Yiyan Li

ORCID: 0000-0002-1682-1108
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About
Contact & Profiles
Research Areas
  • Biosensors and Analytical Detection
  • Microfluidic and Capillary Electrophoresis Applications
  • Electrowetting and Microfluidic Technologies
  • Microfluidic and Bio-sensing Technologies
  • Advanced biosensing and bioanalysis techniques
  • Bacterial Identification and Susceptibility Testing
  • Moringa oleifera research and applications
  • Receptor Mechanisms and Signaling
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Protein Hydrolysis and Bioactive Peptides
  • Ion channel regulation and function
  • Neuroscience and Neuropharmacology Research
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • 3D Printing in Biomedical Research
  • Epigenetics and DNA Methylation
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced MEMS and NEMS Technologies
  • Insect Utilization and Effects
  • Smart Grid and Power Systems
  • Spectroscopy and Chemometric Analyses
  • Melanoma and MAPK Pathways
  • Cancer Mechanisms and Therapy
  • Electrochemical sensors and biosensors
  • Bioenergy crop production and management
  • Semiconductor materials and interfaces

Peking University
2020-2024

Institut national de l’information géographique et forestière
2024

University of Hong Kong
2024

Yunnan Agricultural University
2022-2024

Center for Life Sciences
2024

Fort Lewis College
2017-2023

University of Science and Technology Beijing
2020

China University of Petroleum, Beijing
2020

University of California, Irvine
2017-2019

Irvine Valley College
2019

To realize the high-value utilization of Rushan cheese by-product, whey was used as a raw material to prepare angiotensin-Ⅰ-converting enzyme inhibitory peptides (ACEIPs). After enzymatic hydrolysisn and ultrafiltration, sequences were identified by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS). Two novel ACE Phe-Asp-Arg-Pro-Phe-Leu (FDRPFL) Lys-Trp-Glu-Lys-Pro-Phe (KWEKPF) identified. Additionally, both exhibited good water-solubility no toxicity according in-silico...

10.1016/j.fochx.2024.101211 article EN cc-by Food Chemistry X 2024-02-10

Sepsis due to antimicrobial resistant pathogens is a major health problem worldwide. The inability rapidly detect and thus treat bacteria with appropriate agents in the early stages of infections leads excess morbidity, mortality, healthcare costs. Here we report rapid diagnostic platform that integrates novel one-step blood droplet digital PCR assay high throughput 3D particle counter system potential perform bacterial identification antibiotic susceptibility profiling directly from whole...

10.1039/c9lc01212e article EN Lab on a Chip 2019-12-16

Rapid bacterial identification (ID) and antibiotic susceptibility testing (AST) are in great demand due to the rise of drug-resistant bacteria. Conventional culture-based AST methods suffer from a long turnaround time. By necessity, physicians often have treat patients empirically with antibiotics, which has led an inappropriate use elevated mortality rate healthcare costs, resistance. Recent advances miniaturization automation provide promising solutions for rapid ID/AST profiling, will...

10.1177/2472630317727519 article EN cc-by-nc-nd SLAS TECHNOLOGY 2017-08-29

3D periodic broccoli-like Au and Ag SERS arrays having reliability, reproducibility, long-term stability, high-sensitivity have been fabricated are used for detecting phthalates.

10.1039/c4tc02224f article EN Journal of Materials Chemistry C 2014-12-03

A low-cost and high-resolution capacitive-to-digital converter integrated circuit is used for droplet position detection in a digital microfluidic system. field-programmable gate array FPGA as the logic hub of system highly reliable efficient control circuit. fast-fabricating PCB (printed board) substrate proposed. Smaller actuation threshold voltages than those previously reported are obtained. Droplets (3 µL) actuated by using 200 V, 500 Hz modulating pulsed voltage. Droplet positions can...

10.1177/2211068214566940 article EN cc-by-nc-nd SLAS TECHNOLOGY 2015-01-22

Raman spectroscopy is a common identification and analysis technique used in research manufacturing industries. This study investigates the use of deep learning techniques for identifying various nanofabrication chemicals. Four solvents SU-8 developer were identified inside chemical storage distribution containers. The containers attenuated spectra contributed varying amounts background fluorescence, making manual difficult. Two varieties photoresist differentiated amber glass jars, cured...

