Sigma-Aldrich™ Supelco™ 37 Component FAME Mix (TraceCERT® CRM), 1 mL Ampule
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Specifications:
| Application | Analytical Chemistry, chromatography | ||
| Storage Temperature | -15°C to -25°C | ||
| Product Type | Standards | Forms | Liquid |
| Product Brand | Sigma-Aldrich | ||
| Product Grade | Analytical grade | ||
The Sigma-Aldrich™ Supelco™ 37 Component FAME Mix is a premium multi-component Certified Reference Material (CRM) designed for accurate identification and quantification of fatty acid methyl esters (FAMEs) in complex samples.
Prepared in dichloromethane with varied concentrations, this reference standard is widely used in gas chromatography (GC) and GC-MS analysis for lipid profiling, food quality testing, and environmental studies. It provides a comprehensive panel of 37 saturated, monounsaturated, and polyunsaturated fatty acid methyl esters, including key omega-3 and omega-6 fatty acids.
This CRM is produced in accordance with ISO 17034 and ISO/IEC 17025, ensuring traceability, precision, and regulatory compliance.
Key Features & Benefits
1. Comprehensive 37-Component FAME Profile
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Covers a broad range of:
- Short-, medium-, and long-chain fatty acids
- Saturated, monounsaturated, and polyunsaturated FAMEs
- Includes critical omega-3 (EPA, DHA) and omega-6 fatty acids
2. Certified Accuracy & Traceability
- Manufactured under ISO 17034 & ISO/IEC 17025 accreditation
- Includes a detailed Certificate of Analysis (CoA)
3. Optimized for GC & GC-MS Analysis
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Ideal for:
- Gas Chromatography (GC-FID, GC-MS)
- HPLC (where applicable)
- Suitable for use with polar columns such as Omegawax GC columns
4. Food & Lipid Analysis Ready
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Designed for:
- Food and beverage testing
- Nutritional lipid profiling
- Omega fatty acid analysis in fish oils and edible oils
5. Ready-to-Use Multi-Component Solution
- Pre-mixed in dichloromethane
- Eliminates preparation errors and improves analytical reproducibility
Applications
- Fatty acid profiling in food and beverages
- Omega-3 and omega-6 fatty acid analysis
- Edible oil and biodiesel composition analysis
- Environmental lipid and hydrocarbon studies
- Calibration and validation of GC/GC-MS systems
Technical Specifications
| Parameter | Specification |
|---|---|
| Product Name | 37 Component FAME Mix |
| Brand | Supelco™ TraceCERT® |
| Grade | Certified Reference Material (CRM) |
| Format | Multi-component solution |
| Solvent | Dichloromethane |
| Concentration | Varied (per analyte) |
| Volume | 1 mL ampule |
| Technique Compatibility | GC, GC-MS, HPLC |
| Application | Food & beverage, lipid analysis |
| Storage Temperature | -10 to -25°C |
| Shipping | Dry ice |
Analyte Coverage (Highlights)
Includes 37 fatty acid methyl esters such as:
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Short to medium chain:
Methyl butyrate, methyl hexanoate, methyl octanoate -
Long-chain saturated:
Methyl palmitate, methyl stearate, methyl arachidate -
Monounsaturated:
Methyl oleate, methyl palmitoleate, methyl erucate -
Polyunsaturated (PUFAs):
Methyl linoleate (ω-6), methyl linolenate
Methyl eicosapentaenoate (EPA, ω-3)
Methyl docosahexaenoate (DHA, ω-3)
Ordering Information
| Pack Size | SKU |
|---|---|
| 1 mL Ampule | CRM47885 |
Analytical Significance
FAME standards are essential for:
- Retention time identification of fatty acids
- Quantitative calibration of lipid components
- Nutritional labeling and regulatory compliance
This 37-component mix provides a comprehensive reference profile, enabling accurate identification of fatty acids across a wide range of sample types.
Unique Advantages
- Comprehensive 37-component coverage for lipid profiling
- Includes key nutritional fatty acids (EPA, DHA, linoleic acid)
- Manufactured under dual ISO-certified conditions
- Ready-to-use format for high reproducibility
- Trusted Supelco™ quality from Sigma-Aldrich
The Sigma-Aldrich™ Supelco™ 37 Component FAME Mix is a gold-standard reference material for laboratories performing fatty acid analysis and lipid profiling. Its broad analyte coverage, certified accuracy, and GC compatibility make it indispensable for food quality testing, nutritional analysis, and analytical method development.
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