Analysis of Carbonyl Value of Frying Oil by Fourier Transform Infrared Spectroscopy

Zhang, Han; Ma, Jin; Miao, Yuxin; Tuchiya, Tomohiro; Chen, Jie Yu

doi:10.5650/jos.ess14201

Cited by 38 publications

(15 citation statements)

References 30 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Apparently, the highest r 2 values were obtained from the model 3 (0.94 to 0.96) as compared to the r 2 values of model 1 (0.85 to 0.96) and model 2 (0.80 to 0.92). Similar prediction parameters were previously reported with the D'' of spectra data (Zhang et al, 2015). This is simply due to 'the more distinguishable peaks extracted by second derivatisation process the lower random errors into a calibration model' (Bjørsvik and Martens, 2007).…”

Section: Resultssupporting

confidence: 80%

“…Data processing of original IR spectra and their first and second derivates have now routinely been used in IR spectroscopy studies. Similar to our results, considerably low prediction errors and high correlation coefficients with PLSR model 3 were observed by Isaksson and Naes (1988), Windig et al (2008), Ribeiro et al (2013), Zhang et al (2015) and Hell et al (2016). Comparing the results of PLSR analysis of NIR and FTIR spectra to predict the CA, DM, CP and CF contents of wheat bran high in ash and fibre, FTIR was found superior than NIR to predict the level of CP in the feed materials; although the NIR predicted better CA and crude fibre (CF) contents (Hell et al, 2016).…”

Section: Modelssupporting

confidence: 91%

“…Increasing degree of derivatisation has been reported to result in more distinguishable derivatives (Whitaker and Pigford, 1960;Morrey, 1968). The studies reported better prediction parameters with the models using D'' spectra than the models using original and D' spectra (Isaksson and Naes, 1988;Windig et al, 2008;Zhang et al, 2015). Similarly, we found that the D'' spectra data was also capable of establishing a strong linear relationship between the chemical composition and the peaks over the IR band region (from 3500 to 800 cm −1 ).…”

Section: Resultssupporting

confidence: 58%

See 2 more Smart Citations

Improved by potassium chloride (KCl) dilution predictive ability of attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to determine nutrient contents of sunflower meal

Yaşar¹,

Alma²,

Tosun³

et al. 2019

J. Anim. Feed Sci.

View full text Add to dashboard Cite

Section: Resultssupporting

confidence: 80%

Section: Modelssupporting

confidence: 91%

Section: Resultssupporting

confidence: 58%

See 1 more Smart Citation

Improved by potassium chloride (KCl) dilution predictive ability of attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to determine nutrient contents of sunflower meal

Yaşar¹,

Alma²,

Tosun³

et al. 2019

J. Anim. Feed Sci.

View full text Add to dashboard Cite

“…The disappearance of 3008.4 cm −1 (NL) peak was due to C–H stretching frequencies ( Bright et al., 2010 ). Changes in the peak intensity at 2924.52 and 2854.14 cm −1 (NU) and 2925.48 cm −1 and 2857.02 cm −1 (TL) can be attributed to CH 3 symmetric stretching of proteins and lipids and CH2 symmetric stretching, respectively ( Zhang et al., 2015 ). The shift at 2363.34 cm −1 with an increase in the intensity (NL) was due to the asymmetric stretching of the –N=C=O- group ( Mishra and Jha, 2009 ).…”

Section: Resultsmentioning

confidence: 99%

Bioremediation and tolerance of zinc ions using Fusarium solani

Sayed

El-Sayed

2020

Heliyon

View full text Add to dashboard Cite

Evaluating the mechanism of tolerance and biotransformation Zn(II) ions by Fusarium solani based on the different physiological was the objective of this work. The physical properties of synthesized ZnONPs was determined by UV-spectroscopy, transmission electron microscope, and X-ray powder diffraction. The structural and anatomical changes of F. solani in response to Zn(II) was examined by TEM and SEM. From the HPLC profile, oxalic acid by F. solani was strongly increased by about 10.5 folds in response to 200 mg/l Zn(II) comparing to control cultures. The highest biosorption potential were reported at pH 4.0 (alkali-treated biomass) and 5.0 (native biomass), at 600 mg/l Zn(II) concentration, incubation temperature 30 °C, and contact time 40 min (alkali-treated biomass) and 6 h (native biomass). From the FT-IR spectroscopy, the main functional groups implemented on this remediation were C–S stretching, C=O C=N, C–H bending, C–N stretching and N–H bending. From the EDX spectra, fungal cellular sulfur and phosphorus compounds were the mainly compartments involved on ZN(II) binding.

show abstract

“…During frying, oil has been subjected to be heating at high temperatures at prolonged periods with the presence of water and air, which lead to some complex chemical reactions including thermal degradation, hydrolysis, polymerization, and oxidation [2,3]. The chemical compounds resulted from these reactions are not only producing undesirable components but also affecting the quality of food flavor [4]. As a consequence, the quality control of FO using rapid and reliable methods should be developed.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Oxidative Levels of Frying Oils Using Ftir Spectroscopy and Multivariate Calibration

2018

View full text Add to dashboard Cite

Objective: To develop a rapid reliable technique based on Fourier transform infrared-attenuated total reflectance (FTIR-ATR) spectroscopy in combination with multivariate calibrations for prediction of frying oil quality, namely acid value (AV), iodine value (IV) and peroxide value (PV).Methods: FTIR spectra were directly obtained and subjected to optimization and spectral treatments including a selection of wavenumbers region and spectral derivatization. The condition selected was based on its capability to provide the highest coefficient of determination (R 2 ) and the lowest root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) for the relationship between actual values of AV, IV, and PV as determined using standard titrimetric methods and predicted values as determined by FTIR spectroscopy aided with multivariate calibrations.Results: Using optimized condition, FTIR spectroscopy combined with multivariate calibrations could be successfully used for prediction of AV, and PV. Acid value (AV) could be determined using the first derivative spectra at wavenumbers of 1524-658 cm -1 . The R 2 of 0.973 (in calibration model) and 0.932 (in prediction model) with low RMSEC and RMSEP values was obtained. Iodine value (IV) was best predicted using principle component regression (PCR) with normal FTIR spectra at the combined wavenumbers region of 3076-2783 and 1811-656 cm -1 . PCR using normal spectra at combined wavenumbers region of 3076-2783and 1811-656 cm -1 was also selected for prediction of PV.Conclusion: FTIR spectroscopy in combination with multivariate calibration has been successfully used for prediction of acid value, iodine value and peroxide value in frying oils. The developed method could be an alternative technique for analysis of these values to perform quality assurance of frying oils. I In nt te er rn na at ti io on na al l J Jo ou ur rn na al l o of f A Ap pp pl li ie ed d P Ph ha ar rm ma ac ce eu ut ti ic cs s

show abstract

Analysis of Carbonyl Value of Frying Oil by Fourier Transform Infrared Spectroscopy

Cited by 38 publications

References 30 publications

Improved by potassium chloride (KCl) dilution predictive ability of attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to determine nutrient contents of sunflower meal

Improved by potassium chloride (KCl) dilution predictive ability of attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to determine nutrient contents of sunflower meal

Bioremediation and tolerance of zinc ions using Fusarium solani

Monitoring Oxidative Levels of Frying Oils Using Ftir Spectroscopy and Multivariate Calibration

Contact Info

Product

Resources

About