郑晓春,李永玉,彭彦昆,王文秀,王凡,杨宇.基于可见/近红外光谱的牛肉品质无损检测系统改进[J].农业机械学报,2016,47(s1):332-339.
Zheng Xiaochun,Li Yongyu,Peng Yankun,Wang Wenxiu,Wang Fan,Yang Yu.[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(s1):332-339.
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基于可见/近红外光谱的牛肉品质无损检测系统改进   [下载全文]
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投稿时间:2016-07-20  
DOI:10.6041/j.issn.1000-1298.2016.S0.051
中文关键词:  牛肉  可见/近红外光谱  无损检测  环形探头  双波段
基金项目:国家重点研发计划项目(2016YFD0401205)和公益性行业(农业)科研专项(201003008)
作者单位
郑晓春 中国农业大学
国家农产品加工技术装备研发分中心 
李永玉 中国农业大学
国家农产品加工技术装备研发分中心 
彭彦昆 中国农业大学
国家农产品加工技术装备研发分中心 
王文秀 中国农业大学
国家农产品加工技术装备研发分中心 
王凡 中国农业大学
国家农产品加工技术装备研发分中心 
杨宇 中国农业大学
国家农产品加工技术装备研发分中心 
中文摘要:含水率、颜色和pH值是牛肉的重要品质指标,近年来可见/近红外光谱因其成本低、快速无损等特点被广泛应用于肉品检测中。针对现有探头采集样品面积过小、代表性差等问题,利用高效的环形光源对双通道可见/近红外光谱系统进行改进,建立了一种高效、稳定的双通道可见近红外光谱系统。首先,基于多次采集生鲜牛肉样品获得400~2450nm波段的有效光谱数据,对改进前反射探头和环形探头的性能进行了对比分析,发现环形探头的稳定性更有优势,在整个波段的变异系数均小于10%。然后利用改进后探头组成的系统采集了61块生鲜牛肉样品的可见/近红外光谱数据。采用了无处理、SG平滑、哈尔变换、一阶导数、二阶导数、标准正态变换、多元散射校正、去趋势化以及各方法组合等方法对光谱数据进行预处理。利用第1波段数据建立颜色参数L*、 a* 、b*的偏最小二乘模型,分别利用第1波段数据、第2波段数据和双波段数据(双波段简单拼接)建立含水率和pH值的PLSR模型并进行了对比。结果发现:第1波段的数据无需经过预处理,即可对颜色参数L*、 a* 、b*取得较好的预测结果,其PLSR模型验证集相关系数和标准误差分别为0.9603、0.9616、0.9367和1.3332、1.1844、0.6553;对于含水率和pH值,无论光谱数据是否经过预处理,第1波段数据的建模效果要好于第2波段数据,但是经过预处理的双波段数据(400~2450nm波段)能够取得更好的预测结果,其PLSR模型验证集相关系数和标准误差分别为0.9541、0.8716和0.5475、0.1272。结果证明,基于高效环形探头的双通道可见近红外光谱系统建立的牛肉多品质参数预测模型,可实现准确、无损、快速检测,获得比较稳定的检测结果。
Zheng Xiaochun  Li Yongyu  Peng Yankun  Wang Wenxiu  Wang Fan  Yang Yu
China Agricultural University; National R&D Center for Agro-processing Equipment,China Agricultural University; National R&D Center for Agro-processing Equipment,China Agricultural University; National R&D Center for Agro-processing Equipment,China Agricultural University; National R&D Center for Agro-processing Equipment,China Agricultural University; National R&D Center for Agro-processing Equipment and China Agricultural University; National R&D Center for Agro-processing Equipment
Key Words:beef  visible/near infrared spectra  nondestructive detection  ring probe  double wavelength
Abstract:Moisture content, color and pH value are important quality indexes of beef. Visible and near infrared spectra (NIR) is widely used in meat in recent years due to characteristics such as low cost, rapid and nondestructive. In order to solve the too small of the acquisition area and the poor representation of the spectra obtained by previous detection probe, an efficient ring light source was applied in this study to form a high efficient and stable wide band visible near infrared system. Firstly, the effective spectral data of 400~2450nm were obtained based on the multiple acquisition of fresh beef samples to prepare and analyze the performance of the previous probe and the ring probe, and the result proved that the ring probe had more advantages in stability of which the variation coefficient were less than 10%. Then the spectra of two wavelengths from 61 pieces of beef samples were acquired by the improved system. With no treatment, Savitzky-Golay (S-G), Haar transformation (HT), first derivative (1D), second order derivative (2D), standard normalized variate (SNV), multiplication scatter correction (MSC), detrend (DE) and the combination methods were chosen to pretreat the spectra. The partial least square regression (PLSR) models of color parameters L*, a* and b* of beef were built by the spectra of 400~1050nm, and the models of pH value and moisture content were built with spectra of first wavelength, the second wavelength and the double of wavelength. The result showed that the good PLSR models can be achieve by the spectra of first wavelength without any pretreatment, of which the correlation coefficient of validation set were 0.9603, 0.9616, 0.9367, respectively, and the standard error were 1.3332, 1.1844, 0.6553. And the first wavelength of spectra got better results than the second wavelength, both of which cannot do better than wide band spectra with some pretreatment methods. The correlation coefficients of validation set of water content were 0..9541 and 0.8716, the standard errors were 0.5475 and 0.1272, respectively. The results demonstrated that the prediction model established by the wide band visible near infrared spectrum based on the high efficiency ring probe can realize the accurate and nondestructive testing of the beef quality parameters, and obtain the stable detection results.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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