Portable NIR Spectrometer for Prediction of Palm Oil Acidity

Author(s)

Kaufmann, Karine Cristine ^[1] ; Favero, Flavia de Faveri ^[1] ; Marcal de Vasconcelos, Marcus Arthur ^[2] ; Godoy, Helena Teixeira ^[2] ; Sampaio, Klicia Araujo ^[1] ; Barbin, Douglas Fernandes ^[1]

Affiliation

^[1] Univ Campinas UNICAMP, Dept Food Engn, Rua Monteiro Lobato 80 Cidade Univ Zeferino Vaz, BR-13083862 Campinas, SP - Brazil

^[2] Univ Campinas UNICAMP, Dept Food Sci, Rua Monteiro Lobato 80 Cidade Univ Zeferino Vaz, BR-13083862 Campinas, SP - Brazil

• Document type: Journal article
• Source: Journal of Food Science; v. 84, n. 3, p. 406-411, MAR 2019.
• Web of Science Citations: 0

Abstract

Palm oil is widely used in the food industry, and its quality is associated with the free fatty acids (FFA) content. Determination of FFA in oil is time-consuming, requires chemicals and generates residues. There is a trend of applying process analytical technologies (PAT) for fast and nondestructive determination of oil parameters. Portable near-infrared (NIR) spectrometers are cheaper than bench top equipment, and have been used for several tasks in the food processing industry, as it provides fast and reliable data for inline measurements. This study investigated the use of NIR spectra using a portable equipment, combined with both unsupervised and supervised multivariate analyses for identification of palm oil samples with different levels of FFA. Soft independent modeling of class analogy , k-Nearest Neighbors, and linear discriminant analysis models were able to correctly identify 100% of the studied samples with selected wavelengths from NIR spectra. Calibration models were performed for acidity prediction, achieving R-2 = 0.97, with root mean square error of prediction = 4.37 for partial least squares model using most relevant wavelengths. These results demonstrate the feasibility of applying a low-cost portable NIR spectrophotometer to predict quality parameters of palm oil. (AU)

• FAPESP's process: 14/21252-0 - Equilibrium and production processes of biofuels and bioproducts
• Grantee: Antonio José de Almeida Meirelles
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 15/24351-2 - Applications of image analyses and NIR spectroscopy for quality assessment and authentication of food products
• Grantee: Douglas Fernandes Barbin
• Support Opportunities: Research Grants - Young Investigators Grants