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中国精品科技期刊2020
苹果有效酸度的近红外无损检测研究[J]. 食品工业科技, 2013, (15): 298-301. DOI: 10.13386/j.issn1002-0306.2013.15.035
引用本文: 苹果有效酸度的近红外无损检测研究[J]. 食品工业科技, 2013, (15): 298-301. DOI: 10.13386/j.issn1002-0306.2013.15.035
Nondestructive measurement of pH in apples using near infrared spectroscopy[J]. Science and Technology of Food Industry, 2013, (15): 298-301. DOI: 10.13386/j.issn1002-0306.2013.15.035
Citation: Nondestructive measurement of pH in apples using near infrared spectroscopy[J]. Science and Technology of Food Industry, 2013, (15): 298-301. DOI: 10.13386/j.issn1002-0306.2013.15.035

苹果有效酸度的近红外无损检测研究

Nondestructive measurement of pH in apples using near infrared spectroscopy

  • 摘要: 为了更好的对苹果的有效酸度进行检测,实验应用波长范围为643.26~985.11nm的Purespect近红外透射光谱仪对100个富士苹果的校正集样品和20个预测集样品进行了光谱扫描,比较了不同的光谱预处理方法和不同建模波段对模型的影响,最终确立的模型相关系数(RC)为0.925,校正均方根误差(RMSEC)为0.0395。对模型预测性能的验证结果表明:建立的苹果有效酸度模型性能较稳定,能满足实际应用的要求。 

     

    Abstract: Purespect near infrared transmittance spectroscopy with wavelength ranging from 643.26 nm to 985.11nm were employed to spectrally scan 100 calibration samples and 20 validation samples of Red Fuji apples ( Malus domestica Borkh.) for modeling to predict apple pH nondestructively.Influence of different pretreatment methods of spectral data and that of different wavelength selected on adaptability of the pH modeling were compared. The validation results of the prediction performance of the finally set model, with a correlation coefficient of 0.925 and RMSEC of 0.0395, showed that the performance of the established apple effective acidity model was stable and met the requirements of practical application.

     

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