Determination of the Fat Content Profile of different Chocolate Products using an Automated Workflow for the Generation of Fatty Acid Methyl Esters (FAME)
Poster Apr 24, 2017
Reto Bolliger, Hans-Joachim Huebschmann, Guenter Boehm
The composition of the fat in chocolate is an important factor influencing the quality of chocolate. Specifically the replacement of cocoa butter by replacements or CBEs (cocoa butter equivalents) is of interest to food quality laboratories .
The determination of fat content and composition of food samples via fatty acid methyl esters is a very common task in governmental, quality control (QC) or contract research laboratories (CRO).
This work presents a fully automated workflow of this procedure using an autosampler with robotic tool change (PAL RTC). The automated workflow improves process safety and minimizes handling errors. The PAL RTC was equipped with (i) an automated dilutor to handle all liquids for the reactions and the extraction and for the cleaning steps, a 25 µL syringe for internal standard addition, (ii) a vortex module to provide fast mixing and extracting and (iii) a normal 10µl syringe tool to inject the sample to the GC. The software of the sampler allows overlapped (prep ahead) sample processing, which increases the efficiency and sample throughput.
The method allows the determination of total fat content, quantitative analysis of saturated and unsaturated cis- and trans- fatty acids. The use of three internal standards allows controlling the yield of extraction, transesterification and undesired saponification [2-4]. Chocolate samples from Japan, Switzerland and the USA were analyzed. The data allowed a clear classification of the chocolates in terms of content of cocoa butter and replacements.
 Buchgraber M, Andronis S, J. AOAC 90 (2007) 1326-1339
 Arens M. et al., Fat Sci. Technol. 96 (1994) 67-68
 Suter B. et al., Z Lebensm. Unters. Forsch. A 204 (1997) 252-258
 de Koning S. et al., J. Chromatography A 922 (2001) 391–397
Application of Solid Phase Micro Extraction (SPME) and On‐Fiber Derivatization to Detect Precursors of Biomolecules in the study of Proto‐metabolismPoster
In the studies of origins of life, plausible synthetic reaction pathways to form biological relevant molecules, or building blocks of proto‐bilayer lipids, protein, RNA, and DNA in the primitive environment have been investigated intensively.READ MORE
Characterizing GPCR Activation Using Automated Live Cell ImagingPoster
Here we describe a live cell imaging based approach to detect GPCR activation using the Lionheart™ FX Automated Live Cell Imager and Gen5™ Microplate Reader and Imager Software.READ MORE
A New Tool for the Automated Sample Preparation of Whole Blood Samples by LC-MS using a Commercial AutosamplerPoster
Automated sample preparation reduces the costs per sample and minimizes sample handling errors. Usually expensive and highly specialized pipetting robots are used. However, most of these systems are not designed with a direct interface for LC-MS applications. In addition common pipetting systems are not optimized for smaller scale sample series. Here we present a new tool for liquid handling of whole blood samples and direct sample injection.
Comments | 0 ADD COMMENT
8th International Symposium on Recent Advances in Food Analysis (RAFA 2017)
Nov 07 - Nov 10, 2017
6th Edition of International Conference on Pharmacognosy and Medicinal Plants
Apr 16 - Apr 17, 2018