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Preliminary study on qualitative and quantitative detection of norfloxacin based on terahertz spectroscopy

International Journal of Agricultural and Biological Engineering 2017年第5期10卷 262-268页

作者： Long Yuan Li Bin Beijing Research Center for Information Technology in Agriculture Beijing 100097China Key Laboratory of Agri-informatics Ministry of AgricultureBeijing 100097China Beijing Key Laboratory of Digital Plant Beijing 100097China

Norfloxacin is a kind of quinolone bactericide which is widely used in food industry,livestock feed and medicine area.At present,how to develop a rapid,convenient and accurate technique for qualitative and quantitative detection of norfloxacin is still a challenge.In this study,Terahertz Time-domain Spectroscopy technology(THz-TDS)was used to explore qualitative and quantitative analysis of norfloxacin.Forty-five norfloxacin samples with different levels were prepared.The pure norfloxacin powder was mixed with polyethylene(PE)powder together and made into tablets by tablet-making machine.The minimum detection concentration was 10%and the maximum detection concentration evaluated in the paper was 90%.Then,terahertz(THz)spectra of each sample were measured on K15 THz-TDS equipment.The multiple linear regressions and the partial least squares regression algorithms were used to establish a model to make quantitative analysis.From the results,two typical fingerprint peaks of norfloxacin in terahertz band were observed at 0.944 THz and 1.206 THz,and the correlation coefficient and the root mean square error of the established model reached 0.9908 and 0.0481,respectively,which showed that the model performed well for the prediction.This preliminary study indicates that THz spectroscopy has great potential for future screening applications to detect the presence of norfloxacin residues in food,livestock feed and medicine industries.

关键词： Terahertz spectroscopy norfloxacin qualitative and quantitative detection model correlation coefficient

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detection of Three-component Adulteration in Camellia Oleifera Abel Seed Oil by Near Infrared Spectroscopy

Detection of Three-component Adulteration in Camellia Oleife...

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作者： Zi-hao CAI Ya-ru YU Qiang XU Xiao ZHENG School of Mechanical Engineering Wuhan Polytechnic University

In this paper,A combination of near-infrared microscopy and chemometrics were employed to identify the adulteration in Camellia oleifera Abel seed oil.The qualitative and quantitative detection methods for three-component adulteration in Camellia oleifera Abel seed oil was studied,and the models for the authenticity identification and content determination of Camellia oleifera Abel seed oil were established.Multivariate scattering correction（MSC）,standard normal variate（SNV） and combination of standard normal variate and de-trend（SNV-DT） were separately used for the preprocessing of original spectra.Backward interval partial least squares（BiPLS） method was used to optimize feature variables,and partial least squares（PLS） method was employed to extract the spectrum from the characteristic wavelength.The parameters were optimized through comparative interactive verification（CV） and genetic algorithm（GA）.With the establishment of qualitative and quantitative models in the full wavelength and characteristic wavelength ranges,the qualitative and quantitative identification paths were optimized.The results show that the identification and quantitative detection of Camellia oleifera Abel seed oil adulterated with three dopants could be realized by NIRS.The accuracy of as-established MSC-BiPLS-GA-SVC model was up to 100%.The correlation coefficient R of the MSC-BiPLS-GA-SVC model reached 99.7254%,and the MSE value was 0.0234.

关键词： Near infrared spectroscopy Camellia oleifera Abel seed oil Three-component adulteration qualitative and quantitative detection

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