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基于ATR-FTIR法快速鉴别亳州产菊花品种OA

Rapid Identification of Chrysanthemum Varieties Produced in Bozhou Based on ATR-FTIR Method

中文摘要英文摘要

为建立一种快速、准确的亳州菊花品种鉴别方法,采用衰减全反射傅立叶变换红外光谱(ATR-FTIR)结合化学计量学方法,对11个不同品种的亳州菊花样品进行分析.首先采集各样品的ATR-FTIR光谱信息,并对原始光谱数据进行多种预处理和变量筛选,以降低噪声干扰、增强光谱特征并提高模型的分类能力.在此基础上,采用正交偏最小二乘判别分析(OPLS-DA)对不同品种菊花样品进行分类识别,考察其在模式识别中的应用效果.ATR-FTIR光谱能够较好地反映不同品种亳州菊花样品的化学组成差异,结合化学计量学分析可实现对不同品种样品的快速分类与有效鉴别.OPLS-DA结果显示,不同品种菊花样品之间具有较为清晰的聚类趋势,能够较直观地反映各品种间的差异.通过对多种光谱预处理方法及变量选择方法的比较与评估,确定MSC结合2nd D为最优预处理方法.进一步采用支持向量机(SVM)建立分类预测模型.结果显示,SVM模型具有优异的分类性能和较高的预测精度,训练集准确率达到100%,测试集准确率为98.2%,表明所建立模型具有良好的识别能力和泛化性能.研究结果说明,ATR-FTIR结合化学计量学方法能够有效区分不同品种的亳州菊花.与传统鉴别方法相比,该方法具有操作简便、分析快速、效率高及结果准确可靠等优点,可为亳州菊花品种鉴别及质量评价提供新的技术手段和理论依据.

To establish a rapid and accurate method for the identification of chrysanthemum varieties in Bozhou,we analyzed 11 varieties of Chrysanthemum morifolium Ramat.from Bozhou by combining attenuated total reflectance Fourier-transform infrared(ATR-FTIR)spectroscopy with chemometric methods.First,ATR-FTIR spectral information was collected from all the samples,and the raw spectral data were subjected to multiple preprocessing methods and variable selection to reduce noise interference,enhance the spectral features,and improve the classification ability of the model.Orthogonal partial least squares discriminant analysis(OPLS-DA)was used to classify and identify samples of different chrysanthemum varieties,and its application in pattern recognition was evaluated.The ATR-FTIR spectra reflected the differences in the chemical composition among the different varieties of Chrysanthemum morifolium Ramat.from Bozhou.When combined with chemometric analysis,this method enabled the rapid classification and effective discrimination of different varieties.The OPLS-DA results showed a relatively clear clustering trend among samples from different varieties and visually reflected the differences among the varieties.By comparing and evaluating the various spectral preprocessing and variable selection methods,multiplicative scatter correction combined with second derivative(2nd D)was determined to be the optimal preprocessing method.Furthermore,a support vector machine(SVM)model was established for classification and prediction.The results showed that the SVM model exhibited excellent classification performance and high predictive accuracy,with an accuracy of 100%for the training set and 98.2%for the test set,indicating that the established model possessed good recognition ability and generalization performance.These findings demonstrated that ATR-FTIR combined with chemometric methods can effectively distinguish different varieties of Chrysanthemum morifolium Ramat.from Bozhou.Compared with traditional identification methods,this method has the advantages of simple operation,rapid analysis,high efficiency,and accurate and reliable results.Therefore,this study provided a new technical method and theoretical basis for the identification of chrysanthemum varieties and quality evaluation of Chrysanthemum morifolium Ramat.from Bozhou.

荣百玲;范成龙;朱倩;陈寅;卓园园;崔雪娇;张小倩;徐倩;胡云飞

江苏省人民医院宿迁医院,江苏宿迁 223800江苏省人民医院宿迁医院,江苏宿迁 223800江苏省人民医院宿迁医院,江苏宿迁 223800江苏省人民医院宿迁医院,江苏宿迁 223800江苏省人民医院宿迁医院,江苏宿迁 223800亳州学院安徽省现代中药产业共性技术研究中心,安徽亳州 236800亳州学院安徽省现代中药产业共性技术研究中心,安徽亳州 236800安徽中医药大学第二附属医院,安徽 合肥 230061亳州学院安徽省现代中药产业共性技术研究中心,安徽亳州 236800

化学化工

菊花ATR-FTIR化学计量学品种鉴别质量评价

Chrysanthemum morifoliumATR-FTIRchemometricsvariety identificationquality evaluation

《化学试剂》 2026 (5)

68-75,8

国家重点研发计划项目(2023YFC3504105)2024年安徽省质量工程项目(2024sysx033)安徽省大学生创新创业训练计划项目(202412926026,S202512926049).

10.13822/j.cnki.hxsj.2026.0058

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