MOSH/MOAH Analysis: Technology, Regulation, and the Road Ahead

MOSH/MOAH analysis is a rapidly evolving field driven by new regulations, complex sample matrices, and increasing expectations for analytical accuracy. This blog explains current regulatory frameworks, analytical challenges, modern LC–GC–FID workflows, and the role of GC×GC–MS and Chromeleon software in supporting reliable mineral oil hydrocarbon testing.

Mineral oil hydrocarbons—MOSH (saturated hydrocarbons) and MOAH (aromatic hydrocarbons)—have become central to food safety discussions as research and public awareness expand. Their presence in food, packaging, and environmental sources has prompted regulators and laboratories to develop more standardized and robust analytical approaches. As new regulations emerge and workflows advance, understanding MOSH/MOAH testing technologies and their limitations is essential for laboratories preparing for future compliance requirements.

Frequently Asked Questions

MOSH/MOAH analysis refers to the detection and quantification of saturated and aromatic mineral oil hydrocarbons in food, packaging, and related materials using chromatographic workflows such as LC–GC–FID and GC×GC–MS.

Certain high-ring MOAH compounds are suspected to have genotoxic or carcinogenic properties, prompting regulators to explore enforceable limits and more harmonized methods across the EU.

LC–GC–FID is the established quantification technique, while GC×GC–MS is increasingly used as a confirmatory approach for structural insight and source differentiation.

Complex food matrices, low detection limits, and potential chromatographic interferences can complicate accurate measurement, requiring optimized sample preparation and selective detection strategies.

Chromeleon software supports instrument control, workflow automation, quality checks, and reporting—helping laboratories maintain traceability and streamline MOSH/MOAH analyses.

Food manufacturers, packaging suppliers, contract testing laboratories, and regulatory agencies all rely on MOSH/MOAH testing to assess contamination and demonstrate compliance.

Use Comparison: LC-GC-FID vs. GCxGC-MS

Feature	LC–GC–FID	GC×GC–MS
Primary purpose	Quantification of MOSH/MOAH fractions	Identification and differentiation of hydrocarbon sources
Selectivity	Limited for complex aromatics	High, with detailed structural insight
Regulatory status	Standardized in EN 16995, ISO 20122	Emerging, used for confirmation
Interference handling	Requires strong clean-up steps	Better separation of overlapping compounds
Typical use case	Routine compliance testing	Investigative analysis and false-positive reduction

Regulatory Landscape (EN 16995, JRC, ISO 20122, Upcoming EU MOAH Limits)

The regulatory framework for MOSH/MOAH analysis has expanded significantly in recent years as food safety agencies recognize the need for harmonized methods. While early efforts varied across regions, the last decade has produced several standards that guide laboratories toward consistent analytical practices.

The field began shifting in 2017 with the introduction of EN 16995, the first standardized LC–GC–FID methodology for foodstuffs. This was followed by the 2023 JRC Guidelines v2, which broadened the scope to include food contact materials and introduced refinements in sample preparation and measurement quality. More recently, ISO 20122:2024 set a dedicated standard for fats and oils, incorporating improved clean-up strategies to achieve more accurate quantification.

Analytical Challenges in MOSH/MOAH Testing

Despite established guidelines, MOSH/MOAH analysis remains technically demanding. The complexity of food and packaging matrices often challenges chromatographic separation, requiring selective clean-up steps and careful method optimization.

Food products such as oils and processed items contain natural compounds—including terpenes, carotenoids, and squalene—that overlap chromatographically with MOSH/MOAH fractions. Without adequate removal, these interferences can generate false positives or inflate results. Variability between laboratories also persists due to differences in sample preparation, saponification techniques, and instrumental settings.

Modern Automated MOSH/MOAH Workflow Steps

Modern MOSH/MOAH workflows revolve around LC–GC–FID platforms supported by automated sample preparation. This combination improves reproducibility and reduces manual handling while supporting regulatory expectations for accuracy and consistency.

Step 1: Saponification

Fats can interfere with chromatographic separation and limit injection volumes. Saponification removes triglycerides, enabling larger injection volumes and cleaner baselines, contributing to lower quantitation limits.

Step 2: Epoxidation

For MOAH fractions, epoxidation removes natural interferences such as terpenes and carotenoids. PFA-based reagents are frequently used because they preserve aromatic hydrocarbons while eliminating confounding signals.

Step 3: Evaporation and Concentration

Concentrating the hexane extract improves sensitivity and recovers signal from challenging matrices such as palm stearates.

Step 4: Alumina Oxide Clean-up

This optional step helps refine MOSH quantification in the presence of n-alkanes. It must be applied selectively to avoid altering results when n-alkanes are not present.

Step 5: Fraction Collection for Advanced Analysis

When deeper insight or confirmation is required, fraction collection enables the use of GC×GC–MS, providing molecular detail not accessible through FID detection alone.

These steps collectively support a workflow that is both sensitive and adaptable to diverse sample types.

Laboratories implementing MOSH/MOAH workflows often report that the biggest gains come from harmonizing sample preparation, integrating automated steps, and adding confirmatory GC×GC–MS when needed. These experiences highlight that accuracy in MOSH/MOAH analysis depends not only on instrumentation but also on how workflows are standardized and monitored across analysts and sample types.oduction of GPCR in insect cells, especially for subsequent NMR studies, has potential drawbacks: the growth medium is rather complex and contains undefined levels of amino acids and peptides.

Additional Resources