Determination of moisture content of mushrooms by Vis—NIR spectroscopy
Authors:
- 1 January 1993
- journal article
- research article
- Published by Wiley in Journal of the Science of Food and Agriculture
- Vol. 63 (3) , 355-360
Abstract
Feasibility of the determination of the moisture content of intact individual mushrooms (Agaricus bisporus) by visible and near infrared reflectance spectroscopy (Vis–NIR) was studied. The convection drying method was found to be suitable to obtain reference values for the calibration equation. The standard error of the laboratory procedure ranged from 0·16 to 0·42%. Modified partial least square regression was used to develop the calibration equations. The importance of different segments of wavelength, the effect of light scattering and the use of data processing on the prediction of moisture content were evaluated. The equation obtained using the wavelength segment 600–2200 nm with first derivative and scatter correction had the best performance with a standard error of cross‐validation of 0·64%. This equation performed very well when validated using a separate set of mushrooms of the same kind as those in calibration set. This equation, however, did not perform well when using mushrooms from a different treatment. Accuracy of prediction was re‐established by adding typical spectra from the second group of mushrooms to the calibration set and performing recalibration.Keywords
This publication has 9 references indexed in Scilit:
- Populations Structuring of Near Infrared Spectra and Modified Partial Least Squares RegressionCrop Science, 1991
- Population Definition, Sample Selection, and Calibration Procedures for Near Infrared Reflectance SpectroscopyCrop Science, 1991
- Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance SpectraApplied Spectroscopy, 1989
- Review: Near infra‐red analysis of foodInternational Journal of Food Science and Technology, 1987
- Nondestructive Spectrophotometric Determination of Dry Matter in OnionsJournal of the American Society for Horticultural Science, 1985
- Preference of cauliflower related to sensory descriptive variables by partial least squares (PLS) regressionJournal of the Science of Food and Agriculture, 1983
- The multivariate calibration problem in chemistry solved by the PLS method1983
- Near-Infrared Reflectance Determination of Fat, Protein, and Moisture in Fresh MeatJournal of AOAC INTERNATIONAL, 1981
- Cross-Validatory Estimation of the Number of Components in Factor and Principal Components ModelsTechnometrics, 1978