A5080305324- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Pesticide Residue Analysis and Safety
- Traditional Chinese Medicine Analysis
- Metabolomics and Mass Spectrometry Studies
- Water Quality Monitoring and Analysis
- Photosynthetic Processes and Mechanisms
- Analytical Chemistry and Chromatography
- Essential Oils and Antimicrobial Activity
- Phytochemicals and Antioxidant Activities
- Flavonoids in Medical Research
- Biochemical and biochemical processes
- Insect and Pesticide Research
- Gold and Silver Nanoparticles Synthesis and Applications
- Leaf Properties and Growth Measurement
- Mass Spectrometry Techniques and Applications
- Saffron Plant Research Studies
- Advanced Nanomaterials in Catalysis
- Salmonella and Campylobacter epidemiology
- Fermentation and Sensory Analysis
- Traditional Chinese Medicine Studies
- Ginseng Biological Effects and Applications
- Smart Agriculture and AI
- Bee Products Chemical Analysis
- Remote Sensing and LiDAR Applications
Hangzhou City University
2024
Zhejiang University
2016-2023
City College
2023
Ministry of Agriculture and Rural Affairs
2019
Linyi University
2017
Zhe jiang Research Institute of Traditional Chinese Medicine (China)
2013-2016
Hangzhou Academy of Agricultural Sciences
2016
University of Nottingham Ningbo China
2007
Hyperspectral imaging (HSI) technology has increasingly been applied as an analytical tool in fields of agricultural, food, and Traditional Chinese Medicine over the past few years. The HSI spectrum a sample is typically achieved by spectroradiometer at hundreds wavelengths. In recent years, considerable effort made towards identifying wavelengths (variables) that contribute useful information. Wavelengths selection critical step data analysis for Raman, NIRS, or spectroscopy. this study,...
This paper is conducted to identify the authenticity, quality, and origin of saffron using hyperspectral imaging multivariate spectral analysis. Reflectance spectra were extracted from images saffron. Successive projections algorithm, genetic uninformative variable elimination, competitive adaptive reweighted sampling used select characteristic wavelengths. Back propagation neural network model was established based on selected Results showed that combining with back achieved best...
A novel method for the rapid determination of chrysin and galangin in Chinese propolis poplar origin by means visible near infrared spectroscopy (Vis-NIR) was developed. Spectral data 114 samples were acquired 325 to 1,075 nm wavelength range using a Vis-NIR spectroradiometer. The reference values determined high performance liquid chromatography (HPLC). Partial least squares (PLS) models established spectra analyzed different preprocessing methods. effective wavelengths selected successive...
The feasibility of near-infrared spectroscopy (NIR) to detect chlorogenic acid, luteoloside and 3,5-O-dicaffeoylquinic acid in Chrysanthemum was investigated. An NIR spectroradiometer applied for data acquisition. reference values luteoloside, the samples were determined by high-performance liquid chromatography (HPLC) used model calibration. results six preprocessing methods compared. To reduce input variables collinearity problems, three variable selection compared, including successive...
With the increase in demand, artificially planting Chinese medicinal materials (CHMs) has also increased, and ensuing pesticide residue problems have attracted more attention. An optimized quick, easy, cheap, effective, rugged safe (QuEChERS) method with multi-walled carbon nanotubes as dispersive solid-phase extraction sorbents coupled surface-enhanced Raman spectroscopy (SERS) was first proposed for detection of deltamethrin complex matrix Corydalis yanhusuo. Our results demonstrate that...
The determination of SSC and pH in grapes could be well performed on the basis RGB color features.
Surface-enhanced Raman scattering (SERS) technology has unique advantages in the rapid detection of pesticides plant-derived foods, leading to reduced limits and increased accuracy. Plant-derived Chinese herbal medicines have similar sources foods; however, due rough surfaces complex compositions medicines, pesticide residues this context continues rely heavily on traditional methods, which are time consuming laborious unable meet market demands for portability. The application flexible...
Abstract Introduction Standardizing the planting process is an effective way to control quality stability of herbal resources, which are susceptible external environmental factors (e.g., moisture, soil, etc.). However, how scientifically and comprehensively assess effects standardized on plant quickly test unknown samples has not been addressed. Objective The aim this study was determine compare metabolite levels herbs before after planting, distinguish their sources, evaluate quality, using...
Fentanyl is a potent opioid analgesic with high bioavailability. It the leading cause of drug addiction and overdose death. To better control abuse fentanyl its derivatives, it crucial to develop rapid sensitive detection methods. However, fentanyl-related substrates undergo similar molecular structures resulting in properties, which are difficult be identified by conventional spectroscopic In this work, method for automatic identification 8 substances spectral characteristics was developed...
Standardizing the planting process is an effective way to control quality stability of plant resource with food/pharmaceutical uses, which are susceptible external environmental factors (e. g. moisture, soil, etc.). However, how scientifically and comprehensively assess effects standardized on quickly determine unknown samples has not been addressed. In this study, efficient strategy using UHPLC-ESI-Q-TOF-MS based metabolomics combined extreme learning machine developed for distinguishing...