10.1109/jsen.2023.3249668 article EN IEEE Sensors Journal 2023-03-02

Fluorescence labeling of chemically fixed specimens, especially immunolabeling, plays a vital role in super-resolution imaging as it offers convenient way to visualize cellular structures like mitochondria or the distribution biomolecules with high detail. Despite development various distinct probes that enable super-resolved stimulated emission depletion (STED) live cells, most these membrane-potential-dependent fluorophores cannot be retained well after chemical fixation. This lack...

10.1073/pnas.2317703121 article EN cc-by Proceedings of the National Academy of Sciences 2024-04-30

In order to study the influence of MgO refractory on inclusions during steelmaking process, laboratory quasi-equilibrium experiments were performed in crucibles at 1873 K. It was found that there no MgO-containing formed when ultra-low Al C steel used. When contents dissolved and changed, different composition ranges led types inclusions. shown as well for both low high steel, average content from large small was: MgO-10% slag addition > MgO-free addition. Based results, a simple...

10.3390/met10040444 article EN cc-by Metals 2020-03-28

N-Methyl-d-aspartate receptors (NMDARs) are glutamate-gated Na+ and Ca2+-permeable ion channels involved in excitatory synaptic transmission plasticity. NMDAR hypofunction has long been implicated the pathophysiology including major depressive disorders (MDDs). Herein, we report a series of furan-2-carboxamide analogues as novel NMDAR-positive allosteric modulators (PAMs). Through structure-based virtual screen electrophysiological tests, FS2921 was identified PAM with potential...

10.1021/acs.jmedchem.0c02018 article EN Journal of Medicinal Chemistry 2021-05-03

Droplet actuation, merging, and splitting using controlled electro-wetting are implemented on the top of a standard printed circuit board (PCB) resulting in fast prototyping microfluidic platform for biological experiments. In system reported here PCB is used as substrate covered with Saran Wrap. The Wrap can then be coated, or not, commercial water repellent liquid. hydrophobic surface supporting dielectric layer Results show that lower actuation voltages frequencies achieved, than...

10.1109/mwscas.2014.6908418 article EN 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS) 2014-08-01

Three tunable Au SERS nanostructures (nanoparticles, nanowire–nanoparticle conjugations, nanofilms) were fabricated and used for sodium cyclamate detection.

10.1039/c4ra01243g article EN RSC Advances 2014-01-01

An ultra-sensitive electrowetting on dielectric (EWOD) capacitance measurement system is proposed in this study. A 24-bit integrated circuit (IC) capacitance-to-digital (CDC) sensor used to convert the changes caused by variations droplet volume and concentration digital data. 2.3 mm printed board (PCB) based electrode pair sense analog change. The of pure water NaCl solutions are tested CDC system. Desktop-drawing software fix position obtain a small deviation 10 IF. Result shows can...

10.1109/dcas.2014.6965350 article EN 2014-10-01

Generating synthetic data has become a popular alternative solution to deal with the difficulties in accessing and sharing field measurement power systems. However, make generation results controllable, existing methods (e.g. Conditional Generative Adversarial Nets, cGAN) require labeled dataset train model, which is demanding practice because many lacks descriptive labels. In this paper, we introduce Information Maximizing Nets (infoGAN) achieve interpretable feature extraction controllable...

10.48550/arxiv.2407.13691 preprint EN arXiv (Cornell University) 2024-07-18

Bacteria identification can be a time-consuming process. Machine learning algorithms that use deep convolutional neural networks (CNNs) provide promising alternative. Here, we present based approach paired with Raman spectroscopy to rapidly and accurately detect the identity of bacteria class. We propose simple 4-layer CNN architecture 30-class isolate dataset for training testing. achieve an accuracy around 86% speeds close real-time. This optical/biological detection method is applications...

10.1109/ccwc51732.2021.9375955 article EN 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) 2021-01-27
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