Evaluation of Visible-short wave near infrared (Vis-SWNIR) spectroscopy for measurement of water content and sucrose concentration in porous fibrous material: Case study on sugarcane bagasse

Authors

1 Department of Biosystems Engineering, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran

2 Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran

3 Khuzestan Sugarcane and By-products Development Research and Training Institute, Ahvaz, Iran

4 Mechanics of Biosystems Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Iran

Abstract

The use of spectrophotometers in the range of visible to short-wave near infrared (Vis-SWNIR) is of interest for researchers as a fast and low-cost method to measure moisture and sugar concentration in food and agricultural products. The aim of this study is to evaluate Vis-SWNIR reflectance spectroscopy for measuring moisture content and sucrose concentration in porous fibrous materials with a case study on sugarcane bagasse. In order to increase the interaction area between the light and sample and to increase the signal-to-noise ratio, a lighting chamber with two 50 W halogen lamps was made and evaluated in comparison with lighting through the spectrophotometer lamp with optical fiber in the wavelength range of 400-1100 nm. In the first step, 48 samples were prepared and measured by adding different amounts of water-sucrose solution to ground wheat straw. Multivariate partial least square regression (PLSR) method was used to develop prediction models for moisture and sucrose concentration of the samples. Validation of PLSR prediction model using halogen lamp lighting method, showed stronger prediction of moisture content (R2=0.88, RMSE=3.3 and RPD=3.07) and sucrose concentration (R2=0.78, RMSE=3.95 and RPD = 2.25) as compared to lighting with optical fiber. Evaluation results on 50 sugarcane bagasse samples for moisture content (R2=0.72, RMSE=0.28 and RPD=0.96) and sucrose concentration (R2=0.44, RMSE=0.27 and RPD=1.01) showed a weaker predictive power, which could be due to the non-uniform texture of bagasse samples compared to straw and the limited range of moisture and sucrose variations.

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Main Subjects

Agricultural Mechanization
Volume 9, Issue 2
September 2024

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History

  • Receive Date: 26 May 2024
  • Revise Date: 14 September 2024
  • Accept Date: 06 October 2024

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