摘要
为了研究优质小米的结构,分别采用中红外(MIR)光谱(包括—维MIR光谱和二阶导数MIR光谱)和同步2D-MIR光谱技术开展5种小米(包括A金小米、B黄小米、C龙山小米、D桃花小米和E红谷小米)的结构研究。实验发现,小米的红外吸收模式主要包括OH伸缩振动模式(VOH-小米)、C=O伸缩振动模式(VC=O-小米)、C-O伸缩振动模式(VC-O-小米)、CH2不对称伸缩振动模式(VasCH2-小米)、CH2对称伸缩振动模式(VsCH2-小米)、蛋白质酰胺Ⅰ带吸收模式(Vamide-Ⅰ-小米)、蛋白质酰胺Ⅱ带吸收模式(Vamide-Ⅱ-小米)和蛋白质酰胺Ⅲ带吸收模式(Vamide-Ⅲ-小米)。不同小米的蛋白质含量及种类存在着一定的差异性。分别开展小米蛋白质(包括Vamide-Ⅰ-小米-二维和Vamide-Ⅱ-小米-二维)同步2D-MIR光谱研究,可以鉴别上述5种小米。研究结果表明,MIR光谱结合同步2D-MIR光谱可以有效地开展优质小米结构及鉴别研究工作,可为优质小米的鉴别提供参考。
The structure and identification of quality millet(including gold-millet A,yellow-millet B,longshan-millet C,peachblossom-millet D and honggu-millet E)were researched by Mid-infrared(MIR)spectroscopy(one-dimensional MIR spectroscopy and second derivative MIR spectroscopy)and synchronous 2D-MIR spectroscopy.There were OH stretching vibration mode(VOH-millet),C=O stretching vibration mode(VC=O-millet),C-O stretching vibration mode(VC-O-millet),CH2 asymmetrical stretching vibration mode(VasCH2-millet),CH2 symmetrical stretching vibration mode(VsCH2-millet),protein amideⅠband mode(Vamide-Ⅰ-millet),protein amide Ⅱ band mode(Vamide-Ⅱ-millet)and protein amide Ⅲ band mode(Vamide-Ⅲ-millet).There were some differences in protein content and species of different millet.The synchronous 2DMIR spectroscopy of millet protein(included Vamide-Ⅰ-millet-2 D and Vamide-Ⅱ-millet-2 D)could be used to distinguish five kinds of millet.The simulation results showed that the structure and identification of the millet was effectively studied by MIR spectroscopy and synchronous 2D-MIR spectroscopy.This study could provide a reference for the identification the quality of Millet.
作者
赵晓燕
张彬
李倩
沙淑莉
李丹丹
周冠霖
肖霄
于宏伟
ZHAO Xiao-yan;ZHANG Bin;LI Qian;SHA Shu-li;LI Dan-dan;ZHOU Guan-lin;XIAO-xiao;YU Hong-wei(Hebei Global Testing Technologies Limited,Shijiazhuang 050000,China;Shijiazhuang University School of Chemical Engineering,Shijiazhuang 050035,China)
出处
《特产研究》
2021年第1期33-38,48,共7页
Special Wild Economic Animal and Plant Research
基金
石家庄市科学技术研究与发展计划课题(191490993)。
关键词
小米
红外光谱
结构
鉴别
millet
infrared spectroscopy
structure
identification