Study for wavelet denoising methods of laser Raman spectrum of carbendazim pesticide

WANG Xiao-bin; WU Rui-mei; LIU Mu-hua; LIN Lei; ZHANG Lu-ling

doi:10.13386/j.issn1002-0306.2014.05.003

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Science and Technology of Food Industry > 2014 > (05): 277-280. > DOI: 10.13386/j.issn1002-0306.2014.05.003

WANG Xiao-bin, WU Rui-mei, LIU Mu-hua, LIN Lei, ZHANG Lu-ling. Study for wavelet denoising methods of laser Raman spectrum of carbendazim pesticide[J]. Science and Technology of Food Industry, 2014, (05): 277-280. DOI: 10.13386/j.issn1002-0306.2014.05.003

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Study for wavelet denoising methods of laser Raman spectrum of carbendazim pesticide

College of Engineering, Jiangxi Agricultural University
Jiangsu Key Laboratory of Physical Processing of Agricultural Product, Jiangsu University

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Received Date: August 06, 2013

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Abstract

Abstract

Raman signal of carbendazim pesticide was collected by laser Raman spectrometer. Moving- average smoothing method, wavelet soft- threshold method and wavelet hard- threshold were applied respectively to denoise the acquired Raman signals, and their denoising effects were compared.The results showed that wavelet hard- threshold could obtain the optimal denoising quality. When wavelet base function being sym2, scale decomposition being 5, the threshold quantization being ‘Heursure', hard- threshold value being processed, signal to noise ratio ( SNR) of the reconstructed spectral was maximum which was 60.927, and root mean square error ( RMSE) was minimum which was 11.429. The study showed that wavelet hard- threshold could effectively remove the noise information of the raw Raman signals of carbendazim pesticide, and saved the most number of spectra details.The study could provide a methodological support for the rapid detection of pesticide residue in food and agricultural products based on Raman spectrum.
- carbendazim pesticide,
- Laser Raman spectrum,
- wavelet analysis,
- denoising

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