Foundations of Quantification era
Brunauer, Emmett, and Teller pioneered the BET theory in 1938, providing a standardized, instrument-based route to surface-area characterization that linked adsorption measurements to industrial specifications. Pierre Lecomte du Noüy's ring tensiometer and Louis Wilhelmy's plate method established rigorous interfacial tension measurements and wetting descriptors that underpinned quantitative surface science. The Debye-Scherrer powder diffraction method, developed by Peter Debye and Paul Scherrer, provided a standardized route to crystalline structure and particle size in polycrystalline samples. Hermann A. Zimm's light-scattering theory for molecular-weight determination, elaborated in 1948 and complemented by André Guinier's early scattering work, established a foundational quantitative link between scattered light and polymer molecular weight.
Modeling and Calibration era
Herman Wold, a foundational figure in chemometrics, introduced latent-variable modeling and partial least squares regression that enabled extraction of concentrations from highly collinear spectroscopic and chromatographic data in the 1960s through the 1980s. Lars Martens and Harald Naes developed practical chemometrics and multivariate calibration frameworks, systematizing PCR and PLS techniques and guiding their application to spectroscopy, chromatography, and process analytics in the 1980s. Michael Geladi advanced calibration practice with emphasis on validation, preprocessing, and cross-validation, shaping how multivariate models are assessed and deployed on noisy datasets. Together these figures helped institutionalize calibration procedures and robust regression in quantitative analysis, turning signal-processing concepts and parameter extraction into reliable, interpretable models across analytical chemistry disciplines.
High-Throughput Quantitative Analytics era
Peter Politzer [1] is associated with institutions such as Massachusetts Institute of Technology [3] and University of California, Los Angeles [4] during this era. His notable contribution in this era comes from Quantitative analysis of molecular surfaces: areas, volumes, electrostatic potentials and average local ionization energies [7], which advanced standardized, high-throughput descriptor calculations enabling cross-platform quantification for diagnostics and multi-omics pipelines. Jane S. Murray [2] is associated with University of Utah [5] and Korea Advanced Institute of Science and Technology [6] during this era. Her contributions, as reflected in Quantitative analysis of molecular surfaces: areas, volumes, electrostatic potentials and average local ionization energies [7], helped enable interoperable, scalable quantification across imaging, omics, and materials platforms in this era.