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Targeted Organic Acids Quantification by LC–MS/MS

Organic acids sit at the crossroads of energy metabolism, redox balance, flavor, and microbial activity. When their levels shift, it often reflects deeper changes in central carbon metabolism, gut microbiota function, food quality, or environmental status.

Creative Proteomics offers an LC–MS/MS-based Organic Acids Analysis Service that quantitatively profiles 60+ organic acids in a wide range of biological, food, and environmental samples. By combining a targeted organic acid panel with robust quality control and pathway-aware data interpretation, we help you turn concentration values into mechanistic insights that support your research decisions.

With this service, you can:

  • Quantify key TCA-cycle and central carbon organic acids with pmol-level sensitivity.
  • Monitor short-chain fatty acids and fermentation acids to link microbial activity with host metabolism or product quality.
  • Characterize plant and food-related organic acids that drive flavor, acidity, freshness, and processing stability.
  • Integrate organic acid readouts into targeted metabolomics workflows for oncology, immunometabolism, microbiome, agriculture, and food science.
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What Are Organic Acids and Why Analyze Them?

Organic acids are small, acidic metabolites with one or more carboxyl groups, including citric, malic, lactic, fumaric, succinic, and acetic acids. They are central nodes in energy and carbon metabolism rather than peripheral by-products.

In metabolism, organic acids mainly act as:

  • TCA-cycle intermediates (citric, malic, fumaric, succinic, oxaloacetic acids) that reflect mitochondrial flux and ATP production.
  • Glycolytic and fermentation products (lactate, pyruvate, acetic, butyric acids) that report on oxygen status, mitochondrial function, and microbial fermentation.
  • Signaling metabolites such as itaconic acid that influence immune activation and inflammatory pathways.

In food and agriculture, organic acids are key markers of taste, acidity, freshness, fermentation progress, and product authenticity.

Because they sit close to core metabolic flux, small changes in organic acid profiles can indicate major pathway shifts. High-quality organic acid data help you:

  • Link gene or protein changes to real metabolic outcomes.
  • Separate on-target metabolic effects from off-target toxicity.
  • Track how diet, microbiota, environment, or treatments reshape metabolic networks.

Targeted LC–MS/MS organic acids analysis provides the sensitivity and selectivity needed to capture these changes across complex matrices such as plasma, urine, tissues, feces, cell extracts, foods, and environmental samples.

What Questions Can Organic Acids Analysis Answer?

Organic acids profiling is most informative when it is linked to clear biological or product questions. Our organic acids analysis service commonly supports projects such as:

Energy metabolism & mitochondrial function

Evaluate how compounds, genetic perturbations, or stressors reshape TCA-cycle intermediates and mitochondrial function, and relate organic acid shifts to ATP, ROS, or cell viability readouts.

Metabolic disease & energy homeostasis

Profile organic acids in obesity, diabetes, NAFLD and related models to quantify changes in central carbon flux, detect pathway bottlenecks, and support translational metabolomics studies.

Immunometabolism & cancer metabolism

Profile lactate, pyruvate, succinate, itaconate and related acids to support proposed immunometabolic mechanisms and investigate metabolic reprogramming in tumor or immune cells.

Gut microbiota & SCFA-driven effects

Quantify short-chain fatty acids and fermentation acids in feces, plasma, or culture systems to link microbiome changes with host metabolic and inflammatory phenotypes.

Food quality, authenticity & processing

Use organic acid fingerprints to characterize flavor, acidity, freshness, batch consistency, and geographical origin in juices, wines, dairy products, and fermented foods.

Soil, plant & environmental assessments

Monitor root exudates and soil or water organic acids to study plant stress responses, nutrient dynamics, and environmental impact.

Targeted Organic Acids Panel and Pathway Coverage

Our targeted organic acids panel is organized by pathway and application so you can quickly check whether your metabolites of interest are covered.

