Semiconductor solvent analysis
Applicable to IPA, OK73, nBAC, and other common semiconductor solvents. Actual analyzability is confirmed against SDS, sample properties, and safety conditions.
Product items
Ultra-trace Analytics offers GC-MS analytical services for semiconductor organic solvents and high-cleanliness chemicals (IPA, OK73, nBAC, etc.), including trace organic contamination analysis, impurity identification, supplier material qualification, and process contamination investigations.
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Ultra-trace Analytics offers GC-MS analytical services for semiconductor organic solvents and high-cleanliness chemicals (IPA, OK73, nBAC, etc.), including trace organic contamination analysis, impurity identification, supplier material qualification, and process contamination investigations.
Ultra-trace Analytics offers GC-MS outsourced testing for organic impurities, unknown peaks, and trace organic contamination in semiconductor solvents, high-cleanliness chemicals, and process-related liquids. Common sample types include IPA, OK73, and nBAC; other organic liquids can be evaluated based on SDS, matrix, and analytical goal.
Applicable to IPA, OK73, nBAC, and other common semiconductor solvents. Actual analyzability is confirmed against SDS, sample properties, and safety conditions.
We perform GC-MS analysis and data interpretation for trace organic contamination, residues, anomalous peaks, and suspected contamination sources.
Based on the chromatogram, mass spectrum, and library matching, we can evaluate likely sources of unknown peaks. Unknown-compound identification depends on signal quality, library matching, and standards if required.
If you already have target compounds in mind, we evaluate qualitative, semi-quantitative, or quantitative feasibility based on the target, matrix, and availability of standards.
We can compare organic-impurity differences across batches, suppliers, or process conditions to support material qualification and anomaly investigation.
On request the report can include analytical results, principal peaks, matching results, sample differences, and necessary notes — helping you interpret organic-contamination signals.
Not sure whether your sample suits GC-MS? Share SDS, analytical goal, target compound, or observed anomaly and we will help assess feasibility.
Share SDS, analytical goal, target compound, or anomaly chromatogram and we will help evaluate GC-MS Analysis Service feasibility and quotation scope.
The service mainly covers semiconductor solvents, high-cleanliness chemicals, and organic liquids from the chemical industry — for example IPA, OK73, nBAC, thinner, stripper, remover, cleaning solutions, and other customer-specified samples. Actual feasibility depends on SDS, matrix, and safety.
Yes — feasibility is assessed per sample and goal. GC-MS is commonly used for organic impurities, unknown peaks, solvent residues, batch differences, and trace organic contamination. Detection and identification depth depend on matrix, target compound, and method conditions.
IPA, OK73, and nBAC are common semiconductor solvents. GC-MS feasibility is evaluated based on SDS, sample purity, target compound, concentration range, and safety.
GC-MS can suggest likely compounds for unknown peaks via mass-spectrum library matching. Definitive identification is, however, limited by signal quality, library matching, matrix interferences, and standards availability — formal confirmation may need standards or auxiliary analyses.
Yes, where a target compound is clear and standards, calibration approach, and matrix conditions allow. For unknown-peak screening, the first pass is typically qualitative or semi-quantitative; the report format is confirmed before the work starts.
Please share sample name, SDS, main composition, analytical goal, target compound, sample quantity, safety information, and whether good sample / bad sample, blank, reference sample, or existing anomaly chromatograms are available.
GC-MS targets organic compounds and volatile / semi-volatile organic contamination. ICP-MS targets metals and inorganic elemental impurities. For organic unknown-peak or solvent-contamination questions, GC-MS is usually the right tool; for metal contamination, ICP-MS.
Yes — batch comparisons can be discussed per scope. We recommend sending multiple batches, a reference sample, or good sample / bad sample together so we can compare chromatograms, principal peaks, and possible anomaly signals.
Share your SDS, main composition, analytical goal, target compound or observed anomaly, and whether you have IPA, OK73, nBAC, or other organic-solvent samples. Ultra-trace Analytics can evaluate GC-MS testing feasibility and propose an analysis plan and quotation.