Journal
CHINESE JOURNAL OF CHEMICAL PHYSICS
Volume 32, Issue 4, Pages 444-450Publisher
CHINESE PHYSICAL SOC
DOI: 10.1063/1674-0068/cjcp1808193
Keywords
Amitraz; surface-enhanced Raman spectroscopy method; Oblique angle deposition; Honey; Detection; Sensing; Ag nanorod; Density function theory; Partial least squares regression
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Funding
- Natural Science Foundation of the Higher Education Institutions of Jiangsu Province [16KJB510009, 17KJB510017]
- Jiangsu Province Natural Science Foundation of China [BK20150228]
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As an effective and universal acaricide, amitraz is widely used on beehives against varroasis caused by the mite Varroa jacobsoni. Its residues in honey pose a great danger to human health. In this study, a sensitive, rapid, and environmentally friendly surface-enhanced Raman spectroscopy method (SERS) was developed for the determination of trace amount of amitraz in honey with the use of silver nanorod (AgNR) array substrate. The AgNR array substrate fabricated by an oblique angle deposition technique exhibited an excellent SERS activity with an enhancement factor of similar to 10(7). Density function theory was employed to assign the characteristic peak of amitraz. The detection of amitraz was further explored and amitraz in honey at concentrations as low as 0.08 mg/kg can be identified. Specifically, partial least square regression analysis was employed to correlate the SERS spectra in full-wavelength with Camitraz to afford a multiple-quantitative amitraz predicting model. Preliminary results show that the predicted concentrations of amitraz in honey samples are in good agreement with their real concentrations. Compared with the conventional univariate quantitative model based on single peak's intensity, the proposed multiple-quantitative predicting model integrates all the characteristic peaks of amitraz, thus offering an improved detecting accuracy and anti-interference ability.
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