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近红外漫反射光谱法测定油茶籽含油量的研究

原姣姣 王成章 陈虹霞 叶建中

林产化学与工业2011,Vol.31Issue(3):28-32,5.
林产化学与工业2011,Vol.31Issue(3):28-32,5.

近红外漫反射光谱法测定油茶籽含油量的研究

Determination of Oil Content of Camellia oleifera Abel. Seeds by Near Infrared Reflectance Spectroscopy

原姣姣 1王成章 1陈虹霞 2叶建中1

作者信息

  • 1. 中国林业科学研究院林产化学工业研究所,生物质化学利用国家工程实验室,国家林业局林产化学工程重点开放性实验室,江苏省生物质能源与材料重点实验室,油茶科学中心加工利用实验室,江苏南京210042
  • 2. 中国林业科学研究院林业新技术研究所,北京100091
  • 折叠

摘要

Abstract

Near-infrared reflectance spectroscopy of Camellia oleifera seed was used to determine its oil content, which was compared with the oil content data of 30 samples of C. oleifera Abel. seeds obtained by conventional Soxhlet extraction method.Combined with the correspending near infrared reflectance spectroscopy, the accurate model was well establisbed with different pretreatment methods and regression analysis. The results demonstrated that the correlation cofficients of calibration ( Rc ) and the root mean square errors of calibration (RMSEC) though first derivative、multiplicative signal correction( MSC)and Savitzky-Golay filter spectral pretreatment methods were O.925 67 and 2.53 respectively. The correlation eoefficients of cross-validation ( Rcv ) and the root mean square errors of cross-validation( RMSECV ) were 0.917 27 and 2.67 respectively. The best spectral ranges were 4200. 20-88.35 cm-1 and 4666.89-4639.89 cm-1. Furthermore, the comparsion of the calibration models by PIS and PCR showed that PLS was the optimal regression method. The correlation coefficients (r) between NIRS value and chemical value was 0.897 8. All parameters indicated that near infrared reflectance spectra information of C. oleifera seeds could be used to predict the oil content fast and exactly.

关键词

近红外漫反射/油茶/含油量

Key words

near infrared reflectance spectroscopy/Camellia oleifera Abel./ oil content

分类

化学化工

引用本文复制引用

原姣姣,王成章,陈虹霞,叶建中..近红外漫反射光谱法测定油茶籽含油量的研究[J].林产化学与工业,2011,31(3):28-32,5.

基金项目

"十一五"国家科技支撑计划资助(2009BADB1B03) (2009BADB1B03)

中央级公益性科研院所基本科研业务费专项资金(CAFYBB2008036) (CAFYBB2008036)

浙江省省院合作项目(2009SY01) (2009SY01)

林产化学与工业

OA北大核心CSCDCSTPCD

0253-2417

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