Nondestructive Measurement of the Acidity of Strawberry Based on Wavelet Transform and Partial Least Squares

Author

Shao, Yongni ; He, Yong

Author_Institution

Zhejiang Univ., Hangzhou

fYear

2007

fDate

1-3 May 2007

Firstpage

1

Lastpage

5

Abstract

Vis/Near infrared reflectance spectroscopy appears to be a rapid and convenient non-destructive technique that can measure the quality and compositional attributes of many substances. This paper assesses the ability of NIR reflectance spectroscopy to estimate the acidity of strawberry. Spectra were collected from 65 samples and data was expressed as absorbance, the logarithm of the reciprocal of reflectance (log1/R). The absorbance data was subsequently compressed using wavelet transformation. Two models to predict the acidity in strawberry were constructed. A prediction model based on Wavelet Transform (WT) combined with Partial Least Squares (PLS) was found to be superior (r=0.856, RMSEP=0.026) to model only using partial least squares.

Keywords

food products; least squares approximations; nondestructive testing; pH measurement; wavelet transforms; acidity; nondestructive measurement; partial least squares; strawberry; wavelet transform; Artificial neural networks; Calibration; Chemical analysis; Data mining; Infrared spectra; Least squares methods; Predictive models; Reflectivity; Spectroscopy; Wavelet transforms; Vis/NIR spectroscopy; partial least squares (PLS); wavelet transform (WT);

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE

Conference_Location

Warsaw

ISSN

1091-5281

Print_ISBN

1-4244-0588-2

Type

conf

DOI

10.1109/IMTC.2007.379466

Filename

4258313