近红外信息用于烟叶风格识别及卷烟配方研究的初步探索

Tobacco characteristics identification and blending formula study by using NIRs

以烟草特征风格的数字化鉴别为最终研究目标,使用近红外分析技术,通过烟叶产地识别的可行性研究,可知近红外光谱中具有与烟叶产地相关的信息,应用近红外进行产地识别具有技术可行性。通过烟叶近红外光谱的压缩,基于烟叶风格特征的量化分析,结合专家经验,设定特定的目标烟叶,以国内外烟叶作为可选资源,选择部分烟叶进行配伍模拟目标烟叶,通过三点法感官评吸和叶组配方试验,验证表明模拟样品具有目标烟叶的风格特征。研究结果初步表明应用近红外信息可望进行烟叶产地特征的数字化研究,并为卷烟配方提供技术辅助。

Characteristics of tobacco leaves were studied by near infrared spectra （NIRs） information and pattern recognition technology. Results showed that NIRs indicated information about growing area of the leaves. Based on NIRs data and quantified analysis of tobacco flavor style, tobacco leaves from home and abroad were selected to simulate Zimbabwe tobacco leaf. According to three points sensory evaluation the mixed samples were similar to Zimbabwe tobacco leaf. It was proved that NIRs can be used to identify tobacco growing area and improve blending formulation.