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Multichannel nanoplasmonic platform for imidacloprid and fipronil residues rapid screen detection

Authors :
Jenn-Feng Sheen
Yung-Ju Tung
Pei-Kuen Wei
Chia-Wen Kuo
Kuang-Li Lee
Yi-Hsin Tai
Shune-Rung Hsiao
Shu-Cheng Lo
Ju-Chun Hsu
Sheng-Hann Wang
Shu-Yi Hsieh
Source :
Biosensorsbioelectronics. 170
Publication Year :
2020

Abstract

In recent years, imidacloprid and fipronil have been reported to harm beneficial insects, such as honey bees, and to potentially pose risks to mammals, including humans. Considering their widespread use and potential minimum toxic range from 10 ppb to 1 ppm (species dependent), a simple, rapid, sensitive, and reliable method for screening and detection is urgently needed. Here, we present a surface plasmon resonance (SPR)-based nanoplasmonic chip integrated with a multichannel spectral imaging system to detect ecosystem-harming pesticides. The pre-modification of the designed mercapto-haptens reduced detection time to 2.5 h. Moreover, owing to the multichannel configuration, it was possible to introduce an internal standard analytical method to effectively reduce matrix interference in real samples; thus, the concentration of the target pesticide could be determined more precisely. The strong linearity of the spiked sample test results indicated high accuracy in quantifying target pesticides. Considering the limit of detection (~10 ppb), the cutoffs for detection and quantification were set at 15 and 45 ppb, respectively, and were used as the detection criteria. The detection results of the blind tests of real samples were also compared with those of liquid chromatography electrospray ionization tandem mass spectrometry (standard method) and were highly consistent. The custom-made integrated SPR system allows much simpler, label-free, high-throughput, and reliable on-site identification and quantification of imidacloprid and fipronil. All test results validated the platform's capability in the on-site rapid screening and detection of pesticide residues at the parts per billion and parts per million levels.

Details

ISSN :
18734235
Volume :
170
Database :
OpenAIRE
Journal :
Biosensorsbioelectronics
Accession number :
edsair.doi.dedup.....012b41384572f0529915e046db160443