光散射学报, 2015, 27 (4): 0390, 网络出版: 2016-01-20   

基于离散小波变换对不同种类瓜籽的FTIR鉴别研究

Determination of Different Species of Melon Seeds by Fourier Transform Infrared Spectroscopy Combined with Discrete Wavelet Transform
作者单位
云南师范大学物理与电子信息学院,昆明 650500
摘要
傅里叶变换红外光谱(FTIR)结合离散小波变换(DWT)对不同种类的瓜籽进行鉴别研究。测试了6种瓜籽30个样品的红外光谱,结果表明:不同种类瓜籽的红外图谱相似,但在1700~900 cm-1范围,光谱的峰位、吸收强度及峰形状存在一定差异。选取该区域光谱进行离散小波变换,发现第二尺度细节系数差异明显。基于第二尺度细节系数对样品进行相关分析、主成分分析和聚类分析,其相关性最大的为丝瓜籽和南瓜籽,相关系数达到0.9279,最小是丝瓜籽和冬瓜籽为0.2147;主成分分析中,前2个主成分的累计贡献率达到95.50%,能准确代表6种瓜籽的光谱信息,且主成分分析和聚类分析正确率达100%。研究结果表明FTIR结合离散小波变换分析方法可以用来鉴别研究不同种类的瓜籽。
Abstract
Fourier transform infrared spectroscopy combined with discrete wavelet transform was used to discriminate 6 species of melon seeds. Spectra of 30 samples were obtained. The results showed that the infrared spectra of the samples were similar,while in the range of 1700~900 cm-1,tiny differences in wave-numbers and absorption intensity of peaks were observed. The spectra in this range were selected to perform discrete wavelet transform,and the obvious differences were found in the second scale detail coefficients. The second scale coefficients were selected to perform the correlation analysis,principal component analysis(PCA)and hierarchical cluster analysis(HCA). The results showed that towel gourd seeds had very significant positive correlation with cushaw seeds with correlation coefficient 0.9279,while the towel gourd seeds and semen benincasae had minimum correlation coefficient. The contributing rates of the first two principal components in PCA had reached 95.50%,which can reflect the main information in the spectra. The accuracy of PCA and HCA were 100%. It demonstrates that Fourier Transform Infrared spectroscopy combined with discrete wavelet transform was a rapid and effective method for discriminating different species of melon seeds.
参考文献

[1] 张国华,王常青. 葵粕分离蛋白提取工艺的比较及蛋白组成的研究[J]. 中国粮油学报,2009,24(6):174-176.

    Zhang guohua,Wang changing. Comparison of protein extraction processes from sunflower meal[J]. Journal of the Chinese Cereals and Oils Association,2009,24(6):174-176.

[2] 吕程丽,周红丽,蒋婷,等. 南瓜籽油的气相色谱分析及理化特性研究[J]. 农产品加工学刊,2012,286:29-31.

    Lv chengli,Zhou hongli,Jiang ting, et al. The gas chromatography analysis and characterization research of pumpkin seed oil[J]. Academic Periodical of Farm Products Processing,2012,286:29-31.

[3] 马斐,刘静,郑艳青,等. 冬瓜籽中总皂昔的含量测定[J]. 齐鲁药事,2012,31(7):402-403.

    Ma fei,Liu jing,Zheng yanqing,et al. Determination of total saponins in Semen Benincasae[J]. Qi Lu Pharmaceutical Affairs,2012,31(7):402-403.

[4] 张文文. 西瓜籽营养成分分析研究 [D]. 安徽农业大学,2011.

    Zhang wenwen. The study analysis of nutritional component of watermelon seed [D]. Anhui agricultural university,2011.

[5] 国家中医药管理局. 中华本草[M],上海:上海科学技术出版社. 1999.

    The state administration of traditional Chinese medicine. Chinese Herbal Medicine[M],Shang hai:Shanghai science and technology publishing. 1999.

[6] 赵佳丽,张怀,孙建中,等. 黄瓜籽生品及炮制品多糖的含量比较分析[J]. 中国实验方剂学杂志,2010,16(13):53-55.

