UPM Institutional Repository

Linearity study on detection and quantification limits for the determination of avermectins using linear regression


Ismail, Rafidah and Lee, Hai Yen and Mahyudin, Nor Ainy and Abu Bakar, Fatimah (2014) Linearity study on detection and quantification limits for the determination of avermectins using linear regression. Journal of Food and Drug Analysis, 22 (4). pp. 407-412. ISSN 1021-9498


In this study, linear relationships between response and concentration were used to estimate the detection limit (DL) and quantification limit (QL) for five avermectins: emamectin, abamectin, doramectin, moxidectin, and ivermectin. Estimation of DL and QL was based on the standard deviation of residual and y-intercept of the regression line at low concentrations of avermectins, using the dispersive solid-phase extraction procedure. Avermectin extracts were analyzed using liquid chromatography tandem mass spectrometry. Based on the regression slope, DL and QL were higher at concentrations of 0.3–0.4 μg/kg and 1 μg/kg, respectively, for all avermectin compounds. Linearity assessment was performed by linear regression, which incorporated a regression model, outlier rejection, and evaluation of the assumption with a significant test. For all avermectins, there is a significant correlation between response and concentration in the range 1–15 μg/kg, and the y-intercept passes through origin (zero).

Download File

Full text not available from this repository.

Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
DOI Number: https://doi.org/10.1016/j.jfda.2014.01.026
Publisher: National Laboratories of Foods and Drugs
Keywords: Avermectins; Detection limit; Dispersive solid-phase extraction; Linear regression; Linearity; Quantification limit
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 15 Dec 2015 01:32
Last Modified: 15 Dec 2015 01:32
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jfda.2014.01.026
URI: http://psasir.upm.edu.my/id/eprint/34385
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item