近红外光谱法测定卷烟中多酚类物质含量的研究

Study on Determinating Polyphenols in Cigarette by NearInfrared Reflectance Spectroscopy

  • 摘要: 利用烟草样品的近红外漫反射光谱,通过化学计量学的方法,建立了卷烟中多酚类物质的近红外数学模型.结果表明,绿原酸、新绿原酸和芸香苷近红外数学模型外部验证的平均相对误差和变异系数(RSD)均在5%以内,说明该模型准确性和稳定性均很好,可以用来快速、准确,无污染地测定卷烟中多酚类物质含量.

     

    Abstract: In order to determinate the polyphenols content quickly in cigarette, the near infrared mathematical models of polyphenols in cigarette were founded by the near infrared reflectance spectroscopy and chemometrics. The result showed the average relative error and RSD of the model external verification of the chlorogenic acid, isochlorogenic acid and rutin were within 5% .The models were accurate and stable and could be used to determinate quickly the polyphenols components accurately in cigarette without pollution.

     

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