Quenchometric Strategies for Determining O_2 in the 99- 100 Region

摘要

We describe a luminescence-based quenchometric sensor arrays that exploit tailored class Ⅱ xerogels doped with a luminophore (tris(4,7-diphenyl-1,10-phenanthroline)ruthenium(Ⅱ) (Ru(dpp)_3)~(2+)), Pt(Ⅱ) meso-tetra(N-methyl-4-pyridyl)porphyrin tetrachloride (PtTMP), or Pt(Ⅱ) octaethylporphine (PtOEP)) in concert with an artificial neural network. The xerogel response to O_2 is tuned by choice of luminophore dnd the xerogel composition. The xerogel composition is controlled by changing the sol precursors and their mole fractions. A three layer multilayer perceptron network with backward error propagation was used for training. The collective microarray platform exhibited the ability to discriminate O_2 concentrations from 0.05% to 100% O_2; in the 99-100% region the resolution is 0.2 % O_2.