2015
DOI: 10.1007/s13197-015-2021-y
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RSM applied for optimization of deep-fat fried ripe plantain slices and study of oxidation kinetics of oil by a DSC and polar methods

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Cited by 7 publications
(6 citation statements)
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“…DSC is a thermo‐analytical tool widely used for characterization of fats and oils, which gives useful information on crystallization and melting behavior, phase diagram, and adulterants (Pambou‐Tobi et al, 2016). Its known fact that the presence of FFA, partial glycerides, and oxidative products like hydroperoxides, dimers, polymers, aldehydes, and polar compounds is mainly responsible for changes and re‐arrangement of polymeric form of lipid molecules.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…DSC is a thermo‐analytical tool widely used for characterization of fats and oils, which gives useful information on crystallization and melting behavior, phase diagram, and adulterants (Pambou‐Tobi et al, 2016). Its known fact that the presence of FFA, partial glycerides, and oxidative products like hydroperoxides, dimers, polymers, aldehydes, and polar compounds is mainly responsible for changes and re‐arrangement of polymeric form of lipid molecules.…”
Section: Resultsmentioning
confidence: 99%
“…These reactive principle compounds have strong influence on changes in crystallization and melting behavior of lipids. As a result, reduction in crystallization and melting range to a lower temperature can be noticed (Pambou‐Tobi et al, 2016). Table 4, shows the differences in thermal behaviour of BSO:SO oil blends.…”
Section: Resultsmentioning
confidence: 99%
“…Transesterification [21] of flax seed oil was carried out in presence of 1% H2SO4 and methanol under condensation at temperature of 60oC for a reaction time 3h. The samples were drawn at regular interval of time and monitoring the progress of the reaction by determining the thin layer chromatography (TLC).…”
Section: Methods For Preparation Of Flax Seed Methyl Estermentioning
confidence: 99%
“…Most often, it is observed that response data obtained in a biological system generate a curvature in the approximate function. Thus, a second‐order polynomial equation with second‐order function is employed as given below: Y=β0+i=13βiXi+j=13βiiXi2+i=12j=i+13βijXiXj+ε where Y is the predicted response, β 0 is the constant coefficient, β i is the linear coefficient, β ii is the quadratic coefficients, β ij is the interaction coefficients, and ε is the residual error (Seth, Badwaik, & Ganapathy, ; Pambou‐Tobi, Arab‐Tehrany, Niamayoua, & Linder, ). Response data obtained were subjected to regression analysis by least square method to generate terms of mathematical model.…”
Section: Methodsmentioning
confidence: 99%