Sample–Sample Correlation Asynchronous Spectroscopic Method Coupled with Multivariate Curve Resolution-Alternating Least Squares To Analyze Challenging Bilinear Data
Abstract
An approach to construct a secondary asynchronous spectrum via sample–sample correlation (SASS) is proposed to analyze bilinear data from hyphenated spectroscopic experiments. In SASS, bilinear data is used to construct a series of two-dimensional (2D) sample–sample correlation spectra. Then a vertical slice is extracted from each 2D sample–sample correlation spectrum so that a secondary 2D asynchronous spectrum is constructed via these slices....
Paper Details
Title
Sample–Sample Correlation Asynchronous Spectroscopic Method Coupled with Multivariate Curve Resolution-Alternating Least Squares To Analyze Challenging Bilinear Data
Published Date
Dec 6, 2019
Journal
Volume
92
Issue
1
Pages
1477 - 1484
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History