Peng Xiaojun

Personal Information

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Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates  

Academic Titles:中国化学会创始会士、常务理事,中国化工学会会士

Gender:Male

Alma Mater:Dalian University of Technology

Honors and Titles: Member of Discipline Appraisal Group of the Academic Degree Commission of the State Council, Winner of Trans-Century Training Program Foundation for the Talents by the State Education Commission, Academician of Chinese Academy of Sciences Academician of Chinese Academy of Sciences, Changjiang Distinguished Professor, Changjiang Distinguished Professor, Outstanding youth fund winners, Outstanding youth fund winners,

Personal Profile

Xiaojun Peng received his Ph.D. in 1990 at Dalian University of Technology. After completing postdoctoral research in Nankai University, he has been working at Dalian University of Technology since 1992. In 2001 and 2002, he has been a visiting scholar in Stockholm University and Northwestern University (U.S.A), respectively. He served as the director of the State Key Laboratory of Fine Chemicals at Dalian University of Technology from 1997 to 2023. Currently, he is a professor at Dalian University of Technology and Academician of Chinese Academy of Sciences (since 2017). He has been listed in "Highly Cited Researchers" by Thomson Reuters since 2015. His research interests cover photo-driven intelligent molecules and product engineering, including: 1. Fluorescent chemosensors: Based on photo-induced electron transfer, intramolecular charge transfer and energy transfer, fluorescent chemosensors for chemicals with biological activity, such as cations, anions, molecules, enzymes, proteins, DNA, RNA and reactive oxygen species, and for environmental factors such as temperature, polarity, viscosity, and pH, have been developed. These chemosensors have been designed for applications in vitro and in vivo. Molecular platform with near-infrared excitation and emission with large Stokes Shift and strong fluorescence has been set up, suitable for bio-system applications, such as diagnosis and fluorescence-guided surgery. 2. Photosensitizers for theranostics: Near-infrared photosensitizers are designed to bind selectively to biomarkers and improve targeting internalization in cancer cells. For example, the ingestion by biotin receptor positive cells is much higher than biotin receptor negative cells. The platform of NIR photo-generator system of superoxide anion free radical for highly efficient photodynamic ablation of hypoxic tumors has been developed. It contributes to comparable photo-cytotoxicity in hypoxia to normoxia envrionments, and provides hundreds-fold enhancement in the aspect of anticancer potency compared with normal clinical photosensitizers for photodynamic therapy. 3. Chemical product engineering: The ultimate products design and optimization on the chemical structures from molecule to nano- and macro-structure, the time range spanning from nanosecond response to long-time endurance, as well as on the clean manufacturing processes at bench-, pilot- and mega-scale. In these ways, NIR cyanine dyes as fluorescent sensors for DNA or RNA have been used commercially in new hematology analyzers, and new functional dyes with weather-resistance have been industrialized as color components used in ink-jet printing and laser printing.

Education BackgroundMore>>

1976.09 1978.07
  • 湖南澧县垱市中学
1986.09 1989.12
  • 大连理工大学
  • 精细化工
  • Doctoral Degree
1983.09 1986.08
  • 大连工学院
  • 精细化工
  • Master's Degree

Work ExperienceMore>>

1996.09 Now
  • 大连理工大学
  • 教授
1993.08 1996.06
  • 大连理工大学
  • 副教授
1992.04 1993.08
  • 大连理工大学
  • 教师

Social Affiliations

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  • Research Focus

    • Chemical product engineering: products design and optimization on structures from molecule to nano- and macro-structure, as well as on the clean manufacturing processes at bench-,pilot- and mega-scale.

    Research Group

    Name of Research Group:智能分子材料组
    Description of Research Group:智能材料(Smart Materals)是对外部刺激产生响应的多功能分子体系,是21世纪兴起的新的学科前沿。智能分子材料(Smart Molecular Materials),面向未来智能社会对自感知、自执行、自修复等高端化学品的重大需求,从分子层面出发,研究智能材料的结构物性基本理论、智能设计、智能制造的关键科学问题,是基础科学与工程科学交叉融合的新领域。 课题组智能分子材料涉及:生命科学(识别机理、荧光探针、靶向药物)、电子信息(光刻光阻、光学显示、微纳打印、电子离子传递)、人工智能(分子数据、结构生成、机器人应用)等。 课题组成员包括:彭孝军、樊江莉、杜健军、孙文、龙飒然、陈鹏忠等院士、杰青、优青和青年博士,以及博士后、研究生、工程技术人员等。