Xue An, Janine Kopka, Michael Rode, Manuela Zude-Sasse
{"title":"Relationship of Cell Size Distribution and Biomechanics of Strawberry Fruit Under Varying Ca and N Supply","authors":"Xue An, Janine Kopka, Michael Rode, Manuela Zude-Sasse","doi":"10.1007/s11947-024-03491-0","DOIUrl":null,"url":null,"abstract":"<p>Bruising due to compression of strawberry fruit is the major cause for fruit decay, resulting in food waste, which can be observed macroscopically as the result of texture failures. In the present study, laser light scattering density (LSD) analysis was applied to study the effect of cell size distribution percentages on fruit mechanics, considering three growth stages and added variance by foliar spray application of Ca, N, and Ca-N. The growth rate k considering cell size range 300–450 µm was enhanced in N compared to Ca treatment with 0.8 and 0.5, respectively. Comparison of cell sizes and mechanical fruit tissue properties reveals a strong effect of cell size on fruit mechanics. Based on cell size data, the particles in discrete element models (DEM) were established, applying a simple contact model of Hertz-Mindlin to test the effect of LSD data input, when simulating the compression peak force of strawberry tissue. Comparing measured compression data and DEM simulation, the mean square error was reduced, e.g., for Ca group of over-ripe fruit, from 9.6 to 6.5% when LSD percentages of cell size distribution were considered. Concluding, the newly available cell size distribution data provide valuable information on fruit growth and enable the simulation of fruit tissue compression under varying environmental growth conditions. The enhanced simulation accuracy of LSD-DEM approach makes the approach relevant for plant nutrition, developing robot harvesters, sorting devices, and shelf life assessment of fresh fruit.</p>","PeriodicalId":562,"journal":{"name":"Food and Bioprocess Technology","volume":"13 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food and Bioprocess Technology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s11947-024-03491-0","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Bruising due to compression of strawberry fruit is the major cause for fruit decay, resulting in food waste, which can be observed macroscopically as the result of texture failures. In the present study, laser light scattering density (LSD) analysis was applied to study the effect of cell size distribution percentages on fruit mechanics, considering three growth stages and added variance by foliar spray application of Ca, N, and Ca-N. The growth rate k considering cell size range 300–450 µm was enhanced in N compared to Ca treatment with 0.8 and 0.5, respectively. Comparison of cell sizes and mechanical fruit tissue properties reveals a strong effect of cell size on fruit mechanics. Based on cell size data, the particles in discrete element models (DEM) were established, applying a simple contact model of Hertz-Mindlin to test the effect of LSD data input, when simulating the compression peak force of strawberry tissue. Comparing measured compression data and DEM simulation, the mean square error was reduced, e.g., for Ca group of over-ripe fruit, from 9.6 to 6.5% when LSD percentages of cell size distribution were considered. Concluding, the newly available cell size distribution data provide valuable information on fruit growth and enable the simulation of fruit tissue compression under varying environmental growth conditions. The enhanced simulation accuracy of LSD-DEM approach makes the approach relevant for plant nutrition, developing robot harvesters, sorting devices, and shelf life assessment of fresh fruit.
期刊介绍:
Food and Bioprocess Technology provides an effective and timely platform for cutting-edge high quality original papers in the engineering and science of all types of food processing technologies, from the original food supply source to the consumer’s dinner table. It aims to be a leading international journal for the multidisciplinary agri-food research community.
The journal focuses especially on experimental or theoretical research findings that have the potential for helping the agri-food industry to improve process efficiency, enhance product quality and, extend shelf-life of fresh and processed agri-food products. The editors present critical reviews on new perspectives to established processes, innovative and emerging technologies, and trends and future research in food and bioproducts processing. The journal also publishes short communications for rapidly disseminating preliminary results, letters to the Editor on recent developments and controversy, and book reviews.