Two-Dimensional TMD: The Future of Healthcare Technology?

In recent years, two-dimensional materials such as transition metal dichalcogenides (TMD) have gained significant attention for their unique properties, including large surface area and high surface sensitivity, as well as their electrical, optical, and electrochemical properties. These properties make TMD a promising platform for biosensing, which is critical for disease prevention and diagnosis in public health.

A research team recently conducted a comprehensive review of the state-of-the-art methods used to modulate the properties of TMD and their applications in biosensing. The team found that TMD can serve as an atomically thin platform for energy storage and conversion, photoelectric conversion, catalysis, and biosensing, due to its wide band structure and unusual optical properties. In addition, TMD can be produced in large quantities at a low cost, making it a cost-effective option for biomedical applications. In public health, non-invasive monitoring of biomarkers, such as serotonin, dopamine, cortisol, and epinephrine, is essential for diagnosing psychological diseases. Biosensors play a critical role in the diagnostics, environmental monitoring, and forensic industries by allowing healthcare professionals to quickly and accurately assess a person's stress levels and diagnose psychological diseases. The research team reviewed the use of TMD as a functional material for biosensing and the different approaches to modulating its properties, including electric, optical, and electrochemical sensors. Despite the remarkable potential of TMD-based biosensors, many challenges still need to be solved before they can make a real impact in public health. The research team recommends several possible research directions, including the use of machine learning to reduce testing time and improve the database of biomolecules and TMD pairs, surface modifications to improve the activity of TMD-based composites, and the development of low-cost, low-temperature manufacturing methods to prepare TMD.

As the key technical issues are solved, the devices based on TMD will be promising candidates for new healthcare technologies. The potential applications of TMD in public health are vast and could play a significant role in disease prevention and diagnosis in the future. The research team's findings provide a valuable contribution to the field and suggest exciting opportunities for further research and development.

Comments

How to install siesta(DFT code) in ubuntu?

Required libraries to download Siesta-4.1-b4.tar (Try to download upgrade version) with some package ● lapack-3.8.0.tar.gz ● libgridxc-0.8.4.tar ● Xmlf90-1.5.4.tar.gz ● hdf5-1.8.21.tar.bz2 ● hdf5-1.10.4.tar.gz ● netcdf-c-4.6.1.tar.gz ● netcdf-c-4.6.2.tar.gz ● netcdf-fortran-4.4.4.tar.gz ● zlib-1.2.11.tar.gz Steps to install siesta ●First extract the siesta tar file. ●Then through the terminal go to Obj of siesta folder. (i.e$obj ) ● $sh ../Src/obj_setup.sh ● Type $cp gfortran.make arch.make ● Type ls, then we saw arch.make file inside obj folder of siesta. ● Finally, type $make Then we got siesta executable inside Obj folder which is ready to run. https://youtu.be/EI1vuPfeLPs

Google Quantum AI Takes Step Towards climbable Quantum Error Correction

Google Quantum AI has taken a significant step forward in the development of scalable quantum error correction, according to a new study published by the company. Quantum computers are prone to errors due to noise from the underlying physical system, which must be reduced for quantum computers to achieve their potential. One way to address this is through error-correcting codes, which use an ensemble of physical qubits to form a logical qubit that can detect and correct errors without affecting information. However, scaling up such systems means manipulating more qubits, which can introduce more logical errors. To address this challenge, the Google team demonstrated that a surface code logical qubit can lower error rates as the system size increases. They created a superconducting quantum processor with 72 qubits and tested it with two different surface codes: a distance-5 logical qubit on 49 physical qubits and smaller ones called distance-3 logical qubits on 17 physical qubits. The l...

Empowering Women for a Sustainable Future “Climate Change in Nepal”

Climate change is one of the most significant challenges facing humanity today, with devastating impacts on people, animals, and the environment. Nepal is one of the most vulnerable countries to climate change, with the Himalayan region being particularly affected. In this context, it is crucial to understand the intersectionality of climate change with gender and its impact on the people of Nepal, especially women. Women in Nepal are often the most affected by the impacts of climate change, as they are disproportionately responsible for household and community-level tasks such as food and water collection, which are affected by climate change. Women are also more likely to live in poverty and have fewer resources and opportunities to adapt to the impacts of climate change. One of the most significant impacts of climate change on women in Nepal is related to agriculture. Women in Nepal are responsible for up to 80% of agricultural work, but their access to resources such as land, water...

Hashtag Peace

Search This Blog