title: Vis-NIR hyperspectral imaging in visualizing moisture distribution of mango slices during microwave-vacuum drying.
abstract: Mango slices were dried by microwave-vacuum drying using a domestic microwave oven equipped with a vacuum desiccator inside. Two lab-scale hyperspectral imaging (HSI) systems were employed for moisture prediction. The Page and the Two-term thin-layer drying models were suitable to describe the current drying process with a fitting goodness of R(2)=0.978. Partial least square (PLS) was applied to correlate the mean spectrum of each slice and reference moisture content. With three waveband selection strategies, optimal wavebands corresponding to moisture prediction were identified. The best model RC-PLS-2 (Rp(2)=0.972 and RMSEP=4.611%) was implemented into the moisture visualization procedure. Moisture distribution map clearly showed that the moisture content in the central part of the mango slices was lower than that of other parts. The present study demonstrated that hyperspectral imaging was a useful tool for non-destructively and rapidly measuring and visualizing the moisture content during drying process.
authors.affiliation: Food Refrigeration and Computerized Food Technology (FRCRT), School of Biosystems Engineering, University College Dublin, National University of Ireland, Agriculture and Food Science Centre, Belfield, Dublin 4, Ireland.
authors.forename: Yuan-Yuan
authors.initials: YY
authors.lastname: Pu
authors.affiliation: Food Refrigeration and Computerized Food Technology (FRCRT), School of Biosystems Engineering, University College Dublin, National University of Ireland, Agriculture and Food Science Centre, Belfield, Dublin 4, Ireland. Electronic address: dawen.sun@ucd.ie.
authors.forename: Da-Wen
authors.initials: DW
authors.lastname: Sun
mesh_terms: D002138:Calibration; D003890:Desiccation; D005511:Food Handling / Q000379:methods*; D016018:Least-Squares Analysis; D031022:Mangifera / Q000737:chemistry*; D008872:Microwaves; D008962:Models, Theoretical; D013057:Spectrum Analysis; D014618:Vacuum; D014867:Water / Q000032:analysis
chemical_list: D014867:Water
keywords: Hyperspectral imaging; Mango; Microwave-vacuum drying; Moisture content; Visualization; Wavelength selection