Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7585529 | Food Chemistry | 2018 | 29 Pages |
Abstract
Grape, orange, peach and passion fruit nectars were formulated and adulterated by dilution with syrup, apple and cashew juices at 10 levels for each adulterant. Attenuated total reflectance Fourier transform mid infrared (ATR-FTIR) spectra were obtained. Partial least squares (PLS) multivariate calibration models allied to different variable selection methods, such as interval partial least squares (iPLS), ordered predictors selection (OPS) and genetic algorithm (GA), were used to quantify the main fruits. PLS improved by iPLS-OPS variable selection showed the highest predictive capacity to quantify the main fruit contents. The selected variables in the final models varied from 72 to 100; the root mean square errors of prediction were estimated from 0.5 to 2.6%; the correlation coefficients of prediction ranged from 0.948 to 0.990; and, the mean relative errors of prediction varied from 3.0 to 6.7%. All of the developed models were validated.
Keywords
Oxalic acid (PubChem CID: 971)l-Ascorbic acid (PubChem CID: 54670067)Methylene blue (PubChem CID: 6099)Sodium hypochlorite (PubChem CID: 23665760)Phenolphthalein (PubChem CID: 4764)d-Glucose (PubChem CID: 5793)Ethanol (PubChem CID: 702)Acetone (PubChem CID: 180)Variable selectionMultivariate analysisFood fraudMid-infrared spectroscopySodium hydroxide (PubChem CID: 14798)Potassium chloride (PubChem CID: 4873)Chemometrics
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Carolina Sheng Whei Miaw, Camila Assis, Alessandro Rangel Carolino Sales Silva, Maria LuÃsa Cunha, Marcelo Martins Sena, Scheilla Vitorino Carvalho de Souza,