Optical Resolution of the Morphological Change of Single Nanoparticles at Native Conditions: A Nonsuper-Resolution Approach.

Journal: ACS sensors
Published Date:

Abstract

Label-free optical imaging of the morphology of single nanoparticles under native conditions remains a challenging task despite its importance in the synthesis, properties, and applications of nanomaterials. Here, we developed an angular scanning dark-field scattering microscopy (ASDFSM) that can identify the particle morphologies by the features of their angle-dependent scattering intensities without increasing spatial resolution. ASDFSM can unambiguously resolve the morphology of single nanoparticles with sizes down to 1/5 wavelength of the incident light in a large field of view, facilitating the simultaneous imaging of a large number of nanoparticles with statistical significance. Coupling with a random forest machine learning algorithm, their morphologies can be well-identified with an average accuracy of 96%, facilitating monitoring of the corrosion and growth kinetics of single nanoparticles in a high-temperature solution. The ASDFSM possesses the advantages of high-throughput, noninvasiveness, dynamic traceability, and simplicity over the present methods, promising its wide applications in nanoscience.

Authors

  • Yuhao Zheng
    Key Laboratory of Drug Targets and Translational Medicine for Cardio-cerebrovascular Diseases, Medical Basic Research Innovation Center for Cardiovascular and Cerebrovascular Diseases, Ministry of Education, School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
  • Guohailin Xu
    Institute of Agricultural Engineering, Jiangsu University, Zhenjiang 212001, China.
  • Jingwen Chen
    Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, China. Electronic address: jwchen@dlut.edu.cn.
  • Xinyi Wang
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Dou Xu
    Key Laboratory of Drug Targets and Translational Medicine for Cardio-cerebrovascular Diseases, Medical Basic Research Innovation Center for Cardiovascular and Cerebrovascular Diseases, Ministry of Education, School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
  • Yapeng Li
    College of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; Image Processing and Intelligent Control Key Laboratory of Education Ministry of China, Wuhan 430074, China.
  • Mengwei Chen
    Key Laboratory of Drug Targets and Translational Medicine for Cardio-cerebrovascular Diseases, Medical Basic Research Innovation Center for Cardiovascular and Cerebrovascular Diseases, Ministry of Education, School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
  • Wenbo Jiang
    Department of Neurosurgery, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266011, China.
  • Jie Kong
  • Shan Chen
    National Academy of Economic Security, Beijing Jiaotong University, Beijing 100044, China.
  • Yimin Fang
    Key Laboratory of Drug Targets and Translational Medicine for Cardio-cerebrovascular Diseases, Medical Basic Research Innovation Center for Cardiovascular and Cerebrovascular Diseases, Ministry of Education, School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 211166, China.