Laser diode against fraudulent oil

Laser diode against fraudulent oil https://noticiasdelaciencia.com/upload/images/12_2018/3827_diodo-laser-contra-el-aceite-fraudulento_image_380.jpg?15

Laser diode against fraudulent oil





Researchers from the Complutense University of Madrid (UCM) (Spain) and the Scintillon Institute in the USA have designed a sensor that allows detecting fakes in the content of olive oil labeled as extra virgin or with designation of origin.

 

The tool, whose application has been presented in the Talanta magazine, allows to distinguish apparently similar oils, but with notable quality differences. This is possible thanks to the use of laser diodes, since the adulterated oils have a slightly different fluorescence emission than pure extra virgin olive oils.

 

Both in its use and in its construction, with 3D printer, the instrument has a reduced cost. "Other clear advantages of our study is the possibility of carrying out measurements in situ, since the equipment is portable, the size of a briefcase, as well as giving rise to real-time answers", explains José S. Torrecilla, Full Professor and researcher of the Department of Chemical Engineering and Materials of the UCM.

 

For the olive sector it is a measure to alleviate a problem that generates large economic losses. "Olive oil is a product whose quality is recognized nationally and internationally. Therefore, it is necessary to protect this quality and fight against fraudulent activities that take place with increasing frequency and skill in the sector ", justifies the UCM researcher.

 

An example of fraudulent practice, says Torrecilla, would be when olive oils or other botanical origins of lower quality and price are added to a fresh and pure extra virgin olive oil.

 



 

The sensor allows to distinguish apparently similar oils. (Photo: Esencia Andalusí)

 

To carry out the study, the researchers made mixtures between monovarietal oils with denomination of origin with other oils of denomination of origin, but outside their date of preferential consumption. All these oils have been purchased in the malls linear.

 

Subsequently, blends of oils containing between 1% and 17% by weight of the oil were made out of the preferred consumption date. Finally, the measurements were made with the sensor that was manufactured with a 3D printer and the results obtained were analyzed by means of chaotic algorithms.

 

"This technique is available to be used at any time, it would only require oils at moments prior to packaging for quality controls or after packaging to locate brands and / or fraudulent producers," concludes the UCM researcher. (Source: Complutense University of Madrid)
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