کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8054859 | 1519495 | 2018 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Hyperspectral imaging for the determination of potato slice moisture content and chromaticity during the convective hot air drying process
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Hyperspectral imaging (HSI) was utilised for the determination of moisture content of potato slices with three thicknesses (5 mm, 7 mm, 9 mm) at three drying temperatures (50 °C, 60 °C, 70 °C) during convective drying in a laboratory hot air dryer. The Page, thin-layer drying model was found better to explain the drying kinetics with a fitting accuracy of R2 (0.96-0.99) and lowest reduced Chi-square (0.00024-0.00090), Root mean square errors (RMSE) (0.014-0.026), and relative percentage error (1.5%-5.1%) under the used drying conditions. Spectral data were analysed using partial least squares regression (PLS) analysis, a multivariate calibration technique, alongside Monte Carlo Uninformative Variable Elimination (MCUVE-PLS) and competitive adaptive reweighted sampling (CARS-PLS). The feasibility of both moisture content and CIELAB prediction with a reduced wavelength set from the Visible near-infrared (VNIR) region (500-1000 nm) was investigated with these three models. The PLS model (R2 = 0.93-0.98, RMSE = 0.16-0.36 and the lowest number of optimal wavelengths = 6, for all drying conditions) was found suitable to implement for the moisture visualisation procedure. Potato chromaticity was also shown to be predictable during drying using a similar number of wavelengths, with PLS models for CIELAB a* performing well (R2 = 0.91-0.65, RMSE = 0.61-1.78). PLS Models for CIELAB b* more variably (R2 = 0.91-0.62, RMSE = 2.16-4.42) due to potato colour mainly varying along this axis. The current study showed that hyperspectral imaging was a useful tool for non-destructive measurement and visualisation of the moisture content and chromaticity during the drying process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 166, February 2018, Pages 170-183
Journal: Biosystems Engineering - Volume 166, February 2018, Pages 170-183
نویسندگان
Waseem Amjad, Stuart O.J. Crichton, Anjum Munir, Oliver Hensel, Barbara Sturm,