What does this research mean for the field?

Reproducibility in analytical biochemistry requires treating kinetic and binding constants as inferred measurands derived from instrumental signals through an auditable measurement chain with explicit uncertainty statements, rather than as directly observed values. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To establish an auditable measurement-science roadmap that treats reproducibility in analytical biochemistry as the recovery of a specified measurand with explicit uncertainty statements.

September 8, 2026ACS Measurement Science AuOpen Access

From Signals to Measurands: A Measurement-Science Roadmap for Reproducible Analytical Biochemistry

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SSSantiago SchnellDartmouth College

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Implication

Methodological analysis reveals that experimental design and active-site uncertainty govern kinetic parameter identifiability in analytical biochemistry, highlighting the need for metrological...

Key Points

To establish an auditable measurement-science roadmap that treats reproducibility in analytical biochemistry as the recovery of a specified measurand with explicit uncertainty statements.
Simulated progress-curve experiments for Michaelis–Menten substrate depletion across different concentration sampling regimes using identical noise and parameter models.
Evaluated the propagation of active-site concentration uncertainty, signal calibration, and parameter confounding across enzyme kinetics and ligand–receptor binding systems.
Synthesized metrological principles, identifiability analysis, enzymology reporting standards, and machine-readable data structures into a three-tiered implementation hierarchy.
Both substrate-depletion designs fit progress curves well, but only sampling concentrations near the Michaelis constant (KM) produced a bounded confidence interval for KM.
Uncertainty in active-site concentration dominated the uncertainty of the catalytic constant (kcat) regardless of curve-fitting precision.
Established a prioritized framework spanning minimum reporting practices, robust parameter identifiability support, and reference-grade orthogonal validation.

Cite This Study

Santiago Schnell (2026) studied this question.

synapsesocial.com/papers/6a9fd70a58e84d0ff5b4597c https://doi.org/10.1021/acsmeasuresciau.6c00198

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Implication

Methodological analysis reveals that experimental design and active-site uncertainty govern kinetic parameter identifiability in analytical biochemistry, highlighting the need for metrological...

From Signals to Measurands: A Measurement-Science Roadmap for Reproducible Analytical Biochemistry

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Cite This Study

From Signals to Measurands: A Measurement-Science Roadmap for Reproducible Analytical Biochemistry

Discussion

Member takes

Implication

Key Points

Cite This Study

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