| 近红外光谱分析技术在苹果品质检测中的应用进展 |
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| 引用本文： | 王世芳,崔广禄,冯晓元,韩 平.近红外光谱分析技术在苹果品质检测中的应用进展[J].食品安全质量检测技术,2017,8(12):4602-4608. |
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| 作者姓名： | 王世芳 崔广禄 冯晓元 韩 平 |
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| 作者单位： | 北京农业质量标准与检测技术研究中心, 农业部农产品质量安全风险评估实验室(北京),北京市大兴区农业技术推广站,北京农业质量标准与检测技术研究中心, 农业部农产品质量安全风险评估实验室(北京),北京农业质量标准与检测技术研究中心, 农业部农产品质量安全风险评估实验室(北京) |
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| 基金项目： | 北京市农林科学院所级科技创新团队建设项目(JNKST201620) |
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| 摘 要： | 苹果营养丰富,是大众水果之一,苹果的品质安全问题一直是社会关注的热点。本研究综述了2012~2016年我国近红外光谱分析技术在苹果品质检测中的研究和应用进展,包括基于近红外光谱的苹果品质检测、模型传递、分类与分级及在线检测系统研制4个方面。对今后我国近红外光谱分析技术在苹果品质检测中的应用提出建议,技术研究方面应不断建立和维护模型数据库,提高模型通用性;技术应用方面应研制在线检测系统和推进软硬件+互联网相结合,使近红外光谱分析技术在苹果品质检测中得到长足的发展。
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| 关 键 词： | 近红外光谱 苹果 品质检测 应用进展 |
| 收稿时间： | 2017/10/13 0:00:00 |
| 修稿时间： | 2017/12/4 0:00:00 |
Application progress of near infrared spectroscopy analysis technology for apple quality detection |
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| WANG Shi-Fang,CUI Guang-Lu,FENG Xiao-Yuan and HAN Ping.Application progress of near infrared spectroscopy analysis technology for apple quality detection[J].Food Safety and Quality Detection Technology,2017,8(12):4602-4608. |
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| Authors: | WANG Shi-Fang CUI Guang-Lu FENG Xiao-Yuan and HAN Ping |
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| Affiliation: | Beijing Research Center for Agriculture Standards and Testing, Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture,Agricultural Technology Extension Station of Daxing District (Beijing),Beijing Research Center for Agriculture Standards and Testing, Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture and Beijing Research Center for Agriculture Standards and Testing, Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture |
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| Abstract: | Apple is rich in nutrition and is one of the most popular fruits. The quality and safety of apple has always been a hot topic in the society. This study summarized research and application progress of apple quality detection with the near infrared spectroscopy analysis technology in China from 2012 to 2016, including 4 aspects: the apple quality detection, model transfer, classification and development of online detection system based on near-infrared spectroscopy, and gave 2 suggestions on the application of near infrared spectroscopy for the detection of the apple qualities: the technical research should constantly establish and maintain the model database and improve the universality of the model. In terms of the application of technology, the online detection system should be developed and the combination of hardware and software+internet should be promoted, so that the near infrared spectroscopy analysis technology can be developed greatly in the apple quality testing. |
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| Keywords: | near infrared spectroscopy apple quality detection application progress |
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