Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species-Reference-Cited by-同舟云学术

Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species

Published:2021 Issue:4 Volume:146 Page:1224-1233
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Jiang Shengli¹²³⁴,Noh JungHyun⁵⁶⁷⁴,Park Chulsoon¹²³⁴,Smith Alexander D.¹²³⁴,Abbott Nicholas L.⁵⁶⁷⁴^ORCID,Zavala Victor M.¹²³⁴

Affiliation:

1. Department of Chemical and Biological Engineering

2. University of Wisconsin-Madison

3. Madison

4. USA

5. Smith School of Chemical and Biomolecular Engineering

6. Cornell University

7. Ithaca

Abstract

Detection and quantification of bacterial endotoxins is important in a range of health-related contexts, including during pharmaceutical manufacturing of therapeutic proteins and vaccines.

Funder

Army Research Office

National Science Foundation

Division of Materials Research

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AN/D0AN02220A

Reference32 articles.

1. R. A. Proctor , Handbook of Endotoxins , Elsevier , Amsterdam , 1984 , vol. 2

2. The physicochemistry of endotoxins in relation to bioactivity

3. Mass Spectrometry-based Structural Analysis and Systems Immunoproteomics Strategies for Deciphering the Host Response to Endotoxin

4. R. A. Proctor , Handbook of Endotoxins , Elsevier , Amsterdam , 1984 , vol. 1

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