Hyperspectral imaging for the investigation of quality deterioration in sliced mushrooms (Agaricus bisporus) during storage

被引：46

作者：

Gowen A.A. ^{[1
]}

O'Donnell C.P. ^{[1
]}

Taghizadeh M. ^{[1
]}

Gaston E. ^{[2
]}

O'Gorman A. ^{[2
]}

Cullen P.J. ^{[2
]}

Frias J.M. ^{[2
]}

Esquerre C. ^{[3
]}

Downey G. ^{[3
]}

机构：

[1] Department of Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin

[2] School of Food Science and Environmental Health, Dublin Institute of Technology, Dublin 1, Cathal Brugha Street

[3] Teagasc Ashtown Food Research Centre, Ashtown

来源：

Sensing and Instrumentation for Food Quality and Safety | 2008年 / 2卷 / 3期

关键词：

Agaricus; Bisporus; Hyperspectral; Mushroom; Slice;

D O I：

10.1007/s11694-008-9042-4

中图分类号：

学科分类号：

摘要：

In this study, the potential application of hyperspectral imaging (HSI) for quality prediction of white mushroom slices during storage at 4 °C and 15 °C was investigated. Mushroom slice quality was measured in terms of moisture content, colour (CIE Lightness, L* and yellowness, b*) and texture (hardness, H and chewiness, Ch). Hyperspectral images were obtained using a pushbroom line-scanning HSI instrument, operating in the wavelength range of 400-1,000 nm with spectroscopic resolution of 5 nm. Multiple linear regression (MLR) and Principal Component Regression (PCR) models were developed to investigate the relationship between reflectance and the various quality parameters measured. 20 optimal wavelengths for quality prediction were selected after performing an exhaustive search for the best subsets of predictor variables on a calibration set of 84 samples. PCR applied to the set of optimal wavelengths gave the best performance as compared to MLR and PCR on the entire wavelength range. When applied to an independent validation set of samples, PCR models developed on the calibration set were capable of predicting moisture content with RMSEP of 0.74% w.b. and R 2 of 0.75, L* with RMSEP of 0.47 and R 2 of 0.95, b* R 2 of 0.75, H with RMSEP of 0.49 N and R 2 of 0.77 and Ch with RMSEP of 0.27 N and R 2 of 0.72. Virtual images showing the distribution of moisture content on the mushroom surface were generated from the estimated PCR model. Results from this study could be used for the development of a non-destructive monitoring system for prediction of sliced mushroom quality. © Springer Science+Business Media, LLC 2008.

引用

页码：133 / 143

页数：10

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