Quantitation of TCA Cycle Metabolites with LC/TQ and Standardized HILIC Chromatography

Applications | 2026 | Agilent TechnologiesInstrumentation
LC/MS, LC/MS/MS, LC/QQQ, HPLC
Industries
Clinical Research, Metabolomics
Manufacturer
Agilent Technologies

Summary

Significance of the topic



The tricarboxylic acid (TCA) cycle is central to cellular bioenergetics and provides intermediates that influence pathways in cancer, immune regulation, and other pathologies. Reliable, high-sensitivity quantitation of TCA metabolites in biological matrices is essential for targeted metabolomics studies that seek to measure metabolic states, trace pathway fluxes, and identify metabolite biomarkers. The application note presents a standardized, HILIC-based LC/TQ workflow optimized for absolute quantitation of TCA metabolites in complex matrices such as bovine plasma and cultured cells, addressing analytical challenges tied to polar, metal-sensitive analytes and wide dynamic ranges.

Objectives and overview of the study



The study aimed to establish and demonstrate an end-to-end targeted metabolomics workflow for absolute quantitation of key TCA cycle metabolites. Specific goals included:

  • Developing calibration strategies spanning wide concentration ranges (1–100,000 nM) using 13C-labeled internal standards.
  • Optimizing sample preparation for plasma and cell extracts with automated handling and lipid-removal SPE.
  • Applying a standardized HILIC-Z chromatographic method to separate polar TCA analytes.
  • Evaluating Agilent 6495D triple quadrupole sensitivity improvements via analyte-specific iFunnel (Fragile) settings.


The workflow couples automated extraction (Agilent Bravo), HILIC chromatography (Agilent Poroshell 120 HILIC-Z), and targeted MRM detection on the Agilent 6495D LC/TQ. The method is intended to support absolute quantitation using isotope-labeled standards and to be deployable for profiling and semi-quantitation across broader metabolite panels.

Methods



Sample preparation was automated and matrix-optimized:

  • Individual TCA standards and a U-13C yeast metabolite extract (Cambridge Isotope Labs) were used to prepare calibrators in 7:2:1 acetonitrile:water:methanol. Final calibrations covered 1 to 100,000 nM with a 1:10 addition of the 13C extract; extracts were reconstituted with the same solvent and spiked with 13C internal standard.
  • Cell extracts (K562 cells, 1 million cells) and bovine plasma (20 µL) were processed using Captiva EMR–Lipid SPE plates to remove lipids and matrix interferences prior to analysis.


Chromatography and mass spectrometry conditions were standardized for robustness:

  • LC: Agilent Poroshell 120 HILIC-Z column (2.1 × 150 mm, 2.7 µm), mobile phases of 20 mM ammonium acetate pH 9.3 (with 5 µM deactivator) and acetonitrile, flow 0.4 mL/min, column at 15 °C, sampler at 4 °C, 4 µL injection. A gradient moves from 90% B to 10% B and back for re-equilibration (total run ~19 min plus 5 min post-run).
  • MS: Agilent 6495D triple quadrupole with Jet Stream ESI operated in both positive and negative polarities. Typical source settings included gas temp 275 °C, drying gas 13 L/min, sheath gas 400 °C at 12 L/min, and capillary voltages of 3,000 V (positive) / 2,000 V (negative). The iFunnel mode was used in two settings (Fragile and Standard) and evaluated per analyte.
  • Targeted MRM transitions were defined for twelve TCA analytes and their 13C-labeled analogs. Collision energies, cell acceleration voltages, and retention time windows were optimized and included both primary and confirmatory transitions for most compounds.


Used instrumentation



The experiment used Agilent analytical platforms and accessories configured for metal-sensitive polar metabolite analysis:

  • Agilent 6495D Triple Quadrupole LC/MS (G6495D)
  • Agilent 1290 Infinity II bio high-speed pump (G7132A)
  • Agilent 1290 Infinity II bio multisampler (G7137A)
  • Agilent 1290 Infinity II multicolumn thermostat (G7116B)
  • Agilent 1260 Infinity II diode array detector HS (G7117C)
  • Agilent Bravo Metabolomics Sample Prep Platform and Captiva EMR–Lipid SPE plates for automated extraction


Comparable performance is achievable on the 1290 Infinity III bio LC without changing method parameters.

