---
title: "Flavoromics"
lang: en
url: https://www.gereallife.com/en/services/flavoromics.html
canonical: https://www.gereallife.com/en/services/flavoromics.html
entity: Shanghai Gereallife Biotech Co., Ltd
updated: 2026-11-02
---
# Flavoromics

 

Flavoromics — Volatile Metabolomics on GC×GC-TOF MS

 

Based on comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (GC×GC-TOF MS), detecting volatile compounds with boiling points of 50–260 °C at atmospheric pressure. Compared with conventional one-dimensional GC-MS, peak capacity rises from one or two hundred to over ten thousand, with several to dozens of times more identified compounds; combined with a high acquisition rate of 500 full spectra per second, it provides a high-resolution solution for complex samples and unknowns.

 
 
 GC×GC-TOF MS GC×GC-TOF MS Platform COMPREHENSIVE 2D GC 500 spectra/s Full-Spectrum Acquisition Rate SPECTRAL ACQUISITION RATE 300+ Sample Types Experienced SAMPLE TYPES EXPERIENCED 

## Technical Specifications

 TECHNICAL SPECIFICATIONS 

| Item | Details |
| --- | --- |
| Platform | Comprehensive two-dimensional GC-TOF MS (GC×GC-TOF MS) for volatiles boiling at 50–260 °C at atmospheric pressure |
| Identification | ChromaTOF annotation with dual verification — standard spectral-library matching plus retention index (RI) calculated from C7–C30 n-alkanes — yielding Level 1 identifications |
| Quantification | Single-point semi-quantification with isotope internal standards; relative content from peak-area ratios (μg/g solids, μg/mL liquids) with normalization |
| ROAV Odor Activity | ROAV calculated from odor thresholds and relative content to identify the compounds that truly drive flavor — not merely the most abundant ones |
| Sensory-Flavor Mapping | Sensory flavor notes annotated via the Flavordb database, translating "compound differences" into "flavor differences" |

 
 

## Analysis Content

 ANALYSIS MODULES 

| Module | Analysis Content |
| --- | --- |
| Data Pre-analysis | 1D / 2D / 3D total ion chromatograms (TIC) · annotation and identification counts · intergroup Venn diagrams · relative-content analysis · odor thresholds and ROAV analysis |
| Basic Analysis | Compound-class annotation (hydrocarbons/aldehydes/esters/acids/ketones/alcohols/ethers/phenols/heterocycles; PubChem + ClassyFire) · HMDB classification · KEGG annotation and functional classification · PCA / PLS-DA / OPLS-DA (permutation tests, S-plots, VIP) · cluster heatmaps and sample hierarchical clustering |
| Differential Analysis | Differential compound screening (P < 0.05 and VIP > 1) · Venn diagrams · heatmaps and correlation heatmaps · K-means clustering · Z-score plots · volcano plots · bar / box / violin plots |
| Sensory Analysis | Sensory-note radar charts (frequency / content) · ROAV scatter plots of differential flavor compounds · sensory-note–compound association networks · flavor-note Sankey diagrams · flavor wheels of differential compounds |
| Advanced Analysis | KEGG pathway enrichment (bar / bubble plots, pathway networks, differential enrichment scores) · machine-learning biomarker screening (random-forest feature importance) |

 
 

## Example Results

 SELECTED FIGURES FROM ACTUAL REPORTS 3D Total Ion Chromatogram 3D TIC panorama from GC×GC-TOF MS, visualizing the peak capacity and separation power of the comprehensive 2D platform. ROAV Scatter Plot ROAV from odor thresholds and relative content, pinpointing the key volatiles that truly drive flavor. Differential Compound Cluster Heatmap Cluster heatmap of the top-50 differential compounds, making intergroup content-pattern differences immediately visible. Sensory-Note Radar Chart Radar chart of intergroup content differences for the top-10 sensory notes, directly showing flavor-profile shifts. Sensory-Note–Compound Network Association network of sensory notes and differential flavor compounds — translating compound differences into flavor differences. Flavor Wheel of Differential Compounds Flavor wheel of the top-10 sensory notes and their corresponding differential compounds; inner and outer rings map notes to compounds. Multi-Model ROC Curves ROC curves of multiple machine-learning models built on flavor markers, assessing marker discriminative power. 
 

## Applications

 APPLICATIONS 
 Food Flavor Quality Analysis Processing Effects on Flavor Origin & Variety Authentication Flavor Marker Discovery New-Product R&D Support 
 

## FAQ

 FAQ 
 How long does a Flavoromics project take? Mature targeted panels typically take 1-3 weeks; untargeted projects take 2-4 weeks (counted from sample receipt and QC approval). The exact timeline is confirmed in writing before project start, and progress is trackable on the OmicsHub cloud platform. What if my sample amount is below the recommendation? Please do not dilute your samples. Low-input samples can often be accommodated by adjusting the preparation workflow — tell us the actual amount and our technical team will assess feasibility and note adjustments in the study plan. Can I add targets to an existing panel? Yes. Mature panels support on-demand additions; novel analytes outside the list can be implemented through custom method development (requires standards and extra validation time) — see our Custom Targeted Metabolomics service. What samples do you need for Flavoromics? Serum/plasma ≥100 μL (fasting, no haemolysis), tissue ≥50 mg (snap-frozen), cells ≥1×10⁶ (medium washed off), urine ≥200 μL. Keep fasting time consistent, aliquot into single-use volumes and avoid freeze–thaw. Full guidance: Technical Resources → Sample Guide . 
 
 

## Related Services

 RELATED SERVICES 
 

### Metabolic Flux & Isotope Tracing

Metabolic Flux & Isotope Tracing

 

### Targeted Metabolomics

Targeted Metabolomics

 

### Environmental Exposomics

Environmental Exposomics

 
 
 

Delivery timing: sample shipping, customs declaration and similar steps may extend turnaround; actual project timelines prevail.

 
 
 
 

## Request a Quote or Study Design

Tell us about your project — we reply within one business day (free assessment)

 
 
 
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## Start Your Multi-omics Project

 

Free study design · Interactive execution · In-depth data interpretation

 
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