples. Indeed, the PCA score plot and HCA based on ATR-FTIR revealed the same discriminatory trend, where the samples were divided into three main classes based on their total bee pollen. As a result, the PCA along with the HCA was a good and consistent model for identifying and distinguishing pollen grains.</p>

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