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鸭梨黑心病可见/近红外漫透射光谱在线检测

The Discrimination of Blackheart Pears Research Based on Visible/Near-Infrared Diffuse Transmission Spectrum On-Line Detector

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摘要

鸭梨黑心病是鸭梨的主要生理病害, 直接影响鸭梨的出口创汇; 准确快速鉴别鸭梨黑心病对于梨的出口业具有重要现实意义。 探讨可见/近红外漫透射光谱在线检测鸭梨黑心病的可行性, 选取80个正常鸭梨和70个黑心鸭梨作为建模集, 建模集被分为校正集和预测集以求获得最优模型。 未参与建模的30个正常梨和20个黑心梨作为预测集, 用于评价模型的预测能力。 鸭梨的可见/近红外漫透射光谱, 在5个/秒的速度下采集。 建模集能量谱经标准正交变换(SNV)和多元散射校正(MSC)处理后, 分别建立健康梨和黑心梨的偏最小二乘判别模型(DPLS)、 峰面积判别模型(DPA)、 主成分判别模型(DPCA)。 用建模集模型判别预测集鸭梨, 经比较, DPLS模型的判别准确率最高, 黑心梨正确识别率达到100%。 实验结果表明: 可见/近红外漫透射光谱结合DPLS判别方法, 可以实现黑心鸭梨的在线检测。 相比传统的人工破损方法, 在线检测可为梨出口贸易提供技术支撑和科学参考依据。

Abstract

Pears which suffer from the main physiological disease as blackheart directly affected the export of pears, so fast and accurate identification of blackheart pears for pear export is of practical significance. Vis/NIR spectroscopy combining new online technique was proposed to identify exterior and interior properties of objects in the present study. The purpose of this paper is to have a research on the feasibility of using visible/near-infrared diffuse transmission spectrum on-line detector to detect blackheart pears. 80 normal pears and 70 pears in disease are taked as modeling set. All samples were divided into the calibration set and prediction set for developing optimal results and assessing their performance. The visible/near-infrared diffuse transmission spectrum was collected under the speed of 5 pears per minute. Energy spectrum processed by the standard orthogonal transformation (SNV) and multiple scatter correction (MSC) respectively established the model of blackheart pears by partial least-squares discriminant model(DPLS) , peak area discriminant model (DPA) and PCA discriminant model(DPCA). 30 normal pears and 20 blackheart pears were taken as prediction set was used to evaluate the ability to predict. By comparison, the model of DPLS has the highest accuracy. All the blackheart pears were recognised correctly. The experiment shows that visible/near-infrared diffuse transmission spectrum with DPLS discriminant method realized the on-line detection of blackheart pears which provided technical support and reference for export trade of ‘Yali’ pear products. In comparison to destruction and time-consuming chemical methods, the results in the feasibility study may provide technical support and scientific reference in testing blackheart pears.

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中图分类号:O657.3

DOI:10.3964/j.issn.1000-0593(2017)12-3714-05

基金项目:国家(863)高技术研究发展计划项目(2012AA101906), 赣鄱英才555工程领军人才培养计划(2011-64), 江西省光电检测工程技术研究中心项目(赣科发财字[2012]155号), 江西省研究生创新专项资金项目(YC2013-S166), 江西省杰出青年人才计划(20171BCB23060)资助

收稿日期:2015-06-17

修改稿日期:2015-12-29

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刘燕德:华东交通大学光机电技术及应用研究所, 江西 南昌 330013
李轶凡:华东交通大学光机电技术及应用研究所, 江西 南昌 330013
龚志远:华东交通大学光机电技术及应用研究所, 江西 南昌 330013
孙旭东:华东交通大学光机电技术及应用研究所, 江西 南昌 330013

联系人作者:刘燕德(jxliuyd@163.com)

备注:刘燕德, 1967年生, 华东交通大学光机电技术及应用研究所教授

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引用该论文

LIU Yan-de,LI Yi-fan,GONG Zhi-yuan,SUN Xu-dong. The Discrimination of Blackheart Pears Research Based on Visible/Near-Infrared Diffuse Transmission Spectrum On-Line Detector[J]. Spectroscopy and Spectral Analysis, 2017, 37(12): 3714-3718

刘燕德,李轶凡,龚志远,孙旭东. 鸭梨黑心病可见/近红外漫透射光谱在线检测[J]. 光谱学与光谱分析, 2017, 37(12): 3714-3718

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