scholarly journals Chemometrical analysis of Fourier Transform Infrared Spectrum profile of Indonesia’s black tea products (Camellia sinensis L.)

2019 ◽  
Vol 10 (1) ◽  
pp. 4721-4727
Keyword(s):  
Principal Component Analysis ◽  
Fourier Transform ◽  
Volatile Compounds ◽  
Camellia Sinensis ◽  
Principal Component ◽  
Ethanol Extract ◽  
Fourier Transform Infrared ◽  
Black Tea ◽  
Tea Quality ◽  
And Cluster Analysis

Black tea (Camellia sinensis L.) is one of the most popular beverage ingredients in Indonesia. Generally, tea quality assessment is done by tea taster using the organoleptic method with evaluation based on shape, color, aroma, and taste. In this research, an alternative method of testing black tea product quality with FTIR (Fourier Transform Infrared) was developed. The variability of chemical composition is an important factor that determines flavor (taste and aroma) and health benefits. The sample of black tea tested came from 12 products circulating in Indonesia. A chemometric analysis of Principal Component Analysis and Cluster Analysis was used to support the analysis of specific differences of each FTIR spectra of samples. The analysis results of water and ethanol extract showed that the two solvents extracted the different of the variety of metabolite contents. Analysis of volatile compounds was also performed which also showed that each sample contained the different volatile compounds; which then is predicted can be investigated further to determine the black tea’s quality.

Chemometric Approach to a Rapid Attenuated Total Reflection Fourier Transform Infrared Analysis of Complex Heroin-Based Mixtures

2020 ◽  
pp. 000370282096971
Author(s):  
Nataša Radosavljević Stevanović ◽  
Milena Jovanović ◽  
Federico Marini ◽  
Slavica Ražić
Keyword(s):  
Principal Component Analysis ◽  
Fourier Transform ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Total Reflection ◽  
Attenuated Total Reflection ◽  
Illegal Market ◽  
Ft Ir

Heroin is one of the most frequently seized drugs in Southeastern Europe. Due to the position in the Balkan route, the Republic of Serbia keeps important role in suppression of the trafficking of heroin for domestic and foreign illegal market. This research is aimed to provide a good scientific approach in the field of seized heroin analysis. Two different forms of heroin are present in the illegal market, mostly in mixtures with typical “cutting” agents: caffeine, paracetamol, and sugars. It was observed that the quantity of pure heroin in seized samples slightly increases from year to year. The aim of this study was to produce a reliable and fast procedure for classification of illicit heroin samples and determination of the concentration range of heroin in the samples. For that purpose, the attenuated total reflection Fourier transform infrared spectroscopy (ATR FT-IR) technique was used and combined with such chemometric methods as principal component analysis, cluster analysis, and partial least squares. Principal component analysis (PCA) as an unsupervised model was used for exploratory purposes to identify trends, similarities, and differences between samples by reducing the dimensionality of the data. The cluster classification of examined samples turned out to be extremely useful to evaluate the possibilities of the ATR FT-IR technique to classify the samples appropriately into the patterns, the constituted clusters. Additionally, partial least square was the suitable method for the purpose of determination of the heroin hydrochloride concentration range in examined samples. It is proved that the joined application of spectroscopy and chemometrics can be extremely convenient and useful for forensic and drugs control laboratories.

scholarly journals Detection of Lard in Ink Extracted from Printed Food Packaging Using Fourier Transform Infrared Spectroscopy and Multivariate Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Syazwani Ramli ◽  
Rosnita A. Talib ◽  
Russly A. Rahman ◽  
Norhazlin Zainuddin ◽  
Siti Hajar Othman ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ftir Spectroscopy ◽  
Food Packaging ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Calibration Standards ◽  
Number Of Factors

Fourier transform infrared (FTIR) spectroscopy combined with chemometrics was utilised to discriminate the presence of lard in extracted ink of printed food packaging. Two spectral regions (full spectra, 3999–649 cm−1, and combination of two regions, 3110–2630 cm−1and 1940–649 cm−1) of lard, commercial gravure ink, and the blends of both were selected and used to develop a Soft Independent Modelling of Class Analogy (SIMCA) model. The score plots obtained from the Principal Component Analysis (PCA) revealed that the maximum number of factors (7 factors) was needed to explain 84% of the total variance. SIMCA was employed as the method to classify the samples into their specific groups.SiversusHiplots showed that the calibration standards can be classified as lard-containing standards. Sample 2 was deduced to have the highest possibility of containing lard, while only samples 5 and 7 cannot be classified as lard-containing samples. These results demonstrated that FTIR spectroscopy, when combined with multivariate analysis, can provide a rapid method with no excessive sample preparation to detect the presence of lard in ink of foodstuff packaging.

scholarly journals ANALISIS ADULTERAN PADA KOPI LUWAK DENGAN METODE Fourier Transform Infrared (FTIR)

2021 ◽  
Vol 6 (1) ◽  
pp. 26
Author(s):  
Ivan Andriansyah ◽  
Hilman Nur Mukhlis Wijaya ◽  
Purwaniati Purwaniati
Keyword(s):  
Principal Component Analysis ◽  
Fourier Transform ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Component Analysis ◽  
Ft Ir

Kopi merupakan bahan minuman yang sangat terkenal bukan hanya di Indonesia melainkan di seluruh dunia, jenis yang sering dijumpai yaitu arabika dan robusta. Tingginya harga dan permintaan kopi banyak produsen memalsukan atau mencampur kopi dengan bahan lain. Adulterasi adalah upaya menambah atau mengganti bahan makanan dengan tujuan memperoleh, sehingga memberikan dampak buruk pada konsumen. Tujuan dari jurnal ini adalah untuk mengetahui ada atau tidaknya adulteran pada kopi luwak yang beredar dipasaran. Metode analisis FTIR digunakan untuk membuat pola sidik jari dari ekstrak kopi melalui analisis kemometrik dengan metode Principal Component Analysis (PCA). Ekstraksi dilakukan dengan cara maserasi menggunakan pelarut etanol 96%. Pengukuran spektrum inframerah menggunakan alat FT-IR, pada bilangan gelombang 4000-650cm-1 dan resolusi 4 cm-1. Klasifikasi dari kopi yang diadulteran dengan arabika dan kopi luwak menggunakan data PC-1 dan PC-2 dengan nilai berturut-turut 82% dan 14%. Hasil menunjukkan nilai scores menggunakan PC-1 dan PC-2 sampel kopi A berada dekat kuadran kopi luwak, sampel kopi B berada di antara kuadran kopi arabika (adulteran) dan luwak, dan kopi sampel C berada dekat kuadran arabika (adulteran). Metode FTIR dapat mendeteksi dengan batas deteksi 15% (b/b)

Compression of Infrared Libraries by Eigenvector Projection

1987 ◽  
Vol 41 (3) ◽  
pp. 449-453 ◽  
Author(s):  
P. B. Harrington ◽  
T. L. Isenhour
Keyword(s):  
Principal Component Analysis ◽  
Fourier Transform ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Data Preprocessing ◽  
Component Analysis ◽  
Search Performance ◽  
Infrared Spectral ◽  
Spectral Libraries

Different methods of data preprocessing were evaluated for the compression of Fourier transform-infrared spectral libraries by principal component analysis (PCA). The effect of noise on compressed library searches was examined. A PCA compression of an infrared library achieved an 81% reduction in size without any loss in search performance.

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