摘要
为了实现对苹果贮藏室中气体3D荧光光谱特征信息的有效表征,提出一种基于小波包分解系数的荧光特征信息表征方法,在此基础上开展了腐败预警方法研究。首先利用三角形插值法和Savitzky-Golar卷积平滑对光谱数据进行预处理,以消除瑞利散射和环境噪声的影响。然后,将预处理后的3D荧光数据按激发波长从短到长顺序将其对应的发射光谱首尾相连转换成一维数据向量,并利用3层sym4小波包对该向量数据进行分解,提取低频系数集作为荧光特征信息;运用偏最小二乘对特征信息与6个理化指标进行进行分析,并对其分析结果进行聚类分析以确定出腐败基准。最后,运用马氏距离构建腐败预警模型。结果表明,用小波包分解系数表征荧光特征信息是有效的;同时,随着贮藏时间增加,预测的马氏距离逐渐变小,较好刻画了贮藏过程中苹果品质的变化趋势,进而可实现苹果贮藏过程中的腐败预警。
In order to effectively characterize the three-dimensional(3D)fluorescence spectrum of gas in apple storage room,a feature information representation method based on wavelet packet decomposition coefficient was proposed.On this basis,the research on apple spoilage early warning methods was carried out.Firstly,the triangular interpolation method and Savitzky-Golar(SG)convolution smoothing were used to preprocess the spectrum data to eliminate the influence of Rayleigh scattering and ambient noise on the original fluorescence spectrum.After preprocessing,the 3D fluorescence data was converted into one-dimensional(1D)data vector,and the converted method was the corresponding emission spectrum,which was smoothly connected end to end according to the order of excitation wavelength,the 1D vector was decomposed by 3-layer sym4 wavelet packet,and the low-frequency coefficient set after the wavelet packet decomposing was extracted as fluorescence characteristic information.Secondly,partial least squares(PLS)was used to analyze the characteristic information and six physico-chemical indexes,and spectral clustering analysis(SCA)was adopted to determine the spoilage benchmark based on the results of PLS.Finally,a spoilage early warning model was constructed by using Mahalanobis distance(MD).The results showed that the fluorescence characteristic information represented method of wavelet packet decomposition coefficient was effective.With the increase of storage days,the Mahalanobis distance of the sample to the spoilage benchmark was gradually decreased,which better described the change trend of apple quality during storage,and it could realize the early warning of apple spoilage during storage.
作者
于慧春
李迎
殷勇
袁云霞
李建盟
YU Huichun;LI Ying;YIN Yong;YUAN Yunxia;LI Jianmeng(College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China)
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2022年第5期392-399,共8页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家重点研发计划重点专项(2017YFC1600802)。
关键词
苹果
腐败预警
3D荧光特征信息
小波包分解
apple
spoilage warning
3D fluorescence characteristic information
wavelet packet decomposition
作者简介
于慧春(1977—),女,副教授,博士,主要从事农产品和食品品质检测技术研究,E-mail:yukin_le@126.com。
