A5100784898- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Water Quality Monitoring and Analysis
- Mycotoxins in Agriculture and Food
- Meat and Animal Product Quality
- Analytical Chemistry and Chromatography
- Pesticide Residue Analysis and Safety
- Proteins in Food Systems
- Fault Detection and Control Systems
- Oxidative Organic Chemistry Reactions
- Electrochemical Analysis and Applications
- Edible Oils Quality and Analysis
- Protein Hydrolysis and Bioactive Peptides
- Insect Pheromone Research and Control
- Catalytic C–H Functionalization Methods
- Olfactory and Sensory Function Studies
- Identification and Quantification in Food
- Gas Sensing Nanomaterials and Sensors
- Chemical Synthesis and Reactions
- Thermodynamic properties of mixtures
- Microbial Inactivation Methods
- Advanced Algorithms and Applications
- Recommender Systems and Techniques
- Mineral Processing and Grinding
Jiangsu University
2015-2025
China Agricultural University
2023
Tarim University
2021
Chongqing Jiaotong University
2020
Dalian Polytechnic University
2019-2020
Grace (United States)
2019
China University of Petroleum, East China
2018
China Pharmaceutical University
2016
University of South China
2013
Nanjing University of Science and Technology
2011-2012
In this paper, we propose a method for classifying tea quality levels based on near-infrared spectroscopy. Firstly, the absorbance spectra of Huangshan Maofeng samples were obtained in wavenumber range 10,000~4000 cm-1 using The spectral data then converted to transmittance and smoothed Savitzky-Golay (SG) algorithm. denoised dimensionally reduced principal component analysis (PCA). characteristic variables PCA used as input level was output establish support vector machine (SVM)...
Wheat is a vital global cereal crop, but its susceptibility to contamination by mycotoxins can render it unusable. This study explored the integration of two novel non-destructive detection methodologies with convolutional neural network (CNN) for identification zearalenone (ZEN) in wheat. Firstly, colorimetric sensor array composed six selected porphyrin-based materials was used capture olfactory signatures wheat samples. Subsequently, array, after undergoing reaction, characterized...
Aflatoxin B1 (AFB1) is an important cause of human liver cancer. This study proposes a quantitative detection method for the AFB1 in corn based on Fourier transform near-infrared (FT-NIR) spectroscopy technology. First, we acquired spectral data samples with different degrees mildew using FT-NIR spectrometer; then, used ant colony optimization (ACO) and NSGA-Ⅱ algorithms to optimize characteristic wavelengths spectra after SNV treatment respectively; Finally, back propagation neural network...
This work provides a novel approach to monitor the aflatoxin B1 (AFB1) content in maize by near-infrared (NIR) spectra-based deep learning models that integrates Markov transition field (MTF) image coding and convolutional neural network (CNN) strategy. According data structure characteristics of spectra, new structures one-dimensional CNN (1D-CNN) two-dimensional MTF-CNN (2D-MTF-CNN) were designed construct model for monitoring AFB1 maize. The results obtained showed compared with 1D-CNN...
The effects of high hydrostatic pressure (HHP) treatment and in vitro simulated infant digestion on the antigenicity whey protein concentrate (WPC) were investigated. results revealed that greatest decline allergenicity was observed at 500 MPa for 10 min, which 76.19% ± 1.45%. HHP (500 MPa/10 min) contributed to WPC structure stretched as β-sheet content increased from 18.45% 0.32%–20.93% 0.59% (p < 0.05). Fluorescence spectroscopy indicated fluorescence intensity 4.649 × 106 5.205 with time...
This work applied the FT-NIR spectroscopy technique with aid of chemometrics algorithms to determine adulteration content extra virgin olive oil (EVOO). Informative spectral wavenumbers were obtained by use a novel variable selection algorithm bootstrapping soft shrinkage (BOSS) during partial least-squares (PLS) modeling. Then, PLS model was finally constructed using best subset BOSS quantitative doping concentrations in EVOO. The results showed that optimal including 15 selected...
The effect of dual-frequency ultrasound treatment with different working modes on the lysinoalanine (LAL) formation and structural characterization rice dreg protein isolates (RDPI) was studied during alkaline exaction processing. Ultrasonic notably decreased LAL amount RDPI enhanced dissolution rate. content RDPI, especially sequential dual frequency 20/40 kHz, by 12.02% (P < 0.05), compared to non-sonicated samples. Herein, rate higher. changes in sulfhydryl groups positively correlated...