Application of failure mode and effect analysis and cause and effect analysis and Pareto diagram in conjunction with HACCP to a chocolate-producing industry: A case study of tentative GMO detection at pilot plant scale

Although the application of hazard analysis critical control point in the food industry dates back to the 1970s, a more quantitative and reliable approach towards risk assessment became feasible through application of failure mode and effect analysis (FMEA) model. A tentative approach of FMEA application to a filled chocolate-producing industry was attempted in an effort to exclude the presence of genetically modified organisms (GMOs) in the final product. This is of crucial importance both from the moral (ethics) and the legislation (EC 1829/2003; EC 1830/2003; EC 18/2001) point of view. Two structured methods (preliminary hazard analysis and fault tree analysis) were used to analyse and predict the occurring failure modes in food chain system, based on the functions, characteristics and/or interactions of the ingredients or the processes, upon which the system depends. Cause and effect diagram (also known as Ishikawa, tree diagram and fishbone diagram) and Pareto diagram emerged as two very useful and effective tools towards optimising the GMO detection potential of FMEA

Gemeinschaftsgeschmacksmuster : Kommentar /

Includes bibliographical references and index

‘<i>Moringa oleifera</i>: study of phenolics and glucosinolates by mass spectrometry’

Moringa oleifera is a medicinal plant and an excellent dietary source of micronutrients (vitamins and minerals) and health-promoting phytochemicals (phenolic compounds, glucosinolates and isothiocyanates). Glucosinolates and isothiocyanates are known to possess anti-carcinogenic and antioxidant effects and have attracted great interest from both toxicological and pharmacological points of view, as they are able to induce phase 2 detoxification enzymes and to inhibit phase 1 activation enzymes. Phenolic compounds possess antioxidant properties and may exert a preventative effect in regards to the development of chronic degenerative diseases. The aim of this work was to assess the profile and the level of bioactive compounds in all parts of M. oleifera seedlings, by using different MS approaches. First, flow injection electrospray ionization mass spectrometry (FI-ESI-MS) fingerprinting techniques and chemometrics (PCA) were used to achieve the characterization of the different plant's organs in terms of profile of phenolic compounds and glucosinolates. Second, LC-MS and LC-MS/MS qualitative and quantitative methods were used for the identification and/or determination of phenolics and glucosinolates in M. oleifera.</br