Xin-ming Nie, Jing Wang, Xun Wang, Ya-ping Tian, Si Chen, Zhou-yang Long, Cheng-hua Zong. Highly Effective Detection of Amitraz in Honey by Using Surface-Enhanced Raman Scattering Spectroscopy Coupled with Chemometric Methods[J]. Chinese Journal of Chemical Physics , 2019, 32(4): 444-450. doi: 10.1063/1674-0068/cjcp1808193
Citation: Xin-ming Nie, Jing Wang, Xun Wang, Ya-ping Tian, Si Chen, Zhou-yang Long, Cheng-hua Zong. Highly Effective Detection of Amitraz in Honey by Using Surface-Enhanced Raman Scattering Spectroscopy Coupled with Chemometric Methods[J]. Chinese Journal of Chemical Physics , 2019, 32(4): 444-450. doi: 10.1063/1674-0068/cjcp1808193

Highly Effective Detection of Amitraz in Honey by Using Surface-Enhanced Raman Scattering Spectroscopy Coupled with Chemometric Methods

doi: 10.1063/1674-0068/cjcp1808193
Funds:  This work was supported by the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (No.16KJB510009 and No.17KJB510017), Jiangsu Province Natural Science Foundation of China (BK20150228).
  • Received Date: 2018-08-27
  • 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 ∽107. 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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Highly Effective Detection of Amitraz in Honey by Using Surface-Enhanced Raman Scattering Spectroscopy Coupled with Chemometric Methods

doi: 10.1063/1674-0068/cjcp1808193
Funds:  This work was supported by the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (No.16KJB510009 and No.17KJB510017), Jiangsu Province Natural Science Foundation of China (BK20150228).

Abstract: 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 ∽107. 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.

Xin-ming Nie, Jing Wang, Xun Wang, Ya-ping Tian, Si Chen, Zhou-yang Long, Cheng-hua Zong. Highly Effective Detection of Amitraz in Honey by Using Surface-Enhanced Raman Scattering Spectroscopy Coupled with Chemometric Methods[J]. Chinese Journal of Chemical Physics , 2019, 32(4): 444-450. doi: 10.1063/1674-0068/cjcp1808193
Citation: Xin-ming Nie, Jing Wang, Xun Wang, Ya-ping Tian, Si Chen, Zhou-yang Long, Cheng-hua Zong. Highly Effective Detection of Amitraz in Honey by Using Surface-Enhanced Raman Scattering Spectroscopy Coupled with Chemometric Methods[J]. Chinese Journal of Chemical Physics , 2019, 32(4): 444-450. doi: 10.1063/1674-0068/cjcp1808193

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