    Zhao jiali,Zhang huai,Sun jianzhong,et al. Content Determination of Polysaccharides in Cucumber seed and its processed product[J]. Chinese Journal of Experimental Traditional Medical Formulae,2010,16(13):53-55.

[7] 张平,张岚,葛红娟,等. 黄瓜籽粉抗疲劳及对血浆蛋白和钙、铁、锌的研究[J]. 食品研究与开发,2013,34(11):84-86.

    Zhang pin,Zhang lan,Ge hongjuan,et al. The Cucumber Seed Powder Resistance to Fatigue and the Study of Plasma Protein,Calcium,Iron and Zinc[J]. Food Research And Development,2013,34(11):84-86.

[8] 郭国华. 临床中药辞典[M]. 湖南:湖南科学技术出版社,2007.

    Guo guohua. Chinese Clinical medicine dictionary[M]. Hunan:Hunan science and technology publishing,2007.

[9] 王建平,任健,宋春丽,等. 反胶束法萃取葵花子蛋白的结构及营养特性分析[J]. 粮油食品科技,2013,21(5):43-46.

    Wang jianping,Ren jian,Song chunli,et al. Structure of sunflower seed protein extracted by reverse micelles and its nutritional characteristics[J]. Grain and oil food science and technology,2013,21(5):43-46.

[10] 王青,白希,唐军,等. FTIR结合主成分聚类用于伽师瓜籽品种的鉴别[J]. 光谱实验室,2013,30(5):2084-2088.

    Wang qin,Bai xi,Tang jun,et al. FTIR Spectroscopy Combined with Principal Component and Cluster Analysis:Application to Identification of Different Varieties of Jiashi Melon Seed[J]. Chinese Journal of Spectroscopy Laboratory,2013,30(5):2084-2088.

[11] 刘飞,刘刚. 核桃和花生傅里叶变换红外光谱分析[J]. 安徽农业科学,2010,38(14):7206-7207.

    Liu fei,Liu gang. Analysis of walnut and peanut by Fourier transform infrared spectroscopy[J]. Journal of Anhui Agri,2010,38(14):7206-7207.

[12] Yang H,Irudayaraj J,Paradkar M M. Discrinant analysis of edible oils and fats by FTIR,FT-NIR and FT-Raman spectroscopy[J]. Food Chemistry,2005,93(1):25-32.

[13] Karoui R,Hammami M,Rouissi H,et al. Mid infrared and fluorescence spectroscopies coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems[J]. Food Chemistry,2011,127(2):743-748.

[14] 于修烛,杜双奎,王青林,等. 傅里叶红外光谱法油脂定量分析研究进展[J]. 中国粮油学报,2009,24(1):129-136.

    Yu xiuzhu,Du shuangkui,Wang Qinglin, et al. Advance of reaserch on edible oil quantitative analysis using FTIR spectroscopy[J]. Journal of the Chinese Cereals and Oils Assoeiation,2009,24(1):129-136.

[15] Xianghe Meng,Qiuyue Pan,Yang Ding,et al. Rapid determination of phospholipid content of vegetable oils by FTIR spectroscopy combined with partial least-square regression[J]. Food Chemistry,2014,147:272-278.

[16] Tian Gaoyou,Yuan Hongfu,Liu Huiying,et al. Application of wavelet transform on the near infrared analysis[J]. Chinese Journal of Analytical Chemistry,2004,32(9):1125-1130.

马殿旭, 刘刚, 于海超, 李会梅, 刘艳, 任静, 吴跃. 基于离散小波变换对不同种类瓜籽的FTIR鉴别研究[J]. 光散射学报, 2015, 27(4): 0390. 马殿旭, 刘刚, 于海超, 李会梅, 刘艳, 任静, 吴跃. Determination of Different Species of Melon Seeds by Fourier Transform Infrared Spectroscopy Combined with Discrete Wavelet Transform[J]. The Journal of Light Scattering, 2015, 27(4): 0390.

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