Automated Photochemically Induced Method for the Quantitation of the Neonicotinoid Thiacloprid in Lettuce.
J Jiménez-LópezEulogio Jose Llorent-MartínezS Martínez-SoliñoAntonio Ruiz-MedinaPublished in: Molecules (Basel, Switzerland) (2019)
In this work, we present an automated luminescence sensor for the quantitation of the insecticide thiacloprid, one of the main neonicotinoids, in lettuce samples. A simple and automated manifold was constructed, using multicommutated solenoid valves to handle all solutions. The analyte was online irradiated with UV light to produce a highly fluorescent photoproduct (λexc/λem = 305/370 nm/nm) that was then retained on a solid support placed in the flow cell. In this way, the pre-concentration of the photoproduct was achieved in the detection area, increasing the sensitivity of the analytical method. A method-detection limit of 0.24 mg kg-1 was achieved in real samples, fulfilling the Maximum Residue Limit (MRL) of The European Union for thiacloprid in lettuce (1 mg kg-1). A sample throughput of eight samples per hour was obtained. Recovery experiments were carried out at values close to the MRL, obtaining recovery yields close to 100% and relative standard deviations lower than 5%. Hence, this method would be suitable for routine analyses in quality control, as an alternative to other existing methods.
Keyphrases
- quality control
- ms ms
- label free
- mass spectrometry
- machine learning
- liquid chromatography
- deep learning
- quantum dots
- high throughput
- photodynamic therapy
- liquid chromatography tandem mass spectrometry
- blood pressure
- loop mediated isothermal amplification
- real time pcr
- single cell
- wastewater treatment
- social media
- high glucose
- cell therapy
- tandem mass spectrometry
- aortic valve replacement
- aortic valve
- diabetic rats
- stem cells
- endothelial cells
- solid phase extraction
- oxidative stress
- bone marrow
- zika virus
- simultaneous determination
- energy transfer