19F NMR spectroscopy has been widely used as a convenient and noninvasive analytical technique for understanding complex natural phenomena at the atomic level. However, current NMR referencing techniques are most optimized for 1H NMR, which causes some limitations while referencing heteronuclear NMR. Despite its promising advantages, 19F NMR spectroscopy often exhibits large variations in experimental results and lacks consistency compared with 1H NMR. Herein, we propose a new strategy to improve the consistency of 19F NMR referencing using an internal standard method. As a proof-of-concept, BA-Py-TFP was applied as a sensor for diols via 19F NMR spectroscopy. This strategy proved to be a robust and reproducible referencing method with acceptable deviation (ΔδF = 43-58 ppb) across diverse NMR spectrometers at different institutions. In particular, this new strategy allows reliable fingerprint recognition for analytes and enables qualitative and quantitative analyses of mixtures of multiple analytes simultaneously. The high recovery rates for d-glucose in the human serum matrix suggest its potential suitability for a diverse range of applications, such as in diabetes-related diagnostics.