Mineral Oil Residues in Food Part 4 - Removing Natural Occurring Alkanes
Applications | 2018 | ShimadzuInstrumentation
Mineral oil residues in food, comprising saturated (MOSH) and aromatic (MOAH) hydrocarbons, pose safety and regulatory challenges. Natural odd-numbered alkanes in food matrices such as rice or chocolate interfere with MOSH quantification, leading to false positives and elevated detection limits. A reliable cleanup strategy is essential to selectively remove these interferences and ensure accurate, routine monitoring.
The study aims to integrate a flash chromatography step using activated aluminum oxide (Alox) and silica gel into an automated LC-GC-FID workflow. Objectives include:
Sample preparation involves hexane extraction of homogenized foods spiked with internal standards, followed by centrifugation and concentration. Cleanup utilizes glass flash columns packed with 10 g Alox (basic, 0.063–0.2 mm) topped with 3 g silica gel to remove polar impurities. The MOSH fraction elutes in n-hexane; MOAH is analyzed directly after LC.
LC parameters include a silica column with a n-hexane/dichloromethane gradient, a D₂ UV detector at 230 nm, and an Axel Semrau Chronect LC-GC interface. GC analysis employs a Shimadzu GC-2010 dual FID with Restek MXT columns under hydrogen carrier gas and temperature programming from 60 °C to 400 °C.
Online LC-GC-FID chromatograms demonstrate clear separation of MOSH and MOAH. In a rice sample spiked with 5 mg/kg mineral oil, natural n-alkanes (C25–C35) produced a MOSH signal of 10.8 mg/kg before cleanup. After Alox flash chromatography, these interferences were fully removed, yielding a true MOSH level of 4.31 mg/kg. MOAH quantitation remained robust, contributing to a total oil recovery of 4.95 mg/kg.
The added flash chromatography cleanup:
Emerging directions include coupling with high-resolution mass spectrometry for structural identification, miniaturized and green chromatography approaches, and AI-driven data analysis for faster interpretation. Expanded use in a wider range of food and environmental samples is expected.
Incorporating activated aluminum oxide flash chromatography into LC-GC-FID workflows offers a robust solution for removing natural alkane interferences in MOSH analysis. This strategy improves accuracy, reproducibility, and throughput for routine monitoring of mineral oil residues in food.
GC
IndustriesFood & Agriculture
ManufacturerShimadzu, Axel Semrau
Summary
Importance of the Topic
Mineral oil residues in food, comprising saturated (MOSH) and aromatic (MOAH) hydrocarbons, pose safety and regulatory challenges. Natural odd-numbered alkanes in food matrices such as rice or chocolate interfere with MOSH quantification, leading to false positives and elevated detection limits. A reliable cleanup strategy is essential to selectively remove these interferences and ensure accurate, routine monitoring.
Study Objectives and Overview
The study aims to integrate a flash chromatography step using activated aluminum oxide (Alox) and silica gel into an automated LC-GC-FID workflow. Objectives include:
- Selective retention of long-chain natural alkanes (>C20) on Alox.
- Automated transfer of MOSH and MOAH fractions from LC to GC.
- Reduction of background interferences to improve quantitation accuracy.
Methodology and Instrumentation
Sample preparation involves hexane extraction of homogenized foods spiked with internal standards, followed by centrifugation and concentration. Cleanup utilizes glass flash columns packed with 10 g Alox (basic, 0.063–0.2 mm) topped with 3 g silica gel to remove polar impurities. The MOSH fraction elutes in n-hexane; MOAH is analyzed directly after LC.
LC parameters include a silica column with a n-hexane/dichloromethane gradient, a D₂ UV detector at 230 nm, and an Axel Semrau Chronect LC-GC interface. GC analysis employs a Shimadzu GC-2010 dual FID with Restek MXT columns under hydrogen carrier gas and temperature programming from 60 °C to 400 °C.
Used Instrumentation
- Shimadzu LC-20AD with Allure Silica column (250 × 2.1 mm, 5 µm).
- Axel Semrau LC-GC Chronect interface.
- Shimadzu GC-2010 dual FID.
- Restek MXT Siltek guard column (10 m × 0.53 mm) and MXT-1 analytical column (15 m × 0.25 mm × 0.1 µm).
Main Results and Discussion
Online LC-GC-FID chromatograms demonstrate clear separation of MOSH and MOAH. In a rice sample spiked with 5 mg/kg mineral oil, natural n-alkanes (C25–C35) produced a MOSH signal of 10.8 mg/kg before cleanup. After Alox flash chromatography, these interferences were fully removed, yielding a true MOSH level of 4.31 mg/kg. MOAH quantitation remained robust, contributing to a total oil recovery of 4.95 mg/kg.
