分析化学
分析化學
분석화학
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
2010年
3期
342-346
,共5页
谢军%潘涛%陈洁梅%陈华舟%任小焕
謝軍%潘濤%陳潔梅%陳華舟%任小煥
사군%반도%진길매%진화주%임소환
血糖%近红外光谱%偏最小二乘法%Savitzky-Golay平滑%校正集验证集划分
血糖%近紅外光譜%偏最小二乘法%Savitzky-Golay平滑%校正集驗證集劃分
혈당%근홍외광보%편최소이승법%Savitzky-Golay평활%교정집험증집화분
Serum glucose%Near-infrared spectroscopy%Partial least squares%Savitzky-Golay smoothing%Dividing calibration set and prediction set
利用偏最小二乘法(PLS)和光谱Savitzky-Golay(SG)平滑方法,建立血清葡萄糖近红外光谱分析的优化模型.基于最优单波数模型的预测效果,提出划分校正集和验证集的一种新方法.采用10000~5300 cm~(-1)和4920~4160 cm~(-1)的组合波段,光谱经过SG平滑处理,利用PLS方法建立定标预测模型.将平滑点数扩充为5,7,…,87(奇数),多项式次数扩充为n=2,3,4,5,6,得到包含582个平滑模式的14个平滑系数表.对所有平滑模式和PLS因子数(1~40)分别建立PLS模型.按照预测效果进行优选,得到最优SG平滑模式为1阶导数平滑,3、4次多项式类型,SG平滑点数为53,最优PLS因子数为7,最优RMSEP达到0.376 mmol/L.所采用的划分校正集和验证集的方法、SG平滑模式的扩充、SG平滑模式和PLS因子数的联合大范围筛选能够有效地应用于近红外光谱分析的模型优化.
利用偏最小二乘法(PLS)和光譜Savitzky-Golay(SG)平滑方法,建立血清葡萄糖近紅外光譜分析的優化模型.基于最優單波數模型的預測效果,提齣劃分校正集和驗證集的一種新方法.採用10000~5300 cm~(-1)和4920~4160 cm~(-1)的組閤波段,光譜經過SG平滑處理,利用PLS方法建立定標預測模型.將平滑點數擴充為5,7,…,87(奇數),多項式次數擴充為n=2,3,4,5,6,得到包含582箇平滑模式的14箇平滑繫數錶.對所有平滑模式和PLS因子數(1~40)分彆建立PLS模型.按照預測效果進行優選,得到最優SG平滑模式為1階導數平滑,3、4次多項式類型,SG平滑點數為53,最優PLS因子數為7,最優RMSEP達到0.376 mmol/L.所採用的劃分校正集和驗證集的方法、SG平滑模式的擴充、SG平滑模式和PLS因子數的聯閤大範圍篩選能夠有效地應用于近紅外光譜分析的模型優化.
이용편최소이승법(PLS)화광보Savitzky-Golay(SG)평활방법,건립혈청포도당근홍외광보분석적우화모형.기우최우단파수모형적예측효과,제출화분교정집화험증집적일충신방법.채용10000~5300 cm~(-1)화4920~4160 cm~(-1)적조합파단,광보경과SG평활처리,이용PLS방법건립정표예측모형.장평활점수확충위5,7,…,87(기수),다항식차수확충위n=2,3,4,5,6,득도포함582개평활모식적14개평활계수표.대소유평활모식화PLS인자수(1~40)분별건립PLS모형.안조예측효과진행우선,득도최우SG평활모식위1계도수평활,3、4차다항식류형,SG평활점수위53,최우PLS인자수위7,최우RMSEP체도0.376 mmol/L.소채용적화분교정집화험증집적방법、SG평활모식적확충、SG평활모식화PLS인자수적연합대범위사선능구유효지응용우근홍외광보분석적모형우화.
The optimal model for the near-infrared spectroscopic analysis of serum glucose was established by partial least squares(PLS) and Savitzky-Golay(SG) smoothing method. Based on the prediction effect of the optimal single wave number model, a new dividing method for calibration set and prediction set was given. The calibration and prediction models were established by PLS method adopting the combination bands of 10000-5300 cm~(-1) and 4920-4160 cm~(-1) with Savitizky-Golay(SG) smoothing. By extending the number of smoothing points to 5, 7, ..., 87(odd) and polynomial degree to 2, 3, 4, 5, 6, fourteen smooth coefficient tables including 582 smooth modes were calculated. All PLS models corresponding to all smooth modes and all PLS factors(1-40) were constructed. The optimal model was selected by the prediction effect. And the derivation order was 1, the polynomial degree was 3 or 4, the number of smoothing points was 53, the optimal factor was 7 and the optimal RMSEP reach 0.376 mmol/L. The dividing method for calibration set and prediction set, the extending of SG smoothing modes, large-scale optimization combining SG smoothing modes and PLS factors can be effectively applied for the model optimization of near-infrared spectroscopic analysis.