title: Classification and Identification of Plant Fibrous Material with Different Species Using near Infrared Technique-A New Way to Approach Determining Biomass Properties Accurately within Different Species.
abstract: Plant fibrous material is a good resource in textile and other industries. Normally, several kinds of plant fibrous materials used in one process are needed to be identified and characterized in advance. It is easy to identify them when they are in raw condition. However, most of the materials are semi products which are ground, rotted or pre-hydrolyzed. To classify these samples which include different species with high accuracy is a big challenge. In this research, both qualitative and quantitative analysis methods were chosen to classify six different species of samples, including softwood, hardwood, bast, and aquatic plant. Soft Independent Modeling of Class Analogy (SIMCA) and partial least squares (PLS) were used. The algorithm to classify different species of samples using PLS was created independently in this research. Results found that the six species can be successfully classified using SIMCA and PLS methods, and these two methods show similar results. The identification rates of kenaf, ramie and pine are 100%, and the identification rates of lotus, eucalyptus and tallow are higher than 94%. It is also found that spectra loadings can help pick up best wavenumber ranges for constructing the NIR model. Inter material distance can show how close between two species. Scores graph is helpful to choose the principal components numbers during the model construction.
authors.affiliation: Laboratory of New Fiber Materials and Modern Textile, The Growing Base for State Key Laboratory, Qingdao UniversityQingdao, China; College of Textiles, Qingdao UniversityQingdao, China; Forest Products Development Center, Auburn UniversityAuburn, AL, USA.
authors.forename: Wei
authors.initials: W
authors.lastname: Jiang
authors.affiliation: Laboratory of New Fiber Materials and Modern Textile, The Growing Base for State Key Laboratory, Qingdao UniversityQingdao, China; Forest Products Development Center, Auburn UniversityAuburn, AL, USA.
authors.forename: Chengfeng
authors.initials: C
authors.lastname: Zhou
authors.affiliation: Laboratory of New Fiber Materials and Modern Textile, The Growing Base for State Key Laboratory, Qingdao University Qingdao, China.
authors.forename: Guangting
authors.initials: G
authors.lastname: Han
authors.affiliation: Forest Products Development Center, Auburn UniversityAuburn, AL, USA; School of Forestry and Wildlife, Auburn UniversityAuburn, AL, USA.
authors.forename: Brian
authors.initials: B
authors.lastname: Via
authors.affiliation: Institute for Commercial Forestry Research Scottsville, South Africa.
authors.forename: Tammy
authors.initials: T
authors.lastname: Swain
authors.affiliation: School of Forestry and Wildlife, Auburn University Auburn, AL, USA.
authors.forename: Zhaofei
authors.initials: Z
authors.lastname: Fan
authors.affiliation: Department of Chemistry and Physics, Troy University Troy, AL, USA.
authors.forename: Shaoyang
authors.initials: S
authors.lastname: Liu
keywords: accurate; classification; fibrous material; identification; near infrared; quantitative analysis