Thermosonication as pretreatment for improving drying kinetics of black grape: An optimization study

IF 6.8 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Innovative Food Science & Emerging Technologies Pub Date : 2025-03-21 DOI:10.1016/j.ifset.2025.104007
Erdal Ağçam, Burcu Dündar Kirit, Asiye Akyildiz
{"title":"Thermosonication as pretreatment for improving drying kinetics of black grape: An optimization study","authors":"Erdal Ağçam,&nbsp;Burcu Dündar Kirit,&nbsp;Asiye Akyildiz","doi":"10.1016/j.ifset.2025.104007","DOIUrl":null,"url":null,"abstract":"<div><div>In the present study, the thermosonication pre-treatment conditions were optimized using response surface methodology to improve the drying kinetics of the black grapes. The drying performance outputs of the optimum thermosonication conditions and potash solution were also compared for the first time. The quadratic model is the best mathematical model to predict the effect of thermosonication conditions on the drying rate, total monomeric anthocyanin-(TMAC), and total phenolic-(TPC) contents of the grape samples. Based on the goals and limitations of the studied variables (ultrasound energy density-UED, temperature, TPC, TMAC, and drying rate), the optimum thermosonication conditions were calculated as 743.1 J/g UED and 16.6 °C. The validation study findings indicated that the mathematical model of drying rate, TMAC, and TPC can be used in the prediction due to low relative error values (5.6–7.0 %). The optimum ultrasound pre-treatment reduced 32 % the drying time compared to the untreated samples. The water diffusion coefficient-(<em>D</em><sub><em>eff</em></sub>) was calculated as 0.589 × 10<sup>−10</sup>, 0.891 × 10<sup>−10</sup>, and 1.404 × 10<sup>−10</sup> m<sup>2</sup>/s for the untreated, pre-treated with the optimum ultrasound conditions and potash solution, respectively. These results highlighted that thermosonication can reduce drying time of grapes, operational cost, and environmental pollution, which reveals the potential application of ultrasound technology instead of the chemical potash treatment.</div></div>","PeriodicalId":329,"journal":{"name":"Innovative Food Science & Emerging Technologies","volume":"102 ","pages":"Article 104007"},"PeriodicalIF":6.8000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovative Food Science & Emerging Technologies","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1466856425000918","RegionNum":1,"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

In the present study, the thermosonication pre-treatment conditions were optimized using response surface methodology to improve the drying kinetics of the black grapes. The drying performance outputs of the optimum thermosonication conditions and potash solution were also compared for the first time. The quadratic model is the best mathematical model to predict the effect of thermosonication conditions on the drying rate, total monomeric anthocyanin-(TMAC), and total phenolic-(TPC) contents of the grape samples. Based on the goals and limitations of the studied variables (ultrasound energy density-UED, temperature, TPC, TMAC, and drying rate), the optimum thermosonication conditions were calculated as 743.1 J/g UED and 16.6 °C. The validation study findings indicated that the mathematical model of drying rate, TMAC, and TPC can be used in the prediction due to low relative error values (5.6–7.0 %). The optimum ultrasound pre-treatment reduced 32 % the drying time compared to the untreated samples. The water diffusion coefficient-(Deff) was calculated as 0.589 × 10−10, 0.891 × 10−10, and 1.404 × 10−10 m2/s for the untreated, pre-treated with the optimum ultrasound conditions and potash solution, respectively. These results highlighted that thermosonication can reduce drying time of grapes, operational cost, and environmental pollution, which reveals the potential application of ultrasound technology instead of the chemical potash treatment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
热超声预处理改善黑葡萄干燥动力学的优化研究
本研究采用响应面法优化热超声预处理条件,以提高黑葡萄的干燥动力学。并首次比较了最佳热超声条件和钾肥溶液的干燥性能。二次元模型是预测热超声条件对葡萄干燥速率、总单体花青素-(TMAC)和总酚-(TPC)含量影响的最佳数学模型。根据研究变量(超声能量密度-UED、温度、TPC、TMAC和干燥速率)的目标和局限性,计算出最佳热超声条件为743.1 J/g UED和16.6°C。验证研究结果表明,干燥速率、TMAC和TPC的数学模型相对误差值较低(5.6% ~ 7.0%),可用于预测。与未处理的样品相比,最佳超声预处理减少了32%的干燥时间。经计算,最佳超声条件下未处理、预处理和钾肥溶液下的水扩散系数分别为0.589 × 10−10、0.891 × 10−10和1.404 × 10−10 m2/s。这些结果表明,热超声处理可以缩短葡萄的干燥时间,降低操作成本,减少环境污染,揭示了超声技术替代化学钾肥处理的潜在应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
12.00
自引率
6.10%
发文量
259
审稿时长
25 days
期刊介绍: Innovative Food Science and Emerging Technologies (IFSET) aims to provide the highest quality original contributions and few, mainly upon invitation, reviews on and highly innovative developments in food science and emerging food process technologies. The significance of the results either for the science community or for industrial R&D groups must be specified. Papers submitted must be of highest scientific quality and only those advancing current scientific knowledge and understanding or with technical relevance will be considered.
期刊最新文献
Mechanistic insights into the modification of peanut protein by novel radio frequency roasting: Revealing multi-scale protein conformational changes Phase separation behavior of ovalbumin-chitosan: Application for the development of Janus-type fruit preservation coatings Mitigating Cronobacter sakazakii safety risks associated with non-uniform reconstitution of infant formula using silica-immobilized phenolic compounds In vitro protein digestibility and protein quality assessment of novel brewers' spent grain protein isolates Optimization of ultrasound-assisted dehulling for quinoa and comparison with conventional methods: Dehulling performance and physicochemical characterization
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1