Compositional Analysis Services

Determine what a material contains, compare compositions and investigate unexpected components. Anysis combines complementary analytical approaches to support elemental, molecular, bulk, surface and trace composition questions.

Understand What Is Present—and Why It Matters

Compositional analysis examines the chemical or elemental makeup of a material. It can be used to identify major and minor components, confirm expected ingredients, quantify selected constituents, compare similar samples and investigate unexpected substances.

Because “composition” can refer to different information depths and chemical classes, method selection should begin with the question: do you need bulk elemental composition, molecular or organic information, trace impurities, a thin layer, or the chemistry at a surface?

Questions This Service Can Help Answer

Compositional Analysis Capabilities

Different analytical approaches answer different composition questions. A project may use one technique or a coordinated combination of methods.

Bulk Composition

Evaluate major and minor components representative of the overall material.

  • Major/minor elements
  • Organic or polymer composition
  • Comparative composition

Trace Elemental Analysis

Investigate low-level elemental impurities that may influence quality or performance.

  • Trace metals
  • Purity screening
  • Process contamination

Organic & Molecular Analysis

Identify or compare organic compounds, polymers, solvents, additives and related chemical species.

  • Functional groups
  • Molecular components
  • Volatile/nonvolatile organics

Surface Composition

Examine the chemistry of the outer surface when bulk analysis would miss a localized issue.

  • Surface elements
  • Chemical states
  • Surface contamination

Coatings & Thin Layers

Investigate composition in coatings, films or layered materials where depth matters.

  • Layer chemistry
  • Interface information
  • Depth-dependent composition

Comparative Analysis

Build a like-for-like analytical plan to identify meaningful differences between samples.

  • Supplier comparison
  • Good/bad samples
  • Batch consistency

Typical Analytical Approaches

Technique selection depends on sample type, target analytes, concentration range, information depth and whether destructive preparation is acceptable. The methods below are examples that may be considered where appropriate.

Method selection is project-specific. Final technique, sample preparation and reporting scope should be confirmed before testing begins.

ICP-MS / ICP-OES

Elemental and trace elemental analysis

GDMS

High-purity solid elemental screening

XRF

Rapid bulk elemental composition

FTIR

Organic materials and functional groups

Raman

Molecular identification and comparison

GC-MS

Volatile/semi-volatile organics

LC-MS / HPLC

Nonvolatile organic components

NMR

Molecular structure and component information

SEM-EDS

Localized morphology + elemental data

XPS

Surface elemental and chemical-state analysis

TOF-SIMS

Surface and depth-sensitive molecular

XRD

Crystalline phase identification

When Compositional Analysis Is Useful

The analytical scope should be tied to a real technical or business decision—not simply to a list of available instruments.

Raw Material Qualification

Confirm that incoming materials match expected composition or supplier information.

Supplier & Grade Comparison

Compare chemistries across vendors, grades, formulations or production changes.

Product Development

Understand material ingredients and composition-performance relationships during R&D.

Unexpected Material

Investigate foreign components, residues or substances that should not be present.

Batch Consistency

Compare production lots when product appearance or performance changes.

Troubleshooting

Add chemical evidence to broader investigations involving failure, contamination or process drift.

What You May Receive

Your deliverables are structured to help clarify what a material contains and, where possible, how much is present. Results may combine qualitative and quantitative analytical evidence.

Identified Components

Identification of major constituents, additives, elements or chemical species detected in the sample.

Quantitative Results

Concentration, percentage or relative abundance data for target components where quantification is appropriate.

Spectra & Analytical Data

Relevant spectra, chromatograms, elemental data, tables and other supporting analytical results.

Composition Interpretation

Technical interpretation connecting the analytical findings to the material’s overall composition and project objective.

From Your Question to Useful Results

The process begins with the decision you need to make, then defines the analytical scope, sample plan and deliverables.

Define the Composition Question

Clarify sample type, expected chemistry, target components and required information depth.

Select Complementary Methods

Choose techniques based on elemental, molecular, surface, bulk or trace-level needs.

Analyze & Cross-Check

Perform the agreed tests and compare complementary datasets where appropriate.

Report the Findings

Deliver organized results with interpretation aligned to the stated project objective.

Compositional Analysis FAQs

Clear answers about method selection, samples, project scope and analytical expectations.

Not Sure Which Analysis You Need?

Tell us what you know about the sample and what you need to determine. We can help define a suitable analytical direction.

Provide the material type, sample form, expected composition if known, components of interest, approximate concentration range if available, application background and the decision the results need to support.

Projects may include organic, inorganic or mixed-component analysis. The analytical plan depends on the matrix and the information required.

Some methods can provide quantitative or semi-quantitative results for suitable analytes and matrices. The expected data quality and quantitation approach should be defined before testing.

Yes. A consistent analytical plan can be applied to multiple samples to reveal compositional differences relevant to supplier, grade or batch evaluation.

Bulk analysis represents the overall material, while surface techniques focus on the outermost region. This distinction is important for coatings, contamination, adhesion and surface-treatment questions.

Sample quantity depends on the selected methods, preparation requirements and whether replicate testing or destructive analysis is needed.

Yes, but if the main objective is identifying an unknown particle or residue, the Material Identification or Impurity Analysis service may be a better starting point.

Lead time depends on method selection, sample preparation and project complexity. An estimated schedule can be provided after the analytical scope is defined.

PROJECT INQUIRY

Tell us what you need to find out. Our engineers can help define the testing scope, sample requirements and next steps.