摘要
采用可见近红外漫透射光谱技术,探讨鸭梨黑心病和可溶性固形物含量同时在线检测的可行性。在5个/s运动速度下,采集了黑心果和正常果的可见近红外能量谱。分析了正常果和黑心果的可见近红外光谱响应特性,分别建立了鸭梨黑心病峰值比判别模型和偏最小二乘判别模型。同时建立了可溶性固形物偏最小二乘回归模型,考察了黑心病对鸭梨可溶性固形物偏最小二乘回归模型预测精度的影响,提出了鸭梨黑心病和可溶性固形物含量同时在线检测策略。采用未参与建模的新样品,评价鸭梨黑心病和可溶性固形物含量在线分选的准确性,黑心果判别准确性达到100%,正常果可溶性固形物预测标准差为0.45°Brix,分选正确率达到98%。
Soluble solids content（ SSC） and blackheart are main quality evaluation indexes and physiological disease for‘Yali＇pear,respectively. The feasibility of simultaneous and online detection of blackheart and SSC was investigated by using visible-near infrared（ NIR） diffuse transmittance spectroscopy. The visible-NIR energy spectra of blackheart and healthy ‘Yali＇pears were collected at the speed of five samples per second. The response properties of visible-NIR spectra for blackheart and healthy ‘Yali＇pears were analyzed,and the discrimination models of peak ration（ PA） with wavelengths of 674 nm and 634 nm and the discrimination partial least square（ DPLS） were developed for discrimination of blackheart and healthy pears. DPLS was superior to PA with relative higher classification rate of 100%. The influence of blackheart to SSC determination was also explored by using partial least square（ PLS） regression models,and PLS model was employed with healthy ‘Yali＇pear samples. Then a novel strategy was proposed for simultaneous and online detection of blackheart and SSC for ‘Yali＇pears. With this strategy the blackheart pears were removed and healthy pears were sorted by SSC values simultaneously in the sorting line. The new samples were applied to evaluate precision of online sorting of blackheart and SSC for ‘Yali＇pear,which were not used to develop calibration models.The classification rate was 100% for identifying blackheart pears,stand error of prediction（ SEP） was0. 45°Brix,and accuracy of sorting for healthy pears was 98%. The results suggest that diffuse transmittance visible-NIR technique combining with DPLS and PLS methods has significant potential to simultaneous and online detection of blackheart and SSC of ‘Yali ＇ pears; moreover,it may have commercial and regulatory potential to avoid time consuming work,costly and laborious chemical analysisfor ‘Yali＇pears trade.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2016年第1期227-233,共7页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家高技术研究发展计划(863计划)项目(2012AA101904
SS2012AA101306)
科技部农业科技成果转化资金项目(2011GB2C500008)
关键词
鸭梨
黑心病
可溶性固形物
在线检测
可见近红外光谱
漫透射
‘Yali＇pear
blackheart
soluble solids content
online detection
visible-near infrared spectroscopy
diffuse transmittance
