Suitability of low‐field nuclear magnetic resonance (LF‐NMR) combining with back propagation artificial neural network (BP‐ANN) to predict printability of polysaccharide hydrogels 3D printing-Reference-Cited by-同舟云学术

Suitability of low‐field nuclear magnetic resonance (LF‐NMR) combining with back propagation artificial neural network (BP‐ANN) to predict printability of polysaccharide hydrogels 3D printing

Published:2020-11-06 Issue:5 Volume:56 Page:2264-2272
ISSN:0950-5423
Container-title:International Journal of Food Science & Technology
language:en
Short-container-title:Int. J. Food Sci. Technol.

Author:

Guo Chaofan¹,Zhang Min¹²^ORCID,Chen Huizhi¹³

Affiliation:

1. State Key Laboratory of Food Science and Technology Jiangnan University No. 1800, Lihu Avenue Wuxi Jiangsu214122China

2. Jiangsu Province Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University No. 1800, Lihu Avenue Wuxi Jiangsu214122China

3. International Joint Laboratory on Food Safety Jiangnan University No. 1800, Lihu Avenue Wuxi Jiangsu214122China

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijfs.14844

Reference33 articles.

1. Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review

2. Effect of okra gum on the pasting, thermal, and viscous properties of rice and sorghum starches

3. Enhancement of freezing stability in mashed potatoes by the incorporation of kappa-carrageenan and xanthan gum blends

4. Rapid, accurate, and simultaneous measurement of water and oil contents in the fried starchy system using low-field NMR

5. Novel Intelligent Detection of Safer Water Activity by LF-NMR Spectra for Selected Fruits and Vegetables during Drying

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