A5100405035- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Spectroscopy Techniques in Biomedical and Chemical Research
- Water Quality Monitoring and Analysis
- Remote Sensing and Land Use
- High-Energy Particle Collisions Research
- Phytochemicals and Antioxidant Activities
- Remote Sensing in Agriculture
- Tea Polyphenols and Effects
- Essential Oils and Antimicrobial Activity
- Meat and Animal Product Quality
- Advanced Photocatalysis Techniques
- Algal biology and biofuel production
- Advanced Algorithms and Applications
- Identification and Quantification in Food
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- Cancer-related molecular mechanisms research
- Plant Pathogens and Fungal Diseases
- X-ray Spectroscopy and Fluorescence Analysis
- Polysaccharides and Plant Cell Walls
- DNA Repair Mechanisms
- Electrochemical Analysis and Applications
Chinese Academy of Fishery Sciences
2008-2025
Ministry of Agriculture and Rural Affairs
2012-2025
Zhejiang University
2016-2025
Fujian Agriculture and Forestry University
2013-2025
Guangzhou Women and Children Medical Center
2024-2025
West Anhui University
2021-2025
Anhui University of Traditional Chinese Medicine
2021-2025
Shandong University
2013-2025
Liaoning Academy of Agricultural Sciences
2023-2025
Yuxi Normal University
2025
Abstract The contents of hemicellulose, cellulose and lignin are important for moso bamboo processing in biomass energy industry. feasibility using near infrared (NIR) spectroscopy rapid determination was investigated this study. Initially, the linear relationship between components their NIR established. Subsequently, successive projections algorithm (SPA) used to detect characteristic wavelengths establishing convenient models. For lignin, 22, 22 20 were obtained, respectively. Nonlinear...
Abstract This study investigated the potential of using hyperspectral imaging for detecting different diseases on tomato leaves. One hundred and twenty healthy, one early blight seventy late diseased leaves were selected to obtain images covering spectral wavelengths from 380 1023 nm. An extreme learning machine (ELM) classifier model was established based full wavelengths. Successive projections algorithm (SPA) used identify most important Based five (442, 508, 573, 696 715 nm), an ELM...
Hyperspectral imaging in the visible and near infrared (VIS-NIR) region was used to develop a novel method for discriminating different varieties of commodity maize seeds. Firstly, hyperspectral images 330 samples six seeds were acquired using system 380-1,030 nm wavelength range. Secondly, principal component analysis (PCA) kernel (KPCA) explore internal structure spectral data. Thirdly, three optimal wavelengths (523, 579 863 nm) selected by implementing PCA directly on each image. Then...
Due to the increasing demands of energy and depletion fossil fuel, bamboo is considered be one most important renewable biological resources on basis its advantages rapid growth ability rich reserves. Cellulose, hemicellulose, lignin are three constituents in moso bamboo. Their concentrations and, especially, their microscopic distributions greatly affect utilization efficiency other physical properties as a biomass resource. However, no studies have achieved quantitative visualization...
Abstract Hyperspectral imaging technique was employed to determine spatial distributions of chlorophyll ( Chl ) and carotenoid Car contents in cucumber leaves response angular leaf spot (ALS). Altogether, 196 hyperspectral images with five infection severities ALS were captured by a system the range 380–1,030 nm covering 512 wavebands. Mean spectrum extracted from regions interest (ROIs) images. Partial least square regression (PLSR) models used develop quantitative analysis between spectra...
A wound dressing which can be convenient for real-time monitoring of wounds is particularly attractive and user-friendly. In this study, a nature-originated silk-sericin-based (SS-based) transparent hydrogel scaffold was prepared evaluated the visualization care. The fabricated from hybrid interpenetrating-network (IPN) composed SS methacrylic-anhydride-modified gelatin (GelMA) by 3D printing. transformed into highly upon swelling in PBS, thus, anything underneath could easily read. had high...
The enhanced charge separation and molecule activation at the Pd–BiOBr interface greatly promote photocatalytic selective oxidation of toluene to benzaldehyde.
Visible/near-infrared (Vis/NIR) hyperspectral imaging was employed to determine the spatial distribution of total nitrogen in pepper plant. Hyperspectral images samples (leaves, stems, and roots plants) were acquired their contents (TNCs) measured using Dumas combustion method. Mean spectra all extracted from regions interest (ROIs) images. Random frog (RF) algorithm implemented select important wavelengths which carried effective information for predicting TNCs leaf, stem, root, whole-plant...
Blast is one of the most devastating fungal diseases rice caused by Magnaporthe oryzae. Plant essential oil (EO) can function as antifungal agents and are regarded a safe acceptable method for plant disease control. However, EOs unstable hydrophobic, which limits its use. In present study, we aimed preparation characterization nanoemulsion (NE) from green tea (GTO) ultrasonication determined activity NE on M. The particle size zeta potential were 86.98 nm −15.1 mV, respectively. chemical...
Abstract Background Photosynthetic pigments participating in the absorption, transformation and transfer of light energy play a very important role plant growth. While, spatial distribution foliar is an indicator environmental stress, such as pests, diseases heavy metal stress. Results In this paper, situ quantitative visualization chlorophyll carotenoid was realized by combining Raman spectroscopy with calibration model transfer, laboratory spectral successfully extended to portable field...