Ziyan Sha

Ms. Ziyan Sha


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 January 2025 in Gels
Verified
Journal Article
Open access
PDF file
YDYun Deng
Yun Deng
ZSZiyan Sha
Ziyan Sha
XWXingxing Wang
Xingxing Wang
KDKe Duan
Ke Duan
Weijie XueWeijie Xue
Weijie Xue
Changbo ZHANGChangbo ZHANG
Changbo ZHANG
To expand the applications of hydrophobic silica aerogels derived from rice husk ash (HSA) through simple traditional methods (without adding special materials or processes), this paper employs machine learning to establish mathematical models to identify optimal conditions for extracting water glass and investigates how preparation conditions and heat treatment temperatures affect properties such as the porosity and hydrophobicity of HSA. The results indicate that the decision tree regression model provides the most accurate predictions for the extraction rate and modulus of water glass. Notably, the water contact angle of HSA produced using nitric acid as a catalyst can reach as high as 159.5°, classifying it as a superhydrophobic material. Additionally, while moderately increasing the concentration of the hydrophobic modifier enhances HSA’s hydrophobicity, it concurrently reduces its porosity. The HSA maintained hydrophobicity until 500 °C. The pore structure of HSA collapsed gradually with the increase in heat temperature. After treatment at 700 °C, HSA lost its hydrophobicity and the porous structure was severely damaged. Compared with silica aerogel using traditional silicon sources, the damage to pore structure and the crystallization occurred at lower temperatures, but the hydrophobicity remained at higher temperatures.

16 March 2025 in Gels
Verified
Journal Article
Open access
PDF file
YDYun Deng
Yun Deng
QZQiusheng Zhao
Qiusheng Zhao
SNShuai Nian
Shuai Nian
ZSZiyan Sha
Ziyan Sha
LFLin Fu
Lin Fu
Changbo ZHANGChangbo ZHANG
Changbo ZHANG
To investigate the feasibility of cellulose extraction from lignocellulosic waste biomass using ionic liquids—a sustainable and efficient approach—for preparing cellulose aerogel adsorbents, we employed a fully green amino acid-derived ionic liquid, cysteine nitrate ([Cys][NO3]), for cellulose separation from diverse biomass sources. The extracted cellulose, with a purity range of 83.8–93.9%, was processed into cellulose aerogels (CAs) via a conventional aerogel preparation protocol. The resulting CA exhibited promising adsorption capacities, including 0.2–11.6 mg/g for Na+, 4.4–19.9 mg/g for Ca2+, 4.15–35.6 mg/g for Mg2+, and 1.85–13.3 mg/g for Cd2+, as well as 9.7–17.7 g/g for engine oil. These results demonstrate the presence of effective mass transfer channels in the CA, proving that the cellulose’s fibrillation capacity was preserved in the pre-treatment. This study illuminates the potential of this green, straightforward method for preparing aerogels from cellulose derived from waste biomass, with promising applications in wastewater treatment and material recovery.