Optimisation using the finite element method of a filter-based microfluidic SERS sensor for detection of multiple pesticides in strawberry.

Autor: Asgari S; Food Science Program, Division of Food System & Bioengineering, University of Missouri, Columbia, MO, USA., Wu G; Institute of Materials Science, University of Connecticut, Mansfield, CT, USA., Aghvami SA; Qlibrium Inc., Woburn, MA, USA., Zhang Y; Institute of Materials Science, University of Connecticut, Mansfield, CT, USA., Lin M; Food Science Program, Division of Food System & Bioengineering, University of Missouri, Columbia, MO, USA.
Jazyk: angličtina
Zdroj: Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment [Food Addit Contam Part A Chem Anal Control Expo Risk Assess] 2021 Apr; Vol. 38 (4), pp. 646-658. Date of Electronic Publication: 2021 Mar 10.
DOI: 10.1080/19440049.2021.1881624
Abstrakt: This study developed an in-field analytical technique for food samples by integrating filtration into a surface-enhanced Raman spectroscopy (SERS) microchip. This microchip embedded a filter membrane in the chip inlet to eliminate interfering particulates and enrich target analytes. The design and geometry of the channel were optimised by finite-elemental method (FEM) to tailor variations of flow velocity (within 0-24 μL/s) and facilitate efficient mixing of the filtrate with nanoparticles in two steps. Four pesticides (thiabendazole, thiram, endosulfan, and malathion) were successfully detected either individually or as a mixture in strawberries using this sensor. Strong Raman signals were obtained for the four studied pesticides and their major peaks were clearly observable even at a low concentration of 5 µg/kg. Limits of detection of four pesticides in strawberry extract were in the range of 44-88 μg/kg, showing good sensitivity of the sensor to the target analytes. High selectivity of the sensor was also proved by successful detection of each individual pesticide as a mixture in strawberry matrices. High recoveries (90-122%) were achieved for the four pesticides in the strawberry extract. This sensor is the first filter-based SERS microchip for identification and quantification of multiple target analytes in complex food samples.
Databáze: MEDLINE
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