Real-time temperature monitoring within biological objects is a key fundamental issue for understanding the heating process and performing remote-controlled release of bioactive compounds upon laser irradiation. The lack of accurate thermal control significantly limits the translation of optical laser techniques into nanomedicine. Here, we design and develop hybrid (complex) carriers based on multilayered capsules combined with nanodiamonds (NV centers) as nanothermometers and gold nanoparticles (Au NPs) as nanoheaters to estimate an effective laser-induced temperature rise required for capsule rupture and further release of cargo molecules outside and inside cancerous (B16-F10) cells. We integrate both elements (NV centers and Au NPs) in the capsule structure using two strategies: (i) loading inside the capsule's cavity () and incorporating them inside the capsule's wall (). Theoretically and experimentally, we show the highest and lowest heat release from capsule samples ( or ) under laser irradiation depending on the Au NP arrangement within the capsule. Applying NV centers, we measure the local temperature of capsule rupture inside and outside the cells, which is determined to be 128 ± 1.12 °C. Finally, the developed hybrid containers can be used to perform the photoinduced release of cargo molecules with simultaneous real-time temperature monitoring inside the cells.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acsami.1c05252DOI Listing

Publication Analysis

Top Keywords

real-time temperature
12
temperature monitoring
12
gold nanoparticles
8
laser irradiation
8
capsule rupture
8
release cargo
8
cargo molecules
8
inside capsule's
8
inside cells
8
inside
6

Similar Publications

Short time solar power forecasting using P-ELM approach.

Sci Rep

December 2024

School of Electrical and Information, Hunan University, Changsha, 410083, China.

Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term solar power forecasting method using a hybrid machine learning algorithm, with the system trained using the pre-trained extreme learning machine (P-ELM) algorithm. The proposed method utilizes temperature, irradiance, and solar power output at instant i as input parameters, while the output parameters are temperature, irradiance, and solar power output at instant i+1, enabling next-day solar power output forecasting.

View Article and Find Full Text PDF

Background: Bovine respiratory syncytial virus (BRSV) is a significant cause of bovine respiratory disease, resulting in significant losses to the cattle industry. For rapid detection of BRSV, a real-time recombinase-aided isothermal amplification assay (qRT-RAA) based on the gene of BRSV was developed in this study.

Results: The developed qRT-RAA assay showed good exponential amplification of the target fragment in 20 min at a constant temperature of 39 °C.

View Article and Find Full Text PDF

System Dynamics Modeling of Scale Formation in Membrane Distillation Systems for Seawater and RO Brine Treatment.

Membranes (Basel)

November 2024

Civil and Environmental Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 136-702, Republic of Korea.

To overcome the limitations of traditional Reverse Osmosis (RO) desalination, Membrane Distillation (MD) has gained attention as an effective solution for improving the treatment of seawater and RO brine. Despite its potential, the formation of inorganic scales, particularly calcium sulfate (CaSO), continues to pose a major challenge. This research aims to explore the scaling mechanisms in MD systems through a combination of experimental analysis and dynamic modeling.

View Article and Find Full Text PDF

In this work, we present an experimental approach for monitoring the temperature of submicrometric, real-time operating electrical circuits using luminescence thermometry. For this purpose, we utilized lanthanide-doped up-converting nanocrystals as nanoscale temperature probes, which, combined with a highly sensitive confocal photoluminescence microscope, enabled temperature monitoring with spatial resolution limited only by the diffraction of light. To validate our concept, we constructed a simple model of an electrical microcircuit based on a single silver nanowire with a diameter of approximately 100 nm and a length of about 50 µm, whose temperature increase was induced by electric current flow.

View Article and Find Full Text PDF

Identification and Validation of qRT-PCR Reference Genes for Analyzing Responses to High-Temperature Stress.

Curr Issues Mol Biol

December 2024

National Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei 230026, China.

Quantitative real-time PCR (qRT-PCR) is an essential tool for analyzing and selecting stable reference genes. In order to screen for suitable reference genes under high-temperature stress conditions in , this study measured the relative expression levels of 17 candidate reference genes using qRT-PCR. Among these, four are traditional reference genes, while the remaining thirteen are candidate reference genes with no previous reports on their use as reference genes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!