Aims: Quantum-Resonant Energy Coupling–Molecular Resonance Technology (QREC-MRT) is a remotely implemented, non-contact technology platform intended for application across selected material, energy and biological systems. This study develops a quantitative, physics-informed and falsifiable framework for evaluating QREC-MRT and uses coal as a worked empirical case study. The physical coupling pathway is treated separately from target identification and remains under investigation.

Methodology: Two coal specimens identified as before and after QREC-MRT intervention were independently analysed by SGS India Private Limited. Gross calorific value (GCV) was measured using ASTM D5865/D5865M-19 and analysis-sample moisture using ASTM D3173/D3173M-17a. Absolute and relative between-specimen differences were calculated. A broader validation model was formulated using prespecified endpoints, normalised responses, active-control and active-sham contrasts, replication requirements and progressively stronger evidentiary levels.

Results: Air-dry GCV increased from 4,057 to 5,160 kcal/kg, corresponding to

+27.20%, while dry-basis GCV increased from 4,122 to 5,206 kcal/kg, corresponding to +26.30%. Analysis-sample moisture decreased from 1.57% to 0.88% w/w, corresponding to −43.95%. Moisture normalisation reduced the relative GCV difference by only 0.90 percentage points, indicating that the measured moisture difference alone cannot mathematically account for the observed calorific-value difference.

Conclusion: The coal measurements provide quantitative observational endpoints consistent in direction with the QREC-MRT coal hypothesis, but the available single paired dataset does not establish treatment-specific causation because untreated and sham controls, randomisation, blinding, independent replicates, paired compositional analyses and complete pre-laboratory chain-of-custody documentation were unavailable. The proposed framework therefore separates analytical observation, reproducibility, controlled treatment association and physical mechanism. Coal serves as the present empirical case study, while the same validation architecture can be adapted to other QREC-MRT domains using appropriate endpoints, controls and independent measurements.

 

Keywords: QREC-MRT; quantitative validation; molecular resonance; falsifiability; coal; gross calorific value; experimental design.