ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

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 preprocessing 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 RP was 0.8528, RMSEP was 0.0360, RC was 0.8783, and RMSEC was 0.0330. The results provided references for the detection of trace components by hyperspectral technology.