Quality Evaluation of Shelled and Unshelled Macadamia Nuts by Means of Near‐Infrared Spectroscopy (NIR) |
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| Authors: | Giovanna Canneddu Luis Carlos Cunha Júnior Gustavo Henrique de Almeida Teixeira |
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| Affiliation: | 1. Dipt. di Agraria, Univ. degli Studi di Sassari, Via Enrico de Nicola, Sassari, Italy;2. Univ. Federal de Goiás (UFG), Escola de Agronomia (EA), Setor de Horticultura. Avenida Esperan?a s/n – Campus Universitário, Goiania, GO, Brazil;3. Univ. Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias (FCAV), Via de acesso Prof. Paulo Donato Castellane s/n, Jaboticabal, SP, Brazil |
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| Abstract: | The quality of shelled and unshelled macadamia nuts was assessed by means of Fourier transformed near‐infrared (FT‐NIR) spectroscopy. Shelled macadamia nuts were sorted as sound nuts; nuts infected by Ecdytolopha aurantiana and Leucopteara coffeella; and cracked nuts caused by germination. Unshelled nuts were sorted as intact nuts (<10% half nuts, 2014); half nuts (March, 2013; November, 2013); and crushed nuts (2014). Peroxide value (PV) and acidity index (AI) were determined according to AOAC. PCA‐LDA shelled macadamia nuts classification resulted in 93.2% accurate classification. PLS PV prediction model resulted in a square error of prediction (SEP) of 3.45 meq/kg, and a prediction coefficient determination value (Rp2) of 0.72. The AI PLS prediction model was better (SEP = 0.14%, Rp2 = 0.80). Although adequate classification was possible (93.2%), shelled nuts must not contain live insects, therefore the classification accuracy was not satisfactory. FT‐NIR spectroscopy can be successfully used to predict PV and AI in unshelled macadamia nuts, though. |
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| Keywords: | acidity index Ecdytolopha aurantiana LDA Leucopteara coffeella Macadamia integrifolia Maiden & Betche PCA peroxide value PLS PLS‐DA |
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