Visible and shortwave near infrared spectroscopy to predict sugarcane quality from clear and raw juice samples

Nawi, N. M. and Chen, G. and Jensen, T. (2013) Visible and shortwave near infrared spectroscopy to predict sugarcane quality from clear and raw juice samples. In: 3rd Malaysian Postgraduate Conference (MPC 2013), 4-5 Jul 2013, Sydney, Australia.

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Abstract

The feasibility of using visible and shortwave near infrared (Vis/SWNIR) spectroscopy to predict soluble solids content (brix) and sucrose content (pol) from sugarcane juice samples was assessed. A total of 96 sugarcane juice samples for each clear and raw juice samples were used. The spectral measurements were collected by scanning the juice samples in a cuvette with 1 mm path length using transmittance mode. Principal component analysis (PCA) and partial least squares (PLS) analysis were used to interpret the spectra and develop both calibration and prediction models. The prediction performances for the clear juice samples were good with coefficient of determination (R2) values of brix and pol were 0.85 and 0.87, respectively. For the raw juice samples, the prediction performances were acceptable with R2 values for brix and pol were 0.72 and 0.75, respectively. The overall results indicated that the Vis/SWNIR spectroscopy combined with PLS models could be applied to predict sugarcane quality from both clear and raw sugarcane juices.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: This proceedings are open to public.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 02 Sep 2013 04:18
Last Modified: 13 Jun 2017 00:14
Uncontrolled Keywords: visible and shortwave near infrared spectroscopy; sugarcane; quality; raw juice; clear juice
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling
02 Physical Sciences > 0205 Optical Physics > 020503 Nonlinear Optics and Spectroscopy
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070303 Crop and Pasture Biochemistry and Physiology
Socio-Economic Objective: B Economic Development > 82 Plant Production and Plant Primary Products > 8203 Industrial Crops > 820304 Sugar
URI: http://eprints.usq.edu.au/id/eprint/23998

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