Panel category Organic acids in this panel (include but are not limited to)*
TCA & central carbon organic acids Citric acid, Isocitric acid, cis-Aconitic acid, trans-Aconitic acid, α-Ketoglutaric acid, Succinic acid, Fumaric acid, Malic acid, Oxaloacetic acid, Pyruvic acid, Lactic acid, Phosphoenolpyruvic acid (PEP), 2-Oxobutyric acid, 2-Oxoisovaleric acid, Gluconic acid, Glyceric acid
SCFAs & fermentation organic acids Acetic acid, Propionic acid, Butyric acid, Isobutyric acid, 2-Methylbutyric acid, Valeric acid, Isovaleric acid, Caproic (Hexanoic) acid, Heptanoic acid, Lactic acid (D/L), Formic acid, Succinic acid, Pyruvic acid, 3-Hydroxybutyric acid, Acetoacetic acid, Fumaric acid
Metabolic disease–related organic acids 3-Hydroxybutyric acid, Acetoacetic acid, Adipic acid, Suberic acid, Sebacic acid, Glutaric acid, Methylmalonic acid, Succinylacetic acid, Hippuric acid, Uric acid, Oxalic acid, Glyoxylic acid, Lactic acid, Pyruvic acid, Citric acid
Immunometabolism & signaling organic acids Itaconic acid, cis-Aconitic acid, Fumaric acid, 2-Hydroxyglutaric acid (D/L or total), Lactic acid, Pyruvic acid, Succinic acid, Kynurenic acid, Quinolinic acid
Plant & food-related organic acids Malic acid, Citric acid, Tartaric acid, Quinic acid, Shikimic acid, Ascorbic acid (Vitamin C), Gallic acid, Caffeic acid, Chlorogenic acid, Benzoic acid, Syringic acid, Ferulic acid, Succinic acid, Acetic acid, Oxalic acid
Soil & environmental organic acids Oxalic acid, Malonic acid, Maleic acid, Succinic acid, Fumaric acid, Citric acid, Tartaric acid, Gluconic acid, Formic acid, Acetic acid, Propionic acid, Benzoic acid, Humic-related acids, Fulvic-related acids

*The panel is periodically optimized. Additional organic acids can be included or added as custom targets upon request.

Why Choose Creative Proteomics for Organic Acids Analysis?

  • Pathway-centered organic acids panel: Coverage across TCA cycle, central carbon metabolism, SCFAs, plant/food acids, and signaling metabolites.
  • Advanced LC–MS/MS platform: High-sensitivity QTRAP®-based workflows with optimized MRM methods for organic acids.
  • Matrix experience across biology, food, and environment: Proven protocols for plasma, urine, tissues, feces, foods, beverages, and environmental samples.
  • Robust QC and method validation: Calibration, QC samples, and internal standards to ensure reproducible quantification.
  • Integration with broader metabolomics strategies: Organic acids panels that can be combined with other targeted or untargeted metabolomics services.
  • Project-driven data interpretation: Reports and visualizations tailored to your experimental design and decision points, not just generic output.

Analytical Platform for LC–MS/MS Organic Acids Quantification

Core Instrumentation

LC–MS/MS system – High-performance triple quadrupole platform (e.g., AB Sciex QTRAP® 6500 or equivalent) with electrospray ionization and optimized MRM methods for organic acids.

UHPLC system – Binary or quaternary UHPLC with precise autosampler injection for stable gradients and low carryover in polar metabolite analysis.

LC columns – Reversed-phase C18 and/or HILIC columns selected to retain and separate highly polar and isomeric organic acids.

Sample preparation tools – Refrigerated centrifuges, vortex mixers, and homogenizers enabling cold protein precipitation and extraction under controlled conditions.

Data processing & QC – Vendor LC–MS/MS software combined with in-house pipelines for MRM integration, calibration, QC tracking, and downstream statistical and pathway analysis.

Key Analytical Parameters

Parameter Typical configuration / range* Why it matters for your project
Detection mode LC–MS/MS, ESI, Multiple Reaction Monitoring (MRM) Targeted, high-sensitivity detection of organic acids
Polarity Mainly negative ESI; positive ESI as needed Optimized ionization for carboxylic acids and related metabolites
LC separation C18 and/or HILIC, ~0.2–0.4 mL/min Robust separation of polar, closely eluting organic acids
Run time per sample Typically ~10–20 min (method-dependent) Balances depth of coverage with sample throughput
Calibration & IS ≥ 6-point calibration curves + isotope/structural internal standards Supports reliable quantitation across the validated range
QC design Blanks, system suitability, pooled QC samples per batch Monitors stability, carryover, and reproducibility
Typical performance Good linearity; QC %CV typically ≤ 15% Ensures data quality for downstream statistics and interpretation
SCIEX Triple Quad™ 6500+

Triple Quad™ 6500+ (Figure from Sciex)

Agilent 6495C Triple Quadrupole

Agilent 6495C Triple Quadrupole (Figure from Agilent)

Agilent 1260 Infinity II HPLC

Agilent 1260 Infinity II HPLC (Fig from Agilent)

LC–MS/MS Workflow for Organic Acids Quantification

1

Step 1 – Project consultation and panel design

We clarify your study goals, sample types, and target pathways, then recommend an organic acids panel, sample size, and provide a quotation.

2

Step 2 – Sample preparation and shipment

You prepare and ship samples according to our guidelines (matrix, volume, storage, labeling). We perform intake QC to confirm identity, condition, and suitability.

