Yihan Du

Mr. Yihan Du

College of Information Science and Engineering, Shanxi Agricultural University, Shanxi, China

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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22 January 2024 in Agriculture
Verified
Journal Article
Open access
PDF file
YSYanBo Song
YanBo Song
WZweiyu ZHAO
weiyu ZHAO
ZLZhenyu Liu
Zhenyu Liu
SGShuhong Guo
Shuhong Guo
YDYihan Du
Yihan Du
ZLZhenyu Liu
Zhenyu Liu
To explore the effects of pulsed electric field treatment on the germination of Scutellaria baicalensis seeds and the growth of seedlings, this study used the response surface methodology to design the working parameters of the pulsed electric field and treated and cultured Scutellaria baicalensis seeds. The results showed that the pulsed electric field treatment was beneficial for the germination of Scutellaria baicalensis seeds, improving the metabolic activity and stress resistance of seedlings. When the pulsed electric field treatment’s parameters were 0.5 kV·cm−1, 120 μs, and 99 pulses, the germination potential of seeds was significantly increased by 29.25% and the germination index significantly increased by 20.65%, compared to the control. From 5th to 15th day, the activities of SOD, POD, and α-amylase in the seedlings, and the contents of Pro, soluble sugars, and soluble proteins were significantly increased, compared to the control. This study provides a theoretical basis for improving the germination and seedling growth of medicinal herbs such as Scutellaria baicalensis and their practical application in production.

4 July 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
FJFan Jiao
Fan Jiao
LNLili Nie
Lili Nie
JSJiayuan Shao
Jiayuan Shao
瑛王瑛 王
瑛 王
YDYihan Du
Yihan Du
ZLZhenyu Liu
Zhenyu Liu
Water scarcity is a significant global problem. Considerable water resources are consumed in the production of livestock and poultry products, thus posing a huge challenge to global freshwater resources. Sheep meat has the second highest water footprint among livestock meat products. Furthermore, as the demand for sheep meat increases on a year by year basis, water consumption continues to rise as a result. In order to make better informed decisions around water management, it is necessary to estimate the water footprint of animal husbandry. This study offers a comprehensive overview of the water footprint of sheep in Northern China. It analyzes the water footprint of feed production and virtual water using CROPWAT, based on the water footprint of sheep and goats in Shanxi under different production systems and feed components. The water footprint was calculated to be 6.03 m3/kg for sheep and 5.05 m3/kg for goats, respectively. Therefore, the water footprint of three farming modes, including grazing mixed and industrial in the Shanxi region was slightly higher than what other experts have evaluated for China. These data provide crucial information that can help reduce water resource consumption in animal husbandry and contribute to the development of sustainable strategies.

20 August 2023 in Processes
Verified
Journal Article
Open access
PDF file
JSJiayuan Shao
Jiayuan Shao
FJFan Jiao
Fan Jiao
LNLili Nie
Lili Nie
瑛王瑛 王
瑛 王
YDYihan Du
Yihan Du
ZLZhenyu Liu
Zhenyu Liu
Vacuum freeze-dried products exhibit properties characteristic of porous media, rendering them superior in both drying and rehydration capabilities. However, the process of sublimation drying is constrained by its substantial time and energy costs. To comprehensively grasp its technological process and identify the optimal process parameters, the cellular automata method was employed for sublimation process simulation. Carrot slices, measuring 10 mm in thickness and 40 mm in radius, were selected for both simulation and experimentation. The sublimation process was characterized using a two-dimensional heat and mass transfer equation, inclusive of a dusty gas model. Additionally, a cellular automaton model was applied to simulate the mass transfer process, temperature, and moisture content changes in the sublimation drying stage. Then, the accuracy of the model was verified through experimentation. There was a remarkable alignment between simulation and experimental outcomes, with determination coefficients R2 of 99.4% for moisture content and 97.6% for temperature variations.