Diagnosis of <i>Mycobacterium tuberculosis</i> using palladium–platinum bimetallic nanoparticles combined with paper-based analytical devices-Reference-Cited by-同舟云学术

Diagnosis of Mycobacterium tuberculosis using palladium–platinum bimetallic nanoparticles combined with paper-based analytical devices

Published:2024 Issue:12 Volume:16 Page:5988-5998
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Tung Cheng-Yang¹,Tsai Tsung-Ting²^ORCID,Chiu Ping-Yeh¹²,Viter Roman³,Ramanavičius Arũnas⁴^ORCID,Yu Cheng-Ju⁵,Chen Chien-Fu¹^ORCID

Affiliation:

1. Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan

2. Department of Orthopaedic Surgery, Bone and Joint Research Center, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan 333, Taiwan

3. Institute of Atomic Physics and Spectroscopy, University of Latvia, Jelgavas Street 3, LV-1004 Riga, Latvia

4. State Research Institute Center for Physical and Technological Sciences, Sauletekio Ave. 3, LT-10257 Vilnius, Lithuania

5. Department of Applied Physics and Chemistry, University of Taipei, Taipei 100, Taiwan

Abstract

This study demonstrates that palladium–platinum bimetallic nanoparticles (Pd@Pt NPs) can be used as the nanozyme for highly sensitive Mycobacterium tuberculosis diagnosis on a multi-layer paper-based analytical device.

Funder

National Science and Technology Council

Chang Gung Memorial Hospital, Linkou

National Taiwan University

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/NR/D3NR05508F

Reference78 articles.

1. Human ancient DNA analyses reveal the high burden of tuberculosis in Europeans over the last 2,000 years

2. WHO's Global Tuberculosis Report 2022

3. Pre-trained convolutional neural networks as feature extractors for tuberculosis detection

4. Rapid Detection of Mycobacterium tuberculosis Complex and Rifampin Resistance in Smear-Negative Clinical Samples by Use of an Integrated Real-Time PCR Method

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