JOURNAL ARTICLE

Effect of static magnetic field assisted freezing on the product quality of Korla fragrant pear.

  • Published In: Journal of Food Process Engineering, 2023, v. 46, n. 10. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Jiangshan Qiao; Min Zhang; Zhongxiang Fang; Jian Fu 3 of 3

Abstract

Freezing is a good method of preserving the sensory and nutritional quality of fresh fruits and vegetables. However, big ice crystals always form in a common freezing process which causes mechanical damage to the fruit and vegetable cells and results in low-quality products. The external magnetic field can interfere with the state of the internal water, thus changing the ice crystal formation process accordingly. It was suggested that suitable magnetic field treatments can affect the biological characteristics of fruits and vegetables and improve the quality of the frozen products. In this experiment, Korla fragrant pear was freezing processed at the different static magnetic field (SMF) strengths (0, 2, 4, 6, 8, and 10 mT), and the pear quality was evaluated by juice loss, color, texture, total soluble solid content and total acid content, water state, and distribution. The results showed that the utilization of SMF in freezing reduced the loss of juice and soluble solids, and maintained the titratable acidity. However, SMFs performed poorly in color and texture protection. This research suggested that magnetic field-assisted freezing had some positive effects on the quality of frozen Korla fragrant pear, but more works need to be done to further improve the product quality. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Food Process Engineering. 2023/10, Vol. 46, Issue 10, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0145-8876
  • DOI:10.1111/jfpe.14404
  • Accession Number:174091572
  • Copyright Statement:Copyright of Journal of Food Process Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.