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Basic data Standard ID | GH/T 1337-2021 (GH/T1337-2021) | Description (Translated English) | (Rapid determination of impurity content in seed cotton by near infrared spectroscopy) | Sector / Industry | Supply and Marketing Cooperatives Industry Standard (Recommended) | Classification of Chinese Standard | B93 | Word Count Estimation | 10,128 | Issuing agency(ies) | All-China Federation of Supply and Marketing Cooperatives |
GHT1337-2021: (Rapid determination of impurity content in seed cotton by near infrared spectroscopy) ---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
(Rapid determination of impurity content in seed cotton by near infrared spectroscopy)
ICS 65.040.20
CCSB93
Industry Standard for Supply and Marketing Cooperation of the People's Republic of China
Rapid Determination of Impurity Content in Seed Cotton by Near Infrared Spectroscopy
Published on 2021-07-07
2021-10-01 Implementation
Released by All-China Federation of Supply and Marketing Cooperatives
foreword
This document is in accordance with the rules of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules of Standardization Documents"
drafted.
This document is proposed by the National Cotton Processing Standardization Committee.
This document is under the jurisdiction of the National Cotton Processing Standardization Committee (SAC/TC407).
This document was drafted by. Anhui University of Finance and Economics, Shihezi University, Anhui Shou County Yinfeng Cotton Industry Co., Ltd., Xinjiang Urumqi Municipal Inspection
Inspection and Testing Center, China National Supply and Marketing Cooperative Zhengzhou Cotton and Linen Engineering Technology Design Institute, Anqing Fiber Inspection Institute, Wuhu Fiber Inspection
Inspection Institute, Shandong Swan Cotton Industry Machinery Co., Ltd.
The main drafters of this document. Zhou Wanhuai, Xu Shoudong, Liu Congjiu, Zhang Ruoyu, Li Hao, Zhang Xuedong, Liang Houjun, Zhang Mengyun, Zhang Hengjun, Chen Zhaoshun,
Liu Sijia, Li Xiaohua, Chen Weidong, Gao Haiqiang, Li Huaikun, Zhang Zhiquan.
Rapid Determination of Impurity Content in Seed Cotton by Near Infrared Spectroscopy
1 Scope
This document specifies the terms and definitions, principles, instruments and software of near-infrared spectroscopy for the rapid determination of vegetable impurities in seed cotton.
Requirements for spectral database construction, unknown sample detection and analysis steps, and detection reports.
This document is applicable to the detection of vegetable impurities in seed cotton in the acquisition and processing of cotton.
2 Normative references
The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, dated citations
documents, only the version corresponding to that date applies to this document; for undated references, the latest edition (including all amendments) applies to
this document.
GB 1103.1 Cotton Part 1.Sawtooth Processed Fine Staple Cotton
GB 1103.2 Cotton Part 2.Top roller processing fine staple cotton
GB/T 6499 Test method for impurity content of raw cotton
GB/T 8170 Numerical Rounding Rules and Representation and Judgment of Limit Values
GB/T 29858 General Rules for Multivariate Calibration and Quantitative Analysis of Molecular Spectroscopy
GB/T 32199 General Rules for Qualitative Analysis Techniques of Infrared Spectroscopy
GB/T 37969 General Rules for Qualitative Analysis of Near Infrared Spectroscopy
3 Terms and Definitions
GB 1103.1 and the following terms and definitions apply to this document.
3.1
Near infrared light nearinfrared
Electromagnetic waves with wavelengths from 780mm to 2500nm.
[Source. GB/T 37969-2019, Chapter 1, with modifications]
3.2
Radiated light is scattered and reflected in multiple directions at or below the surface of the sample.
[Source. GB/T 32199-2015, 6.6, with modifications]
3.3
spectraldatabase
Database system software used to manage existing spectral data and related information such as samples and models.
3.4
spectralmatching
The process of calculating the similarity or distance between different spectral curves according to a specific algorithm.
3.5
The mathematical principle of spectral matching, usually according to the information categories used in the spectral matching process, spectral matching algorithms are divided into characteristic peak matching
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