摘要
目的:建立岷归红外光谱鉴别模型,准确区分岷归和其他产地当归.方法:通过走访和实地调查,从甘肃省采集当归样品共计1 540批次,利用傅里叶变换红外光谱技术采集各样品的中红外光谱.计算423批岷归的平均光谱,作为其指纹图谱.中红外光谱结合"3σ"准则确定岷归的鉴别阈值为(μ-3σ)0.989 6,初步形成岷归的鉴别模型.随机抽取3批岷归及97批其他产地当归对模型进行验证.结果:当归样品特征峰均在 3 560、3 389、3 342、2 931、1 743、1 650、1 459、1 409、1 385、1 374、1 323、1 279、1 239、1 128、1 115、1 104、1 068、1 053、1 013、1 004、991、920 cm-1等处,423批岷归的中红外光谱相似度高,其峰形、峰位、峰强相似,岷归样品与指纹图谱的相关系数在0.992 0～0.998 0.鉴别模型检验正确率为97％.结论:建立的岷归红外光谱鉴别模型可用于区别岷归和其他产地当归.
Abstract
Objective:To establish the infrared spectrum identification model to distinguish Mingui from Angelica sinensis from other habitats.Methods:A total of 1 540 batches of A.sinensis were collected from Gansu Province through visits and field investigation,and the mid-infrared spectrum of each sample was collected by Fourier transform infrared spectroscopy.The average spectra of 423 batches of Mingui were calculated as their fingerprint.The identification threshold of Mingui was determined as 0.989 6(μ-3σ)by mid-infrared spectroscopy com-bined with the"3σ"criterion.The identification model of Mingui was established.Three batches of Mingui and 97 batches of A.sinensis from other habitats were randomly selected to verify the identification model.Results:The characteristic peaks of samples were observed at 3 560,3 389,3 342,2 931,1 743,1 650,1 459,1 409,1 385,1 374,1 323,1 279,1 239,1 128,1 115,1 104,1 068,1 053,1 013,1 004,991 and 920 cm-1,etc.The mid-infrared spectra of 423 batches of Mingui were highly similar,and their peak shape,peak position and peak intensity were similar.The correlation coefficients between Mingui and the fingerprint ranged from 0.992 0 to 0.998 0.The accuracy of identification model test was 97％.Conclusion:The identification model of Mingui could be used to distinguish Mingui from other A.sinensis from other habitats.
基金项目
甘肃省2024年省级人才项目(青年团体)()
平凉市科技人才专项计划(PL-STK-2023A-039)
甘肃医学院校级项目(GY-2022ZK008)
维普
万方数据