Multiplex Detection of Antibiotic Residues in Milk: Application of MCR-ALS on Excitation–Emission Matrix Fluorescence (EEMF) Data Sets

Autor:	Mahsa N. Sheikholeslami, Yalda Hamidipanah, Foad Salehnia, Shayesteh Arshian, Morteza Hosseini, Mohammad Reza Ganjali
Rok vydání:	2022
Předmět:	Milk Multivariate Analysis Animals Humans Ampicillin Least-Squares Analysis Tetracycline Adenosine Monophosphate Anti-Bacterial Agents Fluorescent Dyes Analytical Chemistry
Zdroj:	Analytical Chemistry. 94:6206-6215
ISSN:	1520-6882 0003-2700
Popis:	The presence of antibiotics and their metabolites in milk and dairy products is a serious concern because of their harmful effects on human health. In the current study, a novel synergistic bimetallic nanocluster with gold and silver as an emission fluorescence probe was investigated for the simultaneous determination of tetracycline (TC), ampicillin (AMP), and sulfacetamide (SAC) antibiotics in the milk samples using excitation-emission matrix fluorescence (EEMF) spectroscopy. The multivariate curve resolution-alternating least squares (MCR-ALS) method was implemented to analyze augmented EEMF data sets to quantify the multicomponent systems in the presence of interferences with considerable spectral overlap. A pseudo-univariate calibration curve of the resolved emission spectra intensity against the concentration of the mentioned antibiotics was linear in the range of 5-5000 ng mL
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ecc07e61abf52a56aa8fe93b6641ff https://doi.org/10.1021/acs.analchem.1c05592 Zobrazit plný text záznamu