Metabolomics Creative Proteomics

Redox Cofactor Analysis Service

Unlock the redox balance behind your system with Creative Proteomics. Our redox cofactor analysis service delivers direct, quantitative insights into NAD⁺/NADH, NADP⁺/NADPH, GSH/GSSG, and flavins—helping you reveal metabolic efficiency, oxidative stress status, and process robustness with data you can trust.

Key advantages

Direct quantification — fmol–pmol sensitivity, isotope-dilution accuracy

Comprehensive coverage — pyridine nucleotides, glutathione, flavins, CoA thioesters

Robust QC — calibration r² ≥ 0.99, ≤15% RSD, pooled-QC drift correction

Preserved biology — cold quench, thiol stabilization, light/oxygen minimization

Actionable insights — ratios, Eₕ values, and interpretation-ready deliverables

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Redox Cofactors — What They Are and Why They Matter

Redox cofactors are the primary electron carriers that set the pace of metabolism and stress response: NAD⁺/NADH, NADP⁺/NADPH, GSH/GSSG, and FAD/FMN. Their absolute concentrations, ratios, and redox potentials (Eₕ) determine whether pathways run catabolic or anabolic, whether oxidative defenses hold, and whether engineered fluxes deliver the expected titer, rate, and yield.

Because these species are labile and matrix-sensitive, apparent shifts can be driven as much by sample handling as biology. Robust decisions therefore require true in-matrix preservation, selective chromatographic separation, and isotope-dilution quantification—not proxy readouts or single-enzyme kits. Measuring redox cofactors directly gives an early, quantitative window into pathway bottlenecks, antioxidant capacity, and process robustness across cultures, tissues, and complex broths.

What Problems We Solve for Our Clients

Understanding and maintaining redox balance is a central challenge in modern life sciences. Researchers working with microbial systems, mammalian cells, plants, or fermentation processes often encounter:

  • Incomplete insight into metabolic efficiency — Even when cultures grow well, subtle imbalances in NAD⁺/NADH or NADP⁺/NADPH can limit flux through critical pathways.
  • Uncertainty in oxidative stress evaluation — Conventional assays often fail to capture the real intracellular status of glutathione and other redox buffers.
  • Variability between experiments or scales — Redox cofactors are highly labile; without strict stabilization and quantitative control, comparisons across batches or bioreactors can be unreliable.
  • Limited reliability of indirect assays — Proxy measurements cannot substitute for direct quantification of cofactors at fmol–pmol sensitivity.
  • Lack of defensible, publication-quality evidence — Many studies require robust, transparent data packages that document calibration, recovery, and QC acceptance rules.

By focusing on the direct, quantitative measurement of NAD(H), NADP(H), glutathione, flavins, CoA thioesters, and related metabolites, Creative Proteomics helps clients overcome these barriers and obtain data they can trust for research, process development, and comparative studies.

What Our Redox Cofactor Analysis Service Provides

Core Redox Quant (Required)

Analytes: NAD⁺, NADH, NADP⁺, NADPH, GSH, GSSG, FAD, FMN

Performance: 6–8-point calibration (r² ≥ 0.99), typical RSD ≤ 10–15%; indicative on-column LLOQ: pyridine nucleotides low-fmol; GSH/GSSG low-pmol; scheduled MRM with dual-polarity.

Output Focus: Absolute concentrations, NAD⁺/NADH, NADP⁺/NADPH, GSH/GSSG ratios with uncertainty estimates.

Redox Potential (Eₕ) Calculation Pack

Scope: Nernst-based Eₕ for GSH/GSSG and NAD couples; transparent assumptions (n, E°′, pH).

Use Cases: Stress models, process redox window comparison, mechanism validation.

Extended Antioxidant Panel

Analytes: Ascorbate/DHA; Cysteine/Cystine (± γ-Glu-Cys, Cys-Gly).

Controls: Light/oxygen minimization; matrix-matched recovery 80–120%.

Applications: Antioxidant formulation screening, media/additive evaluation.

CoA Thioesters & Energy Coupling Add-on

Analytes: CoA, Acetyl-CoA, Succinyl-CoA, Malonyl-CoA; ATP/ADP/AMP for energy charge.

Value: Link carbon flux and energetic state to redox constraints.

Comparability & QC Planning

Content: Pooled-QC placement, bracketed checks, reference-sample strategy; drift and bias thresholds that trigger re-acquisition.

Deliverables: QC trend plots, weighted regression model (1/x or 1/x²), back-calculated bias tables.

Sampling & Stabilization Kit

Content: Matrix-specific submission guide, cold-quench solvents, NEM-preloaded tubes for thiol workflows, low-temperature autosampler guidance, light-blocking materials.

Benefit: Minimizes artifactual oxidation/reduction and enhances cross-batch comparability.

Method Customization & Transfer

Content: Column options (e.g., ZIC-HILIC, BEH Amide), transition list, retention windows, qualifier/quantifier ion-ratio tolerances, optional SPE cleanup.

Use: Internal repeatability, cross-site technology transfer, publication-ready methods appendix.

