{"title":"Thermosonication as pretreatment for improving drying kinetics of black grape: An optimization study","authors":"Erdal Ağçam, Burcu Dündar Kirit, 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.
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.