食品与机械2016，Vol.32Issue(12)：45-49,5.DOI:10.13652/j.issn.1003-5788.2016.12.010
结合数据融合技术与近红外光谱的休闲苹果脆片综合品质评价
Quality assessment of apple chips based on data fusion processing and NIRS method
摘要
Abstract
In this study,five quality indicators,i.e.moisture,soluble solid content,total sugar content,titratable acid content and hard-ness,of apple chips during processing period were analyzed by ana-lytic hierarchy process, and quality scores was obtained.Near infrared spectroscopy (NIRS)combined with partial least-squares discriminant analysis (PLS-DA)was applied for the prediction of quality scores of apple chips.The results showed that the correlation coefficients between predicted category variable of calibration and the measured category variable were 0.84,0.63 and 0.89,and the root mean square error of cross validation were 0.26,0.34 and 0.22 for each quality category,respectively.The discrimination accuracy for this model were found 83.33%,80% and 93.33%.Thus,this sug-gested that NIRS combined with PLS-DA method was a potential way to assess quality of apple chips processing period.关键词
苹果脆片/数据融合/近红外/品质评价Key words
apple chips/data fusion processing/NIR/quality assess-ment引用本文复制引用
管骁,饶立,刘静,匡静云..结合数据融合技术与近红外光谱的休闲苹果脆片综合品质评价[J].食品与机械,2016,32(12):45-49,5.基金项目
上海市自然科学基金(编号:14ZR1419200) （编号:14ZR1419200）
