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

Jiang, Wei; Zhou, Chengfeng; Han, Guangting; Via, Brian K.; Swain, Tammy; Fan, Zhaofei; Liu, Shaoyang

doi:10.3389/fpls.2016.02000

Cited by 15 publications

(14 citation statements)

References 23 publications

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“…Thus, Zhou et al 6 and Liu et al 7 reported investigations of wool-cashmere blends and cotton fibers, respectively. Jiang et al 8 described the classification and identification of plant fibrous material from different species. Bamboo fibers, flax fibers and ramie fibers can also be quickly discriminated by NIR spectroscopy.…”

Section: Andmentioning

confidence: 99%

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Identification of textiles by handheld near infrared spectroscopy: Protecting customers against product counterfeiting

Yan

Siesler

2018

Journal of Near Infrared Spectroscopy

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Textiles are extremely important materials for everyday life with a broad range of applications and properties. Due to the large variations in quality on the one hand and the increasing quality awareness and price consciousness of customers on the other hand, the availability of a simple tool for a rapid test of the correct identity of the purchased textile article would be a significant progress in customer protection. Miniaturization of near infrared spectrometers has advanced to the point where handheld instruments could provide reliable and affordable means to serve this purpose. One objective of the present communication was to scrutinize the identification and discrimination performance for textile materials for four realhandheld (<200 g) near infrared spectrometers based on different monochromator principles. The second focus was to show that in the near future these handheld instruments can be used by a non-expert user community to protect themselves against fraud in textile purchase situations. For this purpose, diffuse reflection spectra of 72 textile samples of synthetic and natural origin were measured. While in simple situations, test samples can readily be authenticated by visual inspection of their near infrared spectra only, for a more comprehensive identification of unknown samples principal component analysis in combination with soft independent modeling of class analogies was applied. In the present work, this approach provided a suitable analytical tool for the correct assignment of the investigated different types of textile materials. Moreover, the evaluation of the mean Euclidian distances in the principal component analysis score plots derived from the near infrared spectra of the textile classes under investigation allowed to compare the identification performance and discrimination capability of the different handheld instruments.

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Section: Andmentioning

confidence: 99%

“…Jiang et al. 8 described the classification and identification of plant fibrous material from different species. Bamboo fibers, flax fibers and ramie fibers can also be quickly discriminated by NIR spectroscopy.…”

Section: Introductionmentioning

confidence: 99%

Identification of textiles by handheld near infrared spectroscopy: Protecting customers against product counterfeiting

Yan

Siesler

2018

Journal of Near Infrared Spectroscopy

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“…However, despite its excellent properties and various applications, it cannot not become a major textile crop, since it has been difficult to obtain high-quality fibers from ramie by conventional retting process [11,12,13]. Mohanty et al reported the chemical composition of ramie plant as 68–76% cellulose, 13–17% hemicellulose, 1.9% pectin, and 0.6–0.7% lignin [14,15]. Gum is mainly composed of pectin and hemicellulose, which is almost identical to the other report that ramie fiber contains 20–30% gum [12,16].…”

Section: Introductionmentioning

confidence: 99%

Production of Novel Polygalacturonase from Bacillus paralicheniformis CBS32 and Application to Depolymerization of Ramie Fiber

et al. 2019

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Polygalacturonase (EC. 3.2.1.15) is an enzyme that hydrolyzes the alpha-1,4 glycosidic bonds between galacturonic acid. In this study, an alkaline polygalacturonase producer Bacillus paralicheniformis CBS32 was isolated from kimchi (conventional Korean fermented food). The 16S rRNA sequence analysis of the isolated strain revealed that it was 99.92% identical to B. paralicheniformis KJ 16LBMN01000156. The polygalacturonase from B. paralicheniformis CBS32 was named PN32, and the purified PN32 showed a 16.8% yield and a 33-fold purity compared to the crude broth. The molecular mass, 110 kDa, was determined by SDS-PAGE, and the active band was confirmed by zymography analysis. The N-terminal amino acid sequence residues of PN32 were determined to be Gly–Val–Lys–Glu–Val–X–Gln–Thr–Phe. In the sequence comparison, PN32 was suggested as a novel polygalacturonase, since the sequence was not matched with the previous reports. In an application study, enzymatic depolymerization of ramie was performed for fiber degumming, and the result showed that the PN32 had a 28% higher depolymerization compared to the commercial pectinase. Overall, based on the results, PN32 has high potential for industrial applications.

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“…Depletion of petroleum resources encouraged the researchers to explore the potential use of plant fiber as an alternative natural reinforcement to polymeric composites. Natural fibrous material is a potential resource in textile and other industries (Jiang et al, 2017). As researchers focused on green composites, more number of researches focused on replacement of synthetic fibers with natural fibers.…”

Section: Introductionmentioning

confidence: 99%

Selection of Natural Fiber for Hybrid Kevlar/Natural Fiber Reinforced Polymer Composites for Personal Body Armor by Using Analytical Hierarchy Process

et al. 2018

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Kevlar 29 is the most widely used synthetic fiber for body armor applications and they have been derived from petroleum based resources. Depletion of petroleum resources and the increase in awareness about the eco-friendly materials encouraged the researchers to explore the potential use of natural fiber as an alternative for synthetic fibers. Hybridization of natural fiber with synthetic fiber will result in unique properties which is difficult to obtain from the individual fibers. In this research Analytical Hierarchy Process (AHP) was used to identify the most suitable natural fiber to be hybridized with Kevlar 29 fiber as a reinforcement in the polymer composites for personal body armor. Fourteen natural fibers and seven criteria's were selected and analyzed for hybridization with respect to the personal body armors design specification. Cocos nucifera sheath which is a naturally woven fiber yields the highest priority vector and it was selected as a most promising natural fiber for hybridization with Kevlar 29 for personal body armor. Eventually, sensitivity analysis was carried out to check the stability of the priority ranking.

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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

Cited by 15 publications

References 23 publications

Identification of textiles by handheld near infrared spectroscopy: Protecting customers against product counterfeiting

Identification of textiles by handheld near infrared spectroscopy: Protecting customers against product counterfeiting

Production of Novel Polygalacturonase from Bacillus paralicheniformis CBS32 and Application to Depolymerization of Ramie Fiber

Selection of Natural Fiber for Hybrid Kevlar/Natural Fiber Reinforced Polymer Composites for Personal Body Armor by Using Analytical Hierarchy Process

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