A Comprehensive Peach Fruit Quality Evaluation Method for Grading and Consumption
Open Access
- 17 February 2020
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 10 (4), 1348
- https://doi.org/10.3390/app10041348
Abstract
Peaches are a popular fruit appreciated by consumers due to their eating quality. Quality evaluation of peaches is important for their processing, inventory control, and marketing. Eleven quality indicators (shape index, volume, mass, density, firmness, color, impedance, phase angle, soluble solid concentration, titratable acidity, and sugar–acid ratio) of 200 peach fruits (Prunus persica (L.) Batsch “Spring Belle”) were measured within 48 h. Quality indicator data were normalized, outliers were excluded, and correlation analysis showed that the correlation coefficients between dielectric properties and firmness were the highest. A back propagation (BP) neural network was used to predict the firmness of fresh peaches based on their dielectric properties, with an overall fitting ratio of 86.9%. The results of principal component analysis indicated that the cumulative variance of the first five principal components was 85%. Based on k-means clustering analysis, normalized data from eleven quality indicators in 190 peaches were classified into five clusters. The proportion of red surface area was shown to be a poor basis for picking fresh peaches for the consumer market, as it bore little relationship with the comprehensive quality scores calculated using the new grading model.Funding Information
- the national key Research and Development Program of China (No.2017YFE0111200)
This publication has 25 references indexed in Scilit:
- Studies on banana fruit quality and maturity stages using hyperspectral imagingJournal of Food Engineering, 2012
- Quality related principles of the South African beef classification system in relation to grading and classification systems of the worldSouth African Journal of Animal Science, 2011
- Evaluating banana ripening status from measuring dielectric propertiesJournal of Food Engineering, 2011
- Quality, Bioactive Compounds, and Antioxidant Activity of New Flat‐Type Peach and Nectarine Cultivars: A Comparative StudyJournal of Food Science, 2011
- Sensory profile of 'Douradão' peaches cold stored under controlled atmosphereFood Science and Technology, 2011
- Characterization of radio frequency heating of fresh fruits influenced by dielectric propertiesJournal of Food Engineering, 2008
- Development of a machine vision system for automatic date grading using digital reflective near-infrared imagingJournal of Food Engineering, 2008
- Surface Gloss Measurement on Eggplant FruitApplied Engineering in Agriculture, 2008
- Implementation of quality control methods (physico‐chemical, microbiological and sensory) in conjunction with multivariate analysis towards fish authenticityInternational Journal of Food Science & Technology, 2005
- The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observationsColor Research & Application, 2004