Determinação Da Autenticidade De Amostras De Azeite Comerciais Apreendidas No Estado Do Espírito Santo Usando Um Espectrofotômetro Portátil Na Região Do Nir

Abstract

Recebido em 02/02/2020; aceito em 06/04/2020; publicado na web em 20/05/2020 DETERMINATION OF THE AUTHENTICITY OF COMMERCIAL OLIVE OIL SAMPLES SEIZED IN THE ESPÍRITO SANTO STATE USING A PORTABLE SPECTROPHOTOMETER IN THE NIR REGION. Many instrumental techniques are used to monitor the quality of food products, highlighting near infrared spectroscopy (NIRS).In order to determine the authenticity of 60 commercial oil samples seized by the Espírito Santo state police, this work used a portable spectrometer in the NIR region associated with chemometric tools such as principal component analysis (PCA) and partial least squares regression (PLS) to classify and quantify possible adulterants present such as soybean oil. In addition, physicochemical tests (acidity, peroxide and ultraviolet absorption) were carried out on commercial samples. The PLS regression model built to quantify soybean oil showed a coefficient of determination (R 2 ) greater than 0.99, showing itself to be satisfactory. The results showed that all samples analyzed had a high content of adulterant and cannot be classified as extra virgin olive oil.

Portable NIR spectroscopy: the route to green analytical chemistry

“… Violino et al (2022) evaluated the performance of a handheld VIS–NIR system to determine 203 oil samples quality. Ciaccheri et al reported a bluetooth-connected pocket NIR spectrometer for the analysis of olive oils of different qualities ( Ciaccheri et al, 2022 ) and a similar study was published by Santos and coworkers ( Borghi et al, 2020 ; Santos et al, 2020 ; Santos et al, 2022 ).…”

Rapid analysis technologies with chemometrics for food authenticity field: A review

“…In a study examining pumpkin seed oil for sunflower oil adulteration, NIR combined with orthogonal partial least-squares discriminant analysis (OPLS-DA) completely distinguished pure pumpkin seed oil from the adulterated version, with an accurate discrimination rate of 100% ( Balbino et al, 2022 ). Similarly, the differentiation between olive oil and soy oil was achieved by NIR, and NIR combined with partial least squares regression (PLSR) algorithm could predict the amount of olive oil adulterated with soy oil, with a coefficient of determination (R 2 ) as high as 0.975 ( Santos et al, 2020 ). NIR for fruits has been studied mainly to distinguish their breeds in terms of breeds or species identification.…”

Espectroscopia Raman Portátil No Combate a Adulteração De Azeite De Oliva Extravirgem Por Óleo De Soja

“…Os valores obtidos de óleo de soja foram superiores a 94,5wt% de adulterante, confirmando assim a não conformidade das cinco marcas avaliadas. Santos e colaboradores utilizaram a espectroscopia NIR para quantificar óleo de soja nas cinco marcas de azeite de oliva do presente estudo (SANTOS et al, 2020). O resultado da quantificação de óleo de soja foi em média de 97wt%, corroborando com os resultados obtidos.…”