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The Utility Research on NIR Diffuse Reflectance and Transmittance Measurements Mode in Authenticity Identification of Maize Population Samples

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In the present paper, the spectral measurements of maize population samples were researched so as to identify their authenticity. Diffuse reflectance and transmittance measure modes were used to collect spectral data of 8 maize varieties. DPLS-DA was used to compress pretreated data. The recognition models of eight maize varieties were built based on biomimetic pattern recognition (BPR). The average correct recognition rate and average correct rejection rate of identification models built by two modes were calculated. The average recognition rate and rejection rate of diffuse reflectance method reached 94.50% and 96.71%, and those of transmittance method reached 98.5% and 98.00%, respectively. Both of them met the requirements of maize preliminary screening., and the recognition rate and rejection rate of transmittance method are higher than diffuse reflectance method by 4% and 1.3% respectively.

Keywords: Biomimetic Pattern Recognition10; Diffuse reflectance; Diffuse transmittance; Near Infrared Spectroscopy

Document Type: Research Article

Publication date: 01 June 2012

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  • Spectroscopy and Spectral Analysis, founded in 1981, is sponsored by the Chinese Central Iron & Steel Research Institute. "Spectroscopy and Spectral Analysis" has been indexed in SCI(1999), Ei(1992), MEDLINE(1999), and AJ (1999). "Spectroscopy and Spectral Analysis" publishes original contributions on various fields in Spectroscopy, including research results on laser spectroscopy, IR, Ramn, UV/Vis, Optical Emission, Absorption and Fluorescence spectroscopy, X-ray Fluorescence, and Spectrochemical Analysis, as well as Reseach paper, Research notes, Experimental Technique and Instrument, Review and Progress on the latest development of spectroscopy and spectrochemical anlysis, etc. "Spectroscopy and Spectral Analysis" is published monthly by Peking University Press with book sizes of large 16-mo format , and 292 pages per issue.
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