Evaluating drying feature differences between ginger slices and splits during microwave-vacuum drying by hyperspectral imaging technique

被引:57
作者
Lin, Xiaohui [1 ]
Xu, Jun-Li [1 ]
Sun, Da-Wen [1 ]
机构
[1] Natl Univ Ireland, Univ Coll Dublin UCD, Sch Biosyst & Food Engn,Agr & Food Sci Ctr, Food Refrigerat & Computerized Food Technol FRCFT, Dublin 4, Ireland
关键词
Moisture distribution; SEM; Shrinkage; Partial least squares regression; Rehydration; MOISTURE-CONTENT UNIFORMITY; ANTIOXIDANT CAPACITY; MULTIVARIATE-ANALYSIS; NONINVASIVE DETECTION; GENETIC ALGORITHM; REHYDRATION; PREDICTION; VISUALIZATION; ADULTERATION; QUALITY;
D O I
10.1016/j.foodchem.2020.127407
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
This study aimed to investigate the difference between ginger slices (vertically cut) and splits (horizontally cut) during microwave-vacuum drying (MVD) procedures. MVD ginger slices showed a higher shrinkage rate and a higher hardness value, with a more porous structure of the surface layer. MVD ginger splits had higher rehydration rates at the first 15 min of the rehydration. Nine optimal wavelengths were selected by regression coefficients (RC) from the partial least squares regression (PLSR) model based on the raw data. A simplified PLSR model based on optimal wavelengths showed a good performance with a coefficient of determination in prediction (R-p(2)) of 0.973 and a root mean square error in prediction (RMSEP) of 4.63%. Texture features of grey level co-occurrence matrix (GLCM) of moisture prediction maps demonstrated a more uniform moisture distribution in MVD ginger slices than that in splits in the original geometry.
引用
收藏
页数:10
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