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创新团队

焦甜甜

焦  甜  甜 1988年生,博士、教授、硕士生导师

办公地址:S4实验楼-201

电子邮箱:jiaotiantian1988@163.com

联系电话:1866180591

个人简介

作为团队主要成员研究方向为离子液体在煤、生物质的清洁高效利用及污染物的治理中的应用。开发了适用于煤热解油中酚类物质及含氮物质的高效、绿色萃取剂及相应的分离方案、适用于煤、生物质的萃取-热解分级高效利用方法、适用于甲醛等极性小分子的功能化聚合离子液体吸附剂。今年来主持国家自然科学基金1项,主持山东省自然科学基金等其他基金3项。申请授权发明专利5项,在国内外期刊及会议发表学术论文50余篇。担任FuelJAAP等国际学术期刊审稿人。今年来获得山东省科技进步二等奖、中国科技产业促进会科技创新一等奖、中国煤炭工业科学技术奖等多项科技奖励。

个人经历

l 工作经历:

2016/09-至今,山东科技大学,化工学院/低碳能源化工实验室,副教授

l 教育经历:

2012/09-2016/07,中国科学院过程工程研究所,离子液体与绿色工程研究部,博士

2009/09-2012/07,中国海洋大学,化学与化工学院,硕士

2005/09-2009/07,吉林化工学院,化学与制药工程学院,学士

招生专业

招生专业

招生专业:(硕士)化学工程与技术、材料与化工、能源动力等

荣誉及奖励

1. 山东科技大学菁英计划C类人才,2019

2.“高挥发分煤热解油气提质净化技术开发与应用获山东省科技进步二等奖,2020年,第6

3.“煤气/天然气中汞污染物的常温脱除技术及应用获山东省科技进步二等奖,2019年,第5

4.“基于复杂操作工况的天然气中汞污染物高效脱除技术及应用”获中国科技产业化促进会科技创新一等奖,2020,第3

5.“基于移动床的新型粉煤快速热解技术开发获中国煤炭工业协会科学技术三等奖,2020,第3

6.“新型高效吸附材料制备技术及其脱除典型大气污染物的应用获山东省高等学校科学技术奖三等奖,2017,第2

7含氯废塑料清洁高效制取高品质油品技术及应用中国循环经济协会科技进步奖,2021年,第4

发表论文

1. Jiao Tiantian*, Lin Shaojie, Bai Guangming, Ren Chuhan, Zhang Yaqing, Li Xiangping, Zhang Huawei, Liang Peng*. Study on extract-pyrolysis cascading utilization characteristics of typical biomass using imidazolium-based ionic liquids[J]. Fuel, 2023, 346, 128279.

2. Jiao Tiantian*, Ren Chuhan, et al. The extraction mechanism research for the separation of indole through the formation of deep eutectic solvents with quaternary ammonium salts[J]. JOURNAL OF MOLECULAR LIQUIDS, 2022, 347: 118325.

3. Bai Guangming, Jiao Tiantian *, et al. Study on extract-pyrolysis cascading utilization of chlorella based on green chemistry[J]. Journal of Analytical and Applied Pyrolysis, 2021, 157:105204.

4. Liang Peng, Qin Xizhuang, Bai Guangming, Jiao Tiantian *, et al. Effects of ionic liquid pretreatment on pyrolysis characteristics of a high-sulfur bituminous coal[J]. Fuel, 2019, 258:116134.

5. Man Xingzhe, Jiao Tiantian *, Wang Zhiliang*, et al. Isobaric Vapor–Liquid Equilibrium Measurements and Separation Process for the Quinary Methanol + Methylal + 2-Butanol + 2-(Methoxymethoxy)-butane+(±)-Di-sec-butoxymethane System[J]. Journal of Chemical & Engineering Data, 2019, 64(12).

6. Jiao Tiantian *, Qin Xizhuang, et al. Separation of phenol and pyridine from coal tar via liquid–liquid extraction using deep eutectic solvents[J]. Chemical Engineering Research & Design, 2019, 145:112-121.

7. Man Xingzhe, Jiao Tiantian *, Wang Zhiliang*, Zhang Xihong, Meng Xiangfa. Isobaric Vapor Liquid Equilibrium for the Binary Systems of 2-Butanol + 2-(Methoxymethoxy)-butane and 1-Butanol + 2-(Methoxymethoxy)-butane at 101.3 kPa. J. Chem. Eng. Data. 2018, 63, 3851-3859.

8. Qin Xizhuang, Jiao Tiantian*, Zhang Yaqing, Yu Juan., Liang Peng*. Effect of solvent pretreatment on pyrolysis characteristic of high-sulfur bituminous coal. Jounal of Analytical and Applied Pyrolysis, 2018, 135: 54-59.

9. Jiao Tiantian, Zhuang Xulei, He Hongyan, Zhao Lihong, Li Chunshan*, Chen Hongnan, Zhang Suojiang*. An ionic liquid extraction process for the separation of indole from wash oil. Green Chemistry, 2015, 17: 3783-3790.

10. Jiao Tiantian, Li Chunshan*, Zhuang Xulei, Cao Shasha, Chen Hongnan, Zhang Suojiang*. The new liquid-liquid extraction method for separation of phenolic compounds from coal tar. Chemical Engineering Journal. 2015, 266: 148-155.

11. Jiao Tiantian, Zhuang Xulei, He Hongyan, Li Chunshan*, Chen Hongnan, Zhang Suojiang*. Separation of phenolic compounds from coal tar via liquid-liquid extraction using amide compounds. Industrial & Engineering Chemistry Research, 2015, 54(9): 2573-2579.

12. Jiao Tiantian, Zhuang Xulei, Li Chunshan*, Zhang Suojiang*. A new separation method for phenolic compounds from low-temperature coal tar with urea by complex formation. Journal of Industrial and Engineering Chemistry, 2015, 29: 344-348.

13. Jiao Tiantian, Wang Hongyan, Dai Fei, Li Chunshan*, Zhang Suojiang*. Thermodynamics study for the separation process of cresols from hexane via deep eutectic solvent formation. Industrial & Engineering Chemistry Research, 2016, 55: 8848?8857.

14. Jiao Tiantian, Zhuang Xulei, Li Chunshan*, Zhang Suojiang*, A Benzene Chain-based Contribution Method for Prediction of Physical Properties of Aromatic Compounds. Fluid Phase Equilibria, 2014, 364: 60-68.

讲授课程

留学生课程《化工计算》、本科生课程《化工设备基础》、《化工过程三维制图》


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