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.

Fourier transform infrared spectroscopy coupled with chemometrics for determining the geographical origin of kudzu root and the detection and quantification of adulterants in kudzu root

2017 ◽  
Vol 9 (24) ◽  
pp. 3643-3652 ◽  
Author(s):  
Leqian Hu ◽  
Chunling Yin
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Geographical Origin ◽  
Fourier Transform Infrared ◽  
Chemometric Analysis ◽  
Detection And Quantification

In this study, Fourier transform infrared spectroscopy and chemometric analysis were carried out to determine the geographical origin of kudzu root and detect and quantify adulterants in kudzu root.

scholarly journals Revealing electrolyte oxidation via carbonate dehydrogenation on Ni-based oxides in Li-ion batteries by in situ Fourier transform infrared spectroscopy

2020 ◽  
Vol 13 (1) ◽  
pp. 183-199 ◽  
Author(s):  
Yirui Zhang ◽  
Yu Katayama ◽  
Ryoichi Tatara ◽  
Livia Giordano ◽  
Yang Yu ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Li Ion Batteries ◽  
Ft Ir ◽  
Li Ion ◽  
Electrolyte Oxidation

Carbonate oxidation via dehydrogenation on LiNi0.8Co0.1Mn0.1O2 at voltages as low as 3.8 VLi was revealed by in situ FT-IR measurements.

Identification of Large Isotope Anomalies in Quartz by Infrared Spectroscopy

2019 ◽  
Vol 73 (7) ◽  
pp. 767-773
Author(s):  
Ryan C. Ogliore ◽  
Cosette Dwyer ◽  
Michael J. Krawczynski ◽  
Hélène Couvy ◽  
Max Eisele ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Isotope Composition ◽  
Fourier Transform Infrared ◽  
Spectroscopic Technique ◽  
Far Field ◽  
Ft Ir ◽  
Ir Spectroscopic ◽  
Quartz Grains

We report an infrared (IR) spectroscopic technique to detect quartz grains with large isotope anomalies. We synthesized isotopically doped quartz and used Fourier transform infrared spectroscopy (FT-IR) in two different instruments: a traditional far-field instrument and a neaSpec nanoFT-IR, to quantify the shift in the peak of the Si–O stretch near 780 cm−1 as a function of isotope composition, and the uncertainty in this shift. From these measurements, we estimated the minimum detectable isotope anomaly using FT-IR. The described technique can be used to nondestructively detect very small (30 nm) presolar grains. In particular, supernova grains, which can have very large isotope anomalies, are detectable by this method.

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