Benefits and Practical Applications
The added flash chromatography cleanup:
- Eliminates odd-numbered plant alkanes, preventing false positives.
- Enhances sensitivity and lowers detection limits.
- Integrates seamlessly with automated LC-GC-FID for routine quality control.
Future Trends and Potential Applications
Emerging directions include coupling with high-resolution mass spectrometry for structural identification, miniaturized and green chromatography approaches, and AI-driven data analysis for faster interpretation. Expanded use in a wider range of food and environmental samples is expected.
Conclusion
Incorporating activated aluminum oxide flash chromatography into LC-GC-FID workflows offers a robust solution for removing natural alkane interferences in MOSH analysis. This strategy improves accuracy, reproducibility, and throughput for routine monitoring of mineral oil residues in food.
Reference
- EFSA Panel on Contaminants in the Food Chain. Scientific Opinion on Mineral Oil Hydrocarbons in Food. EFSA Journal (2012) 2704.
- Fiselier K., Fiorini D., Grob K. Activated aluminium oxide selectively retaining long chain n-alkanes. Analytica Chimica Acta 634 (2008) 96–101.
- Fiselier K., Fiorini D., Grob K. Integration into on-line HPLC-LC-GC-FID to remove plant paraffins. Analytica Chimica Acta 634 (2008) 102–109.
- Biedermann M., Grob K. On-line HPLC-GC analysis of mineral oil contamination. J. Chromatogr. A 1255 (2011) 76–99.
- Biedermann M., Grob K. On-line HPLC-GC method of analysis. J. Chromatogr. A 1255 (2011) 56–75.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Determination of Mineral Oil Hydrocarbons in Food and Food Packaging using LC-GCxGCMS Technique
2023|Shimadzu|Posters
PO-CON23008E Determination of Mineral Oil Hydrocarbons in Food and Food Packaging using LC-GCxGCMS Technique AOAC 2023 T043 Uwe Oppermann1 and Erich Leitner2 1 Shimadzu Europa, Albert-Hahn-Str. 6-10, 47269 Duisburg, Germany; 2 TU Graz, Institute of Analytical Chemistry and Food Chemistry,…
Key words
moah, moahmosh, moshfood, foodmineral, mineralgcxgcms, gcxgcmshydrocarbons, hydrocarbonsflash, flashoil, oilconcentration, concentrationchocolate, chocolategoods, goodsalkanes, alkanesmoahs, moahsalara, alaradirectly
A Fully Automatic Workflow for the Determination of Mineral Oil Hydrocarbons in Food and Food Packaging
2024|Shimadzu|Posters
A Fully Automatic Workflow for the Determination of Mineral Oil Hydrocarbons in Food and Food Packaging Uwe Oppermann1 and Erich Leitner2 1Shimadzu Europa, Albert-Hahn-Str. 6-10, 47269 Duisburg, Germany; 2TU Graz, Institute of Analytical Chemistry and Food Chemistry, Graz, Austria 1.…
Key words
moah, moahmosh, moshmineral, mineralhydrocarbons, hydrocarbonsoil, oilfood, foodsaturated, saturatedfullautomatic, fullautomaticfractions, fractionsgcxgcms, gcxgcmsaromatic, aromaticfids, fidsunbranched, unbranchedtwo, twobread
Automated LC-GC system for MOSH and MOAH analysis in food, according to EN 16995:2017
2023|Thermo Fisher Scientific|Applications
Application note | 002208 Food safety Automated LC-GC system for MOSH and MOAH analysis in food, according to EN 16995:2017 Goal Authors Jorn Hofsteenge , Inge de Dobbeler , To streamline the analysis of mineral oil saturated and aromatic hydrocarbons…
Key words
mosh, moshmoah, moahepoxidation, epoxidationmineral, mineraloil, oilchannel, channelalox, aloxsample, sampleautomated, automatedery, eryspike, spikefood, foodpreparation, preparationstation, stationevoo
Determination of mineral oil contaminations in foodstuff, cosmetics and packaging
2018|Agilent Technologies|Applications
AS Application Note 1801 MOSH-MOAH Determination of mineral oil contaminations in foodstuff, cosmetics and packaging with the CHRONECT® Workstation MOSH/MOAH ASAN 1801 MOSH-MOAH – Status: April 2018 Page 1 / 8 AS Application Note 1801 MOSH-MOAH Introduction Device setup Mineral…
Key words
moah, moahmosh, moshchronect, chronecthplc, hplcmineral, mineralaluminum, aluminumvoltage, voltageoxide, oxideepoxidation, epoxidationolefins, olefinsbiogenic, biogenichydrocarbons, hydrocarbonsperylene, peryleneoil, oiltime