Multivariate image analysis–quantitative structure‐retention relationship study of polychlorinated biphenyls using partial least squares and radial basis function neural networks-Reference-Cited by-同舟云学术

Multivariate image analysis–quantitative structure‐retention relationship study of polychlorinated biphenyls using partial least squares and radial basis function neural networks

Published:2020-03-06 Issue:8 Volume:43 Page:1479-1488
ISSN:1615-9306
Container-title:Journal of Separation Science
language:en
Short-container-title:J. Sep. Sci.

Author:

Jalili‐Jahani Nasser¹^ORCID,Fatehi Azadeh¹

Affiliation:

1. Green Land Shiraz Eksir Chemical and Agricultural Industries Company Shiraz Iran

Publisher

Wiley

Subject

Filtration and Separation,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jssc.201901101

Reference39 articles.

1. Critical evaluation of polychlorinated biphenyl toxicity in terrestrial and marine mammals: Increasing impact of non-ortho and mono-ortho coplanar polychlorinated biphenyls from land to ocean

2. Response of xenobiotic metabolizing enzymes of rainbow trout (Oncorhynchus mykiss) to the mono-ortho substituted polychlorinated PCB congener 2,3?,4,4?,5-pentachlorobiphenyl, PCB-118, detected by enzyme activities and immunochemical methods

3. Formation of toxic PCB congeners and PCB-solvent adducts in a sunlight irradiated cyclohexane solution of Aroclor 1254

4. Analysis of industrial contaminants in indoor air: Part 1. Volatile organic compounds, carbonyl compounds, polycyclic aromatic hydrocarbons and polychlorinated biphenyls

5. High-resolution PCB analysis: synthesis and chromatographic properties of all 209 PCB congeners

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