Postharvest precooling of fruit and vegetables: A review
Precooling is a critical step in the postharvest cold chain. Studies of the precooling of fruit and vegetables are based on the strong interactions between modelling, engineering, physiology and commercial outcomes. In recent years, new progress in precooling has been achieved. These achievements in...
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Veröffentlicht in: | Trends in food science & technology 2020-06, Vol.100, p.278-291 |
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description | Precooling is a critical step in the postharvest cold chain. Studies of the precooling of fruit and vegetables are based on the strong interactions between modelling, engineering, physiology and commercial outcomes. In recent years, new progress in precooling has been achieved. These achievements include different cooling strategies, research into precooling mechanisms, and numerical simulations. This review aims to provide the most recent information about precooling and promote its application in the fruit and vegetable industry.
Different precooling strategies are evaluated with respect to the cooling rate, cooling uniformity, and multiscale simulation. An overview of mathematical modeling approaches used to quantitatively describe precooling processes for computer-aided designs is provided. The effect of precooling on fruit quality at the physiological and molecular levels is outlined.
Numerical simulations have become widely used to improve the precooling performance. Cooling homogeneity, in particular, has attracted increasing attention in recent studies because of the substantial effects of cooling homogeneity on the precooling efficiency and produce quality. The spatial scale of numerical simulations of the precooling process has started to become more precise and specific. Recent numerical simulations have focused on the bin and package scale. Models of transport processes at multiple spatial scales are investigated using multiscale modeling. Moreover, the effect of precooling on produce quality has recently received increasing attention. In addition, the investigation of the effect of precooling on fruit at the metabolomic and genomic levels has become an emerging trend and has provided deeper insights into the molecular mechanisms underlying the effect of precooling treatments on fruit.
•The latest advances in fruit precooling study are highlighted, especially since 2001.•Numerical simulation is widely used, especially to improve cooling homogeneity.•Spatial scale study of precooling is more specific, mainly for bin and package scale.•Effect on fruits at the metabolomics and genomic levels starts to be investigated.•Different precooling strategies were further investigated to obtain good quality. |
doi_str_mv | 10.1016/j.tifs.2020.04.027 |
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Different precooling strategies are evaluated with respect to the cooling rate, cooling uniformity, and multiscale simulation. An overview of mathematical modeling approaches used to quantitatively describe precooling processes for computer-aided designs is provided. The effect of precooling on fruit quality at the physiological and molecular levels is outlined.
Numerical simulations have become widely used to improve the precooling performance. Cooling homogeneity, in particular, has attracted increasing attention in recent studies because of the substantial effects of cooling homogeneity on the precooling efficiency and produce quality. The spatial scale of numerical simulations of the precooling process has started to become more precise and specific. Recent numerical simulations have focused on the bin and package scale. Models of transport processes at multiple spatial scales are investigated using multiscale modeling. Moreover, the effect of precooling on produce quality has recently received increasing attention. In addition, the investigation of the effect of precooling on fruit at the metabolomic and genomic levels has become an emerging trend and has provided deeper insights into the molecular mechanisms underlying the effect of precooling treatments on fruit.
•The latest advances in fruit precooling study are highlighted, especially since 2001.•Numerical simulation is widely used, especially to improve cooling homogeneity.•Spatial scale study of precooling is more specific, mainly for bin and package scale.•Effect on fruits at the metabolomics and genomic levels starts to be investigated.•Different precooling strategies were further investigated to obtain good quality.</description><identifier>ISSN: 0924-2244</identifier><identifier>EISSN: 1879-3053</identifier><identifier>DOI: 10.1016/j.tifs.2020.04.027</identifier><language>eng</language><publisher>Cambridge: Elsevier Ltd</publisher><subject>Computer simulation ; Cooling ; Cooling effects ; Cooling rate ; Fruit and vegetables ; Fruits ; Homogeneity ; Mathematical models ; Metabolomics ; Molecular modelling ; Multiscale analysis ; Numerical simulation ; Physiological effects ; Precooling ; Precooling technique ; Quality ; Simulation ; Transport processes ; Vegetables</subject><ispartof>Trends in food science & technology, 2020-06, Vol.100, p.278-291</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jun 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-7e27ee09c38399585b77d770e64befc3a9b925737d5d49b35df28a98f7821ee53</citedby><cites>FETCH-LOGICAL-c328t-7e27ee09c38399585b77d770e64befc3a9b925737d5d49b35df28a98f7821ee53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.tifs.2020.04.027$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Duan, Yuan</creatorcontrib><creatorcontrib>Wang, Guan-Bang</creatorcontrib><creatorcontrib>Fawole, Olaniyi Amos</creatorcontrib><creatorcontrib>Verboven, Pieter</creatorcontrib><creatorcontrib>Zhang, Xin-Rong</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Opara, Umezuruike Linus</creatorcontrib><creatorcontrib>Nicolai, Bart</creatorcontrib><creatorcontrib>Chen, Kunsong</creatorcontrib><title>Postharvest precooling of fruit and vegetables: A review</title><title>Trends in food science & technology</title><description>Precooling is a critical step in the postharvest cold chain. Studies of the precooling of fruit and vegetables are based on the strong interactions between modelling, engineering, physiology and commercial outcomes. In recent years, new progress in precooling has been achieved. These achievements include different cooling strategies, research into precooling mechanisms, and numerical simulations. This review aims to provide the most recent information about precooling and promote its application in the fruit and vegetable industry.
