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近红外激发荧光光谱与拉曼光谱快速鉴别马铃薯品种

Rapid Identification of Potato Cultivars Using NIR-Excited Fluorescence and Raman Spectroscopy

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摘要

马铃薯是世界上最重要的食物之一, 快速无损的进行马铃薯品种鉴别对其在应用中更好的发挥品种优势具有重要作用。 研究了以近红外荧光光谱和近红外拉曼光谱的土豆品种鉴别, 并对两者进行了比较。 实验采用3个品种共98个土豆样本, 随机将其分成校正集(74个)和预测集(24个)。 首先使用785 nm近红外激光激发, 采集所有样本的荧光和拉曼混合光谱, 然后从混合光谱中分别提取荧光光谱和拉曼光谱, 最后对荧光光谱和拉曼光谱进行偏最小二乘判别分析(PLS-DA), PLS-DA模型采用留一法和全交互验证。 结果显示, 荧光光谱与拉曼光谱都能够对三个马铃薯品种进行鉴别, 其中荧光光谱的PLS-DA模型预测Favorita品种效果较好(灵敏度为1, 特异性086, 准确性092), 但Diamant品种(灵敏度为075, 特异性075, 准确性075)和Granola品种(灵敏度为016, 特异性089, 准确性071)预测的效果较差, 而拉曼光谱图很好的解释了马铃薯中的主要营养成分, 基于拉曼光谱的PLSDA模型的预测效果(三个品种预测灵敏度, 特异性, 准确性均为1)比荧光光谱判别效果显著提高。

Abstract

Potato is one of the most important food in the world. Rapid and noninvasive identification of potato cultivars plays an important role in the better use of varieties. In this study, The identification ability of optical spectroscopy techniques, including near-infrared (NIR) Raman spectroscopy and NIR fluorescence spectroscopy, for invasive detection of potato cultivars was evaluated. A rapid NIR Raman spectroscopy system was applied to measure the composite Raman and NIR fluorescence spectroscopy of 3 different species of potatoes (98 samples in total) under 785 nm laser light excitation. Then pure Raman and NIR fluorescence spectroscopy were abstracted from the composite spectroscopy, respectively. At last, the partial least squares- discriminant analysis (PLS-DA) was utilized to analyze and classify Raman spectra of 3 different types of potatoes. All the samples were divided into two sets at random: the calibration set (74samples) and prediction set(24 samples). the model was validated using a leave-one-out, cross-validation method. The results showed that both the NIR-excited fluorescence spectra and pure Raman spectra could be used to identify three cultivars of potatoes. The fluorescence spectrum could distinguish the Favorita variety well (sensitivity: 1, specificity: 086 and accuracy: 092), but the result for Diamant (sensitivity: 075, specificity: 075 and accuracy: 075) and Granola (sensitivity: 016, specificity: 089 and accuracy: 071) cultivars identification were a bit poorer. We demonstrated that Raman spectroscopy uncovered the main biochemical compositions contained in potato species, and provided a better classification sensitivity, specificity and accuracy (sensitivity: 1, specificity: 1 and accuracy: 1 for all 3 potato cultivars identification) among the three types of potatoes as compared to fluorescence spectroscopy.

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中图分类号:O6573

DOI:10.3964/j.issn.1000-0593(2014)03-0677-04

基金项目:广东省教育厅高校优秀青年创新人才培养计划(2012LYM_0028), 教育部高等学校博士学科点专项科研基金项目(20124404120006), 国家现代农业产业技术体系建设专项资金(CARS-27), 华南农业大学“211工程”建设项目和国家自然科学基金(青年基金)项目(31201129)资助

收稿日期:2013-06-04

修改稿日期:2013-09-12

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代芬:南方农业机械与装备关键技术重点实验室, 广东 广州510642华南农业大学工程学院, 广东 广州510642新加坡国立大学生物医学工程系, 光学生物成像实验室, 新加坡117576
Mads Sylvest Bergholt:新加坡国立大学生物医学工程系, 光学生物成像实验室, 新加坡117576
Arnold Julian Vinoj Benjamin:新加坡国立大学生物医学工程系, 光学生物成像实验室, 新加坡117576
洪添胜:南方农业机械与装备关键技术重点实验室, 广东 广州510642华南农业大学工程学院, 广东 广州510642
Zhiwei Huang:新加坡国立大学生物医学工程系, 光学生物成像实验室, 新加坡117576

联系人作者:代芬(sunflower@scau.edu.cn)

备注:代芬, 女, 1978年生, 华南农业大学工程学院博士研究生

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引用该论文

DAI Fen,Mads Sylvest Bergholt,Arnold Julian Vinoj Benjamin,HONG Tian-sheng,Zhiwei Huang. Rapid Identification of Potato Cultivars Using NIR-Excited Fluorescence and Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2014, 34(3): 677-680

代芬,Mads Sylvest Bergholt,Arnold Julian Vinoj Benjamin,洪添胜,Zhiwei Huang. 近红外激发荧光光谱与拉曼光谱快速鉴别马铃薯品种[J]. 光谱学与光谱分析, 2014, 34(3): 677-680

被引情况

【1】黄嘉荣,伍博迪,詹求强. 基于拉曼光谱和化学计量学方法判别大米分类的研究. 激光生物学报, 2015, 24(3): 237-241

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