SUPPORTING INFORMATION FOR INDOOR AIR QUALITY MONITORING SYSTEM WITH HIGH ACCURACY OF GAS CLASSIFICATION AND CONCENTRATION PREDICTION VIA REASONABLE MATERIAL SELECTION

This dataset is the supporting information for the article "Indoor air quality monitoring system with high accuracy of gas classification and concentration prediction via reasonable material selection", including a Word file (Supporting Information.docx) and a demonstration video (Video S1.mp4). In the Word file, We have provided additional explanations to the following content of the article:

1. Preparation methods for sensitive materials are shown in the Note. S1.

2. The process of Temperature-programmed Programmed Desorption/Temperature-programmed Reduction and Temperature Programmed Surface Reaction experiments are shown in Fig. S1,  Fig. S2 and Fig. S3.

3. Through the ion detection scanning of the mass spectrometer, the Analysis results of oxidation products of toluene by W-doped NiO are shown in Fig. S4 and Table S1.

4. The source data of the sensor gas sensitivity test are shown in Fig. S4-S8.

5. Comparison of the sensitivity of sensor units to various gases are shown in TABLE SⅡ-SⅤ.

Finally, the demonstration video of the indoor air quality monitoring system is shown in Video S1.