A team led by Santiago Marco, professor on the Division of Digital Engineering of the UB and member of IBEC, has optimized the use of a formulation that analyzes, at a molecular stage, the most up to the moment substances within the aroma of food. Therefore, it differentiates, among Iberian ham samples, these pigs that had been fed with acorn and these fed with feed.
The aroma of food is one in every of the critical indicators of its quality, and it could bring extra files on the phases of its production. The diagnosis of the aromas by procedure of up to the moment ways offers alternatives to the human evaluation, and it is miles a stable and reliable tool for detecting frauds, which tend to occur within the market of the Iberian ham, olive oil, honey and wine.
Indubitably one of the most principal crucial highly efficient and promising ways within the sphere of aroma characterization in food is the gasoline chromatography—ion mobility spectrometry (GC-IMS), which is rapid, efficient, financial and uncomplicated to skedaddle. Without reference to its multiple advantages, the diagnosis of the raw files created with this plan is extremely advanced, which makes it troublesome and bounds its use.
Now, a survey has enabled the attain of most up to the moment complaints for the diagnosis of GC-IMS files of aromas in food, opening the door to the different of building custom-made analysers to ascertain the usual and authenticity of high cost food products.
On this survey, lately printed within the journal Sensors, researchers most up to the moment a methodology that goes from raw files processing to the closing characterization of the sample. For its validation, they uncover got been ready to predict the pig feeding regime (acorn or feed) in samples of Iberian ham.
Rafael Freire et al, Plump Workflows for the Prognosis of Gas Chromatography—Ion Mobility Spectrometry in Foodomics: Utility to the Prognosis of Iberian Ham Aroma, Sensors (2021). DOI: 10.3390/s21186156
Man made smelling to manipulate food quality (2021, November 11)
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