- Tea Polyphenols and Effects
- Food Quality and Safety Studies
- Metabolomics and Mass Spectrometry Studies
- Down syndrome and intellectual disability research
- Computational Drug Discovery Methods
- Advanced Chemical Sensor Technologies
- Fermentation and Sensory Analysis
- Flavonoids in Medical Research
- Phytochemicals and Antioxidant Activities
- Artificial Intelligence in Healthcare
- Alzheimer's disease research and treatments
- 14-3-3 protein interactions
- Dementia and Cognitive Impairment Research
- Analytical Chemistry and Chromatography
- Spectroscopy and Chemometric Analyses
- Medicinal Plant Pharmacodynamics Research
- Recycling and Waste Management Techniques
Shandong First Medical University
2023-2024
Beijing Technology and Business University
2021-2024
Astringency is a puckering or velvety sensation mainly derived from flavonoid compounds in food. The traditional experimental approach for astringent compound discovery was labor-intensive and cost-consuming, while machine learning (ML) can greatly accelerate this procedure. Herein, we propose the Flavonoid Prediction Database (FAPD) based on ML. First, Molecular Fingerprint Similarities (MFSs) thresholds of were hierarchically clustering analyzed. For astringency threshold prediction, four...
Green tea is a popular beverage around the world and possesses unique flavor. The flavor qualities of green are closely related to its grade this relationship has not yet been studied. Three baked teas with similar were studied, namely, Huangshan Maofeng, Taiping Houkui, Shucheng Xiaolanhua. A total 34 odor compounds identified by solid phase microextraction (SPME) combined two-dimensional comprehensive gas chromatography-olfactometry-mass spectrometry analysis (GC×GC-O-MS). results...
The phenolic compounds (PCs) are the primary components responsible for astringency of tea infusions, and this is intricately linked to in situ oral metabolism PCs saliva. Initially, a total 54 were identified infusions by electrospray mass spectrometry (ESI-MS). Subsequently, an vivo analysis during varying drinking times locations was conducted both paper spray (PS-MS) sensory evaluation. within saliva prolonged process, residual distributed across diverse regions after infusion, higher PC...
Cadmium and its compounds are currently known as Class I carcinogens, excessive intake can cause severe health damage to humans. Rice has a strong absorption effect on cadmium, rice products with cadmium content have caused several significant public contamination incidents. It is essential predict the development trend of hazards in supply chain so that countermeasures be formulated reduce hazards. This paper proposes deep prediction model for based regularization method. Firstly, long...
Abstract Dual specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A) plays an essential role in tau and Aβ pathology closely related to Alzheimer’s disease (AD). Accumulative evidence has demonstrated DYRK1A inhibition is able reduce the pathological features of AD. Nevertheless, there no approved inhibitors for clinical use as anti-AD drugs. This somewhat lack effective safe chemotypes inhibitors. To address this issue, we carried out silico screening, vitro assays vivo efficacy...