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FZ/T 01150-2019 English PDF

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FZ/T 01150-2019: Textile - Test method for identification of bamboo fibre and viscose from bamboo - Near infrared spectroscopy method
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Basic data

Standard ID FZ/T 01150-2019 (FZ/T01150-2019)
Description (Translated English) Textile - Test method for identification of bamboo fibre and viscose from bamboo - Near infrared spectroscopy method
Sector / Industry Spinning & Textile Industry Standard (Recommended)
Classification of Chinese Standard W04
Classification of International Standard 59.080.01
Word Count Estimation 12,194
Date of Issue 2019
Date of Implementation 2020-04-01
Issuing agency(ies) Ministry of Industry and Information Technology of the People's Republic of China
Summary This standard specifies the test method for qualitative identification of bamboo fiber and bamboo pulp viscose fiber by near-infrared spectroscopy. This standard applies to the qualitative identification of single-component bamboo fibers, hemp fibers (ramie fibers, flax fibers), bamboo pulp viscose fibers and other viscose fibers.

FZ/T 01150-2019: Textile - Test method for identification of bamboo fibre and viscose from bamboo - Near infrared spectroscopy method


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Textile-Test method for identification of bamboo fibre and viscose from bamboo-Near infrared spectroscopy method ICS 59.080.01 W04 People's Republic of China Textile Industry Standard textile Qualitative identification test method for bamboo fiber and bamboo pulp viscose fiber Near infrared spectroscopy Published on November 11,.2019 2020-04-01 Implementation Issued by the Ministry of Industry and Information Technology of the People's Republic of China

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. This standard was proposed by the China National Textile and Apparel Council. This standard is under the jurisdiction of the Basic Standards Branch of the National Textile Standardization Technical Committee (SAC/TC209/SC1). This standard was drafted by. Shanghai Quality Supervision and Inspection Technology Institute, Donghua University, Fujian Haibosi Chemical Technology Co., Ltd., Hebei Ji Gao Chemical Fiber Co., Ltd., Fluorescent Optical Instruments (Shanghai) Co., Ltd. The main drafters of this standard. Li Weidong, Huang Xingyang, Xu Hong, Wang Xinhou, Jia Kaikai, Jin Biao, Xu Jiawei, Zhang Dejun. textile Qualitative identification test method for bamboo fiber and bamboo pulp viscose fiber Near infrared spectroscopy

1 Scope

This standard specifies the test method for qualitative identification of bamboo fiber and bamboo pulp viscose fiber using near infrared spectroscopy analysis technology. This standard applies to single-component bamboo fibers, hemp fibers (ramie fibers, flax fibers), bamboo pulp viscose fibers and other viscose fibers Qualitative identification. Note. This standard does not apply to textiles containing sizing and coating, but applies to textiles after desizing and stripping of coatings.

2 Normative references

The following documents are essential for the application of this standard. For dated references, only the dated version applies to this article Pieces. For the cited documents without date, the latest version (including all amendments) applies to this document. FZ/T 01057 Textile fiber identification test method (all parts)

3 Terms and definitions

The following terms and definitions apply to this document. 3.1 Bamboo fiber bamboofibre Fiber obtained from the stem of bamboo. [GB/T 11951-2018, definition 3.2.2.14] 3.2 Bamboo pulp viscose fiber viscosefrombamboo The regenerated cellulose fiber is made of bamboo as raw material according to the viscose fiber production process. 3.3 Calibration samples The type of fiber is known, and it is used to establish the calibration model of the sample. 3.4 Calibration model A mathematical expression that expresses the correlation between the fiber types of a group of samples and their spectra. 3.5 Validation samples The type of fiber is known and used to verify the performance of the model. 3.6 Factorization A calculation method for qualitative analysis and modeling of near infrared spectroscopy, the original spectrum is decomposed into a linear combination of factor spectrum and score value, and then re The score value and factor spectrum of the main factor are combined to form a spectrum that excludes interference information such as noise and impurities.

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