A combined sensory-instrumental tool for apple quality evaluation |
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| Affiliation: | 1. Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all’Adige, TN, Italy;2. Dipartimento Scienze Agrarie, University of Bologna, V.le Fanin 46, 40127 Bologna, Italy;1. Embrapa Uva e Vinho, Caixa Postal 130, 95700-000 Bento Gonçalves, RS, Brazil;2. Universidade Federal de Pelotas, Faculdade de Agronomia Eliseu Maciel, Departamento de Ciência e Tecnologia Agroindustrial, s/n° Caixa Postal 354, 96010-900 Pelotas, RS, Brazil;3. Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, IRHS – INRA – Bâtiment B, 42, Rue Georges Morel – BP 60057, 49071 Beaucouze Cedex, France;1. Apple Research Station, NARO Institute of Fruit Tree Science, 92-24 Shimokuriyagawa, Morioka, Iwate 020-0123, Japan;2. Iwate Agricultural Research Center, 20-1 Narita, Kitakami, Iwate 024-0003, Japan;1. Department of Agricultural and Biosystems Engineering, University of Kassel, Nordbahnhofstr. 1a, D-37213, Witzenhausen, Germany;2. Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Max-Eyth Allee 100, 14469, Potsdam, Germany;3. Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt University of Berlin, Hinter der Reinhardtstr. 6–8, 10115, Berlin, Germany;1. Departamento de Ingeniería Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Av. Wilfrido Massieu Esq. Cda. Miguel Stampa s/n, C.P. 07738 Gustavo A. Madero, Ciudad de México, Mexico;2. Centro de Nanociencias y Micro y Nanotecnologías, Instituto Politécnico Nacional, Luis Enrique Erro s/n, Unidad, Profesional Adolfo López Mateos, Col. Zacatenco, C.P. 07738 Ciudad de México, Mexico;3. Laboratorio de Inmunología Celular Departamento de Inmunología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala s/n, Col. Santo Tomás, C.P. 11340 Ciudad de México, Mexico;1. Dept. of Agricultural Machinery and Technology Engineering, Fac. of Agriculture, Akdeniz University, Antalya, Turkey;2. Dept. of Horticulture, Fac. of Agriculture, Akdeniz University, Antalya, Turkey;3. Engineering Dept., Lancaster University, Lancaster, United Kingdom |
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| Abstract: | A combined approach for perceptible quality profiling of apples based on sensory and instrumental techniques was developed. This work studied the correlation between sensory and instrumental data, and defined proper models for predicting sensory properties through instrumental measurements. Descriptive sensory analysis performed by a trained panel was carried out during two consecutive years, on a total of 27 apple cultivars assessed after two months postharvest storage. The 11 attributes included in the sensory vocabulary discriminated among the different apple cultivars by describing their sensory properties. Simultaneous instrumental profiling including colorimeter, texture analyser (measuring mechanical and acoustic parameters) and basic chemical measurements, provided a description of the cultivars consistent with the sensory profiles. Regression analyses showed effective predictive models for all sensory attributes (Q2 ≥ 0.8), except for green flesh colour and astringency, that were less effective (Q2 = 0.5 for both). Interesting relationships were found between taste perception and flesh appearance, and the combination of chemical and colorimeter data led to the development of an effective prediction model for sweet taste. Thus, the innovative sensory-instrumental tool described here can be proposed for the reliable prediction of apple sensory properties. |
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| Keywords: | Sensory profiling Physical properties Chemical properties Prediction models |
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