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| Preparation of Nanocellulose-based Dyes and Their Coloring Performance on Paper |
| Received:May 31, 2025 Revised:August 02, 2025 |
| DOI：10.11980/j.issn.0254-508X.2025.11.003 |
| Key Words:nanocellulose dyes paper chromaticity values prediction model |
| Fund Project:山东省高等学校青年创新团队项目（2023KJ330）；全国重点实验室建设重大科研专项（2025ZDGZ02）。 |
| Author Name | Affiliation | Postcode | | FU Bin* | State Key Lab of Green Papermaking and Resource Recycling, Qilu University of Technology （Shandong Academy of Sciences）, Ji’nan, Shandong Province, 250353 | 250353 | | PEI Lihua | Shandong Dingan Testing Co., Ltd., Ji’nan, Shandong Province, 250000 | 250000 | | ZHOU Rong | State Key Lab of Green Papermaking and Resource Recycling, Qilu University of Technology （Shandong Academy of Sciences）, Ji’nan, Shandong Province, 250353 | 250353 | | ZHANG Bo | State Key Lab of Green Papermaking and Resource Recycling, Qilu University of Technology （Shandong Academy of Sciences）, Ji’nan, Shandong Province, 250353 | 250353 | | ZHANG Rongjun | State Key Lab of Green Papermaking and Resource Recycling, Qilu University of Technology （Shandong Academy of Sciences）, Ji’nan, Shandong Province, 250353 | 250353 | | WANG Shengdan* | State Key Lab of Green Papermaking and Resource Recycling, Qilu University of Technology （Shandong Academy of Sciences）, Ji’nan, Shandong Province, 250353 | 250353 |
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| Abstract:Nanocellulose-based dye (ND) was prepared by bio-mechanical method using bleached softwood pulp as raw material. The dyeing performance of ND on paper was investigated. Furthermore the influence of ND addition amount on the chromaticity values of paper was analyzed， and a predictive model for dyeing effects was established. The results showed that the prepared ND with a diameter of approximately 10~25 nm and could be uniformly dispersed in water. Paper dyed via internal sizing exhibited uniform color， and ND in the wastewater settled naturally after 15 h of standing. After being rubbed 1 000 times with a 10 N force， the color difference (∆E) of the dyed paper was 0.54. The prediction model achieved the R² of 0.997， enabling it to accurately predict the impact of different additive amounts on the chromaticity values of paper. |
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