Accelerated aging by microwave heating and methods to distinguish aging of rice-Reference-Cited by-同舟云学术

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Accelerated aging by microwave heating and methods to distinguish aging of rice

Published:2020-03-06 Issue:6 Volume:43 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Devraj Lavanya¹^ORCID,Natarajan Venkatachalapathy¹^ORCID,Ramachandran Sinija Vadakkeppulpara²,Manicakam Loganathan³,Saravanan Shanmugasundaram⁴

Affiliation:

1. Department of Food EngineeringIndian Institute of Food Processing Technology Thanjavur India

2. Department of Food Business Incubation CentreIndian Institute of Food Processing Technology Thanjavur India

3. Department of Primary Processing, Storage and HandlingIndian Institute of Food Processing Technology Thanjavur India

4. Department of Planning and Monitoring CellIndian Institute of Food Processing Technology Thanjavur India

Funder

Council of Scientific and Industrial Research, Government of India

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13405

Reference28 articles.

1. Effects of microwave heat-moisture treatment on properties of waxy and non-waxy rice starches

2. Improved shelf life of brown rice by heat and microwave treatment

3. Evaluation of physicochemical properties of plasma treated brown rice

4. Analysing the freshness of intact rice grains by colour determination of peroxidase activity

5. Chemical and physicochemical changes of rice during storage at different temperatures

Cited by 6 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. Microwave heating in rice and its influence on quality and techno-functional parameters of rice compositional components;Journal of Food Composition and Analysis;2024-04

2. Identification of Suitable Complex Machine Learning Algorithms for Amylose Content Prediction in Rice with an IoT-based Colorimetric Sensor;Journal of Scientific & Industrial Research;2024-01

3. Near-Infrared spectroscopy combined with machine learning methods for distinguishment of the storage years of rice;Infrared Physics & Technology;2023-09

4. Performance of advanced machine learning models in the prediction of amylose content in rice using internet of things-based colorimetric sensor;CURR SCI INDIA;2023

5. Unsupervised modelling of rice aroma change during ageing based on electronic nose coupled with bio-inspired algorithms;Biosystems Engineering;2022-04

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