Detected Redox Cofactors & Related Analytes (Configurable Panel)

Class Primary Targets Optional/Related Typical Purpose
Pyridine nucleotides NAD⁺, NADH, NADP⁺, NADPH Nicotinamide, NMN Central redox currency; catabolic vs anabolic balance.
Glutathione system GSH, GSSG γ-Glu-Cys, Cys-Gly Intracellular redox buffer; GSH/GSSG and Eₕ(GSH) track oxidative load.
Flavins FAD, FMN Riboflavin Dehydrogenase cofactors; light sensitive—protected handling.
Thiol pairs Cysteine (Cys), Cystine (CySS) Homocysteine Extracellular redox indicator; complements GSH.
Ascorbate system Ascorbate (AA), Dehydroascorbate (DHA) Aqueous antioxidant capacity; matrix-dependent stability control.
CoA thioesters CoA, Acetyl-CoA, Succinyl-CoA, Malonyl-CoA Couple carbon flux and redox state.
Energy charge ATP, ADP, AMP Contextualize redox with energetic status.
Pterins BH₄, BH₂ Specialized redox pair (on request).

Why Choose Our Redox Cofactor Analysis: Key Advantages

  • Isotope-dilution accuracy: 13C/15N internal standards with matrix-matched calibration; weighted 1/x or 1/x² regression; documented r² ≥ 0.99.
  • Actionable precision: Typical intra-batch RSD ≤ 10–15%; between-batch comparability monitored by pooled-QC trendlines and bracketed checks.
  • Sensitivity aligned to biology: Indicative on-column LLOQ — NAD(P) couples: low-fmol; GSH/GSSG: low-pmol; FAD/FMN: sub- to low-pmol (matrix dependent).
  • Low artifact risk: NEM-trapped thiols, oxygen/light minimization, pH-controlled extraction; carryover ≤ 20% of LLOQ or re-acquisition.
  • Transparent QC logic: You receive transitions, retention windows, qualifier/quantifier ion ratios, recoveries, and acceptance criteria.

What Methods Are Used for Redox Cofactor Analysis

Chromatographic Separation

  • UHPLC systems (Thermo Vanquish, Agilent 1290, Waters ACQUITY)
  • HILIC columns (ZIC-HILIC, BEH Amide) for polar cofactors
  • Optimized volatile buffers with pH control to stabilize redox states

Mass Spectrometry

  • Triple quadrupole MS (TSQ Altis, 6495C, Xevo TQ-S, QTRAP 6500+)
  • ESI source with fast polarity switching
  • Scheduled MRM with analyte-specific collision energies

Calibration & Sensitivity

  • 6–8 point calibration curves (weighted 1/x regression)
  • Linearity: r² ≥ 0.99
  • Detection range: low fmol to pmol on-column depending on analyte
  • Isotope-labeled internal standards for accuracy

Quality Control

  • Pooled QC interleaving for drift correction
  • Replicate RSD typically ≤10–15%
  • Carryover ≤20% of LLOQ
Waters ACQUITY UPLC System

Waters ACQUITY UPLC System (Figure from Waters)

SCIEX Triple Quad 6500+

SCIEX Triple Quad™ 6500+ (Figure from Sciex)

Agilent 1260 Infinity II HPLC

Agilent 1260 Infinity II HPLC (Figure from Agilent)

Agilent 6495C Triple quadrupole

Agilent 6495C Triple quadrupole (Figure from Agilent)

How Our Redox Cofactor Assay Works — Step-by-Step Process

1

Study design alignment – Define panel, matrices, QC accept/reject rules, and randomization plan.

2

Stabilized sampling – Provide submission kit, NEM-preloaded tubes for thiol workflows, and matrix-specific quench instructions.

3

Extraction & cleanup – Cold organic quench, pH-controlled buffers, light/oxygen minimization, optional SPE for complex matrices.

4

UHPLC–MS/MS acquisition – Scheduled MRM, internal standards, bracketed verification, pooled QC interleaving.

5

Processing & QC review – Calibration fit, precision, recovery, carryover checks; flagged items re-processed or re-acquired per rules.

6

Reporting & interpretation – Concentrations, ratios, Eₕ calculations (Nernst), effect sizes, and method/QC appendix.

Redox Cofactor Analysis Workflow

Sample Requirements for Redox Cofactor Assay

Sample Type Minimum Amount Stabilization Storage & Shipping Notes
Cultured cells (mammalian) 1–5×10⁶ cells Cold organic quench; NEM for thiols Dry ice; protect from light Provide media, plate format, and harvest plan.
Microbial pellets/broth Pellet from defined OD or 200–500 µL broth Rapid quench; pH control Dry ice Indicate carbon source and oxygenation strategy.
Tissues/biomass 10–50 mg wet weight Snap-frozen, pulverized Dry ice Avoid repeated freeze–thaw.
Biofluids (plasma/serum) 50–100 µL Antioxidant handling per panel Dry ice Hemolysis status recommended.
Plant material 20–50 mg Light-protected quench Dry ice Record photoperiod or stress condition if applicable.

