Predicting oil content in ripe Macaw fruits (Acrocomia aculeata) from unripe ones by near infrared spectroscopy and PLS regression

Ulisses F Oliveira; Annanda M Costa; Jussara V Roque; Wilson Cardoso; Sergio Y Motoike; Marcio H P Barbosa; Reinaldo F Teofilo

doi:10.1016/j.foodchem.2021.129314

Predicting oil content in ripe Macaw fruits (Acrocomia aculeata) from unripe ones by near infrared spectroscopy and PLS regression

Food Chem. 2021 Jul 30:351:129314. doi: 10.1016/j.foodchem.2021.129314. Epub 2021 Feb 18.

Authors

Ulisses F Oliveira¹, Annanda M Costa², Jussara V Roque³, Wilson Cardoso⁴, Sergio Y Motoike⁵, Marcio H P Barbosa⁶, Reinaldo F Teofilo⁷

Affiliations

¹ Multivariate Chemical Data Analysis Laboratory, Department of Chemistry, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: [email protected].
² Campus Ponta Porã, Instituto Federal de Mato Grosso do Sul, 79100-510 Campo Grande, MS, Brazil.
³ Multivariate Chemical Data Analysis Laboratory, Department of Chemistry, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: [email protected].
⁴ Multivariate Chemical Data Analysis Laboratory, Department of Chemistry, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: [email protected].
⁵ Department of Agronomy, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: [email protected].
⁶ Department of Agronomy, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: [email protected].
⁷ Multivariate Chemical Data Analysis Laboratory, Department of Chemistry, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: [email protected].

PMID: 33647696
DOI: 10.1016/j.foodchem.2021.129314

Abstract

A method for early quantification of unripe macaw fruits oil content using near-infrared spectroscopy (NIR) and partial least squares (PLS) is presented. After harvest, the fruit takes about 30 days to reach its maximum oil accumulation. The oil content was quantified thirty days after harvest using Soxhlet extraction. PLS models were built using NIR spectra of shell obtained five days after harvest (Shell5). The Shell5 model was compared with models built using NIR spectra of the shell (Shell30) and mesocarp thirty days after harvest (Pulp30). Ordered predictors selection was used to select the most informative variables. The best models presented root mean square error of prediction and correlation coefficient of prediction of 4.87% and 0.89 for Shell5; 5.83% and 0.85 for Shell30; 4.76% and 0.92 for Pulp30. Thus, the anticipated prediction of oil content could reduce the time and costs of macaw palm quality control and storage.

Keywords: Early prediction; Macaw palm; Multivariate regression; Near-infrared spectroscopy; Partial least squares.

MeSH terms

Arecaceae / chemistry*
Fruit / chemistry*
Plant Oils / analysis*
Spectroscopy, Near-Infrared / methods*

Substances

Plant Oils