• ISSN 1008-505X
  • CN 11-3996/S
杜昌文. 现代光谱技术在植物营养品质分析中的应用[J]. 植物营养与肥料学报, 2017, 23(6): 1659-1669. DOI: 10.11674/zwyf.17281
引用本文: 杜昌文. 现代光谱技术在植物营养品质分析中的应用[J]. 植物营养与肥料学报, 2017, 23(6): 1659-1669. DOI: 10.11674/zwyf.17281
DU Chang-wen. Application of modern spectroscopic technologies in the analysis of plant nutritional quality[J]. Journal of Plant Nutrition and Fertilizers, 2017, 23(6): 1659-1669. DOI: 10.11674/zwyf.17281
Citation: DU Chang-wen. Application of modern spectroscopic technologies in the analysis of plant nutritional quality[J]. Journal of Plant Nutrition and Fertilizers, 2017, 23(6): 1659-1669. DOI: 10.11674/zwyf.17281

现代光谱技术在植物营养品质分析中的应用

Application of modern spectroscopic technologies in the analysis of plant nutritional quality

  • 摘要: 目前,我国的粮食安全由总量保障优先迈入到总量保障和营养品质安全并重的发展阶段,因此植物营养品质分析是迫切的社会需求。常规的植物营养品质分析主要是基于实验室的化学分析,成本高、耗时长和人力密集,与海量快速的植物营养品质信息需求不相适应,而现代光谱技术 (spectroscopic technology) 为海量植物营养品质信息的需求提供新的技术支撑。目前广泛应用的光谱技术主要是分子光谱 (molecular spectroscopy),包括紫外可见光谱、红外光谱、荧光光谱和拉曼光谱,这些光谱在粮食作物、蔬菜、水果以及中药材等经济作物的营养品质分析中开始发挥越来越大的作用,并能将传统的主观性较强的感观品质常数客观化。随着光谱技术的发展,以光声效应 (photoacoustic effect) 为理论基础的红外光声光谱,以及以激光诱导击穿 (laser induced breakdown) 为技术基础的现代原子光谱 (atomic spectroscopy) 开始应用于植物营养品质分析,并展现了广阔的应用潜力。以上光谱分析应用依赖于现代多元校正的化学计量学方法 (chemometrics) 和计算机技术,结合植物营养专业知识,利用现代的互联网和云技术平台以及智能终端,植物营养品质信息的适时快速常规化获取将成为现代农业的重要发展方向。

     

    Abstract: In current stage food security has been considering both the total food amount and the food quality instead of formally mainly considering the total food amount, therefore, the society pay more attention to the analysis of food quality. The conventional plant nutritional analysis was laboratory-based chemical analysis, which was time- and cost-consuming as well as high labor intensity. Thus, the routine methods are difficult to meet the requirement of mass plant nutritional information deprived from food quality. Correspondingly, spectroscopic methods, including ultraviolet, visible, infrared, fluorescence and Raman etc., have been widely used for in situ rapid obtaining of food quality parameters in a large variety of plants including crops, vegetable and fruit as well as some Chinese medicine plants. Furthermore, some subjective sensory properties can be characterized by spectroscopic methods in a more objective way. Infrared photoacoustic spectroscopy and laser induced breakdown spectroscopy have been applied in various fields, and demonstrated great potential in plant nutritional analysis. Multivariate calibration and validation were needed since spectral analysis involved numerous data points, which were well supported by chemometrical methods and computer technology, and highlights will focused on the in situ rapid obtaining of food quality parameters based on plant nutrition knowledge combining the platforms of internet and cloud technology as well as intelligent terminals.

     

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