基于近红外漫透射光谱信息的蚕茧雌雄检测
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国家自然科学基金(青年基金)资助项目(31201129)、现代农业产业技术体系建设专项资金资助项目(CARS-27)和高等学校博士学科点专项科研基金资助项目(20124404120006)


Non-destructive Detection of Male and Female Silkworm Cocoon Based on Transmission Near Infrared Spectroscopy
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    摘要:

    采用Maya2000pro型近红外光谱分析仪,以3个品种共491粒蚕茧为实验对象,进行了450~1 050 nm波段内的漫反射和漫透射光谱采集和比较。随后对漫透射光谱数据进行了均值中心和一阶求导预处理,并分别对 3个 品种以及全部样本通过偏最小二乘判别法(PLSDA)进行了判性预测分析。结果表明:相对于漫反射光谱,漫透射光谱更能反映出雌雄蚕蛹组分特性的不同;基于漫透射光谱的PLSDA预测结果显示,分别针对3个品种的鉴别结果(试东A ·华3xC ·7532判性真雌性率、真雄性率和精确度分别为89.796%、92.424%和90.854%;化中2 ·华3xC ·7532判性真雌性率、真雄性率和精确度分别为96.250%、94.253%和95.210%;9 ·芙x7 ·湘判性真雌性率、真雄性率和精确度分别为97.260%、91.954%和94.375%)和全部样本混在一起的雌雄鉴别结果(真雌性率、真雄性率和精确度分别为94.024%、92.917%和93.483%)都较好。

    Abstract:

    The diffuse reflection and diffuse transmission spectra of 491 cocoon samples were collected and compared for male and female discrimination. Maya2000pro NIR spectrometer was used in this experiment. Subsequently, diffuse transmission spectra within 450~1050 nm was approached by the mean center and the first order derivative pretreatment. Finally, partial least squares discriminant analysis (PLSDA) was used to make a predictive analysis for the three species of cocoon samples. As a result, the diffuse transmission spectra were better to reflect the characteristics of the components inside the chrysalis, compared with the diffuse reflective spectra. The diffuse transmission spectra could distinguish male and female well respectively for three species (sensitivity of 89.796%, specificity of 92.424% and accuracy of 90.854% for variety Shidong A〖DK〗·Hua 3xC〖DK〗·7532; and sensitivity of 96.250%, specificity of 94.253% and accuracy of 95.210% for variety Huazhong 2〖DK〗·Hua 3xC〖DK〗·7532; sensitivity of 97.260%, specificity of 91.954% and accuracy of 94.375%for variety 9〖DK〗·Fu x7〖DK〗·Xiang ). The identification results of all samples mixed together were also good with sensitivity of 94.024%, specificity of 92.917% and accuracy of 93.483%.

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代芬,吴玲,叶观艳,钟杨生,洪添胜,黄晓燕.基于近红外漫透射光谱信息的蚕茧雌雄检测[J].农业机械学报,2015,46(12):280-284.

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  • 收稿日期:2015-03-19
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  • 在线发布日期: 2015-12-10
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