M Khanlar, G A Collazos-Escobar, V Sánchez-Jiménez, J A Cárcel
{"title":"Multivariate statistical optimization of the ultrasonic-assisted extraction of diamine oxidase (DAO) from pea sprout.","authors":"M Khanlar, G A Collazos-Escobar, V Sánchez-Jiménez, J A Cárcel","doi":"10.1016/j.ultsonch.2025.107588","DOIUrl":null,"url":null,"abstract":"<p><p>Pea sprouts can provide a plant-based alternative to the commonly used pork kidney as a source of diamine oxidase (DAO), an enzyme used as a dietary supplement to prevent symptoms of histamine intolerance. This study assessed the influence of process variables on the ultrasonic-assisted extraction of DAO from pea sprouts. DAO activity (DAO<sub>ac</sub>), protein content (PC), and their ratio (DAO<sub>sac</sub>) were measured on extracts obtained at different times (10, 20, 30, 40 min), temperatures (10, 20, 37 °C), and acoustic pressures (0, 29, 75 kPa). Response surface methodology (RSM) and multivariate regression models were applied to identify the optimal conditions and predictive multivariate models were assessed to develop a process control tool. Ultrasound application significantly enhanced DAO extraction, increasing DAO<sub>ac</sub>, PC, and DAO<sub>sac</sub> by up to 34.4, 14.9, and 19.4 % compared to conventional methods. The application of a moderate acoustic pressure (29 kPa) maximized yields, while a higher one (75 kPa) reduced extraction time. The moderate optimal temperature identified, 23.0 ± 0.3 °C, represents a clear advantage for the process scaling-up. The Support Vector Machine (SVM) model showed the best predictive performance (adjusted coefficient of determination; R<sup>2</sup><sub>adj</sub> > 92 % and mean relative error; MRE < 4 %), accurately estimating dependent variables based on process conditions. Therefore, this model could support the implementation of a closed-loop control strategy, dynamically adjusting operational parameters to maintain the extraction process under optimal conditions.</p>","PeriodicalId":442,"journal":{"name":"Ultrasonics Sonochemistry","volume":"122 ","pages":"107588"},"PeriodicalIF":9.7000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ultrasonics Sonochemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.ultsonch.2025.107588","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Pea sprouts can provide a plant-based alternative to the commonly used pork kidney as a source of diamine oxidase (DAO), an enzyme used as a dietary supplement to prevent symptoms of histamine intolerance. This study assessed the influence of process variables on the ultrasonic-assisted extraction of DAO from pea sprouts. DAO activity (DAOac), protein content (PC), and their ratio (DAOsac) were measured on extracts obtained at different times (10, 20, 30, 40 min), temperatures (10, 20, 37 °C), and acoustic pressures (0, 29, 75 kPa). Response surface methodology (RSM) and multivariate regression models were applied to identify the optimal conditions and predictive multivariate models were assessed to develop a process control tool. Ultrasound application significantly enhanced DAO extraction, increasing DAOac, PC, and DAOsac by up to 34.4, 14.9, and 19.4 % compared to conventional methods. The application of a moderate acoustic pressure (29 kPa) maximized yields, while a higher one (75 kPa) reduced extraction time. The moderate optimal temperature identified, 23.0 ± 0.3 °C, represents a clear advantage for the process scaling-up. The Support Vector Machine (SVM) model showed the best predictive performance (adjusted coefficient of determination; R2adj > 92 % and mean relative error; MRE < 4 %), accurately estimating dependent variables based on process conditions. Therefore, this model could support the implementation of a closed-loop control strategy, dynamically adjusting operational parameters to maintain the extraction process under optimal conditions.
期刊介绍:
Ultrasonics Sonochemistry stands as a premier international journal dedicated to the publication of high-quality research articles primarily focusing on chemical reactions and reactors induced by ultrasonic waves, known as sonochemistry. Beyond chemical reactions, the journal also welcomes contributions related to cavitation-induced events and processing, including sonoluminescence, and the transformation of materials on chemical, physical, and biological levels.
Since its inception in 1994, Ultrasonics Sonochemistry has consistently maintained a top ranking in the "Acoustics" category, reflecting its esteemed reputation in the field. The journal publishes exceptional papers covering various areas of ultrasonics and sonochemistry. Its contributions are highly regarded by both academia and industry stakeholders, demonstrating its relevance and impact in advancing research and innovation.