Detecting Levels and Innovative Applications for the Detection of Aromatic Compounds Using Multivariate Curve Analysis and Spectroscopy Data

Volume 19 No 3 (2021)

Al-Ibadi Zeyad , Muthana Alboedam , Ilya Katanov , Al-Zubaidi Sura

DOI: 10.14704/nq.2021.19.3.NQ21027

Abstract

Rapid technological developments and the increasing complexity of matrix work are increasing interest in finding robust technical solutions and fast and assertive data analysis. The data can be filtered to obtain spectral data in more useful spectral bands, the developed algorithms allow quantification of the spectral mixture, and it can be measured with or without titration

Keywords

Aromatic Compounds, Sensors, Fluorescence, Ultraviolet Spectroscopy, PolyFit, ProcessorsGases, PCA, MCR.

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.