02029naa a2200253 a 450000100080000000500110000800800410001902400330006010000200009324500890011326000090020252013060021165000260151765000110154365000200155465000190157465000180159370000210161170000290163270000170166170000190167870000180169777300600171521100292023-01-27       2019    bl uuuu     u00u1 u    #d7 a10.1111/1750-3841.144672DOI1 aKAUFMANN, K. C.  aPortable NIR spectrometer for prediction of palm oil acidity.h[electronic resource]  c2019  aPalm 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 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 R2 = 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.  aComposição Química  aDendê  aElaeis Oleifera  aEspectrômetro  aÓleo Vegetal1 aFAVERO, F. de F.1 aVASCONCELOS, M. A. M. de1 aGODOY, H. T.1 aSAMPAIO, K. A.1 aBARBIN, D. F.  tJournal of Food Sciencegv. 84, n. 3, p. 406-411, 2019.