GB/T 43809-2024 in English
VALIDTechnical requirements for establishing characteristic spectra of plant extracts feed addditives
- Issued on:2024-03-15
- Implemented on:2024-10-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$262.00
《GB/T 43809-2024植物提取物类饲料添加剂特征图谱制定技术要求》由TC76（全国饲料工业标准化技术委员会）归口，主管部门为国家标准化管理委员会。
Introduction
1. Background and significance of the standard
GB/T 43809-2024 "Technical requirements for the development of characteristic profiles of plant extract feed additives" is a standardization document for plant extract feed additives, which aims to standardize the development process of their characteristic profiles. The standard was proposed and managed by the National Feed Industry Standardization Technical Committee, and the main drafting units include Hunan Agricultural University, Beijing Institute of Animal Husbandry and Veterinary Medicine, Chinese Academy of Agricultural Sciences, etc.
2. Comparative analysis of standard frameworks
| Standard dimensions | GB/T 43809-2024 | Comparison standards |
|---|---|---|
| Scope of application | Establishment of characteristic spectra of plant extract feed additives | - |
| Technical requirements | Including characteristic peak selection, S peak determination, relative retention time, etc. | - |
| Determination method | High performance liquid chromatography and gas chromatography | No detailed provisions in other feed additive standards |
3. Recommendations for the implementation of the standard
Step 1: Sample collection and preparation
In accordance with the standard requirements, ensure that the source of the samples is reliable and representative. For purified extracts, it is necessary to select raw materials of specific varieties and origins, and carry out strict pre-treatment.
Step 2: Selection of determination method
Based on the physicochemical properties of the chemical components in the plant extracts, high performance liquid chromatography (HPLC) or gas chromatography (GC) is preferred, and optimized based on the specific situation.
Step 3: Selection and identification of characteristic peaks
By analyzing the chromatograms of 15 batches of samples, select common characteristic peaks and clarify their chemical structures as much as possible. For unknown characteristic peaks, LC-MS or GC-MS can be used for inference.
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