Area of research
Analytical Chemistry · Biochemistry
Research interest
Research interests include Hyperspectral imaging, Chemistry, Food science, Materials science, PEAR, and Titratable acid.
Prediction of quality traits in packaged mango by NIR spectroscopy
Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks
Exploring the optical response of water status and light propagation in bruised ‘Korla’ fragrant pear tissues based on low-field nuclear magnetic resonance coupled with Monte Carlo simulation
Non-destructive prediction of the moisture content of individual wheat kernels combining hyperspectral imaging and WGAN data augmentation algorithm
Discrimination of unsound soybeans using hyperspectral imaging: A deep learning method based on dual-channel feature fusion strategy and attention mechanism
AI-empowered spectroscopic gas sensing towards real-time food system monitoring and predictive quality control
Interactions between proteins and polyphenols in plant-based food: Insight of allergenicity and off-flavor reduction
Investigation of the composition and antioxidant properties of phenolic compounds from barley seedlings germinated under salt stress
Deep learning combined Monte Carlo simulation reveal the fundamental light propagation in apple puree: Monitoring the quality changes from different cultivar, storage period and heating duration
An Aptamer Sensor Based on Alendronic Acid-Modified Upconversion Nanoparticles Combined with Magnetic Separation for Rapid and Sensitive Detection of Thiamethoxam
Comparative Analysis of Chilling Injury in Banana Fruit During Storage: Physicochemical and Microstructural Changes, and Early Optical-Based Nondestructive Identification
Infrared spectroscopy combined with deep learning to describe the textural properties of cooked rice from raw materials: revealing spectral variations and internal correlations during processing
Visualizing the structural and chemical heterogeneity of fruit and vegetables using advanced imaging techniques: fundamentals, instrumental aspects, applications and future perspectives
Comparing visible and near infrared ‘point’ spectroscopy and hyperspectral imaging techniques to visualize the variability of apple firmness
Optical properties related to cell wall pectin contribute to determine the firmness and microstructural changes during apple softening
Evaluating the microstructure and physicochemical properties of ‘Korla’ fragrant pear disease caused by Alternaria alternata: Vis-NIR hyperspectral microscope imaging coupled with convolutional neural network
Maillard reaction products of hydrolyzed Copyinds comatus protein with various sugar-amino acid combinations: Focusing on their meaty aroma notes and salt reduction abilities
Exploring the impact of co-extracted cell wall polysaccharides on the stability of blueberry anthocyanins in deep eutectic solvent
New insights into the relationship between optical response and physicochemical properties in apple flesh: Hyperspectral microscope imaging technology
Infrared guided smart food formulation: an innovative spectral reconstruction strategy to develop anticipated and constant apple puree products
Assessment of optical properties and Monte-Carlo based simulation of light propagation in citrus infected by Penicillium italicum
Advances in Vibrational Spectroscopic Techniques for the Detection of Bio-Active Compounds in Virgin Olive Oils: A Comprehensive Review
Effects of Changes in Pectin Constitution on Optical Properties and Firmness of Peach Flesh during Storage
Rheological modelling of apple puree based on machine learning combined Monte Carlo simulation: Insight into the fundamental light- particle structure interaction processes
Storage Properties and Shelf-Life Prediction of Fresh-Cut Radishes Treated by Photodynamic Technology
Quality-Driven Design of Pandan-Flavored Sponge Cake: Unraveling the Role of Thermal Processing on Typical Pandan Aroma
Structured-illumination reflectance imaging for the evaluation of microorganism contamination in pork: effects of spectral and imaging features on its prediction performance
Exploring the limit of detection on early implicit bruised ‘Korla’ fragrant pears using hyperspectral imaging features and spectral variables
Non-invasive prediction of mango quality using near-infrared spectroscopy: Assessment on spectral interferences of different packaging materials
Study on Black Spot Disease Detection and Pathogenic Process Visualization on Winter Jujubes Using Hyperspectral Imaging System