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Leiqing Pan
Professor
Supervisor of Doctorate Candidates
School/Department: College of Food Science & Technology
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
Professional Title:
Professor
Alma Mater:
南京农业大学
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Paper Publications
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Paper Publications
邢梦珂,孙柯,刘强,潘磊庆,屠康.Development of Novel Electronic Nose Applied for Strawberry Freshness Detection during Storage,INTERNATIONAL JOURNAL OF FOOD ENGINEERING,2018,14(43289):-(Participating authors)
彭菁,汪也,陈国雄,潘磊庆,屠康.Morphological and Physicochemical Properties of Very Small Granules Starch from Agriophyllum squarrosum (L.) Moq. in Comparison with Maize Starch,STARCH-STARKE,2018,70(43163):-(Participating authors)
Classification and Discrimination of Different Fungal Diseases of Three Infection Levels on Peaches Using Hyperspectral Reflectance Imaging Analysis,SENSORS,2018,18(4):-(Participating authors)
潘磊庆,魏康丽,曹念念,孙柯,刘强,屠康,朱启兵.果蔬光学参数测量及其在品质检测方面的研究进展,南京农业大学学报,2018,41(1):26-37(First and corresponding author)
杨宏伟,郝炯驹,刘玉洁,宋大杰,牛青霞,潘磊庆,徐志刚.Study of a Photonic Crystal Sensor for Detection of Solution Concentration,JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS,2018,13(1):111-118(Participating authors)
顾欣哲,孙晔,屠康,潘磊庆.Evaluation of lipid oxidation of Chinese-style sausage during processing and storage based on electronic nose,MEAT SCIENCE,2017,133(0):1-9(Correspondence Author)
姚亚明,赵楠,鲜婷婷,Tu Sicong,潘磊庆,屠康.Effect of 2,4-epibrassinolide treatment on the postharvest quality and physiological metabolism of fresh daylily flower buds during storage,SCIENTIA HORTICULTURAE,2017,226(0):110-116(Participating authors)
肖慧,孙柯,孙晔,魏康丽,屠康,潘磊庆.Comparison of Benchtop Fourier-Transform (FT) and Portable Grating Scanning Spectrometers for Determination of Total Soluble Solid Contents in Single Grape Berry (Vitis vinifera L.) and Calibration Transfer,SENSORS,2017,17(11):-(Correspondence Author)
马龙,孙柯,屠康,潘磊庆,张伟.Identification of double-yolked duck egg using computer vision,PLOS ONE,2017,12(12):-(Participating authors)
孙柯,李英,彭菁,屠康,潘磊庆.Surface Gloss Evaluation of Apples Based on Computer Vision and Support Vector Machine Method,FOOD ANALYTICAL METHODS,2017,10(8):2800-2806(Correspondence Author)
total267 17/27
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