基于可见-近红外光谱的砂糖橘总酸无损检测
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国家自然科学基金项目(30871450)、现代农业(柑橘)产业技术体系建设专项(农科教发\[2011\]3号)和华南农业大学校长基金项目(2009K005)


Nondestructive test of total acidity in ‘shatangju’(Citrus reticulatablanco)with near-infrared spectroscopy
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    摘要:

    以砂糖橘为对象,建立基于可见-近红外光谱的砂糖橘总酸含量的无损检测方法。试验采集170个完整砂糖橘的500~2 500 nm漫反射光谱,然后采用滴定法测定总酸含量。采用Sym8小波变换对光谱进行去噪预处理,并采用连续投影算法(successive projections algorithm,SPA)结合间隔偏最小二乘法(interval partial least squares,iPLS)优选波长,最终建立BPNN和偏最小二乘法(partial least squares method,PLS)总酸预测模型。结果表明:砂糖橘光谱的小波去噪方法产生的信噪比均值SNR=175.291 1,去噪信号与原始信号间的均方根误差均值RMSE=0.000 13,性能优于常规去噪方法。SPA与iPLS相结合构成的反向偏最小二乘法(backward interval partial least squares,BiPLS)_SPA波长选择法能将光谱变量从2 001个压缩到14个,能简化模型并提高建模精度和稳定性。BPNN模型具有更好的非线性映射能力,基于这14个变量的BPNN总酸预测模型的预测相关系数 Rp =0.867,预测均方根误差RMSEP=0.061 6,性能优于线性的PLS模型。

    Abstract:

    Near-infrared spectroscopy was used to measure total acidity in ‘shatangju’ (Citrus reticulatablanco). The diffuse reflection spectra of 170 intact samples within 500-2 500 nm were collected.The total acidity in intact samples were measured by titration method.After that,the spectra were de-noised using the orthogonal wavelet functions sym8 (level=3).And then the spectra variables were optimized by successive projections algorithm (SPA) and interval partial least squares (iPLS).Finally,the PLS calibration models of intact samples were established and compared.As a result,wavelet de-noising can produce higher SNR and lower RMSE than that of routine method.Wavelength variables were decreased from 2 001 to 14 by biPLS_SPA,and this can help to make the models more concise and robust.The BPNN model produced RP =0.867 and RMSEP=0.061 6 with 14 variables as inputs.

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代芬,洪添胜,罗霞,洪涯,李岩.基于可见-近红外光谱的砂糖橘总酸无损检测[J].华中农业大学学报,2012,31(4):518-523

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  • 收稿日期:2011-07-20
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