Sensors | |
Investigating the Quantitative Structure-Activity Relationships for Antibody Recognition of Two Immunoassays for Polycyclic Aromatic Hydrocarbons by Multiple Regression Methods | |
Yan-Feng Zhang2  Li Zhang2  Zhi-Xian Gao1  | |
[1] Institute of Hygiene and Environmental Medicine, Tianjin 300050, China; E-Mail:;Key Laboratory for Pollution Process and Environmental Criteria of Ministry of Education, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China; E-Mails: | |
关键词: polycyclic aromatic hydrocarbons; immunoassay; enzyme-linked immunosorbent assay; cross-reactivity; quantitative structure-activity relationship; hapten; | |
DOI : 10.3390/s120709363 | |
来源: mdpi | |
【 摘 要 】
Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous contaminants found in the environment. Immunoassays represent useful analytical methods to complement traditional analytical procedures for PAHs. Cross-reactivity (CR) is a very useful character to evaluate the extent of cross-reaction of a cross-reactant in immunoreactions and immunoassays. The quantitative relationships between the molecular properties and the CR of PAHs were established by stepwise multiple linear regression, principal component regression and partial least square regression, using the data of two commercial enzyme-linked immunosorbent assay (ELISA) kits. The objective is to find the most important molecular properties that affect the CR, and predict the CR by multiple regression methods. The results show that the physicochemical, electronic and topological properties of the PAH molecules have an integrated effect on the CR properties for the two ELISAs, among which molar solubility (
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190043046ZK.pdf | 254KB | download |