Adulteration detection of Qinghai-Tibet Plateau flaxseed oil using HPLC-ELSD profiling of triacylglycerols and chemometrics

Wang, Jinying; Han, Yuze; Wang, Xingrui; Li, Yingxia; Wang, Shuzhen; Gan, Shengrui; Dong, Guoxin; Chen, Xia

doi:10.1016/j.lwt.2022.113300

Cited by 7 publications

(6 citation statements)

References 26 publications

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“…For example, to detect adulteration in extra virgin olive oils, UV-IMS (ultraviolet ion mobility spectrometry) combined with chemometric analysis like PCA and LDA [19], near-infrared spectroscopy with chemometric techniques [20], and DSC combined with SVM [21]. As in this study, the detection of adulteration in flaxseed oil has also been reported by other authors using different analytical methods coupled with statistical approach, e.g., mid-infrared spectroscopy (MIR) associated with chemometric technique of PLS [22], low-field nuclear magnetic resonance relaxation fingerprints [23], gas chromatography-mass spectrometry (GC-MS) coupled with PCA and recursive support vector machine (R-SVM) [24], HPLC-ELSD profiling of triacylglycerols and chemometrics [25], dielectric spectroscopy with PCA and LDA analysis [11], Fourier transform infrared spectroscopy (FTIR) and MLR [26]. From all the references mentioned above, the importance of coupling chemometric study for describing the multiple variables obtained from analysis to classify the adulteration detection efficiently was found in most of the aforementioned studies, along with other studies [2,27,28].…”

Section: Introductionsupporting

confidence: 53%

“…Besides this, the Q 2 (cum) value was 0.897 for the PCA model, which shows that the cumulative sum of the cross-validated predictive ability is high for the variables of the normalized heat flow of phase transition curves. This approach of employing PCA analysis can be compared to other studies, where researchers detected (with 100% accuracy) adulteration of flaxseed oil with rapeseed, corn, peanut, sunflower seed, soybean, and sesame oils [25], or adulteration of virgin coconut oil with refined coconut oil [16]. The next chemometric approach was analyzing the dataset of multiple variables using OPLS-DA, which can effectively enhance the separation of classes while maintaining the predictive power of the model by utilizing orthogonal projection in the score plot.…”

Section: Regression Models For Predicting the Concentration Of Refine...mentioning

confidence: 99%

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Different Chemometric Approaches to Detect Adulteration of Cold‐Pressed Flaxseed oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry

Islam¹,

Kaczmarek²,

Montowska³

et al. 2023

Preprint

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Flaxseed oil is one of the best sources of n-3 fatty acids, thus its adulteration with refined oils can lead to a reduction in its nutritional value and overall quality. The purpose of this study was to use the differential scanning calorimetry (DSC) technique to detect adulterations of cold-pressed flaxseed oil with refined rapeseed oil (RP). Based on the melting phase transition curve, parameters such as peak temperature (T), peak height (h), and percentage of area (P) were determined for pure and adulterated flaxseed oils with a RP concentration of 5, 10, 20, 30, 50% (w/w). Significant linear correlations (p ≤ 0.05) between the RP concentration and all DSC parameters were observed, except for h1. In order to assess the usefulness of the DSC technique for detecting adulterations, three chemometric approaches were compared: 1) classification models (Linear Discriminant Analysis, LDA Adaptive Regression Splines, MARS, Support Vector Machine, SVM, Artificial Neural Networks, ANNs); 2) regression models (Multiple Linear Regression, MLR, MARS, SVM, ANNs, PLS) and 3) a combined model of Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). With the LDA model, the highest accuracy of 99.5% in classifying the samples, followed by ANN&gt; SVM &gt; MARS was achieved. Among the regression models, the ANN model showed the highest correlation between observed and predicted values (R= 0.996), while other models showed goodness of fit as following MARS&gt; SVM&gt; MLR. Comparing OPLS-DA and PLS methods, higher values of R2X(cum) =0.986 and Q2 =0.973 were observed with the PLS model than OPLS-DA. These results demonstrate the usefulness of the DSC technique combined with chemometrics for predicting the adulteration of cold-pressed flaxseed oil with refined rapeseed oil.

