陳以頔

陳以頔博士出生於黑龍江省哈爾濱市,2019年10月畢業於哈爾濱工業大學獲得環境科學與工程博士學位,並於同年進入哈爾濱工業大學(深圳)擔任助理教授職位。

基本介紹

  • 中文名:陳以頔
  • 國籍中國
  • 畢業院校:哈爾濱工業大學
  • 學位/學歷:博士
人物經歷,教育經歷,工作經歷,研究方向,科研成果,

人物經歷

教育經歷

起訖時間
2011.09-2015.07
所學專業
環境工程
學習機構
哈爾濱工業大學
學歷
本科
起訖時間
2015.09-2019.10
所學專業
環境科學與工程
學習機構
哈爾濱工業大學
學歷
博士研究生 導師:任南琪 教授 / 賀詩欣 教授

工作經歷

起訖時間
2019.12-迄今
職位,職稱
助理教授
工作地點,工作單位
哈爾濱工業大學(深圳)-土木與環境工程學院

研究方向

主要從事生物炭製備及套用、污泥處理與資源化、高級氧化、微藻培養與生物質能源轉化等方面的研究。

科研成果

主要期刊論文
1.Chen, Y-d, Wang, R, Duan, X, Wang, S, Ren, N-q and Ho, S-H. Production, properties, and catalytic applications of sludge derived biochar for environmental remediation. Water Research 2020, In Press. (JCR-Q1, IF=9.139)
2. Ho, S-H, Chen, Y-d*, Li, R, Zhang, C, Ge, Y, Cao, G, Ma, M, Duan, X*, Wang, S, and Ren, N-q. N-doped graphitic biochars from C-phycocyanin extracted Spirulina residue for catalytic persulfate activation toward nonradical disinfection and organic oxidation. Water Research 2019, 159, 77-86. (JCR-Q1, IF=9.139)
3. Chen, Y-d, Liu, F., Ren, N.-Q. and Ho, S.-H. Revolutions in algal biochar for different applications: State-of-the-art techniques and future scenarios. Chinese Chemical Letters 2020, In Press. (JCR-Q2, IF=4.632)
4. Chen Y-d, Yang Z, Ren N, Ho S. Optimizing the production of short and medium chain fatty acids (SCFAs and MCFAs) from waste activated sludge using different alkyl polyglucose surfactants, through bacterial metabolic analysis. Journal of Hazardous Materials 2020, 384, 121384. (JCR-Q1, IF=9.038)
5. Chen Y-d, Duan X, Zhang C, Wang S, Ren N, Ho S. Graphitic biochar catalysts from anaerobic digestion sludge for nonradical degradation of micropollutants and disinfection. Chemical Engineering Journal 2019, 123244. (JCR-Q1, IF=10.652)
6. Chen Y-d, Bai S, Li R, Su G, Duan X*, Wang S, Ren N-q and Ho S-H*. Magnetic biochar catalysts from anaerobic digested sludge: Production, application and environment impact. Environment International 2019, 126, 302-308. (JCR-Q1, IF=7.577)
7. Chen Y-d, Li S, Ho S-H*, Wang C, Lin Y-C, Nagarajan D, Chang J-S, Ren N-q*. Integration of sludge digestion and microalgae cultivation for enhancing bioenergy and biorefinery. Renewable & Sustainable Energy Reviews 2018, 96, 76-90.(JCR-Q1, IF=12.110)
8. Chen Y-d, Ho S-H*, Nagarajan D, Ren N-q, Chang J-S*. Waste biorefineries - integrating anaerobic digestion and microalgae cultivation for bioenergy production. Current Opinion in Biotechnology 2018, 50:101-10. (JCR-Q1, IF=8.288)
9. Chen Y-d, Ho S-H*, Wang D, Wei Z-s, Chang J-S, Ren N-q: Lead removal by a magnetic biochar derived from persulfate-ZVI treated sludge together with one-pot pyrolysis. Bioresource Technology 2018, 247:463-470.(JCR-Q1, IF=7.539)
10. Chen Y-d, Lin Y-H, Ho S-H*, Zhou Y, Ren N-q. Highly efficient adsorption of dyes by biochar derived from pigments-extracted macroalgae pyrolyzed at different temperature. Bioresource Technology 2018:104-10. (JCR-Q1, IF=7.539)
11. Yang Q, Chen Y-d, Duan X, Zhou S, Niu Y, Sun H, Zhi L, Wang S, Unzipping carbon nanotubes to nanoribbons for revealing the mechanism of nonradical oxidation by carbocatalysis. Applied Catalysis B: Environmental, 2020, 119146. (JCR-Q1, IF=16.683)
