Automated Author ProfileZhou, Yalan
Fujian Agriculture and Forestry University
Zhou, Yalan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Activated carbon (AC) was successfully prepared from low-cost forestry fir bark (FB) waste using KOH activation method. Morphology and texture properties of ACFB was studied by scanning and high-resolution transmission electron microscopies (SEM and HRTEM), respectively. The resulting of fir bark based activated carbon (ACFB) demonstrated high surface area (1552 m2/g) and pore volume (0.84 cm3/g), both of which reflect excellent potential adsorption properties of ACFB towards methylene blue (MB). The effect of various factors, such as pH, initial concentration, adsorbent content as well as adsorption duration were studied individually. Adsorption isotherms of MB were fitted using all three non-linear models (Freundlich, Langmuir and Tempkin). The best fitting of MB adsorption results was obtained using Freundlich and Temkin. Experimental results showed that kinetics of MB adsorption by our ACFB adsorbent followed pseudo-second order model. Maximum adsorption capacity obtained was 330 mg/g, which indicated that fir bark is an excellent raw material for low-cost production of activated carbon suitable for cationic dye removal.
Authors
- Luo, Lu ;
- Wu, Xi ;
- Li, Zeliang ;
- Zhou, Yalan ;
- Chen, Tingting ;
- Fan, Mizi ;
- Zhao, Weigang