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Section: Introductionsupporting

confidence: 53%

Section: Regression Models For Predicting the Concentration Of Refine...mentioning

confidence: 99%

Different Chemometric Approaches to Detect Adulteration of Cold‐Pressed Flaxseed oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry

Islam¹,

Kaczmarek²,

Montowska³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

“…For instance, to detect adulteration in extra virgin olive oils, UV-IMS (ultraviolet ion mobility spectrometry) combined with chemometric analyses like PCA and LDA [ 17 ], near-infrared spectroscopy with chemometric techniques [ 18 ], and DSC combined with SVM [ 19 ] were used. The detection of adulteration in flaxseed oil has also been reported by other authors using different analytical methods coupled with a statistical approach, e.g., mid-infrared spectroscopy (MIR) associated with the chemometric technique of PLS [ 20 ], low-field nuclear magnetic resonance relaxation fingerprints [ 21 ], gas chromatography–mass spectrometry (GC-MS) coupled with PCA and recursive support vector machine (R-SVM) [ 22 ], HPLC-ELSD profiling of triacylglycerols and chemometrics [ 23 ], dielectric spectroscopy with PCA and LDA analysis [ 10 ], and Fourier transform infrared spectroscopy (FTIR) and MLR [ 24 ]. Most of these studies emphasized the importance of using multivariate methods to efficiently detect the adulteration.…”

Section: Introductionmentioning

confidence: 94%

Comparing Different Chemometric Approaches to Detect Adulteration of Cold-Pressed Flaxseed Oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry

Islam,

Kaczmarek,

Montowska

et al. 2023

Foods

View full text Add to dashboard Cite

Flaxseed oil is one of the best sources of n-3 fatty acids, thus its adulteration with refined oils can lead to a reduction in its nutritional value and overall quality. The purpose of this study was to compare different chemometric models to detect adulteration of flaxseed oil with refined rapeseed oil (RP) using differential scanning calorimetry (DSC). Based on the melting phase transition curve, parameters such as peak temperature (T), peak height (h), and percentage of area (P) were determined for pure and adulterated flaxseed oils with an RP concentration of 5, 10, 20, 30, and 50% (w/w). Significant linear correlations (p ≤ 0.05) between the RP concentration and all DSC parameters were observed, except for parameter h1 for the first peak. In order to assess the usefulness of the DSC technique for detecting adulterations, three chemometric approaches were compared: (1) classification models (linear discriminant analysis—LDA, adaptive regression splines—MARS, support vector machine—SVM, and artificial neural networks—ANNs); (2) regression models (multiple linear regression—MLR, MARS, SVM, ANNs, and PLS); and (3) a combined model of orthogonal partial least squares discriminant analysis (OPLS-DA). With the LDA model, the highest accuracy of 99.5% in classifying the samples, followed by ANN > SVM > MARS, was achieved. Among the regression models, the ANN model showed the highest correlation between observed and predicted values (R = 0.996), while other models showed goodness of fit as following MARS > SVM > MLR. Comparing OPLS-DA and PLS methods, higher values of R2X(cum) = 0.986 and Q2 = 0.973 were observed with the PLS model than OPLS-DA. This study demonstrates the usefulness of the DSC technique and importance of an appropriate chemometric model for predicting the adulteration of cold-pressed flaxseed oil with refined rapeseed oil.

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“…Chemometrics is an interdisciplinary field that combines statistical, mathematical, and computer science techniques for the extraction of information from the chemical system through mathematical models [ 21 ]. With the development of related science and technology, the use of multivariate statistical analysis of the original information using chemometrics has become widely used.…”

Section: Introductionmentioning

confidence: 99%

Combination of fingerprint and chemometric analytical approaches to identify the geographical origin of Qinghai-Tibet plateau rapeseed oil

Ye,

Wang,

Gan

et al. 2024

Heliyon

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Adulteration detection of Qinghai-Tibet Plateau flaxseed oil using HPLC-ELSD profiling of triacylglycerols and chemometrics

Cited by 7 publications

References 26 publications

Different Chemometric Approaches to Detect Adulteration of Cold‐Pressed Flaxseed oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry

Different Chemometric Approaches to Detect Adulteration of Cold‐Pressed Flaxseed oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry

Comparing Different Chemometric Approaches to Detect Adulteration of Cold-Pressed Flaxseed Oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry

Combination of fingerprint and chemometric analytical approaches to identify the geographical origin of Qinghai-Tibet plateau rapeseed oil

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