近红外光谱法在卷烟制丝质量稳定性控制中的应用  

Application of Near Infrared Spectroscopy in Quality Stability Control of Cigarette Processing

作　　者：陶鹰[1] 党立志[1] 刘娟[1] 刘亚[1] 李青青[2] 陈兴[1] 

机构地区：[1]红云红河烟草(集团)有限责任公司技术中心 [2]云南师范大学生命科学学院,昆明市650092

出　　处：《光谱实验室》2013年第1期27-32,共6页Chinese Journal of Spectroscopy Laboratory

基　　金：云南中烟工业公司资助项目(No.2011CP02);国家自然科学基金项目(No.NSFC31160432)

摘　　要：应用傅里叶变换近红外(FT-NIR)光谱分析技术结合相似度匹配的定性分析方法,以来自红河(V8)、云烟(软珍品)和红山茶(软)3个牌号在制烟丝样品的近红外反射光谱数据为基础,利用TQ统计软件分别建立以上牌号在制烟丝的相似度匹配鉴别模型,并对建模参数和模型的预测效果进行了评价。结果表明,红河(V8)、云烟(软珍品)和红山茶(软)3个牌号的烟丝模型对模型样品预测的相似度匹配值(SMV)均在90以上,而对非模型样品预测的SMV均较低,说明烟丝质量若发生变化,就可以通过近红外光谱分析技术结合相似的匹配分析很好反映出来。因此,应用FT-NIR光谱分析技术可以对在制烟丝进行快速和大批量检测,为卷烟加工质量控制提供了新的思路和方法。Combining Fourier transform near infrared spectroscopy（FT-NIR） with qualitative analysis of similarity-match,similarity-match identifying models were established respectively by the TQ statistical software based on the NIR reflection spectra of cut tobacco samples of 3 brands, including Honghe（V8）,Yunyan（Soft Rarity）,Hongshancha（Soft）.Established parameters and predicted effects of models were evaluated.Results showed that the similarity match value（SMV） of models samples by the models of 3 brands were more than 90,while of the non-model samples were very low.It meant that the application of FT-NIR spectroscopy combining with the qualitative analysis method of similarity-match could reflect the quality changes of cut tobacco.Therefore,the application of FT-NIR spectroscopy could rapidly and largely identify the cut tobacco,and provided new ideas and methods to control the quality of the cut tobacco.

关 键 词：近红外光谱 质量控制 相似度匹配 烟丝 

分 类 号：TS474[农业科学—烟草工业] O657.33[理学—分析化学]