光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
3期
741-745
,共5页
宋育霖%彭彦昆%郭辉%张雷蕾%赵娟
宋育霖%彭彥昆%郭輝%張雷蕾%趙娟
송육림%팽언곤%곽휘%장뢰뢰%조연
生鲜猪肉%光学扩散特征%高光谱%细菌总数%Lorentz%Gompertz
生鮮豬肉%光學擴散特徵%高光譜%細菌總數%Lorentz%Gompertz
생선저육%광학확산특정%고광보%세균총수%Lorentz%Gompertz
Fresh Pork%Hyperspectral image%Bacteria total viable counts%Lorentz fitting%Gompertz fitting
细菌总数是生鲜肉的最主要安全参数之一,肉品的光学扩散特征反映其细菌总数。对高光谱扩散数据利用不同的拟合算法处理与分析,并比对生鲜猪肉细菌总数建模的相关性差异,确定了用于最终建模的最佳扩散特征参数,为后续的装置开发提供建模依据。冰箱调至4℃恒温,在里面放置63个分割好的猪肉样品,每天间隔固定时间从里面随机取出4~5块样品,获取猪肉表面的400~1100 nm波长范围内高光谱散射图像,从高光谱图像中提取猪肉的扩散光谱曲线,利用Lorentz函数和Gompertz函数以及修正后的函数,拟合处理与分析扩散数据,拟合后的不同参数可以代表样品的特征光谱,细菌总数的标准值用平板计数法获得,然后单独用各单个参数、多个参数结合的方式,多元线性回归的统计方法,与细菌总数分别建立模型。实验结果表明,Lorentz三参数结合,Lorentz四参数结合,Gompertz四参数拟合的模型相关系数较高,其校正集和预测集相关系数分别为0.93,0.96,0.96和0.90,0.90,0.92,标准偏差分别为0.47,0.44,0.39和0.56,0.46,0.42,其中,相关性最好的是Gompertz四参数结合,在装置的开发中可以优选相关性和稳定性最好的模型导入装置系统中。
細菌總數是生鮮肉的最主要安全參數之一,肉品的光學擴散特徵反映其細菌總數。對高光譜擴散數據利用不同的擬閤算法處理與分析,併比對生鮮豬肉細菌總數建模的相關性差異,確定瞭用于最終建模的最佳擴散特徵參數,為後續的裝置開髮提供建模依據。冰箱調至4℃恆溫,在裏麵放置63箇分割好的豬肉樣品,每天間隔固定時間從裏麵隨機取齣4~5塊樣品,穫取豬肉錶麵的400~1100 nm波長範圍內高光譜散射圖像,從高光譜圖像中提取豬肉的擴散光譜麯線,利用Lorentz函數和Gompertz函數以及脩正後的函數,擬閤處理與分析擴散數據,擬閤後的不同參數可以代錶樣品的特徵光譜,細菌總數的標準值用平闆計數法穫得,然後單獨用各單箇參數、多箇參數結閤的方式,多元線性迴歸的統計方法,與細菌總數分彆建立模型。實驗結果錶明,Lorentz三參數結閤,Lorentz四參數結閤,Gompertz四參數擬閤的模型相關繫數較高,其校正集和預測集相關繫數分彆為0.93,0.96,0.96和0.90,0.90,0.92,標準偏差分彆為0.47,0.44,0.39和0.56,0.46,0.42,其中,相關性最好的是Gompertz四參數結閤,在裝置的開髮中可以優選相關性和穩定性最好的模型導入裝置繫統中。
세균총수시생선육적최주요안전삼수지일,육품적광학확산특정반영기세균총수。대고광보확산수거이용불동적의합산법처리여분석,병비대생선저육세균총수건모적상관성차이,학정료용우최종건모적최가확산특정삼수,위후속적장치개발제공건모의거。빙상조지4℃항온,재리면방치63개분할호적저육양품,매천간격고정시간종리면수궤취출4~5괴양품,획취저육표면적400~1100 nm파장범위내고광보산사도상,종고광보도상중제취저육적확산광보곡선,이용Lorentz함수화Gompertz함수이급수정후적함수,의합처리여분석확산수거,의합후적불동삼수가이대표양품적특정광보,세균총수적표준치용평판계수법획득,연후단독용각단개삼수、다개삼수결합적방식,다원선성회귀적통계방법,여세균총수분별건립모형。실험결과표명,Lorentz삼삼수결합,Lorentz사삼수결합,Gompertz사삼수의합적모형상관계수교고,기교정집화예측집상관계수분별위0.93,0.96,0.96화0.90,0.90,0.92,표준편차분별위0.47,0.44,0.39화0.56,0.46,0.42,기중,상관성최호적시Gompertz사삼수결합,재장치적개발중가이우선상관성화은정성최호적모형도입장치계통중。
The objective of this study is to develop a hyperspectral imaging system to predict the bacteria total viable count in fresh pork .The hyperspectral scattering data were curvefitted by different fitting methods ,and correlation differences of models were compared based on the bacteria total viable count of fresh pork ,thus providing modeling basis of device for future study . Total 63 fresh pork samples which was used in the experiment were stored at 4 ℃ in the refrigerator of constant temperature . Experiment was performed everyday for 15 days .4 or 5 random samples were used each day for the experiment .Hyperspectral scattering images and spectral scattering optical data in the wavelength region of 400 to 1 100 nm were acquired from the surface of all of the pork samples .Lorentz and Gompertz function and the modified function was applied to fit the scattering profiles of pork samples .Different parameters could be obtained by Lorentz and Gompertz fitting and the modified function fitting .The dif-ferent parameters could represent the optical characteristic of the scattering profiles .The standard values of the bacteria total vi-able count of pork were obtained by classical microbiological plating methods .Because the standard value of the bacteria total via-ble count was big ,log10 of the bacteria total viable count obtained by classical microbiological plating was used to simplify the calculation .Both individual parameters and integrated parameters were explored to develop the models .The multi-linear regres-sion statistical approach was used to establish the models for predicting pork the bacteria total viable count .Both Lorentz and Gompertz function and the modified function included three and four parameters formula .The results showed that correlation co-efficient of the models is higher with Lorentz three parameters combination ,Lorentz four parameters combination and Gompertz four parameters combination than the individual parameters and other two or three integrated parameters .The three models’ correction set and prediction set correlation coefficients were 0.93 ,0.96 ,0.96 and 0.90 ,0.90 ,0.92 ,and the corresponding standard deviation were 0.47 ,0.44 ,0.39 and 0.56 ,0.46 ,0.42 .Correlation was best with Gompertz four parameters .The de-vice system will select the best correlation and the best stability of the model as the final model .