Authentication of canned fish packing oils by means of Fourier transform infrared spectroscopy

Domínguez‐Vidal, Ana; Rosa, Jaime Pantoja-de la; Cuadros-Rodrı́guez, Luis; Ayora‐Cañada, María José

doi:10.1016/j.foodchem.2015.05.064

Cited by 31 publications

(18 citation statements)

References 19 publications

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“…The spectral range was preliminarily selected by standard deviation (SD) and the spectral wavenumbers were screened by the Monte Carlo uninformative variable elimination (MC‐UVE) method. The basic principle of PLS‐DA was to reduce the independent variable Χ to obtain a maximum covariance between Χ and Υ variables . PLSR was applied to establish the quantitative model based on the linear relationship between the FTIR spectrum (variable Χ ) and the contents of chemical compositions (variable Υ )…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Geographic origin identification and rapid determination of four constituents of Gentiana rigescens by FTIR combined with chemometrics

Zhao

Tianjun

Zhang

et al. 2019

Journal of Chemometrics

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Gentiana rigescens is one of the most important traditional Chinese medicines because of its therapeutic effects in protecting the liver and promoting bile discharge, anti‐hypertension, and spasm and pain relief. To enhance quality control, a comprehensive assessment of G. rigescens from different geographic origins by Fourier‐transform infrared (FTIR) in combination with chemometrics was conducted. Through pretreatment by the second derivative, spectrum standard deviation and Monte Carlo uninformative variable elimination (MC‐UVE), the characteristic FTIR spectra were selected and an identification model of the different geographic origins of G. rigescens was built by partial least squares discriminant analysis (PLS‐DA). The validation results showed that the accuracy rates of the model were 100%, 97.22%, and 100% for samples from Yunnan, Guizhou, and Sichuan, respectively. On the basis of the correlation between characteristic spectral points and the contents of swertiamarin, gentiopicroside, sweroside, and loganic acid, quantitative models were established by partial least squares regression (PLSR). The measured and predicted values were not significantly different as assessed through the paired t test (p > 0.05). Additionally, the characteristic spectra were interpreted, and 93 common peaks were selected. FTIR analysis combined with chemometric methods could accurately identify the different geographic origins of G. rigescens and rapidly predict the content of swertiamarin, gentiopicroside, sweroside, and loganic acid, thus providing a comprehensive method of evaluating traditional Chinese medicines.

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Section: Methodsmentioning

confidence: 99%

“…The basic principle of PLS-DA was to reduce the independent variable Χ to obtain a maximum covariance between Χ and Υ variables. 33 PLSR was applied to establish the quantitative model based on the linear relationship between the FTIR spectrum (variable Χ) and the contents of chemical compositions (variable Υ). 34…”

Section: Multivariate Data Analysismentioning

confidence: 99%

Geographic origin identification and rapid determination of four constituents of Gentiana rigescens by FTIR combined with chemometrics

Zhao

Tianjun

Zhang

et al. 2019

Journal of Chemometrics

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“…However, some other studies differed from this view point as they made use of the dissimilarities in the spectral bands of other regions of the spectrum. Vasconcelos and coworkers [74] showed that 3007, 2922, 2853, 1754, 1160, and 1117 cm -1 were best suited to differentiate extra virgin olive oil from those adulterated peanut oil while Dominguez-vidal and co-workers [80] indicated that the strongest contribution to differentiate extra virgin olive oil from high-oleic sunflower oil came from 3010, 2920, and 2852 cm -1 . Rohman and coworkers [81] used the entire frequency region (4000-600 cm -1 ) to deal with adulteration of red fruit oil with corn and soybean oil mixture.…”

Section: Application Of Chromatographic and Infra-red Spectroscopic Tmentioning

confidence: 99%

Application of Chromatographic and Infra-Red Spectroscopic Techniques for Detection of Adulteration in Food Lipids: A Review