Different precooling strategies are evaluated with respect to the cooling rate, cooling uniformity, and multiscale simulation. An overview of mathematical modeling approaches used to quantitatively describe precooling processes for computer-aided designs is provided. The effect of precooling on fruit quality at the physiological and molecular levels is outlined.
Numerical simulations have become widely used to improve the precooling performance. Cooling homogeneity, in particular, has attracted increasing attention in recent studies because of the substantial effects of cooling homogeneity on the precooling efficiency and produce quality. The spatial scale of numerical simulations of the precooling process has started to become more precise and specific. Recent numerical simulations have focused on the bin and package scale. Models of transport processes at multiple spatial scales are investigated using multiscale modeling. Moreover, the effect of precooling on produce quality has recently received increasing attention. In addition, the investigation of the effect of precooling on fruit at the metabolomic and genomic levels has become an emerging trend and has provided deeper insights into the molecular mechanisms underlying the effect of precooling treatments on fruit.
•The latest advances in fruit precooling study are highlighted, especially since 2001.•Numerical simulation is widely used, especially to improve cooling homogeneity.•Spatial scale study of precooling is more specific, mainly for bin and package scale.•Effect on fruits at the metabolomics and genomic levels starts to be investigated.•Different precooling strategies were further investigated to obtain good quality.</description><subject>Computer simulation</subject><subject>Cooling</subject><subject>Cooling effects</subject><subject>Cooling rate</subject><subject>Fruit and vegetables</subject><subject>Fruits</subject><subject>Homogeneity</subject><subject>Mathematical models</subject><subject>Metabolomics</subject><subject>Molecular modelling</subject><subject>Multiscale analysis</subject><subject>Numerical simulation</subject><subject>Physiological effects</subject><subject>Precooling</subject><subject>Precooling technique</subject><subject>Quality</subject><subject>Simulation</subject><subject>Transport processes</subject><subject>Vegetables</subject><issn>0924-2244</issn><issn>1879-3053</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kM1LAzEQxYMoWKv_gKcFz7vO5qNJxEspVoWCHvQc9mNSs9RNTdKK_70p9expYHhv5r0fIdc1VDXUs9uhSs7GigKFCngFVJ6QSa2kLhkIdkomoCkvKeX8nFzEOADktRATol59TB9N2GNMxTZg5_3GjevC28KGnUtFM_bFHteYmnaD8a6YFwH3Dr8vyZltNhGv_uaUvC8f3hZP5erl8XkxX5UdoyqVEqlEBN0xxbQWSrRS9lICzniLtmONbjUVksle9Fy3TPSWqkYrKxWtEQWbkpvj3W3wX7uc0gx-F8b80uQ2oDnMeJ1V9Kjqgo8xoDXb4D6b8GNqMAdCZjAHQuZAyAA3mVA23R9NmPPnTsHEzuHYYe8yiGR67_6z_wIVNG4Q</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Duan, Yuan</creator><creator>Wang, Guan-Bang</creator><creator>Fawole, Olaniyi Amos</creator><creator>Verboven, Pieter</creator><creator>Zhang, Xin-Rong</creator><creator>Wu, Di</creator><creator>Opara, Umezuruike Linus</creator><creator>Nicolai, Bart</creator><creator>Chen, Kunsong</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QR</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>202006</creationdate><title>Postharvest precooling of fruit and vegetables: A review</title><author>Duan, Yuan ; Wang, Guan-Bang ; Fawole, Olaniyi Amos ; Verboven, Pieter ; Zhang, Xin-Rong ; Wu, Di ; Opara, Umezuruike Linus ; Nicolai, Bart ; Chen, Kunsong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-7e27ee09c38399585b77d770e64befc3a9b925737d5d49b35df28a98f7821ee53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer simulation</topic><topic>Cooling</topic><topic>Cooling effects</topic><topic>Cooling rate</topic><topic>Fruit and vegetables</topic><topic>Fruits</topic><topic>Homogeneity</topic><topic>Mathematical models</topic><topic>Metabolomics</topic><topic>Molecular modelling</topic><topic>Multiscale analysis</topic><topic>Numerical simulation</topic><topic>Physiological effects</topic><topic>Precooling</topic><topic>Precooling