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Py-GCMS

What is Py-GC/MS?

Py-GC/MS (Pyrolysis Gas Chromatography–Mass Spectrometry) is an analytical technique that uses rapid thermal pyrolysis to break down polymers and complex organic materials into smaller, volatile fragments. These fragments are then separated by gas chromatography (GC) and identified by mass spectrometry (MS).

Unlike conventional GC/MS, which often requires solvent extraction or volatile samples, Py-GC/MS is especially suitable for insoluble, non-volatile, highly crosslinked, or highly filled materials. It is widely used for polymer identification, material fingerprinting, batch-to-batch comparison, contamination/root-cause investigation, and aging/degradation studies.

What Py-GC/MS Can Help You Solve

  • Polymer identification & material confirmation (resin type, copolymers, blends)

  • Fingerprint comparison between lots, suppliers, or production conditions

  • Failure analysis & root-cause investigation (unexpected organics, process residues, degradation products)

  • Odor / contamination source tracing (foreign organic components, abnormal peaks)

  • Aging & degradation evaluation (thermal/oxidative/UV aging signatures)

  • Micro-sample analysis for particles, films, residues, or trace foreign materials

Typical Applications

  • Plastics & elastomers: PE, PP, PS, PVC, PA, PET, PMMA, rubbers, etc.

  • Adhesives, coatings, inks, resins: binder identification, formulation changes, abnormal organics

  • Electronics & semiconductor materials: encapsulants, insulating materials, tapes, films, contamination checks

  • Composites & fibers: matrix identification, batch-to-batch comparison, organic residue investigation

  • Foreign particles / unknown residues: quick screening to support source attribution

Test Capabilities & Deliverables

Test Capabilities

  • Qualitative identification of major pyrolysis products and polymer markers

  • Library search & marker-based interpretation (when applicable)

  • Comparative analysis (sample vs. reference/control) to highlight differences

  • Semi-quantitative comparison (optional): relative peak area/ion intensity trends for batch comparison

Deliverables

  • TIC chromatograms and key peak annotations

  • Identified compounds list (RT, match score, characteristic ions; project-dependent)

  • Comparison summary (similarities, differences, likely contributors)

  • Raw data files (optional upon request)

Sample Requirements

  • Sample types: solids, powders, films, cured adhesives, coatings scrapings, elastomers, residues, particles

  • Typical amount: mg-level (depends on matrix and objective)

  • Packaging: clean glass vials or clean aluminum foil; seal well to prevent contamination

  • Reference/control sample: strongly recommended for difference analysis

  • Information to provide: material background, process/use conditions, issue description, and expected outcomes

Workflow

  1. Requirement review (identification / comparison / contamination / degradation)

  2. Method setup (pyrolysis temperature program, GC column and MS acquisition conditions)

  3. Testing (pyrolysis → GC separation → MS detection)

  4. Data interpretation (marker identification, library search, fingerprint comparison)

  5. Reporting (figures + conclusions + actionable recommendations)

Why Choose Our Py-GC/MS Service

  • Minimal sample preparation for insoluble or non-volatile materials

  • High sensitivity for organic fingerprints and polymer markers

  • Effective for troubleshooting (abnormal organics, residues, degradation products)

  • Suitable for micro-samples such as particles, thin films, and trace residues

  • Experienced interpretation focused on clear conclusions and practical next steps

FAQs

Yes. Py-GC/MS is highly effective for polymer identification by recognizing characteristic pyrolysis markers and overall chromatographic “fingerprints.” It is commonly used to distinguish resins (e.g., PE, PP, PS, PVC, PA, PET, PMMA) and compare blends or copolymers.

Py-GC/MS is best for qualitative identification and comparison, not full formulation reconstruction. It can often indicate presence of certain additives or residues, but exact composition and absolute ratios typically require a multi-technique approach (e.g., GC/MS, LC-MS, FTIR, NMR) and appropriate standards.

By default, Py-GC/MS is primarily qualitative. Semi-quantitative comparison (relative peak areas/ion intensities) can be provided for trend or lot-to-lot comparison. For absolute quantification, a targeted method with standards and validation is needed, and we may recommend HS-GC/MS, TD-GC/MS, or conventional GC/MS depending on the analytes.

Py-GC/MS is ideal for insoluble or non-volatile materials, including plastics, rubbers, cured adhesives, coatings, resins, composites, films, powders, residues, and micro-particles.

Usually milligram-level is sufficient. For trace particles or thin films, smaller amounts may work depending on the matrix and objectives. If you have very limited sample, we can prioritize a screening + comparison strategy.

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