Assessment of cellulose structural variety from different origins using near infrared spectroscopy

Horikawa, Yoshiki

doi:10.1007/s10570-017-1518-0

Cited by 18 publications

(4 citation statements)

References 34 publications

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“…The recognition rate and rejection rate refer to the number of samples in and out the area of the model. PCR and PLS are both data description and dimension reduction methods, 30,31 which are widely used to deal with large datasets, such as spectra data. The performance of established models is evaluated using two prime parameters, which are the correlation coefficient (R 2 ) and the root mean square error of prediction (RMSEP).…”

Section: Spectral Pretreatment and Classification Methodsmentioning

confidence: 99%

Rapid identification of plant- and chemical-dyed cotton fabrics using the near-infrared technique

Han

Jiang

et al. 2020

Textile Research Journal

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Plant dye is a promising dyestuff to be used in textiles due to its unique environmental compatibility. However, currently there is no effective method for the identification of plant-dyed and chemical-dyed textiles. In this study, near-infrared (NIR) spectroscopy combined with three kinds of pattern recognition methods, namely soft independent modeling of class analogy (SIMCA), partial least squares (PLS) regression and principal component regression (PCR), were applied to identify cotton fabrics dyed with plant and chemical dyes. A total of 336 plant dye and chemical dye dyed cotton fabrics were prepared and the NIR spectra were collected; 267 samples were used as the calibration set, while the remaining 69 samples were used as the validation set. After pretreatment with the Savitzky–Golay first derivative, the calibration model was constructed. In the SIMCA model, the correct recognition rate values of the calibration and prediction sets were 100% and 98.55%, respectively. The PLS model showed that the number of principal components (PCs) and the correlation coefficient ( R2) were 8 and 0.9978, respectively, and the results of PCR were PC = 10, R2 = 0.9937. Both methods were satisfactory for the predicted results. The overall results indicated that NIR spectroscopy could be used for rapid and nondestructive identification of plant-dyed cotton fabrics and chemical-dyed cotton fabrics.

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Section: Spectral Pretreatment and Classification Methodsmentioning

confidence: 99%

Rapid identification of plant- and chemical-dyed cotton fabrics using the near-infrared technique

Han

Jiang

et al. 2020

Textile Research Journal

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“…Furthermore, separate synthetic genes were found to be involved, thus indicating that crystal structure formation is molecularly regulated in this animal. More recently, nearinfrared spectroscopy [21] and terahertz time-domain spectroscopy [22] have been employed to evaluate cellulose structure in terms of its allomorphs.…”

Section: Crystalline Allomorphs and Their Diversitymentioning

confidence: 99%

Structural diversity of natural cellulose and related applications using delignified wood

Horikawa

2022

J Wood Sci

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Cellulose is synthesized by organisms belonging to each biological kingdom, from bacteria to terrestrial plants, leading to its global-scale distribution. However, the structural properties of cellulose, such as its microfibril size, crystal form, cross-sectional shape, and uniplanar orientation, vary among species. This mini-review discusses the structural properties and diversity of cellulose. After describing historical developments in the structural analysis of cellulose, the technique of intracrystalline deuteration and rehydrogenation to understand structural diversity—particularly the localization of crystalline allomorphs in single microfibril—is discussed. Furthermore, the development of cellulose materials that maintain hierarchical structures of wood is introduced, and methods for producing functional materials are presented.

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“…Wood blocks subjected to a two-step chemical treatment were cut into surface and core parts. The cellulose sample purified from wood powder using a conventional method for lignified samples (Horikawa 2017) was also prepared as a control. The block fractions and the cellulose sample were dissolved in 0.5 mol/L bis(ethylenediamine)copper(II) hydroxide solution.…”

Section: Dp V Measurementmentioning

confidence: 99%

Effects of orientation and degree of polymerization on tensile properties in the cellulose sheets using hierarchical structure of wood

et al. 2021

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Structural control is essential for further development of cellulosic materials. Here, we demonstrated the significance of the orientation and degree of polymerization in the integrated structure of cellulose microfibrils using sheets based on the hierarchical structure of wood. Non-cellulosic components were removed from wood blocks of a conifer by applying a two-step chemical treatment. Partially changing the treatment conditions generated cellulose blocks with varying degrees of polymerization while maintaining the anatomical structure. Cellulose sheets with oriented microfibrils were subsequently prepared by heat-pressing the blocks. Sheets with randomized appearance of orientation were also produced by disassembling tracheid alignment. These sheets were then subjected to structural evaluation and tensile tests. Comparison of both sheets showed that microfibril orientation mainly determined the modulus. As long as the orientation was maintained, the specific modulus was independent of the degree of polymerization. In contrast, the tensile strength of the oriented sheet varied with the degree of polymerization, indicating that it notably reflected the single fiber strength compared to the randomly oriented sheet. Hence, a highly oriented structure with unfragmented microfibrils is the determinant of a superior material. Consequently, the sheets in which these parameters are readily controlled can advance cellulose applications.

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Assessment of cellulose structural variety from different origins using near infrared spectroscopy

Cited by 18 publications

References 34 publications

Rapid identification of plant- and chemical-dyed cotton fabrics using the near-infrared technique

Rapid identification of plant- and chemical-dyed cotton fabrics using the near-infrared technique

Structural diversity of natural cellulose and related applications using delignified wood

Effects of orientation and degree of polymerization on tensile properties in the cellulose sheets using hierarchical structure of wood

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