2019
DOI: 10.26656/fr.2017.4(1).198
|View full text |Cite
|
Sign up to set email alerts
|

The employment of FTIR spectroscopy and chemometrics for authentication of pumpkin seed oil from sesame oil

Abstract: The adulteration practice of high price oils such as pumpkin seed oils (PSO) with lower ones could be motivated by economic gains. The objective of this study was to apply FTIR spectroscopy in combination with chemometrics of multivariate calibrations and discriminant analysis for the authentication of PSO. A total of fifteen oils were scanned using FTIR spectrophotometer at mid-infrared regions (4000-650 cm -1 ) and subjected to principal component analysis (PCA) using absorbance values at whole mid-IR region… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
9
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 11 publications
(11 citation statements)
references
References 21 publications
2
9
0
Order By: Relevance
“…In the fingerprint region, the stretching vibrations of aliphatic and olefinic functional groups were observed. The triglyceride absorption peaks, as major components of edible oils were dominant, with absorptions 2922-2924 cm −1 (C-H asymmetric stretching), 2852 cm −1 (C-H symmetric stretching), 1454 cm −1 (C-H bending (scissoring), 1166 cm −1 (C-O stretching and C-H bending), and 719-721, 790 cm −1 (C-H and -HC=CH-bending) in agreement with different literature data [6,31,40,53]. The chemometric techniques, such as PCA and PLS, using Unscrambler were adopted to systematically classify these edible oils based on their FTIR spectra.…”
Section: Atr-ftir-mir Spectra Fingerprintssupporting
confidence: 90%
“…In the fingerprint region, the stretching vibrations of aliphatic and olefinic functional groups were observed. The triglyceride absorption peaks, as major components of edible oils were dominant, with absorptions 2922-2924 cm −1 (C-H asymmetric stretching), 2852 cm −1 (C-H symmetric stretching), 1454 cm −1 (C-H bending (scissoring), 1166 cm −1 (C-O stretching and C-H bending), and 719-721, 790 cm −1 (C-H and -HC=CH-bending) in agreement with different literature data [6,31,40,53]. The chemometric techniques, such as PCA and PLS, using Unscrambler were adopted to systematically classify these edible oils based on their FTIR spectra.…”
Section: Atr-ftir-mir Spectra Fingerprintssupporting
confidence: 90%
“…In the quantification analysis, a series of calibration and validation or prediction samples with known concentrations of CNO and EOCM were prepared as in Irnawati et al (2020). For preparing the calibration samples, twenty-one samples consisting of EOCM in the binary mixtures with CNO at concentration ranges of 0-100.0% v/v were made.…”
Section: Preparation Of Calibration and Validation Samplesmentioning
confidence: 99%
“…The selection of PSO, SEO and RBO in ternary mixtures was based on the similarity of these three FTIR spectra based on principal component analysis (PCA). These oils had the similar score plot both in the first principle components (PC1) and the second principle component (PC2), therefore they are similar in variables used in PCA (Irnawati et al, 2020).…”
Section: Resultsmentioning
confidence: 93%
“…In this study, the combination of FTIR spectroscopy and multivariate analysis (calibration in multivariate modes and discriminant analysis) for the determination of three functional edible oils of SEO, PSO, and RBO. The selection of these three oils was based on the similarity in terms of FTIR spectra as analyzed using chemometrics of principal component analysis (PCA) exploiting the absorbance values as variables (Irnawati et al, 2020).…”
Section: Introductionmentioning
confidence: 99%