LOC-SERS: A Promising Closed System for the Identification of Mycobacteria-Reference-Cited by-同舟云学术

LOC-SERS: A Promising Closed System for the Identification of Mycobacteria

Published:2016-07-29 Issue:16 Volume:88 Page:7998-8004
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Mühlig Anna¹²,Bocklitz Thomas²,Labugger Ines³,Dees Stefan³,Henk Sandra³,Richter Elvira⁴,Andres Sönke,Merker Matthias,Stöckel Stephan²,Weber Karina¹²,Cialla-May Dana¹²,Popp Jürgen¹²

Affiliation:

1. Leibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Strasse 9, 07745 Jena, Germany

2. Institute for Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Helmholtzweg 4, 07743 Jena, Germany

3. Alere Technologies GmbH, Löbstedter Strasse 103-105, 07743 Jena, Germany

4. MVZ Laboratory Dr. Limbach & Kollegen GbR, Im Breitspiel 15, 69126 Heidelberg, Germany

Funder

Bundesministerium für Bildung und Forschung

Freistaat Thüringen

European Regional Development Fund

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.6b01152

Reference49 articles.

1. An Official ATS/IDSA Statement: Diagnosis, Treatment, and Prevention of Nontuberculous Mycobacterial Diseases

2. Structure, function, and biogenesis of the cell wall of Mycobacterium tuberculosis

3. Mycobacterial cell wall: Structure and role in natural resistance to antibiotics

4. A bioanalytical method to determine the cell wall composition of Mycobacterium tuberculosis grown in vivo

Cited by 83 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale;Sensors;2024-02-27

2. Rapid and Highly Sensitive Detection of Bacterial Pathogens Using Agsno/Si Chip;2024

3. Smart sensors for infectious disease diagnosis;Next-Generation Smart Biosensing;2024

4. Rapid and highly sensitive detection of bacterial pathogens using AgSnO/Si chip;2023-12-16

5. Hybrid use of Raman spectroscopy and artificial neural networks to discriminate Mycobacterium bovis BCG and other Mycobacteriales;PLOS ONE;2023-12-11