Magno Fonseca Santos, Solciaray Cardoso Soares Estefan de Paula, Lucas Martins da Silva, Antonio Manoel Maradini Filho, Sérgio Henriques Saraiva, Luciano José Quintão Teixeira
{"title":"离心块状冷冻浓缩生产麦芽浸膏操作参数的多重优化","authors":"Magno Fonseca Santos, Solciaray Cardoso Soares Estefan de Paula, Lucas Martins da Silva, Antonio Manoel Maradini Filho, Sérgio Henriques Saraiva, Luciano José Quintão Teixeira","doi":"10.1016/j.ifset.2023.103488","DOIUrl":null,"url":null,"abstract":"<div><p>This study aims to optimize light and dark malt extract production by centrifugal block freeze concentration (CBFC), considering simultaneous optimization of solids concentration (SC), concentration efficiency (CE), and concentrate percentage (CP) using a desirability function approach. Two cycles and one recycle of CBFC were evaluated for both malt extracts. A central composite rotational design was employed to predict the effects of freezing temperature (FT) and centrifugal time (t) on malt extract production. The desirability function approach was used for optimization. In scenarios with the highest optimization, operational parameters varied from −29.63 °C to −25.90 °C for FT and 7.00 min to 10.16 min for t. Optimized response values ranged from 2.99°Brix to 26.13°Brix for SC, 69.14% to 86.23% for CE, and 38.30% to 43.86% for CP. The results suggest that optimizing CBFC cycles hinges on liquid mixture properties, and diverse input parameters may be necessary for attaining optimal outcomes.</p></div>","PeriodicalId":329,"journal":{"name":"Innovative Food Science & Emerging Technologies","volume":"89 ","pages":"Article 103488"},"PeriodicalIF":6.3000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-optimization of operational parameters for malt extract production by centrifugal block freeze concentration\",\"authors\":\"Magno Fonseca Santos, Solciaray Cardoso Soares Estefan de Paula, Lucas Martins da Silva, Antonio Manoel Maradini Filho, Sérgio Henriques Saraiva, Luciano José Quintão Teixeira\",\"doi\":\"10.1016/j.ifset.2023.103488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study aims to optimize light and dark malt extract production by centrifugal block freeze concentration (CBFC), considering simultaneous optimization of solids concentration (SC), concentration efficiency (CE), and concentrate percentage (CP) using a desirability function approach. Two cycles and one recycle of CBFC were evaluated for both malt extracts. A central composite rotational design was employed to predict the effects of freezing temperature (FT) and centrifugal time (t) on malt extract production. The desirability function approach was used for optimization. In scenarios with the highest optimization, operational parameters varied from −29.63 °C to −25.90 °C for FT and 7.00 min to 10.16 min for t. Optimized response values ranged from 2.99°Brix to 26.13°Brix for SC, 69.14% to 86.23% for CE, and 38.30% to 43.86% for CP. The results suggest that optimizing CBFC cycles hinges on liquid mixture properties, and diverse input parameters may be necessary for attaining optimal outcomes.</p></div>\",\"PeriodicalId\":329,\"journal\":{\"name\":\"Innovative Food Science & Emerging Technologies\",\"volume\":\"89 \",\"pages\":\"Article 103488\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovative Food Science & Emerging Technologies\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1466856423002229\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovative Food Science & Emerging Technologies","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1466856423002229","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}
Multi-optimization of operational parameters for malt extract production by centrifugal block freeze concentration
This study aims to optimize light and dark malt extract production by centrifugal block freeze concentration (CBFC), considering simultaneous optimization of solids concentration (SC), concentration efficiency (CE), and concentrate percentage (CP) using a desirability function approach. Two cycles and one recycle of CBFC were evaluated for both malt extracts. A central composite rotational design was employed to predict the effects of freezing temperature (FT) and centrifugal time (t) on malt extract production. The desirability function approach was used for optimization. In scenarios with the highest optimization, operational parameters varied from −29.63 °C to −25.90 °C for FT and 7.00 min to 10.16 min for t. Optimized response values ranged from 2.99°Brix to 26.13°Brix for SC, 69.14% to 86.23% for CE, and 38.30% to 43.86% for CP. The results suggest that optimizing CBFC cycles hinges on liquid mixture properties, and diverse input parameters may be necessary for attaining optimal outcomes.
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.