A5052850767- Silicon Nanostructures and Photoluminescence
- Analytical Chemistry and Sensors
- Biosensors and Analytical Detection
- Gas Sensing Nanomaterials and Sensors
- Nanowire Synthesis and Applications
- Advanced biosensing and bioanalysis techniques
- Microfluidic and Bio-sensing Technologies
- Neural Networks and Applications
- Mechanical and Optical Resonators
Vanderbilt University
2021-2025
Porous silicon (PSi) thin films on substrates have been extensively investigated in the context of biosensing applications, particularly for achieving label-free optical detection a wide range analytes. However, mass transport challenges made it difficult these biosensors to achieve rapid response times and low limits. In this work, we introduce an approach improving efficiency molecule PSi by using open-ended membranes atop paper flow-through sensor scheme. The substrate provides structural...
The ultimate detection limit of optical biosensors is often limited by various noise sources, including those introduced the measurement setup. While sophisticated modifications to instrumentation may reduce noise, a simpler approach that can benefit all sensor platforms application signal processing minimize deleterious effects noise. In this work, we show applying complex Morlet wavelet convolution Fabry-P\'erot interference fringes characteristic thin film reflectometric effectively...
The anterior gradient homologue-2 (AGR2) protein is an attractive biomarker for various types of cancer. In pancreatic cancer, it secreted to the juice by premalignant lesions, which would be ideal stage diagnosis. Thus, designing assays sensitive detection AGR2 highly valuable potential early diagnosis and other Herein, we present a biosensor label-free investigate approaches enhancing aptasensor sensitivity accelerating target mass transfer rate reducing system noise. based on...
The response time of a biosensor is crucial metric in safety-critical applications such as medical diagnostics where an earlier diagnosis can markedly improve patient outcomes. However, the speed at which reaches final equilibrium state be limited by poor mass transport and long molecular diffusion times that increase it takes target molecules to reach active sensing region biosensor. While optimization system sensor design promote reaching element faster, simpler complementary approach for...
We report a generalizable computational approach to dramatically reduce biomolecular and chemicalsensor response time for applications including medical diagnostics. Comparing the performance of different models, we use experimental data train ensembles both traditional recurrent neural networks (RNN) long short-term memory (LSTM) networks, accurately predict equilibrium sensor from measured over short span. This is particularly advantageous platforms with times due poor mass transport,...
We investigate the utility of various statistical and machine learning techniques for classifying quantifying selected proteins using an array porous silicon sensors with uniquely tuned properties. No capture agents or bioreceptors are utilized protein detection. The sensing approach relies on differences in non-specific physisorption represents a step towards new low cost, simple robust sensor platform that can detect vast range biomolecules.