Qing Sun
Jiangnan University
18 Papers
9 Citations
Qing Sun is an academic researcher from Jiangnan University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 5, co-authored 8 publications. Previous affiliations of Qing Sun include Shandong Agricultural University.
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Papers
Recent developments of artificial intelligence in drying of fresh food: A review.
TL;DR: The AI application of modeling, predicting, and optimization of heat and mass transfer, thermodynamic performance parameters, and quality indicators as well as physiochemical properties of dried products in artificial biomimetic technology (electronic nose, computer vision) and different conventional drying technologies are summarized.
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Combination of LF-NMR and BP-ANN to monitor water states of typical fruits and vegetables during microwave vacuum drying.
Qing Sun,Min Zhang,Peiqiang Yang +2 more
TL;DR: In this article, the results of a combination of LF-NMR and BP-ANN were reported to monitor the relationship between drying parameters and state of water under different microwave vacuum drying conditions, and three kinds of materials, carrot (fruit), banana (vegetable), and pleurotus eryngii (edible fungus), were tested in the experiment of applicability.
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Extraction of functional extracts from berries and their high quality processing: a comprehensive review.
TL;DR: A critical overview of some novel extraction methods applicable to berries, including pressurized-liquid extraction, ultrasound assisted extraction, microwave-assisted extraction, supercritical fluid extraction, enzyme assisted extraction as well as some combined extraction methods is presented in this article .
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Development and validation of a novel short-form nutrition literacy measurement tool for Chinese college students
TL;DR: The NL-SF12 is an effective measurement tool with a good reliability and acceptable validity to assess comprehensively NL for college students, and is applicable to quick, widespread use in population study and practice with low respondent burden.
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