2013
DOI: 10.1016/j.foodcont.2013.03.025
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Determination of the peroxide value in extra virgin olive oils through the application of the stepwise orthogonalisation of predictors to mid-infrared spectra

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Cited by 47 publications
(23 citation statements)
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“…The best model performance results (R 2 0.9724, RMSECV 1.14) were obtained when SNV pre-treated spectra were used for PLS model construction. The FD was fairly similar to those from studies by Yildiz et al [9] and Pizarro et al [10], who found that FD pretreatment was one of the more useful preprocessing methods in the development of near-infrared spectroscopy and Fourier transform near-infrared spectroscopy (FT-NIR) models for PV determination; any differences are likely due to the quality of the raw spectra and/or the mode of spectral acquisition. Combining SNV with smoothing, FD, or SD did not further improve model performance, and thus, only SNV pretreated spectra were used to optimize all subsequent models.…”
Section: Spectral Pre-processing and Outlier Eliminationsupporting
confidence: 83%
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“…The best model performance results (R 2 0.9724, RMSECV 1.14) were obtained when SNV pre-treated spectra were used for PLS model construction. The FD was fairly similar to those from studies by Yildiz et al [9] and Pizarro et al [10], who found that FD pretreatment was one of the more useful preprocessing methods in the development of near-infrared spectroscopy and Fourier transform near-infrared spectroscopy (FT-NIR) models for PV determination; any differences are likely due to the quality of the raw spectra and/or the mode of spectral acquisition. Combining SNV with smoothing, FD, or SD did not further improve model performance, and thus, only SNV pretreated spectra were used to optimize all subsequent models.…”
Section: Spectral Pre-processing and Outlier Eliminationsupporting
confidence: 83%
“…These results suggest that there is a significant advantage in terms of calibrating using the BiPLS algorithm. After selection of the spectral regions, the BiPLS general model was even better than specific models for PV determination in olive oil by the application of stepwise orthogonalization of predictors to mid -FTIR [10]. The number of LV, RMSEC, RMSECV, and RMSEP from Pizarro et al's model were 10, 0.7, 0.9, and 0.8, respectively.…”
Section: General Modelsmentioning
confidence: 93%
“…6d). From the perspective of food quality and safety, the evaluation of the peroxide value is among the most important quality control measures for edible oils as it is an indicator of primary oxidation status (Akinoso et al 2010;Pizarro et al 2013). Our results showed that the addition of 0.2 % TCNSL significantly reduced the peroxide value of corn oil at different heating times and temperatures, with similar effects to those measured for additives such as vitamin E (V E ), BHA, BHT, and TBHQ.…”
Section: Effect Of Tcnsl On Trans Isomers In Corn Oils Heated At Varisupporting
confidence: 66%
“…This indicator measures the concentration of hydroperoxides which are unstable and can easily break down to form lowmolecular-weight oxygenated constituents such as alcohols, aldehydes, free fatty acids, and ketones, ultimately leading to rancidity (Akinoso et al, 2010;Pizarro et al, 2013). The peroxide value of blank soybean oil sample without any added antioxidants reached to a maximum value of 46 meq/kg after 20 days storage (Fig.…”
Section: Storage Oxidative Stability Resultsmentioning
confidence: 99%