The Utilization of Ftir (Fourier Transform Infra-Red) Method Combined with Chemometrics For Authentication of Indonesian Coffee Powder

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Firmansyah A. ◽  
Winingsih W. ◽  
Soebara Y S
Keyword(s):  
Fourier Transform ◽  
Natural Product ◽  
High Performance ◽  
Principal Component ◽  
Raw Material ◽  
Attenuated Total Reflectance ◽  
Coffee Bean ◽  
Product Analysis ◽  
Total Reflectance ◽  
And Cluster Analysis

Analysis of natural product remain challenging issues for analytical chemist, since natural products are complicated system of mixture. The most popular methods of choice used for quality control of raw material and finished product are high performance liquid chromatography (HPLC), gas chromatography (GC) and mass spectrometry (MS). The utilization of FTIR-ATR (Fourier Transform Infrared-Attenuated Total Reflectance) method in natural product analysis is still limited. This study attempts to expand the use of FTIR spectroscopy in authenticating Indonesian coffee powder.The coffee samples studied were taken from nine regions in Indonesia, namely Aceh Gayo, Flores, Kintamani, Mandheling, Papua, Sidikalang, Toraja, Kerinci and Lampung.The samples in the form of coffee bean from various regions were powdered . The next step conducted was to determine the spectrum using the FTIR-ATR (Attenuated Total Reflectance) using ZnSe crystal of 8000 resolution. Spectrum samples, then, were analyzed using chemometrics. The utilized chemometric model was the principal component analysis (PCA) and cluster analysis (CA). Based on the chemometric analysis, there are similarities between Aceh Gayo coffee with Toraja coffee, Mandailing coffee, Kintamani coffee and Flores coffee. Sidikalang coffee has a similarity to Flores coffee; Papua coffee has a similarity to Sidikalang coffee; Lampung coffee has a similarity to Sidikalang coffee, while Kerinci coffee has a similarity to Papua coffee.

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>

Attenuated total reflectance/Fourier transform infrared (ATR/FTIR) mapping coupled with principal component analysis for the study of in vitro degradation of porous polylactide/hydroxyapatite composite material

2014 ◽  
Vol 6 (15) ◽  
pp. 5590-5595 ◽  
Author(s):  
Nan Jing ◽  
Xiaoting Jiang ◽  
Qian Wang ◽  
Yongjiao Tang ◽  
Pudun Zhang
Keyword(s):  
Principal Component Analysis ◽  
Composite Material ◽  
Fourier Transform ◽  
Principal Component ◽  
Component Analysis ◽  
Attenuated Total Reflectance ◽  
In Vitro Degradation ◽  
Total Reflectance ◽  
Hydroxyapatite Composite

We proposes coupling ATR/FTIR mapping with principal component analysis for the biomimetic degradation of poly(l-lactide)/hydroxyapatite composite material.

Characterization of Historic Silk by Polarized Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy for Informed Conservation

2005 ◽  
Vol 59 (10) ◽  
pp. 1242-1247 ◽  
Author(s):  
Paul Garside ◽  
Sophia Lahlil ◽  
Paul Wyeth
Keyword(s):  
Fourier Transform ◽  
High Performance ◽  
Breaking Strength ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Full Spectrum ◽  
Total Reflectance ◽  
Silk Fabrics ◽  
Atr Spectroscopy ◽  
Historic Silk

When assessing historic textiles and considering appropriate conservation, display, and storage strategies, characterizing the physical condition of the textiles is essential. Our work has concentrated on developing nondestructive or micro-destructive methodologies that will permit this. Previously, we have demonstrated a correlation between the physical deterioration of unweighted and “pink” tin (IV) chloride weighted silk and certain measurable spectroscopic and chromatographic signatures, derived from polarized Fourier transform infrared attenuated total reflectance (FTIR-ATR) spectroscopy (Pol-ATR) and high-performance liquid chromatography (HPLC) microsampling analyses. The application of the Pol-ATR technique to aged silk characterization has now been extended to include a more comprehensive range of weighting methods and aging regimes. This was intended to replicate the full spectrum of states of deterioration observed in silk textiles, from pristine to heavily degraded. Breaking strength was employed as a measure of the physical integrity of the fibers, and, as expected, decreased with aging. An orientational crystallinity parameter, reflecting the microstructural ordering of the fibroin polymer within the fibers, was derived from the Pol-ATR spectra. A good correlation was observed between the breaking strength of the variety of fibers and this parameter. This suggests that the physical state of historic silk fabrics might be adequately characterized for conservation purposes by such indirect micromethodology.

scholarly journals Use of Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy To Identify Microbial Metabolic Products on Carbonate Mineral Surfaces

2008 ◽  
Vol 74 (14) ◽  
pp. 4553-4559 ◽  
Author(s):  
Heather A. Bullen ◽  
Stuart A. Oehrle ◽  
Ariel F. Bennett ◽  
Nicholas M. Taylor ◽  
Hazel A. Barton
Keyword(s):  
Fourier Transform ◽  
Ftir Spectroscopy ◽  
High Performance ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Carbonate Mineral ◽  
Mineral Surfaces ◽  
Total Reflectance ◽  
E Coli ◽  
Metabolic Products

ABSTRACT This paper demonstrates the use of attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to detect microbial metabolic products on carbonate mineral surfaces. By creating an ATR-FTIR spectral database for specific organic acids using ATR-FTIR spectroscopy we were able to distinguish metabolic acids on calcite surfaces following Escherichia coli growth. The production of these acids by E. coli was verified using high-performance liquid chromatography with refractive index detection. The development of this technique has allowed us to identify microbial metabolic products on carbonate surfaces in nutrient-limited cave environments.

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 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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