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不同检测方式对南丰蜜桔可溶性固形物检测的精度影响研究 被引量:2

A Study on Effects of Different Detection Modes on Prediction Accuracy of Soluble Solid Content in Nanfeng Mandarin Fruit
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摘要 本研究比较漫反射和全透射两种检测方式对南丰蜜桔(薄皮型水果)可溶性固形物(SSC)检测精度的影响。采用QualitySpec型可见/近红外光谱仪采集南丰蜜桔样本的可见/近红外漫反射和全透射光谱,并应用3种建模方法建立相应的南丰蜜桔SSC模型。研究结果表明,检测方式对南丰蜜桔SSC的检测精度影响大,全透射检测方式明显优于漫反射检测方式。漫反射和全透射检测方式的最优南丰蜜桔SSC预测模型的相关系数和预测均方根误差(RMSEP)分别为O.933、0.601%和0.973、0.381%。与漫反射检测方式相比,全透射检测方式建立的最优SSC预测模型的RMSEP下降了41%~52-8%。 The objective of this study was to investigate the effects of diffuse reflectance and full transmis- sion detection modes on the aecuray of predicting soluble solid content (SSC) in Nanfeng mandarin fruit.Visi- ble/near infrared (Vis/NIR) diffuse reflectance and full transmission spectra of Nanfeng mandarin fruit sam- ples were acquired by a QualitySpec spectrometer, and three calibration methods were used to develop calibra- tion models of SSC of Nanfeng mandarin fruit at two detection modes.The results indicated that the effect of de- tection mode on the accuracy of predicting SSC in Nanfeng mandarin fruit was significant, and the full transmis- sion mode was superior to the diffuse reflectance mode.The correlation coefficients and root mean square errors of prediction (RMSEPs) in best prediction models for defecting SSC in Nanfeng mandarin fruit for diffuse re- flectance and full transmission modes were 0.933,0.601 % and 0.973,0.381%,respectively.Compared with the diffuse reflectance detection mode, the RMSEP of the best SSC prediction model for full transmission detection mode dropped by 41%-52.8%.
出处 《江西农业大学学报》 CAS CSCD 北大核心 2013年第6期1162-1167,共6页 Acta Agriculturae Universitatis Jiangxiensis
基金 国家自然科学基金青年科学基金项目(30972052) 留学人员科技活动项目(2012) 江西省自然科学基金项目(20132BAB214010)
关键词 检测方式 预测精度 可见 近红外 南丰蜜桔 可溶性固形物 detection mode prediction precision Vis/NIR Nanfeng mandarin fruit soluble solid content
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参考文献16

  • 1Liu Y,Sun D,Zhang H. Nondestructive measurement of internal quality of Nanfeng mandarin fruit by charge coupled de-vice near infrared spectroscopy[J].{H}Computers and Electronics in Agriculture,2010,(1):10-14.
  • 2Cayuela J A,Weiland C. Intact orange quality prediction with two portable NIR spectrometers[J].{H}Postharvest Biology and Technology,2010,(2):113-120.
  • 3Jamshidi B,Minaei S,Mohajerani E. Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Va-lencia oranges[J].{H}Computers and Electronics in Agriculture,2012.64-69.
  • 4Sánchez M T,De la Haba M J,Pérez-Marín D. Internal and external quality assessment of mandarins on-tree and at harvest using a portable NIR spectrophotometer[J].{H}Computers and Electronics in Agriculture,2013.66-74.
  • 5袁雷,刘辉军,余桂英,郑颖君.柑橘品质的近红外光谱无损检测[J].光谱实验室,2006,23(4):820-822. 被引量:22
  • 6孙旭东,章海亮,欧阳爱国,刘燕德.南丰蜜桔可溶性固形物近红外特征波段选择[J].农业机械学报,2009,40(7):129-132. 被引量:32
  • 7Antonucci F,Pallottino F,Paglia G. Non-destructive estimation of mandarin maturity status through portable vis-nir spectrophotometer[J].Food and Bioprocess Technology,2011,(5):809-813.
  • 8孙旭东,郝勇,蔡丽君,刘燕德.南丰蜜桔可溶性固形物近红外检测的多元线性回归变量筛选[J].生物物理学报,2011,27(8):727-734. 被引量:6
  • 9许文丽,孙通,胡涛,刘木华.基于可见/近红外光谱的南丰蜜桔可溶性固形物预测模型优化研究[J].食品工业科技,2013,34(18):49-52. 被引量:1
  • 10Shao Y N,He Y,Bao Y D. Near-infrared spectroscopy for classification of oranges and prediction of the sugar content[J].{H}INTERNATIONAL JOURNAL OF FOOD PROPERTIES,2009,(3):644-658.

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