3

Step 3 – Extraction and LC–MS/MS acquisition

We carry out cold extraction/protein precipitation with internal standards, then run targeted LC–MS/MS (MRM) for the selected organic acids.

4

Step 4 – QC review and data processing

Calibration, blanks, and pooled QC samples are used to verify system performance. We integrate peaks, apply calibration, and generate concentration tables.

5

Step 5 – Reporting and follow-up

You receive a report package with data tables, key figures, and a concise interpretation. If needed, we arrange a follow-up discussion to review results and plan next steps.

Organic Acids Targeted Analysis Workflow

How to Prepare and Submit Your Samples

Category Requirement
Accepted sample types Plasma/serum, urine, cell pellets, tissues, feces, culture media, food & plant matrices
Minimum amount / volume Plasma/serum: ≥ 50–100 µL
Urine: ≥ 100 µL
Cell pellets: ≥ 1–5 × 10⁶ cells
Tissues: ≥ 10–20 mg
Feces: ≥ 20–30 mg
Media/extracts: ≥ 200 µL
Storage Freeze at –80°C immediately after collection; avoid freeze–thaw cycles
Shipping Ship on dry ice; samples must remain fully frozen
Containers 1.5–2 mL screw-cap tubes; leak-proof; secure sealing
Labeling Sample ID, matrix, species, collection date
Avoid Heparin plasma; preservatives/buffers; thawed samples; contaminated or insufficient volume

Notes: For unusual matrices (fermented foods, environmental samples, plant exudates), send extra aliquots for method adaptation.

Project Deliverables for Organic Acids Analysis

  • Sample receipt sheet (sample IDs, matrix, received volume and condition).
  • LC–MS/MS method summary (organic acids panel used, matrix type, key settings and QC design).
  • Result table for all quantified organic acids (per-sample concentrations with units, Excel/CSV).
  • Calibration and QC summary (calibration range and R², QC sample results).
  • Standard result report (key tables and basic comparison figures, in PDF/Word).
  • Raw LC–MS/MS data files (provided if agreed in advance).
Three LC–MS/MS chromatograms of organic acids in standard, plasma and fecal extract with well-resolved peaks.

Representative LC-MS/MS chromatograms of targeted organic acids

(A) Standard mixture, (B) human plasma and (C) fecal extract, showing baseline separation and high signal-to-noise for key organic acids across matrices.

Multi-panel graph showing standard curve, LLOQ ranges and QC precision for an LC–MS/MS organic acid assay.

Calibration and quantitative performance of the LC–MS/MS organic acid assay

(A) Standard curve with linear regression and R². (B) LLOQ and linear range for representative organic acids. (C) QC %CV at low, mid and high levels, demonstrating robust linearity and precision.

Can you measure organic acids in different sample types within one project (e.g., plasma and feces)?

Yes, we can run mixed matrices in the same project; we just apply matrix-specific extraction and calibration for each sample type so the results stay comparable and reliable.

Can you help interpret the biological meaning of organic acid changes, or do you only provide raw data?

We provide processed concentration tables plus a brief biological and pathway-level interpretation, so you can see which pathways are shifting and how they may relate to your model or treatment.

Can the organic acid panel be adjusted to match my current project or biomarkers?

Yes, the panel can usually be customized by prioritizing certain pathways and adding extra organic acids with available standards, so it aligns with your existing assays and hypotheses.

Do you provide absolute concentrations or only relative changes?

For panel metabolites with validated standards and calibration curves, we report absolute concentrations; for others, we provide high-quality relative quantification suitable for group comparisons and modeling.

Are your methods suitable for both preclinical and human samples?

Yes. LC–MS/MS organic acid and SCFA workflows are routinely applied to human and animal matrices, with validation steps adapted to the species and study design.

Prospective randomized, double-blind, placebo-controlled study of a standardized oral pomegranate extract on the gut microbiome and short-chain fatty acids

Sivamani, R. K., Chakkalakal, M., Pan, A., Nadora, D., Min, M., Dumont, A., ... & Chambers, C. J.

Journal: Foods

Year: 2023

Effect of arabinogalactan on the gut microbiome: A randomized, double-blind, placebo-controlled, crossover trial in healthy adults

Chen, O., Sudakaran, S., Blonquist, T., Mah, E., Durkee, S., & Bellamine, A.

Journal: Nutrition

Year: 2021

B cell-intrinsic epigenetic modulation of antibody responses by dietary fiber-derived short-chain fatty acids

Sanchez, H. N., Moroney, J. B., Gan, H., Shen, T., Im, J. L., Li, T., ... & Casali, P.

Journal: Nature Communications

Year: 2020

Mechanisms underlying neonate-specific metabolic effects of volatile anesthetics

Stokes, J., Freed, A., et al.

Journal: eLife

Year: 2021

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