TY - JOUR
T1 - Determination of the pKa and concentration of NMR-invisible molecules and sites using NMR spectroscopy
AU - Hussain, Haider
AU - Khimyak, Yaroslav Z.
AU - Wallace, Matthew
N1 - Data Availability Statement: The data underlying this study are openly available at https://research-portal.uea.ac.uk/en/datasets/
Acknowledgments: M.W. thanks UKRI for a Future Leaders Fellowship (MR/T044020/1). H.H. thanks the UEA Faculty of Science for a PhD studentship. We are grateful for use of the University of East Anglia (UEA) Faculty of Science NMR facility.
PY - 2024/12/17
Y1 - 2024/12/17
N2 - NMR spectroscopy is a very powerful tool for measuring the dissociation constants (pKa) of molecules, requiring smaller quantities of samples of lower purity relative to potentiometric or conductometric methods. However, current approaches are generally limited to those molecules possessing favorable pH-dependent NMR properties. Typically, a series of 1D experiments at varying pH are performed, and the pKa is obtained by fitting the observed chemical shift of the analyte as a function of pH using nonlinear routines. However, the majority of polymers, biomolecules, and inorganic species do not present favorable NMR resonances. Either the resonances are not observable or too broad, or the unambiguous interpretation of the NMR data is impossible without resorting to complex 2D experiments due to spectral overlap. To overcome these fundamental limitations, we present a method to obtain the pKa values and concentrations of acidic species without their direct observation by NMR. We instead determine the quantity of acidic protons removed from the species along a concentration gradient of an organic base in a single 1H chemical shift imaging experiment that can be run under automation. The pKa values are determined via simple linear plots, avoiding complex and potentially unreliable nonlinear fitting routines.
AB - NMR spectroscopy is a very powerful tool for measuring the dissociation constants (pKa) of molecules, requiring smaller quantities of samples of lower purity relative to potentiometric or conductometric methods. However, current approaches are generally limited to those molecules possessing favorable pH-dependent NMR properties. Typically, a series of 1D experiments at varying pH are performed, and the pKa is obtained by fitting the observed chemical shift of the analyte as a function of pH using nonlinear routines. However, the majority of polymers, biomolecules, and inorganic species do not present favorable NMR resonances. Either the resonances are not observable or too broad, or the unambiguous interpretation of the NMR data is impossible without resorting to complex 2D experiments due to spectral overlap. To overcome these fundamental limitations, we present a method to obtain the pKa values and concentrations of acidic species without their direct observation by NMR. We instead determine the quantity of acidic protons removed from the species along a concentration gradient of an organic base in a single 1H chemical shift imaging experiment that can be run under automation. The pKa values are determined via simple linear plots, avoiding complex and potentially unreliable nonlinear fitting routines.
UR - http://www.scopus.com/inward/record.url?scp=85211058469&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.4c03596
DO - 10.1021/acs.analchem.4c03596
M3 - Article
VL - 96
SP - 19858
EP - 19862
JO - Analytical Chemistry
JF - Analytical Chemistry
SN - 0003-2700
IS - 50
ER -