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Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

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The NanoInformatics Knowledge Commons: Capturing spatial and temporal nanomaterial transformations in diverse

Jaleesia D Amos¹, Yuan Tian¹, Zhao Zhang¹

¹Center for the Environmental Implications of Nano Technology (CEINT), United States; Civil & Environmental Engineering, Duke University, Durham, North Carolina 27708, United States.

|May 13, 2022

Summary

The NanoInformatics Knowledge Commons (NIKC) Database and Instance Organizational Structure (IOS) organize nano-data for reproducibility and accessibility. This enables analysis of nanomaterial transformations and environmental behavior.

Keywords:

Database Environmental nanotechnology Nanoinformatics Nanomaterials Transformations

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Area of Science:

Nanoinformatics
Environmental Science
Materials Science

Background:

The nano-community requires integrated informatics for reproducible and accessible nano-data.
Capturing complex nanomaterial-environment interactions over time is crucial.

Purpose of the Study:

Introduce the NanoInformatics Knowledge Commons (NIKC) Database and Instance Organizational Structure (IOS).
Detail the developmental process and curated contents of the NIKC database.
Present the Collaboration Tool for fostering research teams.

Main Methods:

Designed the Instance Organizational Structure (IOS) to record metadata on nanomaterial transformations.
Transformed published and ongoing data into the IOS for analysis.
Incorporated researcher needs, focusing on research questions and data requirements.

Main Results:

The IOS facilitates telling the full transformational journey of nanomaterials.
Curated data is prepared for analyzing relationships between phenomena and material/medium characteristics.
The NIKC database and tools support scientific inquiry and collaboration.

Conclusions:

The NIKC database and IOS enhance nano-data accessibility and reproducibility.
The developed tools aim to elucidate nanomaterial behavior, predict exposure, and identify key characterization assays.
Focusing on user needs ensures the usability and analytical capability of nanoinformatic tools.