Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
ML-assisted simultaneous multi-parameter screening for efficient flow
Our group started to study more advanced optimization techniques using machine learning to present a simpler, more practical, and rapid process for predicting the optimum reaction conditions that can be applied to several manufacturing environmentally sustainable processes.
Arginine-modified black phosphorus quantum dots with dual excited states for enhanced electrochemiluminescence in bioanalysis
Ju’s group found a dual excited states-mediated electrochemiluminescence (ECL) mechanism from both the S1 and T1 species with black phosphorus quantum dots (BPQDs) as a nanoemitter, and proposed a strategy to modulate the excited states via arginine modification to enhance the ECL efficiency.
