基于NIR与GC-MS技术的羽毛绒品质属性鉴定

Identification of Feather and Down Quality Based on NIR and GC-MS

羽绒种类纯正与否以及有无异味是影响羽绒品质好坏的两个重要因素。为了准确、快速地鉴定羽绒种类,本研究利用近红外光谱技术建立了一种无损快速鉴别羽绒种类的模型。同时,结合GC-MS技术鉴定分析了不同羽绒浸出物中特征气味成分。结果表明,近红外光谱显示4种羽绒种类的反射率在4000～12000 cm-1的变化趋势比较相近,且特征波段的出峰位置大体相同。经二阶导数结合矢量归一化法建立的模型,三维得分图显示可区分4种羽绒种类,其准确性、专属性均良好,提示近红外光谱法是一种快速、高效并可用于羽绒种类鉴别的方法。另外,GC-MS检测结果显示羧酸类化合物和内酯类化合物为羽绒浸出物中的主要成分,为进一步分析和鉴定羽绒中气味成分提供了理论依据。

Quality control for feather and down depends mainly on their species and peculiar smell.To establish a quick and accurate method for identification of the feather and down species,Near Infrared（NIR） Spectroscopy technology was employed.Through analyzing the near-infrared diffuse reflection spectrum,the recognition model for feather and down species was set up.At the same time,extracts from the different feather and down were measured by using the Gas chromatography-mass（GC-MS） spectroscopy analysis.The NIR results have shown that the mean spectrum of feather and down was in the 4000 to 12000 cm^-1 NIR range.By normalized and second-derivative treatments,three-D principal component score plot was established which demonstrated that all the feather and down were distinguished because of their chemical and structural difference.The result suggested the feasibility of using near infrared spectroscopy for identification of the feather and down species.In addition,GC-MS detection indicated that Carboxylic acids and Lactones are main components in the extracts.This study might provide some new clues for further investigation about down odor ingredients.