摘要
利用高光谱成像技术联合流化床富集技术对红葡萄酒中微量成分白藜芦醇的含量进行快速检测。通过高效液相色谱法检测红葡萄酒中白藜芦醇的含量,设计流化床富集装置,研究HPD826、DA-201、AB-8、H103、HPD600共5种树脂对红葡萄酒中白藜芦醇的富集效果,筛选出H103树脂富集效果最优。将H103大孔吸附树脂用于富集红葡萄酒中的白藜芦醇。获取吸附白藜芦醇后树脂的高光谱反射图像(900~1 700 nm),对比5种光谱预处理方法(MSC、SNV、SG-S、RN、QN)对白藜芦醇含量的建模效果,优选出RN预处理方法;建立PLSR、SVMR(LK-SVMR、PKSVMR、RBF-SVMR和S-SVMR)、PCR的6种回归模型,优选出LK-SVMR校正模型和PLSR校正模型,将其用于预测集样本进一步评价模型的精度和稳定性,最终确定PLSR模型为最佳模型。研究表明,基于RN-PLSR的红葡萄酒中白藜芦醇的定量预测模型相关系数R_P=0.852 8,预测集均方根误差为0.036 0,R_C=0.878 3,校正集均方根误差为0.033 0,预测效果最佳,为高光谱技术在微量、痕量成分检测方面的应用提供了参考。
A rapid detection method for reveratrol content in red wine was built by hyperspectral imaging technology combined with fluidized bed preconcentration technology. The reveratrol content in red wine was determined by high performance liquid chromatography. An enrichment apparatus of fluidized bed was built to explore the enrichment effects, which five macroreticular resins, such as HPD826, DA - 201, AB- 8, H103 and HPD600, enriched reveratrol in red wine. The result showed that H103 resin had the best enrichment effect. H103 resin was used to enrich resveratrol from wine, the 900 - 1 700 nm spectral images of resins which absorbed reveratrol were collected. Compared with five spectra preproeessing methods （MSC, SNV, SG- S, RN and QN）, RN was selected as the best method for modeling effects of resveratrol content. Then, six regression models based on PLSR, SVMR （LK - SVMR, PK- SVMR, RBF- SVMR and S- SVMR） and PCR were established. Correction models based on LK- SVMR and PLSR were selected to evaluate their accuracy and stability in prediction sets. Finally, the PLSR model was chosen as the best model. The research showed that the quantitative prediction model of resveratrol in red wine based on PLSR obtained the best prediction effect, its Re was 0. 852 8, RMSEP was 0. 036 0, Rc was 0. 878 3, and RMSEC was 0. 033 0. The results provided references for the detection of trace components by hyperspectral technology.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2017年第7期301-308,共8页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金项目(31401480)
关键词
红葡萄酒
白藜芦醇
流化床富集
快速检测
高光谱
red wine
resveratrol
fluidized bed enrichment
rapid detection
hyperspectral imaging
作者简介
刘贵珊（1979-），男，副教授，主要从事功能性食品营养与评价研究，E—mail：liugs@nxu．edu．cn
