光谱学与光谱分析, 2017, 37 (2): 423, 网络出版: 2017-06-20   

基于高光谱技术的覆盖保鲜膜菠菜货架期预测研究

Hyperspectral Technique for Estimating the Shelf-Lives of Fresh Spinach Leaves Covered with Film
作者单位
浙江大学生物系统工程与食品科学学院, 浙江 杭州 310058
摘要
保鲜膜能提高果蔬保水性, 隔绝外界细菌侵染, 延长货架期。 为了准确估测覆盖保鲜膜果蔬品质的优劣, 对其货架期进行预测具有重要意义。 应用高光谱技术结合化学计量学方法对同等贮藏条件下覆膜新鲜菠菜叶片的货架期进行了预测。 先采集五个不同贮藏时间下75盘共300片菠菜样本在可见-近红外(Vis-NIR, 380~1 030 nm)与近红外(NIR, 874~1 734 nm)波段的高光谱数据, 然后测定不同贮藏时间下菠菜叶片叶绿素含量。 提取300片覆膜菠菜叶片的平均光谱(200个为建模集, 100个为预测集)后, 对建模集光谱进行主成分分析(principal component analysis, PCA), 发现不同贮藏期内叶片光谱数据在前3个主成分空间有一定的聚类。 根据建模集光谱信息与预先赋予的不同贮藏期虚拟等级分别建立偏最小二乘判别分析(partial least squares discriminant analysis, PLS-DA)模型, 得到预测集样本的贮藏期总的判别准确率分别为83%(Vis-NIR)和81%(NIR)。 表明, 高光谱技术结合化学计量学方法能够实现对新鲜菠菜货架期的分类和预测, 为消费者正确评价覆盖保鲜膜的菠菜品质提供了理论指导, 也为后期果蔬货架期检测仪器的开发提供了技术支持。
Abstract
In order to prolong the shelf-life of fruits and vegetables, plastic films have been covered on them to improve water retention and keep external bacteria away. It is of great significance to estimate the quality of packaged fruits and vegetables accurately by predicting the shelf-life of them. In this research, hyperspectral technology combined with chemometric methods were employed to estimate the shelf-life of fresh spinach leaves in the same environment. Hyperspectral data covering the range of Vis-NIR (380~1 030 nm) and NIR (874~1 734 nm) were acquired from 300 spinach leaves (75 dishs) which were stored in 4 ℃ among 5 periods (0 d, 2 d, 4 d, 6 d, 8 d). Meanwhile, the chlorophyll contents of all spinach leaves were determined. The mean spectra of 300 spinach leaves (200 leaves in training set and 100 leaves in prediction set) were extracted. And then, principal component analysis (PCA) on the training set of 200 spectra from 5 periods of shelf-life displayed apparent cluster. Partial least-squares discriminant analysis (PLS-DA) models were established according to spectral datas and the virtual levels that we ascribed to the different storage periods previously. The total discriminant accuracy rates of prediction set were 83% (VIS-NIR) and 81% (NIR), respectively. The result indicated that the classification and prediction on the shelf-life of fresh spinach can be realized with hyperspectral technology combined with chemometric methods, which offered a theoretical guidance to evaluate the quality of packaged spinach for consumers, and provided technical supports for the development of instruments used for testing the shelf-life of fruits and vegetables in further study.

周莉萍, 赵艳茹, 余克强, 何勇, 方慧, 叶旭君. 基于高光谱技术的覆盖保鲜膜菠菜货架期预测研究[J]. 光谱学与光谱分析, 2017, 37(2): 423. ZHOU Li-ping, ZHAO Yan-ru, YU Ke-qiang, HE Yong, FANG Hui, YE Xu-jun. Hyperspectral Technique for Estimating the Shelf-Lives of Fresh Spinach Leaves Covered with Film[J]. Spectroscopy and Spectral Analysis, 2017, 37(2): 423.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!