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| Identification of Pulps by Near Infrared Spectroscopy Based on SIMCA Model |
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| DOI：10.11980/j.issn.0254-508X.2011.07.005 |
| Key Words:near infrared spectroscopy soft independent modeling of class analogy (SIMCA) raw materials of pulp pattern recognition |
| Fund Project:江苏省制浆造纸科学与技术重点实验室开放基金项目（编号：200909）。 |
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| Abstract:A method was developed for identification of paper fibers with near infrared spectroscopy (NIRS) technology and soft independent modeling of class analogy (SIMCA) pattern recognition. Ninety samples of four kinds of pulp including eucalyptus pulp, wheat straw pulp（bleached and unbleached）, cotton pulp and slash pine pulp were collected, which were prepared to the sheet samples with various basis weight, and some of eucalyptus pulp were added chemical additives. The NIRS of samples were measured. Sixty samples were chosen as calibration set to establish SIMCA class model and thirty samples as predicting set to verify the model. Results showed that every kind of pulp could be successfully identified by the established model without any influence of basis weight and chemical additives, which provides the rapid and accurate identification for raw materials of pulps. |
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