首页 | 本学科首页   官方微博 | 高级检索  
     


Molecular weight averages as criteria for quality assessment of heated oils and fats
Authors:Sajid Husain  G S R Sastry  N Prasada Raju
Affiliation:(1) Analytical Chemistry Division, Indian Institute of Chemical Technology, 500 007 Hyderabad, India
Abstract:A simple method for quality assessment of heated oils and fats is described. The proposed method involves precise determination of molecular weight averages (MWA)viz., the weight average molecular weight ( 
$$\left( {\bar {\rm M}w} \right)$$
), the number average molecular weight ( 
$$\left( {\bar {\rm M}n} \right)$$
) and the Z-average molecular weight ( 
$$\left( {\bar {\rm M}z} \right)$$
) by high performance size exclusion chromatography (HPSEC) and their quantitative correlation to percent polar material obtained by column chromatography (CC). Change in MWA on heat treatment of fourteen different edible oils and fats at 180° ± 2°C for eight 8-hr days is studied. Relative standard deviations and regression coefficients of correlation between MWA and their ratios ( 
$$\left( {\bar {\rm M}w} \right)$$
, { 
$$\left( {\bar {\rm M}n} \right)$$
}, { 
$$\left( {\bar {\rm M}z} \right)$$
}, { 
$$\bar {\rm M}z/\bar {\rm M}n$$
}, { 
$$\bar {\rm M}w/\bar {\rm M}n$$
} and { 
$$\bar {\rm M}z/\bar {\rm M}w$$
)vs percent polar material have been reported. Probable discard time was predicted for all the oils based on the above-mentioned correlations and also from the percent of high molecular weight (H. Mwt) species formed. It was observed that the oils which are generally recommended for coronary patients deteriorated faster. A possibility of extending this methodology to the frying oils is suggested. Part of the work was presented at “40th Pittsburgh Conference on Analytical Chemistry and Applied Spectroscopy” at Georgia World Congress Centre, USA, 1989. IICT Communication No. 2630.
Keywords:Column chromatography  discarding time  heated oils  high molecular weight species  high performance size exclusion chromatography  molecular weight averages  quality assessment
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号