GB/T 37966-2019 in English

1. Standard Overview

The National Standard of the People's Republic of China GB/T 37966-2019 "Nanotechnology Iron Oxide Nanoparticles Peroxidase Activity Measurement Method" was proposed by the Chinese Academy of Sciences and is under the jurisdiction of the National Technical Committee for Nanotechnology Standardization. This standard specifies the measurement method for the peroxidase activity of iron oxide nanoparticles and is applicable to the measurement and evaluation of iron oxide nanoparticles such as ferric oxide and ferric oxide using a spectrophotometer.

2. Comparison of standard frameworks

3. Background of standard formulation

With the rapid development of nanotechnology, iron oxide nanoparticles have shown broad application prospects in biomedicine, environmental monitoring and other fields due to their unique magnetic properties and biocompatibility. However, there is a lack of unified standards for the measurement of its peroxidase-like activity, which makes it difficult to compare research data horizontally. The formulation of this standard fills this gap and provides a standardized technical reference for research in related fields.

4. Interpretation of standard content

4.1 Measurement principle

Based on the catalytic reaction of TMB substrate, iron oxide nanoparticles catalyze TMB to generate blue derivatives under acidic conditions (pH=3.6), which have a characteristic absorption peak at a wavelength of 650nm. By monitoring the change of absorbance over time, the number of enzyme activity units (b_nano) is calculated and further converted into mass activity per milligram of iron element (a_nano).

4.2 Key Technical Indicators

5. Implementation Suggestions

To ensure the accuracy and comparability of the measurement results, it is recommended that:

• Spectrophotometer needs to be calibrated regularly to ensure the accuracy of wavelength and absorbance;
• Strictly control weighing error (≤0.5%) during reagent preparation;
• Instrument preparation SOP document training should be conducted before the experiment;
• Establish data elimination rules and measurement uncertainty assessment mechanism.