Main results and discussion



Key analytical performance and findings:

  • Calibration and linearity: Calibration curves for the tested TCA metabolites exhibited excellent linearity across broad concentration ranges, with R2 values typically ≥ 0.995; many were 0.999. Calibration ranges varied by analyte (e.g., pyruvate 1–100,000 nM; α-ketoglutarate 5–10,000 nM; oxaloacetic acid 100–10,000 nM).
  • Precision: Analytes with matching 13C internal standards showed low relative standard deviations across calibrators (RSD < 10% for most compounds), demonstrating reproducible quantitation.
  • Sensitivity: Use of the Fragile iFunnel mode generally improved sensitivity over Standard mode for most TCA compounds, as demonstrated by higher signal areas at mid-range calibrant concentrations.
  • Matrix application: All targeted TCA metabolites were detected in both bovine plasma and K562 cell extracts at concentrations falling within calibration ranges. Quantified concentrations showed expected matrix-dependent differences (for example, malate and fumarate levels substantially higher in cells than in plasma for this dataset).
  • Dynamic range: The method supported quantitation over approximately six orders of magnitude for some analytes when using optimized MRM transitions and isotope dilution.


Figures and tables summarized separation quality, iFunnel comparison, calibration curves, and quantitative results. Chromatography provided baseline-resolved peaks for the TCA analytes on HILIC-Z, and MRM lists included two transitions per analyte in many cases to improve confidence in identification and quantitation.

Benefits and practical applications



The standardized HILIC LC/TQ workflow provides several practical advantages:

  • High sensitivity and broad dynamic range suitable for low-abundance metabolites and diverse sample types (plasma, cells).
  • Robust quantitation via isotope-dilution using 13C-labeled standards, lowering matrix effects and improving precision.
  • Automated sample preparation compatible with high-throughput studies and lipid-rich matrices due to EMR–Lipid SPE.
  • Analyte-specific ion funnel tuning (Fragile mode) increases signal for polar and labile metabolites, enhancing detectability on modern triple quadrupoles.


Applications include targeted clinical and biomedical metabolomics, biomarker validation, metabolic phenotyping of cell models, and pathway-focused studies in disease research.

Future trends and potential uses



Potential developments and extensions of this workflow include:

  • Expansion of isotope-labeled standard coverage to additional metabolites to enable broader absolute quantitation across metabolic networks.
  • Integration with stable-isotope tracing experiments to quantify flux through the TCA cycle and connected pathways.
  • Adoption of similar standardized HILIC methods in multicenter studies for improved inter-laboratory reproducibility and database sharing of retention times and transitions.
  • Continued optimization of ion funnel and source conditions to further boost sensitivity for labile or low-mass analytes (e.g., oxaloacetate).


Conclusion



This application note demonstrates a validated targeted metabolomics workflow for absolute quantitation of TCA cycle metabolites in plasma and cell extracts. Combining automated extraction, HILIC-Z separation, isotope-dilution calibration, and optimized MRM/iFunnel settings on the Agilent 6495D produced precise, linear, and sensitive results across a wide dynamic range. The approach is well suited for research applications that require rigorous quantitation of central carbon metabolites in complex biological matrices.

References



  1. Yamamoto T.; Sato K.; Yamaguchi M.; Mitamura K.; Taga A. Development of Simultaneous Quantitative Analysis of Tricarboxylic Acid Cycle Metabolites to Identify Specific Metabolites in Cancer Cells by Targeted Metabolomic Approach. Biochem. Biophys. Res. Commun. 2021, 584, 53–59.
  2. Yannell K. E.; Simmermaker C.; Van de Bittner G.; Cuthbertson D. An End-to-End Targeted Metabolomics Workflow. Agilent Technologies application note, publication number 5994-5628EN, 2023.
  3. Van de Bittner G. C.; Sartain M.; Chang D.; Apffel A.; Bernick K.; Gomez M. An Automated Dual Metabolite + Lipid Sample Preparation Workflow for Mammalian Cell Samples. Agilent Technologies application note, publication number 5994-5065EN, 2022.
  4. Sartain M.; Gomez M.; Van de Bittner G.; Shu H. Enabling Automated, Low-Volume Plasma Metabolite Extraction with the Agilent Bravo Platform. Agilent Technologies application note, publication number 5994-2156EN, 2020.
  5. Yannell K. E.; Hsiao J.; Cuthbertson D. Mastering HILIC-Z Separation for Polar Analytes. Agilent Technologies application note, publication number 5994-5949EN, 2023.

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