不同类别白菜傅立叶变换红外光谱判别研究

[目的]利用傅立叶变换红外光谱（FTIR）技术对不同类别的白菜进行判别区分分析.[方法]将不同类别的白菜打浆处理,经冷冻真空干燥后结合FTIR技术对白菜溴化钾压片扫描,对中红外光谱数据进行DA聚类判别分析,并对模拟甲醛白菜样品做预测判别分析.[结果]试验得出,30个普通白菜、78个绿色白菜及30个模拟甲醛处理白菜建模样品能有效地聚类分布在不同区域;预测4个模拟甲醛处理的白菜样品都能准确判别分布在甲醛白菜范围内,准确率超过95％.[结论]利用FTIR技术结合光谱数据的DA判别分析,能较准确地对普通白菜、绿色白菜、模拟甲醛处理白菜进行区分分析,并对抽样验证甲醛白菜的类别进行准确预测判别.

Application of FTIR for Discriminant Analysis of Different Chinese Cabbages

[Objective] To study a method for discriminate the different types of Chinese cabbages by Fourier Transform infrared spectroscopy.[Method] After the different types of Chinese cabbages were homogenated and then freeze-dried under vacuum,FTIR scan technology was applied to the KBr tablets of Chinese cabbages.The data of FTIR were analyzed via discriminant cluster analysis and the Chinese cabbage samples dealt with formaldehyde were distinguished.[Result] Due to research,it was shown that 30 samples of ordinary cabbages,75 samples of green cabbages,and 30 samples of cabbages dealt of formaldehyde as the model data can be well distributed in three different areas respectively.Furthermore,the 4 samples of cabbages dealt of formaldehyde for prediction of type were judged correctly.The accuracy rate was more than 95％.[Conclusion] Combining FTIR technology with DA discriminant analysis for data,the ordinary,green and formaldehyde cabbages can be distinguished accurately as a model and the type of cabbage dealt of formaldehyde was predicted correctly.