Quantum Sensing & Molecular Diagnostics
QSensing · Research Area 4 of 4
Quantum Sensing &
Molecular Diagnostics
The quantum capacitance Cq of a molecularly engineered electrode interface is not just a spectroscopic observable — it is a thermodynamic probe. When a disease biomarker binds to a receptor at that interface, Cq shifts because the electronic density of states shifts. That shift is the detection signal, requiring no labels, no enzymes, and no optical readout.
Part 1 · QEDs
The Unifying Framework
ν = e²/hCq as the master equation of electron transfer and transport.
Part 2 · QM-Wet
The Role of Water
Isoscopic condition Ce ≈ Cq and quantum coherence at room temperature.
Part 3 · QElectChem
Quantum Electrochemistry
Marcus and LDK as limiting cases; parameter-free rate predictions from Cq.
Part 4 · QSensing
Molecular Diagnostics
Cq-based assays for disease biomarkers and drug-target binding affinities.
The transducer signal is quantum mechanical
Parts 1–3 established that the quantum capacitance Cq of a redox-active molecular film on an electrode is directly proportional to the film's electronic density of states (DOS): Cq = e²(dn/dE). Under isoscopic conditions — where the electrostatic capacitance Ce is screened by the electrolyte to a value comparable to Cq — the quantum resistance locks at Rq = h/2e² ≈ 12.9 kΩ, and the entire electrochemical energy of the interface is encoded in Cq alone through E = e²/Cq.
Now introduce a molecular recognition event: an aptamer, a DNA probe, or an antibody immobilised on the film binds its target analyte. This binding redistributes charge across the redox states of the monolayer, reducing the occupancy available at the formal potential. The DOS narrows. Cq decreases. The relative response RR(%) = [(1/Cq,i) − (1/Cq,0)]/(1/Cq,0) × 100 rises monotonically with analyte concentration and follows a Langmuir isotherm — not because we designed it that way, but because the statistical mechanics of site occupancy and the quantum mechanics of the DOS are governed by the same Fermi–Dirac distribution function. The detection signal is not an indirect proxy; it is the thermodynamic consequence of molecular recognition at the quantum level.
The master relation: within QR theory, the quantum energy of the interface satisfies e²/Cq = ε + kBT ln Ka + kBT ln[L], where ε is the adsorption energy, Ka is the binding affinity constant, and [L] is the analyte concentration. A single electrochemical impedance spectroscopy (EIS) titration thus simultaneously delivers the analytical calibration curve and the thermodynamic binding free energy ΔG° = −kBT ln Ka.
The architecture of a quantum biosensor
A QSensing assay is built in three physically distinct layers. Understanding this architecture makes clear why the approach outperforms label-based alternatives in sensitivity, speed, and information content.
Three classes of quantum interface
The QSensing platform is not limited to one electrode chemistry. Three LDSS architectures have been validated, each with distinct sensitivity and application profiles.
Redox-SAM interfaces
Ferrocene-tagged peptide monolayers on gold. Prototype validated in the Nature Protocols 2020 paper for dengue NS1 detection in serological patient samples — qualitative (yes/no) and quantitative (fM–nM) formats. Typical Cq at Vr: ~200 µF cm⁻². LOD for protein biomarkers: low pM without amplification; aM with ferrocenecarboxylic acid amplification.
Graphene interfaces
Single-layer graphene (SLG) modified with antibodies via EDC/NHS coupling to graphene's carboxyl groups. Demonstrated for SARS-CoV-2 S and N protein detection from nasopharyngeal swab specimens (80% sensitivity, 77% specificity vs. RT-PCR). Graphene's intrinsically low DOS at the Dirac point gives attomolar sensitivity — bilayer graphene resolved CRP down to 0.167 ag mL⁻¹.
Quantum dot interfaces
CdTe or similar QDs assembled on gold via an L-cysteine bridge. The QR spectroscopic method resolves the full DOS of the QD (valence sh/ph states, conduction se/pe states, trap states Et) at room temperature — information previously requiring STS at 5 K and ultra-high vacuum. Functionalised QDs extend sensing to targets where the QD's discrete energy levels amplify the Cq response.
Dual capability: diagnostics and drug discovery
Most biosensors are one-dimensional instruments: they return a concentration. The QSensing platform returns two independent pieces of information from a single EIS titration, and this is a direct consequence of QR theory.
The Hanes–Woolf linearisation of the Langmuir isotherm — plotting [L]/Cq against [L] — yields the dissociation constant Kd = 1/Ka from the x-intercept without any knowledge of the adsorption energy ε. This is the diagnostic channel: a quantitative calibration curve from which an unknown concentration is read. For an HNSCC-related DNA biomarker, the unamplified configuration gave Kd = 26.7 pM (Ka = 3.75 × 1010 M⁻¹) with LOD = 1.5 fM; the ferrocenecarboxylic acid-amplified configuration pushed the LOD to 2.2 aM.
The logarithmic calibration — plotting e²/Cq against ln[L] — has a slope rigorously equal to kBT ≈ 25.7 meV at 298 K, independent of analyte identity, receptor type, or electrode chemistry. This slope is an internal quality-control criterion: any deviation flags non-ideal interactions. The intercept delivers ΔG° = −kBT ln Ka directly. This is the drug-discovery channel: binding free energy determination without milligram quantities of analyte and without the non-specific adsorption artefacts that recently invalidated a widely cited CRP aptamer characterised by SPR.
