{"id":73020,"date":"2025-06-04T08:44:56","date_gmt":"2025-06-04T05:44:56","guid":{"rendered":"https:\/\/icia.ro\/?page_id=73020"},"modified":"2025-12-04T13:58:47","modified_gmt":"2025-12-04T11:58:47","slug":"raido","status":"publish","type":"page","link":"https:\/\/icia.ro\/en\/raido\/","title":{"rendered":"RAIDO"},"content":{"rendered":"

Project title: <\/span><\/b>In Situ<\/span><\/i><\/b> Detection of Olive Oil Adulteration Using Raman Spectroscopy and Machine Learning Algorithms<\/span><\/b>\u00a0<\/span><\/p>\n

Acronym<\/span><\/b>: RAIDO<\/span>\u00a0<\/span><\/p>\n

Scientific field<\/span><\/b>: Technological processes<\/span>\u00a0<\/span><\/p>\n

Contract no: <\/span><\/b>5BMTR\/2025<\/span>\u00a0<\/span><\/p>\n

Program\u00a0<\/span><\/b>\u00a0<\/span>5.8 \u2013 European and International Cooperation Program, 5.8.3 Bilateral\/Multilateral Sub-Program\u00a0<\/span>
\n<\/span>Romania-Turkey mobility projects<\/span>\u00a0<\/span><\/p>\n

Contracting Authority: <\/span><\/b>Executive Unit for Financing Higher Education, Research, Development and Innovation (UEFISCDI), Romania<\/span>\u00a0<\/span><\/p>\n

Partners:<\/span><\/b>\u00a0<\/span><\/p>\n

Romanian Partner<\/span><\/b>
\n<\/span><\/b>National Institute of Research and Development for Optoelectronics INOE 2000<\/span>, Subsidiary<\/span> Research Institute for Analytical Instrumentation<\/span> (ICIA) Cluj Napoca, Romania<\/span>
\n<\/span>67 Donath Street, Cluj-Napoca, 400293<\/span>
\n<\/span>Phone: +40-264-420590<\/span><\/b>
\n<\/span>Fax: +40-264-420667<\/span><\/b>
\n<\/span>Email: <\/span><\/b>icia@icia.ro<\/span><\/b><\/a>\u00a0<\/span>\u00a0<\/span><\/p>\n

Project responsible<\/span><\/b>
\n<\/span>Dr. Lacrimioara SENILA<\/span>
\n<\/span>E-mail: <\/span>lacri.senila@icia.ro<\/span><\/a>;\u00a0 <\/span>icia@icia.ro<\/span><\/a>\u00a0<\/span><\/p>\n

Turkey Partner<\/span><\/b>\u00a0<\/span><\/p>\n

Ministry of Agriculture and Forestry, Olive Research Institute (ORI)<\/span>
\n<\/span>Str. Universite Caddeil, nr. 43, Izmir, 35100, Turcia<\/span>\u00a0<\/span><\/p>\n

Project responsible<\/span><\/b>: Dr. Didar SEVIM<\/span>
\n<\/span>E-mail: <\/span>dcengeler@gmail.com<\/span><\/a>, <\/span>https:\/\/arastirma.tarimorman.gov.tr\/<\/span><\/a>\u00a0<\/span><\/p>\n

Abstract<\/span><\/b>\u00a0<\/span><\/p>\n

Adulteration of olive oil is a major problem in the food industry, affecting both product quality and consumer confidence. The aim of this bilateral project is to develop <\/span>in situ<\/span><\/i> Raman spectroscopy methods for the detection of adulteration in olive oil and, to develop machine learning algorithms for the interpretation of spectroscopic data and the identification of adulteration. It is also proposed to develop a prototype integrating Raman spectroscopy and the developed machine learning algorithms. The Romanian partner has extensive experience in food quality analysis and the application of <\/span>in situ<\/span><\/i> Raman spectroscopy, while the Turkish partner has rich experience in the olive oil industry, from genetics and plant biology to processing technologies and quality standards. The complementarity of the two research teams will lead to the development of new Raman spectroscopy methods for the rapid and accurate identification of impurities and unauthorized substituents in olive oil.<\/span>\u00a0<\/span><\/p>\n

Project objective<\/span><\/b>\u00a0<\/span><\/p>\n

The major objective of the RAIDO project is to develop an innovative <\/span>in situ<\/span><\/i> olive oil adulteration detection system using Raman spectroscopy in combination with advanced machine learning algorithms.<\/span>\u00a0<\/span><\/p>\n

Estimated results<\/span><\/b>\u00a0<\/span><\/p>\n