Flexible Nanomaterial Sensors for Non-Invasive Health Monitoring
JSHS · 2024
Overview
Diabetes is the eighth leading cause of death in the United States, while about 1 in 5 patients are unaware that they have been affected. Being a diabetic, it is required to monitor blood glucose level regularly. Current needle-based glucose monitoring met hods are invasive, painful, and easy to cause infection, so this strongly discourages people from early detection and management. Moreover, the invasive method requires to change supplies every week, it not covered by most insurance, which could be a constant burden for a family. Therefore, developing a non -invasive glucose monitoring technique is of utmost importance. But the complex components in blood may cause various adverse effects on the non-invasive measurement results. The research aims to address the limitations of existing invasive and non -invasive glucose monitoring by integrating nanomaterial sensors into wearables. GeSe, a flexible 2D material, is used for polarimetric sensors. After interacting with glucose molecules, the sensors measure ligh t polarization for accurate, non-invasive glucose monitoring. The sensor is calibrated using known glucose concentrations and a machine -learning algorithm ensures reliability. Rigorous testing against traditional devices is done through controlled studies on various objects to improve accuracy. GeSe -based nano sensor could revolutionize glucose monitoring because this approach not only establishes the viability of nanomaterials in transforming health monitoring but also highlights their potential to significantly improve the accuracy and convenience of blood glucose monitoring for individuals managing diabetes. The integration of nanomaterial-based sensors into wearable devices represents a noteworthy and disruptive stride towards enhancing the efficiency and accessibility of healthcare technologies. Creation of Novel Living Plant -Based Hybrid Microbial Fuel Cell (H -MFC) Systems for Low -Power Electronic Applications Matthew Lo The Haverford School, Haverford, PA This research focused on the development of a proposed novel plant-based hybrid MFC (H-MFC), with two different configurations (dry and wet). Additionally, three main factors of the MFC systems were studied: the effect of plants through rhizodeposition and photosynthetic efficiency, the impact of soil and its microbial characteristics, and the configuration design of an efficient MFC. All H -MFC systems were carefully constructed using three types of soils, six plants, and three electrode types. Power densit y from each system was calculated as a function of days. Statistical t -tests were applied for data analysis. T -test analyses showed that the differences between wet and dry systems were extremely statistically significant, with the wet system reducing inte rnal resistance by more than 2 times and increasing power density by more than 3 times, showing the role of water content on power output capacity. Furthermore, the hybrid systems displayed significant advantages over their soil MFC (S -MFC) and plant MFC ( P-MFC) counterparts, especially in sustained power output and lowered internal resistance, and reached a maximum power density of 0.28 W/m2. The current proposed configuration designs have been implemented in three scaled-up real-world applications, first to power motion -activated lights in a house and backyard, second to power a wireless soil humidity and temperature sensor in a greenhouse, and third to power the humidity sensor in a golf course and show use especially in low -power field applications. This research suggests that plant-based hybrid MFC systems will be the future direction of S-MFC and P-MFC technology.
Competition history
- JSHS 2024
Resources
Related projects
JSHS · 2023
Designing an Activated Carbon Filter to Reduce Water Contamination from Fire Water Runoff
JSHS · 2024
Year 3 Study- Applications of Antimicrobial Bioplastics Engineered from Invasive Algae and Waste Corn Cobs
JSHS · 2020
Developing A Urinalysis Immunoassay for Cortisol Detection Year 2
CWSF · 2026
From Swell to Signal: Hydrogel Polymer Design in Biosensor Performance
ISEF · 2021
Developing a Wearable Triboelectric Nanogenerator to Sustainably Power Biosensors
JSHS · 2025
Positive Association between Degenerative Cervical Myelopathy and Trigeminal Neuralgia
JSHS · 2020
Embedded System for the Real-Time Fall Detection of Elderly Individuals using Thermal Imaging and Deep Learning
JSHS · 2020
Just Keep Swimming: A Study of if Artemia salina's Activity Can Measure Water Toxicity
Closest projects by meaning, across every fair and year in the corpus.