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Radical Autoxidation

Radical Autoxidation

The oxidation of an organic compound in the presence of air or oxygen is called autoxidation. For example, cumene reacts with oxygen to form hydroperoxide. Autoxidation involves initiation, propagation, and termination steps. Many organic compounds are susceptible to autoxidation—especially ethers in the presence of oxygen, which form hydroperoxides. Even though this reaction is slow, old ether bottles contain small amounts of peroxide, which leads to laboratory explosions during ether...

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Related Experiment Video

Updated: Oct 31, 2025

$High Pressure Single Crystal Diffraction at PX^2$

High Pressure Single Crystal Diffraction at PX^2

Published on: January 16, 2017

The RADx Tech Deep Dive and Work Package 1 Process.

Michael Dempsey¹, Paul Tessier¹, John Collins²

¹Consortia for Improving Medicine with Innovation and Technology (CIMIT)Massachusetts General Hospital and Harvard Medical School Boston MA 02114 USA.

IEEE Open Journal of Engineering in Medicine and Biology

|June 30, 2021

Summary

This summary is machine-generated.

The RADx Tech program accelerated diagnostic test development for SARS-CoV-2 (COVID-19) through funding and intensive expert collaboration. This unique approach de-risked projects, ensuring rapid market introduction of vital medical diagnostics.

Keywords:

RADx SBIR commercialization funding translational research

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Area of Science:

Biotechnology
Medical Diagnostics
Public Health

Background:

The COVID-19 pandemic necessitated rapid development of diagnostic tests.
Existing funding mechanisms often lack the intensive support required for swift market entry.

Purpose of the Study:

To describe the structure and impact of the RADx Tech program.
To highlight the program's unique approach to accelerating diagnostic test development.

Main Methods:

The RADx Tech program utilized a "deep dive" evaluation process involving intensive collaboration between applicants and expert teams.
Post-evaluation, projects entered a Work Package 1 (WP1) phase focused on de-risking and further development.

Main Results:

The "deep dive" provided a comprehensive understanding of project potential and risks, exceeding typical grant application insights.
Recommendations included funding, additional support, or project rejection based on the deep dive assessment.
Joint responsibility between RADx Tech teams and applicants in WP1 facilitated progress.

Conclusions:

The RADx Tech program's model, combining funding with intensive, collaborative support, proved effective in accelerating the market introduction of SARS-CoV-2 diagnostic tests.
This approach enhanced informed decision-making and project success rates.