Pulsed electric fields processing of apple tissue: Spatial distribution of electroporation by means of magnetic resonance imaging and computer vision system-Reference-Cited by-同舟云学术

Pulsed electric fields processing of apple tissue: Spatial distribution of electroporation by means of magnetic resonance imaging and computer vision system

Published:2018-06 Issue: Volume:47 Page:120-126
ISSN:1466-8564
Container-title:Innovative Food Science & Emerging Technologies
language:en
Short-container-title:Innovative Food Science & Emerging Technologies

Author:

Dellarosa Nicolò,Laghi Luca^ORCID,Ragni Luigi,Dalla Rosa Marco,Galante Angelo,Ranieri Brigida,Florio Tiziana Marilena,Alecci Marcello

Funder

INNOFRUVE

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemistry,Food Science

Reference35 articles.

1. Determining iron content in foods by spectrophotometry;Adams;Journal of Chemical Education,1995

2. Current applications and new opportunities for the use of pulsed electric fields in food science and industry;Barba;Food Research International,2015

3. Technological development and functional properties of an apple snack rich in flavonoid from mandarin juice;Betoret;Innovative Food Science & Emerging Technologies,2012

4. Targeting CXCR1 on breast cancer stem cells: Signaling pathways and clinical application modelling;Brandolini;Oncotarget,2015

5. Magnetic Resonance Imaging: Physical Principles and Sequence Design;Brown,2014

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reversible electroporation caused by pulsed electric field – Opportunities and challenges for the food sector;Trends in Food Science & Technology;2023-09

2. PEF treatment effect on plant tissues of heterogeneous structure no longer an enigma: MRI insights beyond the naked eye;Food Chemistry;2023-03

3. Electrical Properties;Food Physics;2023

4. Characterization of a Novel Packaged Hydrogel Wound Dressing by 2.35 T Magnetic Resonance Imaging;Electronics;2022-12-30

5. Quantitative magnetic resonance imaging technology as an effective tool for monitoring post-harvest decay of Tuber aestivum ascomata;Postharvest Biology and Technology;2022-12