A5100360378- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Dye analysis and toxicity
- Advanced biosensing and bioanalysis techniques
- Meat and Animal Product Quality
- Identification and Quantification in Food
- Lung Cancer Treatments and Mutations
- Analytical chemistry methods development
- Biochemical Analysis and Sensing Techniques
- Colorectal Cancer Treatments and Studies
- Advanced Statistical Methods and Models
- Biosensors and Analytical Detection
- Water Quality Monitoring and Analysis
- Melamine detection and toxicity
- Transcranial Magnetic Stimulation Studies
- Cell Image Analysis Techniques
- Tea Polyphenols and Effects
- Mercury impact and mitigation studies
- Alzheimer's disease research and treatments
- Smart Agriculture and AI
- Endoplasmic Reticulum Stress and Disease
- Radiative Heat Transfer Studies
- Carbon and Quantum Dots Applications
- Sirtuins and Resveratrol in Medicine
- Lung Cancer Research Studies
Shandong Agricultural University
2022-2025
Liaocheng University
2024
Southern Medical University
2015-2024
Northeast Agricultural University
2023-2024
Zhujiang Hospital
2023-2024
Shihezi University
2023
Wuyi University
2023
Nanfang Hospital
2022
Anhui University of Technology
2022
Tobacco Research Institute
2022
Monitoring and identifying the freshness levels of meat holds significant importance in field food safety as it directly relates to human dietary safety. Traditional packaging methods for lamb quality assessment present issues such cumbersome operations irreversible damage. This research proposes a method modified atmosphere using near-infrared spectroscopy multi-parameter fusion. Fresh is taken subject, comparing various physicochemical indicators spectroscopic information under different...
Abstract Background Alzheimer's disease is one common type of dementia. Numerous studies have suggested a correlation between and inflammation. Microglia mainly participate in the inflammatory response brain. Currently, ample evidence has shown that microglia are closely related to occurrence development disease. Objective We opted for bibliometric analysis comprehensively summarize advancements study disease, aiming provide researchers with current trends future research directions. Methods...
Magnesium (Mg) is one of the essential elements for growth tea tree and extremely important its development. In this study, we investigated effect Mg on transcriptome physicochemical indexes leaves, results showed that could significantly affect gene expression leaves. The Orthogonal Partial Least-Squares Discriminant Analysis (OPLS-DA) model analysis a total 300 key genes (Variable Importance Projection, VIP > 1) were screened under different concentrations treatment, among which 140...
At present, pesticides are widely used in the cultivation of crops. Glyphosate is many pesticides. ingestion can cause a series health problems. Therefore, this paper proposes to use localized surface plasmon resonance (LSPR) technology develop WaveFlex biosensor (plasma wave-based optical fiber sensor) detect glyphosate concentration The evanescent field improved by using fusion seven-core and single-mode tapering sensing area improve performance. gold nanoparticles (AuNPs) excite LSPR...
Lead is a heavy metal with increasing public health concerns on its accumulation in the food chain and environment. Immunoassays for quantitative measurement of environmental metals offer numerous advantages over other traditional methods. ELISA chemiluminescent enzyme immunoassay (CLEIA), based mAb we generated, were developed detection lead (II). In total, 50% inhibitory concentrations (IC50) (II) 9.4 ng/mL (ELISA) 1.4 (CLEIA); limits (LOD) 0.7 (ic-ELISA) 0.1 (ic-CLEIA), respectively....
Metal-organic frameworks (MOFs) with systematically tailored structures have been suggested as promising precursors to the preparation of diverse functional materials. Herein, a facile and versatile layer-by-layer strategy without any special surface modifications has proposed for magnetic metal-organic (MMOFs) supported molecularly imprinted polymer nanoparticles (MMOFs@MIP), which are based on magnetically susceptible core conjugated an imidazole-derived self-assembled layer silane-based...
With the demand for improving freeze-drying (FD) process efficiency and protecting product characteristics, intelligent robust analysis of parameters drawing effective FD curves has become development direction modern process. In this study, a prompt applicable prediction model was designed by FTIR associated with chemometrics. By using spectral preprocessing principal component analysis, 34 feature wavenumbers were extracted as input variables modeling to quantify parameters. Among 18...
The impact of long-term nucleos(t)ide analogs treatment on host metabolism is a concern. Hence, we conducted this study to compare the effect entecavir (ETV) and tenofovir disoproxil fumarate (TDF) metabolic parameters among chronic hepatitis B (CHB) patients. In real-life retrospective study, 2030 CHB outpatients treated with ETV or TDF at Nanfang Hospital, China, were included. For treatment-naïve patients, pretreatment semiannual collected. treatment-experienced collected first visit....
(S)-carvedilol (S-CAR) is the dominant pharmacodynamic conformation of carvedilol, but its further development for extended-release formulation restricted by poor solubility. This study aimed to prepare and screen S-CAR salts that could be used improve solubility allow extended release. Five with well-known acid counterions (i.e., phosphate, hydrochloride, sulfate, fumarate, tartrate) were produced using similar processes. However, these obtained water contents 1.60–12.28%, their...
The recognition of individual organs by machine vision is an important step towards the processing lamb meat and extraction edible offal. This paper presents first semantic segmentation method to localise label sheep in images extracted organ package. challenges around include lack available data sets, variable orientation, shape appearance organs, wet specular surface. To address these challenges, we created a new dataset for consisting pixel-wise labels seven types tissues. produce...
Developing vegetable-fruit beverages is complicated, requiring redundant formula design and continuous process adjustment hindering rapid intervention. This study aimed to solve the problem of high cost long cycle traditional research development mode in beverage demand diversification by developing a model combining electronic sense machine learning predict formulas processes for beverages. In this study, two novel data processing methods fusion imputation were applied increase scope...