Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy
In the textile industry, the deviation between the actual content of cashmere fibers and the standard content has a significant impact on product pricing. Conventional testing methods are plagued by long cycles and complex procedures. Therefore, how to quickly and accurately measure the blending rat...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Journal of Natural Fibers |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/15440478.2025.2532146 |
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| _version_ | 1849467791970664448 |
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| author | Xin Chen Fang Wang Yaolin Zhu Jinni Chen |
| author_facet | Xin Chen Fang Wang Yaolin Zhu Jinni Chen |
| author_sort | Xin Chen |
| collection | DOAJ |
| description | In the textile industry, the deviation between the actual content of cashmere fibers and the standard content has a significant impact on product pricing. Conventional testing methods are plagued by long cycles and complex procedures. Therefore, how to quickly and accurately measure the blending ratio of fibers has become a key challenge in the field of fiber testing. This paper combines Near Infrared (NIR) spectroscopy technology with an improved Extreme Gradient Boosting algorithm to perform quantitative analysis on wool fiber samples from different origins. After preprocessing the spectra using maximum–minimum normalization, a model is established based on the successive projection algorithm to select wavelengths. Validation results indicate that this model significantly can improve prediction accuracy and reduce operation time, providing a convenient, rapid, and efficient method for distinguishing between cashmere and wool content. |
| format | Article |
| id | doaj-art-e98f88107dc64b0f81dcd1bd62f5ae67 |
| institution | Kabale University |
| issn | 1544-0478 1544-046X |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Natural Fibers |
| spelling | doaj-art-e98f88107dc64b0f81dcd1bd62f5ae672025-08-20T03:26:04ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2025-12-0122110.1080/15440478.2025.2532146Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR SpectroscopyXin Chen0Fang Wang1Yaolin Zhu2Jinni Chen3School of Electronics Information, Xi’an Polytechnic University, Xi’an, Shaanxi, ChinaSchool of Electronics Information, Xi’an Polytechnic University, Xi’an, Shaanxi, ChinaSchool of Electronics Information, Xi’an Polytechnic University, Xi’an, Shaanxi, ChinaSchool of Electronics Information, Xi’an Polytechnic University, Xi’an, Shaanxi, ChinaIn the textile industry, the deviation between the actual content of cashmere fibers and the standard content has a significant impact on product pricing. Conventional testing methods are plagued by long cycles and complex procedures. Therefore, how to quickly and accurately measure the blending ratio of fibers has become a key challenge in the field of fiber testing. This paper combines Near Infrared (NIR) spectroscopy technology with an improved Extreme Gradient Boosting algorithm to perform quantitative analysis on wool fiber samples from different origins. After preprocessing the spectra using maximum–minimum normalization, a model is established based on the successive projection algorithm to select wavelengths. Validation results indicate that this model significantly can improve prediction accuracy and reduce operation time, providing a convenient, rapid, and efficient method for distinguishing between cashmere and wool content.https://www.tandfonline.com/doi/10.1080/15440478.2025.2532146Near infraredsuccessive projection algorithmwavelength selectionquantitative analysisimproved extreme gradient boostingcashmere |
| spellingShingle | Xin Chen Fang Wang Yaolin Zhu Jinni Chen Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy Journal of Natural Fibers Near infrared successive projection algorithm wavelength selection quantitative analysis improved extreme gradient boosting cashmere |
| title | Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy |
| title_full | Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy |
| title_fullStr | Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy |
| title_full_unstemmed | Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy |
| title_short | Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy |
| title_sort | rapid qualitative analysis of cashmere and wool mixed content based on improved xgboost and spa using nir spectroscopy |
| topic | Near infrared successive projection algorithm wavelength selection quantitative analysis improved extreme gradient boosting cashmere |
| url | https://www.tandfonline.com/doi/10.1080/15440478.2025.2532146 |
| work_keys_str_mv | AT xinchen rapidqualitativeanalysisofcashmereandwoolmixedcontentbasedonimprovedxgboostandspausingnirspectroscopy AT fangwang rapidqualitativeanalysisofcashmereandwoolmixedcontentbasedonimprovedxgboostandspausingnirspectroscopy AT yaolinzhu rapidqualitativeanalysisofcashmereandwoolmixedcontentbasedonimprovedxgboostandspausingnirspectroscopy AT jinnichen rapidqualitativeanalysisofcashmereandwoolmixedcontentbasedonimprovedxgboostandspausingnirspectroscopy |