Prediction of fatty acid composition in Camellia oleifera oil by near infrared transmittance spectroscopy (NITS)

被引：118

作者：

Yuan, Jiaojiao ^{[1
,2
,3
]}

Wang, Chengzhang ^{[1
,2
,3
,4
]}

Chen, Hongxia ^{[1
,2
,3
]}

Zhou, Hao ^{[1
,2
,3
]}

Ye, Jianzhong ^{[1
,2
,3
,4
]}

机构：

[1] CAF, Inst Chem Ind Forest Prod, Nanjing 210042, Jiangsu, Peoples R China

[2] SFA, Key & Open Lab Forest Chem Engn, Nanjing 210042, Jiangsu, Peoples R China

[3] Natl Sci Ctr Proc Camellia Oleifera, Key Lab, Nanjing 210042, Jiangsu, Peoples R China

[4] CAF, Inst New Technol Forestry, Beijing 100091, Peoples R China

来源：

FOOD CHEMISTRY | 2013年 / 138卷 / 2-3期

关键词：

NITS; Camellia oleifera Abel; FA composition; C. oleifera oil; BRASSICA-NAPUS L; REFLECTANCE SPECTROSCOPY; NONDESTRUCTIVE ESTIMATION; SEEDS; RAPESEED;

D O I：

10.1016/j.foodchem.2012.11.096

中图分类号：

O69 [应用化学];

学科分类号：

070301 [无机化学];

摘要：

Under the serious circumstances of Camellia oleifera adulteration, the accurate examination for quality trait of C oleifera oil is extremely urgent. For rapid determination of FA composition in C oleifera oil, the feasibility of NITS was first studied. The quantitative models for FA were built based on PLS regression. NITS spectra is able to accurately predict for oleic, linoleic, and palmitic acids (R-cv > 0.844, R-2 > 0.886). R-cv, are 0.91987, 0.95755, and 0.84447, and R-2 are 0.9424, 0.9682, 0.8862 for NITS models of oleic, linoleic, and palmitic acids, respectively. But models for stearic and unsaturated acids are less accurate, with values of R-cv, from 0.67440 to 0.69114, and R-2 from 0.6834 to 0.7587. These results indicate that NITS will have potential to be used in predicting FA composition of C. oleifera oil. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：1657 / 1662

页数：6

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