Deliverables: What You Get from Our Redox Cofactor Analysis

  • Quant results: Absolute concentrations for each target; ratios (NAD⁺/NADH, NADP⁺/NADPH, GSH/GSSG).
  • Calculated metrics: Eₕ values for glutathione and pyridine nucleotides with documented assumptions (n, E°′, pH).
  • QC dossier: Calibration curves and statistics (r², back-calculated bias), LLOQ/ULOQ, spike-recovery, precision, carryover, and pooled-QC trendlines.
  • Data package: Raw vendor files, processed peak tables, transition lists, and a methods appendix (column, mobile phases, MRM transitions, source settings).
  • Interpretation brief: Concise commentary on significant shifts, effect sizes, and study-design-aware caveats.
  • Consultation: Optional review session to align findings with your next experimental step.
NAD⁺ calibration curve with linear fit and correlation coefficient.

Calibration curve for NAD⁺ showing linear regression with r² ≥ 0.99, confirming accurate quantitation across the validated range.

Extracted ion chromatogram showing internal standard, NAD⁺, and NADH peaks.

Representative MRM chromatogram displaying separation of internal standard, NAD⁺, and NADH with clear peak resolution.

MS/MS fragmentation spectrum with labeled peaks at specific m/z values.

Representative MS/MS spectrum highlighting characteristic fragment ions for cofactor identification and confirmation.

Bar chart showing redox ratio or E comparison between control and treatment groups.

Comparative bar plot illustrating control versus treatment group differences in redox ratio/Eₕ with error bars.

How do you prevent artifactual oxidation/reduction during prep?

Cold organic quenching, pH-controlled buffers, NEM thiol trapping, minimized oxygen/light exposure, and a chilled autosampler reduce ex-vivo exchange. Acceptance rules force re-acquisition if QC drift is detected.

Can I compare datasets across different studies or sites?

Yes—matrix-matched calibration, internal standards, pooled QC, and documented transitions enable cross-batch comparability. We recommend carrying a common reference sample across studies.

Why use UHPLC–MS/MS instead of colorimetric or fluorometric kits?

MRM with isotope-dilution provides absolute quantitation with higher selectivity and better matrix correction, especially in complex media or fermentation broths.

Do you provide redox potentials (Eₕ)?

Yes. We compute Eₕ for relevant couples (e.g., GSH/GSSG, NAD⁺/NADH) via the Nernst equation with explicit reporting of assumptions (stoichiometry n, standard potentials E°′, pH).

What if my samples are photosensitive or oxygen-sensitive?

We supply light-blocking materials and configure degassed mobile phases and capped autosampler vials; handling is documented in the methods appendix.

Can the panel include CoA thioesters and energy-charge metrics?

Yes. CoA thioesters and ATP/ADP/AMP are common extensions that contextualize redox with carbon flux and energetic state.

How do you handle interferences from salts or media components?

HILIC separation with validated retention windows, qualifier/quantifier ion ratio checks, and matrix-matched calibration minimize false positives and ion suppression.

What replication strategy should I plan for?

For differential studies, biological replicates strengthen inference; we can recommend replicate counts based on your expected effect size and RSD targets.

Can I receive transition lists and methods for internal repeatability?

Yes. Transition lists, retention windows, and source settings are included, supporting transparency and method transfer within your organization.

Is stable-isotope tracer flux analysis included?

This service focuses on absolute cofactor quantitation. If you require flux tracing, we can scope an add-on using tailored isotopologues.

High Levels of Oxidative Stress Early after HSCT Are Associated with Later Adverse Outcomes

Cook, E., Langenberg, L., Luebbering, N., Ibrahimova, A., Sabulski, A., Lake, K. E., … Davies, S. M.

Journal: Transplantation and Cellular Therapy

Year: 2024

Glycine supplementation can partially restore oxidative stress-associated glutathione deficiency in ageing cats

Ruparell, A., Alexander, J. E., Eyre, R., Carvell-Miller, L., Leung, Y. B., Evans, S. J., … Watson, P.

Journal: British Journal of Nutrition

Year: 2024

Inflammation primes the kidney for recovery by activating AZIN1 A-to-I editing

Heruye, S., Myslinski, J., Zeng, C., Zollman, A., Makino, S., Nanamatsu, A., … Hato, T.

Journal: bioRxiv

Year: 2023

Enhance trial: effects of NAD3® on hallmarks of aging and clinical endpoints of health in middle aged adults: a subset analysis focused on blood cell NAD+ concentrations and lipid metabolism

Roberts, M. D., Osburn, S. C., Godwin, J. S., Ruple, B. A., La Monica, M. B., Raub, B., … Lopez, H. L.

Journal: Physiologia

Year: 2022

Insulin resistance does not impair mechanical overload-stimulated glucose uptake, but does alter the metabolic fate of glucose in mouse muscle

Weyrauch, L. A., McMillin, S. L., & Witczak, C. A.

Journal: International Journal of Molecular Sciences

Year: 2020

Novakomyces olei sp. nov., the First Member of a Novel Taphrinomycotina Lineage

Čadež, N., Dlauchy, D., Tome, M., & Péter, G.

Journal: Microorganisms

Year: 2021

For Research Use Only. Not for use in diagnostic procedures.
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