GB/T 44075-2024 in English

VALID

Nanotechnology—Determination of the uniformity of SERS solid substrate—Raman mapping analysis

Issued on:2024-05-28
Implemented on:2024-12-01
File Format:PDF
Delivery:Via email within 1~3 business days

Price(USD)： $280.00
$272.00

Standard No:	GB/T 44075-2024
Document status:	VALID
Title in English:	Nanotechnology—Determination of the uniformity of SERS solid substrate—Raman mapping analysis
Title in Chinese:	纳米技术表面增强拉曼固相基片均匀性测量拉曼成像分析法
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2024-05-28
Implemented on:	2024-12-01
Professional Classification:	GB-National Standard
Related Keywords:	solid substrate raman mapping analysis introduction raman imaging analysis method sers uniformity measurement substrate uniformity analysis method
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《GB/T 44075-2024纳米技术表面增强拉曼固相基片均匀性测量拉曼成像分析法》由TC279（全国纳米技术标准化技术委员会）归口，主管部门为中国科学院。

Introduction

1. Standard Overview

National Standard of the People's Republic of China GB/T 44075-2024 "Raman Imaging Analysis Method for Uniformity Measurement of Surface Enhanced Raman Solid-Phase Substrates in Nanotechnology" specifies the method of measuring the uniformity of surface enhanced Raman solid-phase substrates (SERS) using Raman spectroscopy imaging analysis, including method overview, instruments and equipment, reagents and materials, test process and test report. This standard is applicable to the uniformity measurement of SERS solid-phase substrates.

2. Background of Standard Formulation

SERS (surface enhanced Raman spectroscopy) technology is widely used in food safety, biomedicine and public safety due to its high sensitivity. However, the quality of SERS substrates directly affects the accuracy of test results, among which uniformity is one of the key indicators of substrate quality. The formulation of GB/T 44075-2024 standard aims to standardize the uniformity evaluation method of SERS solid-phase substrates and improve the reproducibility and credibility of test results.

3. Analysis of Technological Evolution

From traditional Raman spectroscopy to modern Raman imaging technology, SERS uniformity measurement has undergone multiple technological upgrades. GB/T 44075-2024 standard introduces advanced Raman imaging analysis method, which realizes comprehensive evaluation of substrate uniformity through multi-point scanning and statistical analysis, significantly improving detection efficiency and accuracy.

4. Method Overview

Steps	Detailed Description
Loading	By soaking in solution, probe molecules are adsorbed on the surface of the substrate.
Testing	SERS signals are collected at different positions of the substrate, and usually no less than 100 data points are selected to obtain spectra.
Data processing	Select the characteristic peaks at the same position in all SERS spectra and read their peak areas. Normalize with the average value of the peak area as 1.
Result output	Calculate the standard deviation δ of all relative peak area intensity data as the uniformity characteristic value. The smaller δ is, the more uniform the SERS solid phase substrate is.

5. Instruments and Equipment

The main instruments and equipment required for the test include:

Laser confocal Raman microscope
Ultrasonic dispersion instrument
Analytical balance

6. Test Process

The test process includes three main stages: sample preparation, sample characterization and data processing. Sample preparation involves the configuration of probe molecules and the adsorption of substrates; sample characterization requires the setting of Raman test parameters; data processing includes baseline subtraction, peak selection and area calculation, and uniformity evaluation.

7. Implementation Suggestions

Implementation Suggestions:

Strictly follow the standard requirements for instrument calibration and sample processing to ensure the accuracy of the test results.
During the data processing stage, pay attention to the quality of background subtraction and peak selection to improve the reliability of uniformity assessment.
It is recommended to use automated data analysis software to improve test efficiency.

More samples: JJG 21-2008 QC/T 942-2021 DL/T 368-2010

Sample only — not a preview of GB/T 44075-2024

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