technique</topic><topic>Quality</topic><topic>Simulation</topic><topic>Transport processes</topic><topic>Vegetables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Yuan</creatorcontrib><creatorcontrib>Wang, Guan-Bang</creatorcontrib><creatorcontrib>Fawole, Olaniyi Amos</creatorcontrib><creatorcontrib>Verboven, Pieter</creatorcontrib><creatorcontrib>Zhang, Xin-Rong</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Opara, Umezuruike Linus</creatorcontrib><creatorcontrib>Nicolai, Bart</creatorcontrib><creatorcontrib>Chen, Kunsong</creatorcontrib><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Trends in food science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Yuan</au><au>Wang, Guan-Bang</au><au>Fawole, Olaniyi Amos</au><au>Verboven, Pieter</au><au>Zhang, Xin-Rong</au><au>Wu, Di</au><au>Opara, Umezuruike Linus</au><au>Nicolai, Bart</au><au>Chen, Kunsong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Postharvest precooling of fruit and vegetables: A review</atitle><jtitle>Trends in food science & technology</jtitle><date>2020-06</date><risdate>2020</risdate><volume>100</volume><spage>278</spage><epage>291</epage><pages>278-291</pages><issn>0924-2244</issn><eissn>1879-3053</eissn><abstract>Precooling is a critical step in the postharvest cold chain. Studies of the precooling of fruit and vegetables are based on the strong interactions between modelling, engineering, physiology and commercial outcomes. In recent years, new progress in precooling has been achieved. These achievements include different cooling strategies, research into precooling mechanisms, and numerical simulations. This review aims to provide the most recent information about precooling and promote its application in the fruit and vegetable industry.
Different precooling strategies are evaluated with respect to the cooling rate, cooling uniformity, and multiscale simulation. An overview of mathematical modeling approaches used to quantitatively describe precooling processes for computer-aided designs is provided. The effect of precooling on fruit quality at the physiological and molecular levels is outlined.
Numerical simulations have become widely used to improve the precooling performance. Cooling homogeneity, in particular, has attracted increasing attention in recent studies because of the substantial effects of cooling homogeneity on the precooling efficiency and produce quality. The spatial scale of numerical simulations of the precooling process has started to become more precise and specific. Recent numerical simulations have focused on the bin and package scale. Models of transport processes at multiple spatial scales are investigated using multiscale modeling. Moreover, the effect of precooling on produce quality has recently received increasing attention. In addition, the investigation of the effect of precooling on fruit at the metabolomic and genomic levels has become an emerging trend and has provided deeper insights into the molecular mechanisms underlying the effect of precooling treatments on fruit.
•The latest advances in fruit precooling study are highlighted, especially since 2001.•Numerical simulation is widely used, especially to improve cooling homogeneity.•Spatial scale study of precooling is more specific, mainly for bin and package scale.•Effect on fruits at the metabolomics and genomic levels starts to be investigated.•Different precooling strategies were further investigated to obtain good quality.</abstract><cop>Cambridge</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.tifs.2020.04.027</doi><tpages>14</tpages></addata></record> |
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subjects | Computer simulation Cooling Cooling effects Cooling rate Fruit and vegetables Fruits Homogeneity Mathematical models Metabolomics Molecular modelling Multiscale analysis Numerical simulation Physiological effects Precooling Precooling technique Quality Simulation Transport processes Vegetables |
title | Postharvest precooling of fruit and vegetables: A review |
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