Marikkar¹,

Mirghani²,

Jaswir³

2016

J Food Chem Nanotechnol

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Adulteration of oils and fats is an important commercial issue, which needs intervention from regulatory agencies. Tremendous amount of research has been carried out during the past several decades to address this, starting from classical methods to more sophisticated instrumental techniques. Instrumental techniques based on chromatography and infrared spectroscopy have received particular attention from researchers worldwide since they are fast and efficient. Majority of the past studies suggested the use of assays based on fatty acids, triacylglycerol components, minor constituents, and spectral characteristics as they are really useful to determine the adulteration of food lipids. A discussion on the specificity and sensitivity of these assays in solving adulteration issues of oils and fats is timely. Hence, the purpose of this review is to present an update of the current literature in this topic and provide some directions for future research.

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“…[9,10] It has also been used extensively to detect adulteration of extra virgin olive oil with low value oils. [11][12][13][14] On the other hand, FT-IR has been shown to be able to classify vegetable oils, [15,16] and detect adulterants in extra virgin olive oil. [17][18][19] There has currently been no work which has yet explored the feasibility of spectroscopy to control cold pressed rapeseed oil authentication.…”

Section: Introductionmentioning

confidence: 99%

Detection of Refined Sunflower and Rapeseed Oil Addition in Cold Pressed Rapeseed Oil Using Mid Infrared and Raman Spectroscopy

McDowell

Osório

Elliott

et al. 2018

Euro J Lipid Sci & Tech

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In this study, a new screening technique for the detection of two types of oil adulterants in cold pressed rapeseed oil is investigated. The calibration models built with four different multivariate classifiers (SIMCA, PLS‐DA, LDA‐KNN, and LDA‐SVM) are based on spectral fingerprints from either FT‐IR and Raman instruments from authentic pure oils and in‐house admixtures of the oils involved. When refined sunflower oil is the adulterant, both FT‐IR and Raman produce effective models with high sensitivity of 86% and 93% respectively. When refined rapeseed oil is the adulterant the sensitivity decreases. This is explained by the chemical differences of the two adulterants. PLS‐R quantification analysis estimates minimum detection levels of 15% (Raman) and 9% (FT‐IR) when refined sunflower oil is the adulterant, and 22% (Raman) and 64% (FT‐IR) when refined rapeseed oil is the adulterant. This initial study shows the potential of Raman spectroscopy to be utilized for the screening of cold pressed rapeseed oil authenticity. Practical Applications: It has been well documented in the past that high‐value edible oils can be easily adulterated with lower cost oils for economic gain. Although the cold pressed rapeseed oil industry has not experienced such fraud, it would be prudent to have analytical techniques available to authenticate genuine oils quickly. This would further strengthen cold pressed rapeseed oil's reputation as a product free from substitutional fraud. These calibration models can tool the industry and regulatory bodies with a screening method to detect authenticity in realistic levels. A feasibility study regarding cold pressed rapeseed oil adulteration is investigated. Cold pressed rapeseed oil is adulterated with either refined rapeseed oil or refined sunflower oil and spectra is acquired using either Raman or FT‐IR spectroscopy. A library of spectra is gathered which includes pure cold pressed rapeseed oil and cold pressed rapeseed oil admixtures of varying concentrations. Chemometric analysis is carried out on the dataset with both classification and quantification techniques. The optimum instrument‐chemometric pairings for cold pressed rapeseed oil authentication are discussed.

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Authentication of canned fish packing oils by means of Fourier transform infrared spectroscopy

Cited by 31 publications

References 19 publications

Geographic origin identification and rapid determination of four constituents of Gentiana rigescens by FTIR combined with chemometrics

Geographic origin identification and rapid determination of four constituents of Gentiana rigescens by FTIR combined with chemometrics

Application of Chromatographic and Infra-Red Spectroscopic Techniques for Detection of Adulteration in Food Lipids: A Review

Detection of Refined Sunflower and Rapeseed Oil Addition in Cold Pressed Rapeseed Oil Using Mid Infrared and Raman Spectroscopy

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