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基于HPLC测量通过近红外光谱对在蓝莓成分的含量无损预测模型的构建
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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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基于HPLC测量通过近红外光谱对在蓝莓成分的含量无损预测模型的构建

DOI:
10.3791/53981-v

•

10:25 min

•

June 28, 2016

•

, , , , ,
1United Graduate School of Agricultural Science,Tokyo University of Agriculture and Technology, 2Faculty of Agriculture,Tokyo University of Agriculture and Technology, 3Institute of Agriculture,Tokyo University of Agriculture and Technology

Bölümler

  • 00:05Başlık
  • 01:16Collection of Samples and Measurement of Spectra
  • 02:16Pretreatment for HPLC Measurements of Sugars and Organic Acids
  • 04:21HPLC Measurements of Sugars
  • 05:51Pretreatment for HPLC Measurements of Anthocyanins
  • 06:47HPLC Measurements of Anthocyanins
  • 08:11Results: Validations of the Constructed Models
  • 08:51Conclusion

Özet

Otomatik Çeviri

Otomatik Çeviri

We present here a protocol to construct and validate models for nondestructive prediction of total sugar, total organic acid, and total anthocyanin content in individual blueberries by near-infrared spectroscopy.

Etiketler

Near-infrared SpectroscopyNondestructive PredictionIngredient ContentsBlueberriesHPLC MeasurementsTotal SugarTotal Organic AcidTotal Anti-cyanineCalibration ModelValidationDiffuse ReflectanceSample PretreatmentHomogenizationEnzyme Deactivation

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