An initial estimation method using cosine similarity for multivariate curve resolution: application to NMR spectra of chemical mixtures-Reference-Cited by-同舟云学术

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An initial estimation method using cosine similarity for multivariate curve resolution: application to NMR spectra of chemical mixtures

Published:2019 Issue:20 Volume:144 Page:5986-5995
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Nagai Yuya¹²³⁴,Sohn Woon Yong¹²³⁴^ORCID,Katayama Kenji¹²³⁴⁵^ORCID

Affiliation:

1. Department of Applied Chemistry

2. Chuo University

3. Tokyo 112-8551

4. Japan

5. PRESTO

Abstract

Mixture spectra is decomposed into pure spectra without prior knowledge, and the MCR calculation refines the spectra and provides the concentrations.

Funder

Chuo University

Japan Science and Technology Agency

Promotion and Mutual Aid Corporation for Private Schools of Japan

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/AN/C9AN01416K

Reference46 articles.

1. An examination of the principle of non-destructive flesh firmness measurement of peach fruit by using VIS-NIR spectroscopy

2. Multivariate Curve Resolution of Hyphenated and Multidimensional Chromatographic Measurements: A New Insight to Address Current Chromatographic Challenges

3. Multivariate curve resolution in liquid chromatography

4. Study of the Hydrolysis of a Sulfonylurea Herbicide Using Liquid Chromatography with Diode Array Detection and Mass Spectrometry by Three-Way Multivariate Curve Resolution−Alternating Least Squares

5. Use of multivariate curve resolution and a high-speed diode array ultraviolet detector in size-exclusion chromatography of lignin-based copolymers

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