A colorimetric sensor array for the classification of biologically relevant tri-, di- and mono-phosphates.
Vincent E ZwickerGenevieve E SergeantElizabeth J NewKatrina A JolliffePublished in: Organic & biomolecular chemistry (2021)
We describe here a supramolecular sensing system for the array-based classification of biologically relevant mono-, di-, and tri-phosphates in aqueous buffer. The system is based on a colorimetric indicator displacement assay (IDA) with six sensor elements. Each sensor element is comprised of an equimolar cyclic peptide-colorimetric indicator ensemble. Correct classification of the eleven analytes into mono-, di-, tri-, or pyrophosphate was achieved through both principal component analysis (PCA) and linear discriminant analysis (LDA).
Keyphrases
- gold nanoparticles
- deep learning
- machine learning
- hydrogen peroxide
- sensitive detection
- high throughput
- fluorescent probe
- biofilm formation
- high resolution
- convolutional neural network
- aqueous solution
- ionic liquid
- staphylococcus aureus
- mass spectrometry
- candida albicans
- single cell
- high density
- label free
- energy transfer