SERS Nanowire Chip and Machine Learning-Enabled Classification of Wild-Type and Antibiotic-Resistant Bacteria at Species and Strain Levels-Reference-Cited by-同舟云学术

SERS Nanowire Chip and Machine Learning-Enabled Classification of Wild-Type and Antibiotic-Resistant Bacteria at Species and Strain Levels

Published:2023-05-09 Issue:20 Volume:15 Page:24047-24058
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Das Sathi¹,Saxena Kanchan²,Tinguely Jean-Claude³,Pal Arijit⁴,Wickramasinghe Nima L.⁵,Khezri Abdolrahman⁶,Dubey Vishesh³,Ahmad Azeem³,Perumal Vivekanandan⁴,Ahmad Rafi⁶,Wadduwage Dushan N.⁷,Ahluwalia Balpreet Singh³^ORCID,Mehta Dalip Singh¹^ORCID

Affiliation:

1. Bio-photonics and Green Photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Hauz-Khas, New Delhi 110016, India

2. Amity Institute of Renewable and Alternative Energy, Amity University, Sector-125, Noida, Uttar Pradesh 201303, India

3. Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø 9037, Norway

4. Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India

5. Department of Electronic and Telecommunication Engineering, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka

6. Department of Biotechnology, Inland Norway University of Applied Sciences, Holsetgata 22, Hamar 2317, Norway

7. Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, Massachusetts 02138, United States

Funder

Norges Forskningsr?d

Direktoratet for internasjonalisering og kvalitetsutvikling i h?gare utdanning

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c00612

Reference45 articles.

1. Emerging bacterial pathogens: the past and beyond

2. Persistent Bacterial Infections, Antibiotic Treatment Failure, and Microbial Adaptive Evolution

3. Infectious disease in an era of global change

4. Burden of foodborne diseases: think global, act local

5. Overview of Waterborne Pathogens

Cited by 16 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. Surface enhanced Raman spectroscopy and machine learning for identification of beta-lactam antibiotics resistance gene fragment in bacterial plasmid;Analytica Chimica Acta;2024-11

2. Multifunctional SERS Substrate for Simultaneous Detection of Multiple Contaminants and Photothermal Removal of Pathogenic Bacteria;ACS Applied Materials & Interfaces;2024-09-13

3. New insights into the reaction mechanism of sulfurized polyacrylonitrile cathode material for Li–S batteries;Composites Communications;2024-08

4. Optical biosensors for the detection of foodborne pathogens: recent development and future prospects;TrAC Trends in Analytical Chemistry;2024-08

5. Hardware-Free Testing for Antimicrobial Resistance Using Artificial Intelligence;2024-07-12