Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development

Guthrie, J. A., Walsh, K. B., Reid, D. J. and Liebenberg, C. J. (2005) Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development. Australian Journal of Agricultural Research, 56 4: 405-416. doi:10.1071/AR04257


Author Guthrie, J. A.
Walsh, K. B.
Reid, D. J.
Liebenberg, C. J.
Title Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development
Journal name Australian Journal of Agricultural Research   Check publisher's open access policy
ISSN 0004-9409
1836-0947
1836-5795
Publication date 2005
Sub-type Article (original research)
DOI 10.1071/AR04257
Volume 56
Issue 4
Start page 405
End page 416
Total pages 12
Place of publication Collingwood, Vic., Australia
Publisher CSIRO Publishing
Language eng
Formatted abstract
The utility of near infrared spectroscopy as a non-invasive technique for the assessment of internal eating quality parameters of mandarin fruit (Citrus reticulata cv. Imperial) was assessed. The calibration procedure for the attributes of TSS (total soluble solids) and DM (dry matter) was optimised with respect to a reference sampling technique, scan averaging, spectral window, data pre-treatment (in terms of derivative treatment and scatter correction routine) and regression procedure. The recommended procedure involved sampling of an equatorial position on the fruit with 1 scan per spectrum, and modified partial least squares model development on a 720–950-nm window, pre-treated as first derivative absorbance data (gap size of 4 data points) with standard normal variance and detrend scatter correction. Calibration model performance for the attributes of TSS and DM content was encouraging (typical Rc2 of >0.75 and 0.90, respectively; typical root mean squared standard error of calibration of <0.4 and 0.6%, respectively), whereas that for juiciness and total acidity was unacceptable. The robustness of the TSS and DM calibrations across new populations of fruit is documented in a companion study.
Keyword Spectral window
Non-invasive
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Crop and Pasture Science (since 2009), ISSN 1836-0947; 1836-5795

Document type: Journal Article
Sub-type: Article (original research)
Collections: ERA 2012 Admin Only
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