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Agronomy
Volume 15
Issue 2
10.3390/agronomy15020302
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Article

Research on the Multiple Linear Regression Model of Color Difference and Physicochemical Properties of Thermal Treated Biomass

by
Lei Song
1,2,
Yuanna Li
1,2,
Tingzhou Lei
1,2,
Yantao Yang
1,2,*,
Yilin Shen
1,2 and
Hesheng Zheng
3
1
Institute of Urban and Rural Mining, Changzhou University, Changzhou 213164, China
2
Changzhou Key Laboratory of Biomass Green, Safe & High Value Utilization Technology, Changzhou 213164, China
3
M.I.P Technology (Changzhou) Co., Ltd., Changzhou 213164, China
*
Author to whom correspondence should be addressed.
Agronomy 2025, 15(2), 302; https://doi.org/10.3390/agronomy15020302
Submission received: 7 January 2025 / Revised: 20 January 2025 / Accepted: 24 January 2025 / Published: 25 January 2025
(This article belongs to the Section Agricultural Biosystem and Biological Engineering)
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Abstract

This study assesses the relationship between the color changes and physicochemical properties of thermally treated biomass feedstocks, using colorimetric measurements to study the color difference values of straw, forest, and grass undergoing thermal treatments at 120~200 °C. We establish a multiple linear regression model to correlate the physicochemical properties of the treated solid products with three-dimensional color coordinates (L*, a*, b*). The results indicate that as the treatment temperature increases, the color difference (∆Eab*) value also increases. Meanwhile, the number of conjugated structures in the chromophore groups increases, causing the color of the solid products to tend toward black. The ash, volatile, fixed carbon, carbon, hydrogen, oxygen, nitrogen, higher calorific value, solid yield, energy yield, bulk density, and water contact angle of the thermally treated biomass feedstocks have a statistical measure of R2 ≥ 0.90 with the three-dimensional color coordinates, indicating a good correlation. Therefore, it is possible to quickly predict the basic physicochemical properties of thermally treated biomass feedstocks based on their surface color, providing a theoretical basis for the rapid quality assessment of solid products using CIELAB color changes in industrial applications.
Keywords: thermal treatment; physicochemical property; color difference grading; multiple linear regression; quality identification thermal treatment; physicochemical property; color difference grading; multiple linear regression; quality identification

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MDPI and ACS Style

Song, L.; Li, Y.; Lei, T.; Yang, Y.; Shen, Y.; Zheng, H. Research on the Multiple Linear Regression Model of Color Difference and Physicochemical Properties of Thermal Treated Biomass. Agronomy 2025, 15, 302. https://doi.org/10.3390/agronomy15020302

AMA Style

Song L, Li Y, Lei T, Yang Y, Shen Y, Zheng H. Research on the Multiple Linear Regression Model of Color Difference and Physicochemical Properties of Thermal Treated Biomass. Agronomy. 2025; 15(2):302. https://doi.org/10.3390/agronomy15020302

Chicago/Turabian Style

Song, Lei, Yuanna Li, Tingzhou Lei, Yantao Yang, Yilin Shen, and Hesheng Zheng. 2025. "Research on the Multiple Linear Regression Model of Color Difference and Physicochemical Properties of Thermal Treated Biomass" Agronomy 15, no. 2: 302. https://doi.org/10.3390/agronomy15020302

APA Style

Song, L., Li, Y., Lei, T., Yang, Y., Shen, Y., & Zheng, H. (2025). Research on the Multiple Linear Regression Model of Color Difference and Physicochemical Properties of Thermal Treated Biomass. Agronomy, 15(2), 302. https://doi.org/10.3390/agronomy15020302

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