The practice-oriented workshops at analytica Vietnam imparted highly topical know-how for laboratory users.
Please find more information on the 2023's tutorials below:
- Workshop I: 3-MCPD and MOSH/MOAH Analysis - Learn about the details of the automated workflows for routine analysisDr. Hans-Joachim Hübschmann and Lotus Lean Hua Saw, Axel Remsau GmbH, part of Trajan Scientific Medical, Germany
April 19, 2023 (10am - 12 noon)
About the workshop
3-MCPD (3-monochloropropane-1,2-diol), glycidol and the MOSH/MOAH mineral oil substances are regulated contaminants in many foodstuffs. The manual sample preparation is complex with many steps and prone to operator bias making it difficult to reproduce and compare results. The control of 3-MCPD and glycidol in oil raffination processes, in particular for palm oil products, requires fast and reproducible analysis methods. Food contaminations by mineral oil hydrocarbons (MOH) can occur during food processing and from food contact materials. In both cases, 3-MCPD and MOH, serious impact on consumer health due carcinogenicity is reported and led to regulations with maximum residue concentrations that makes reproducible trace analysis of these compounds on global level indispensable. This workshop presents the fully automated sample preparation methods and analysis according to the international regulations and standards have been developed and are in use in governmental, industrial and private laboratories globally.
The automated analysis of 3-MCPD, also 2-MCPD and glycidol in edible oils uses the AxelSemrau CHRONECT Workstation MCPD with the automated hydrolysis of the fatty acid esters, then derivatization using phenylboronic acid. Analysis is done online by GC-MS or GC-MS/MS. All international ISO and AOCS standard methods have been implemented as automated workflows.
The automated MOSH/MOAH analysis in food requires the separation of the saturated hydrocarbons from the cancerogenic aromatic compounds which can only achieved by a normal phase liquid chromatography. The complete automated workflow using the CHRONECT Workstation MOSH/MOAH including the removal of biogenic interferences from alkanes (AlOx clean-up) and from natural olefins by a proprietary epoxidation step to avoid the overestimation of the critical MOAH content, is presented.
KEYWORDS: 3-MCPD, 2-MCPD, glycidol, vegetable oil raffination, palm oil, mineral oil hydrocarbons, MOH, MOSH, MOAH, food contact materials, CHRONECT PAL System
- About Dr. Hans-Joachim Hübschmann
Hans-Joachim Huebschmann graduated as Certified Food Chemist from the Technical University in Berlin, Germany, working on residue analysis of anabolic agents and pesticides in foods.
Hans started his career in diagnostics, medical analytical instruments and application development working for a number of German companies in chromatography, mass spectrometry and in biotechnology. In 2002 he joined Thermo Fisher Scientific in Bremen, Germany, and held several international positions covering inorganic and isotope ratio mass spectrometry, high resolution GC-MS and GC-MS/MS, specializing in food safety, forensic and dioxin analysis. In 2015 Hans established the independent agency HANS Analytical Solutions active as independent consultant for companies in Europe and Asia for the development of automated analytical sample preparation workflows. In his current international capacity Hans is located in Europe and Osaka, Japan.
Hans is the author of the popular Wiley "Handbook of GC-MS", available internationally already in is 3rd edition in 2015, 776 pages
A second just launched textbook covers the automated solutions for sample preparation for GC-MC and LC-MS, November 2021, 480 pages
- Tutorial II: Automated Sample Preparation for LC/MS and GC/MS in food, forensic and materials research analysisMs. Shalene Goh, PhD, Gerstel LLP, Singapore
April 4, 2019 (9am - 12 noon)About the tutorial
Development of Mass Spectrometers coupled to chromatographic separation techniques is continuously ongoing and overall performance is improved steadily. Decreasing the possible Limit of Detection (LoD), and Limit of Quantitation (LoQ) and hence reaching best sensitivity in various sample matrices is greatly dependent on the back end detector in use. However, even the most sensitive MS can only detect what analyte amount reached the analytical column, and therefore a key emphasis should also be given to the front end; the sample preparation and the sample introduction part. Increasing throughput, extending the range of automation, miniaturizing sample volume and solvent usage are key factors in completing sensitive and robust sample analysis from the initial sample all the way to detectable and quantifiable peaks of interest.
A major field where entire sample handling is crucial is Food Safety, where emerging contaminants such as various pesticides or 3-MCPD and Glycidol in Edible Oils and Fats are currently under scope of research and in need of efficient regulations and adequate analysis techniques. The work presented in the seminar shows complete automation of extracting 3-MCPD and Glycidol from different fat matrices and demonstrates how manual sample preparation in well-known QuEChERS procedure can be complemented by automation.
Another field where many manual sample handling steps are very common is forensic applications from diverse matrices. The available amount of initial biological sample such as urine, saliva, blood or serum can be very limited. Paired with time pressure to achieve high quality results it is of most importance to focus on efficient sample preparation techniques. In order to achieve fast and reliable data automated Hydrolysis, Extraction and Determination of Opioids in Urine using a Robotic Autosampler and LC-MS/MS Platform is presented as example for general routine analysis in the modern toxicology laboratory.
In addition to chosen liquid extraction techniques, a direct sample introduction technique based on Thermal desorption for Gas Chromatography with which excellent results can be achieved for investigating Volatile Organic Compounds (VOCs) from different materials such as food or pharmaceutical packages, materials used in car interiors or children toys is also presented.
Daily laboratory challenges from various fields and sample matrices can be faced using modern sample preparation and detection instruments, such as Mass Spectrometers. Choosing the right complete analysis procedure should always comprehend aspects such as human health, environmental aspects and increased sample throughput without sacrificing quality of obtained data.
About the speakers
Shalene Goh is currently working at Gerstel LLP Singapore as a regional application chemist, delivering application and technical expertise support for sample preparation. She previously obtained her PhD in Chemistry from National University of Singapore (NUS) and has developed numerous sample preparation methods with the use of chromatography/mass spectrometry systems, particularly on the automation of miniaturised extraction system with the use of commercially available autosampler. Since then, she has collaborated and worked in partnership with various major key players in the industries to develop automated analytical solutions to monitor contaminants or analytes of interest in a range of applications.
Christina Liew is a regional application chemist at Gerstel LLP Singapore where she provides application and technical support for automated sample preparation using Gerstel MultiPurpose Sampler in various industries. Previously, she received her Ph.D. in Analytical Chemistry from National University of Singapore (NUS) which focuses on the miniaturization and automation of sample preparation techniques hyphenated to gas/liquid chromatography-mass spectrometric system in the analysis of environmental contaminants.
Tan is a Regional Sales Manager for GERSTEL in South East Asia, South Korea and Oceania countries, based in Gerstel LLP Singapore. She has many years of experience in sales & marketing for analytical instrument market. Her responsibilities will be including supporting our distributors and developing new business opportunities.
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