浙江农业学报 ›› 2017, Vol. 29 ›› Issue (11): 1897-1902.DOI: 10.3969/j.issn.1004-1524.2017.11.17

• 食品科学 • 上一篇    下一篇

基于近红外光谱法的山茶籽油理化指标快速检测

蒋琦1, 张玉2, 杨华2, 王强2, 王君虹2, 李雪2, 朱作艺2, 王伟2, *, 张存莉1, *   

  1. 1.西北农林科技大学 生命科学学院,陕西 杨凌 712100;
    2.浙江省农业科学院 农产品质量标准研究所,浙江 杭州 310000
  • 收稿日期:2017-04-01 出版日期:2017-11-20 发布日期:2017-12-05
  • 通讯作者: 王伟,E-mail:Wangwei5228345@126.com;张存莉,E-mail:zhangcunli529@163.com
  • 作者简介:蒋琦(1993—),女,山东东营人,硕士研究生,研究方向为油脂快速检测。E-mail:jiangqi6789@163.com
  • 基金资助:
    国家自然科学基金(31401495); 浙江省自然科学基金(LY15C200010,LQ15C200006); 浙江省农业科学院中美国际合作项目(2010DS700124-ZM1602)

Rapid determination of physical and chemical indicators in camellia oil based on near infrared spectrum analysis

JIANG Qi1, ZHANG Yu2, YANG Hua2, WANG Qiang2, WANG Junhong2, LI Xue2, ZHU Zuoyi2, WANG Wei2, *, ZHANG Cunli1, *   

  1. 1. College of Life Science, Northwest A&F University, Yangling 712100, China;
    2. Institute of quality standards for agricultural products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310000, China
  • Received:2017-04-01 Online:2017-11-20 Published:2017-12-05

摘要: 为实现山茶籽油理化指标的快速检测,采用近红外光谱结合偏最小二乘分析法(PLS)建立山茶籽油中碘值、酸价、过氧化值的定量分析模型。结果表明,碘值、酸价和过氧化值分别以5 966~9 000、4 447~5 665、4 447~5 605 cm-1范围内采用一阶求导和S-G平滑处理所得模型最佳。外部验证显示,基于前述模型所得的碘值、酸价和过氧化值的预测值与实测值的相关系数(R2)分别为0.999 2、0.997 7、0.996 9,验证效果良好,表明模型可用于山茶籽油理化指标的快速、准确测定,可为山茶籽油真伪鉴别及掺假检测提供方法支持。

关键词: 山茶籽油, 近红外光谱, 碘值, 酸价, 过氧化值

Abstract: In order to non-destructively and precisely determine the iodine value, acid value and peroxide value in camellia oils, the quantitative models for iodine value, acid value and peroxide value were established by near infrared spectroscopy (NIS) with partial least squares (PLS). It was shown that the best models of iodine value, acid value and peroxide value were established by first derivative and Savitzky-Golay filter (S-G) with PLS based on the selected spectral ranges of 5 966-9 000, 4 447-5 665, 4 447-5 605 cm-1. Verification test showed that the correlation coefficients (R2) of predicated values and determination results were 0.999 2, 0.997 7, 0.996 9. Therefore, it was feasible to detect physical and chemical indicators in camellia oils based on NIS with the constructed models.

Key words: camellia oil, near infrared spectroscopy, iodine value, acid value, peroxide value

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