Thermodynamic validation built in: because Rq and Cq are extracted from different spectroscopic observables in the same EIS spectrum, they are parametrically independent. Invariance of Rq across the analyte titration — verified at ≈ 12.9 kΩ for the unamplified redox-SAM configuration — certifies that the Cq modulation has a purely thermodynamic origin. No resistance-based biosensor and no SPR instrument provides an equivalent self-consistency test.
Disease applications: four clinical frontiers
The group's QSensing programme targets four pathological domains where early molecular detection most directly alters clinical outcomes.
Oncology
Cancer Biomarker Detection
Aptasensor and antibody-functionalised redox-SAM platforms for CEA, PSA, HER2/neu, AFP, ADAM10, and cancer-associated DNA sequences. The QR framework predicts the expected ΔCq for a given receptor–analyte pair from the equilibrium DOS — turning interface design from trial-and-error into a physics-constrained specification. Femtomolar detection in undiluted serum demonstrated without pre-concentration.
Neurology
Neurodegeneration
Assays targeting amyloid-β oligomers, tau, phospho-tau, α-synuclein (a Parkinson's biomarker, validated in the group's capacitive biosensing work), and ADAM10 — an Alzheimer's disease biomarker for which QR affinity measurements yielded Ka values systematically higher than ELISA, ITC, BLI, and SPR applied to the same analyte, owing to the lower measurement concentrations enabled by attomolar sensitivity.
Cardiology
Cardiac & Pulmonary
Rapid Cq-based quantification of cardiac troponins, D-dimer, BNP, and IL-6. The reagentless, label-free format operates directly in plasma without cold-chain reagents or washing steps. The EIS measurement is compatible with portable potentiostats — demonstrated with PalmSens4 — enabling point-of-care workflows. D-dimer detection was validated electrochemically with label-free capacitive signal transduction.
Infectious Disease
Pathogen & Viral Detection
Graphene-based QR biosensor for SARS-CoV-2 spike (S) and nucleocapsid (N) proteins from nasopharyngeal/oropharyngeal swab specimens — demonstrated in real patient samples against RT-PCR as the gold standard, with sensitivity exceeding rapid antigen tests. Dengue NS1 detection in serological samples validated qualitatively (26 patient samples, positive/negative classification) and quantitatively (NS1 10–1000 ng mL⁻¹, R² = 0.96).
From bench to point-of-care
Three practical challenges separate a QSensing research demonstration from a deployable diagnostic. The group addresses each through the physics of the platform rather than through engineering work-arounds.
Matrix tolerance — the dominant failure mode of label-free biosensors in real biological samples — is mitigated at its source by the measurement geometry. Because the EIS signal is read at the formal potential Vr of the redox tag, and non-specific protein adsorption does not carry faradaic current, the Cq signal is inherently selective for electrochemically active perturbations of the monolayer. SuperBlock blocking buffer further suppresses non-specific binding; validated protocols for both serum and nasopharyngeal samples have been published (Nature Protocols 2020; ACS Sensors 2022).
Batch-to-batch reproducibility is addressed by the isoscopic criterion itself. Because QR theory predicts the absolute value of Rq ≈ 12.9 kΩ for a well-formed redox monolayer at the isoscopic condition, an electrode whose impedance spectrum does not recover this value within tolerance fails the quantum check before it contacts a patient sample. This converts a physical law into a manufacturing specification — an internal quality control unavailable to any conventional analytical format.
Miniaturisation and multiplexing follow directly from the electrochemical readout. The entire measurement chain — gold microelectrode, three-electrode cell, portable impedance analyser — fits in a device smaller than a glucose reader. Multiplexed electrode arrays, each carrying a different receptor, can be read by the same single-frequency protocol. A chip carrying simultaneous assays for cancer, cardiac, and infectious-disease biomarkers from a 5–10 µL blood drop is the translational endpoint of a research programme that begins with the Planck relation and arrives at the emergency room. ← Back to Part 3 — Quantum Electrochemistry
Key Publications
Quantum capacitance as a dual transducer signal for molecular diagnostics and drug discovery applications
O. Carr, P. R. Bueno · Biosensors & Bioelectronics 270, 116910
View article →Quantum electroanalysis in drug discovery
P. R. Bueno · Chemical Communications 61, 8632
View article →Reagentless quantum-rate-based electrochemical signal of graphene for detecting SARS-CoV-2 infection using nasal swab specimens
B. L. Garrote, L. C. Lopes, E. F. Pinzón, F. C. Mendonça-Natividade, R. B. Martins, A. Santos, E. Arruda, P. R. Bueno · ACS Sensors 7, 2645
View article →Label-free capacitive assaying of biomarkers for molecular diagnostics
B. L. Garrote, A. Santos, P. R. Bueno · Nature Protocols 15, 3879
View article →Quantum-capacitive biosensing of ADAM10 protein
B. L. Garrote, L. C. Lopes, M. R. Cominetti, R. C. Faria, P. R. Bueno · Sensors and Actuators B 427, 137208
View article →A unified quantum rate theory of electron transfer: conceptual advances in quantum electrochemistry
P. R. Bueno · Chemical Society Reviews · DOI: 10.1039/d5cs01301a
View article →