12. Ho S-H, Chen Y-d, Yang Z-k, Nagarajan D, Chang J-S, Ren N-q*: High-efficiency removal of lead from wastewater by biochar derived from anaerobic digestion sludge. Bioresource Technology 2017, 246.(JCR-Q1, IF=7.539)
13. Ho S-H, Chen Y-d, Chang C-Y, Lai Y-Y, Chen C-Y, Kondo* A, et al. Feasibility of CO2 mitigation and carbohydrate production by microalga Scenedesmus obliquus CNW-N used for bioethanol fermentation under outdoor conditions: effects of seasonal changes. Biotechnology for Biofuels 2017, 10:27. (JCR-Q2, IF=4.815)
14. Yang S, Chen Y-d, Ye Zhang, Hui-Min Zhou, Xin-Yu Ji, Lei He, De-Feng Xing, Nan-Qi Ren, Shih-Hsin Ho*, Wei-Min Wu*. A novel clean production approach to utilize crop waste residues as co-diet for mealworm (Tenebrio molitor) biomass production with biochar as byproduct for heavy metal removal. Environmental Pollution 2019. 252, 1142-1153. (JCR-Q2, IF=6.792)
15. Yang S, Chen Y-d, Jin-Hao Kang, Ting-Rong Xie, Lei He, De-Feng Xing, Nan-Qi Ren, Shih-Hsin Ho*, Wei-Min Wu*. Generation of high-efficient biochar for dye adsorption using frass of yellow mealworms (larvae of Tenebrio molitor Linnaeus) fed with wheat straw for insect biomass production, Journal of Cleaner Production 2019 227, 33-47. (JCR-Q1, IF=7.246)
16. Wang Y, Yang Q, Chen J, Yang J, Zhang Y, Chen Y-d, Li X, Du W, Liang A, Ho S.-H, Chang J.-S*, Adsorption behavior of Cr(VI) by magnetically modified Enteromorpha prolifera based biochar and the toxicity analysis. Journal of Hazardous Materials 2020, 395, 122658. (JCR-Q1, IF=9.038)
17. Zheng H, Guo W, Li S, Chen Y-d, Wu Q, Feng X, Yin R, Ho S-H, Ren N, Chang J-S. Adsorption of p-nitrophenols (PNP) on microalgal biochar: Analysis of high adsorption capacity and mechanism. Bioresource Technology 2017; 244. (JCR-Q1, IF=7.539)
18. Yang S, Guo W, Chen Y-d, Peng S, Du J, Zheng H, Feng X, Ren N Simultaneous in-situ sludge reduction and nutrient removal in an A 2 MO-M system: Performances, mechanisms, and modeling with an extended ASM2d model. Water Research 2016 88(4), 524-537. (JCR-Q1, IF=9.139)
19. Yang S, Guo W, Chen Y-d, Wu Q, Luo H, Peng S, Zheng H, Feng X, Zhou X, Ren, N. Economical evaluation of sludge reduction and characterization of effluent organic matter in an alternating aeration activated sludge system combining ozone/ultrasound pretreatment. Bioresource Technology 2015 177(177C), 194-203.(JCR-Q1, IF=7.539)
20. Pang J, Yang S, He L, Chen Y-d, Cao G, Zhao L, Wang X, Ren N. An influent responsive control strategy with machine learning: Q-learning based optimization method for a biological phosphorus removal system. Chemosphere 2019, 06.103.(JCR-Q2, IF=5.108)
21. Yang S, Guo W, Chen Y-d, Zhou X, Zheng H, Feng X, Yin R, Ren N. Simultaneous nutrient removal and reduction in sludge from sewage waste using an alternating anaerobic–anoxic–microaerobic–aerobic system combining ozone/ultrasound technology. Rsc Advances 2014 4(95), 52892-52897. (JCR-Q4, IF=3.119)
22. Pang J, Yang S, He L, Chen Y-d, Ren N. Intelligent control/operational strategies in WWTPs through an integrated Q-learning algorithm with ASM2d-guided reward. Water Resources 2019 11(5). (JCR-Q3, IF=0.556)

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