【摘要】：模擬花生牛奶生產(chǎn)工藝制備不同含量的花生牛奶,使用近紅外光譜儀掃描建立定量分析模型,探索近紅外光譜應(yīng)用于花生奶定量分析的可行性。結(jié)果表明,花生牛奶使用PLS建模方法可以有效地對(duì)光散射、花生與奶粉之間的干擾做出補(bǔ)償,適合用于花生牛奶復(fù)雜成分體系的分析;花生定量分析模型校正均方差(root-mean-square error of calibration,RMSEC)、預(yù)測(cè)均方差(root-mean-square error of predication,RMSEP)、相關(guān)系數(shù)R分別為0.573%、3.73%、0.999 7;奶粉定量分析模型RMSEC、RMSEP、R分別為0.066、0.183 g/L、0.955 7。近紅外光譜可以應(yīng)用于花生牛奶的定量分析,可以為花生牛奶提供產(chǎn)品質(zhì)量控制和快速定量檢測(cè),為植物蛋白飲料提供一種新的檢測(cè)思路。模型優(yōu)化改進(jìn)有待進(jìn)一步研究。
[Abstract]:The different contents of peanut milk were prepared by simulating the production process of peanut milk. The quantitative analysis model was established by using near infrared spectrometer scanning, and the feasibility of applying near infrared spectroscopy to quantitative analysis of peanut milk was explored. The results showed that the PLS modeling method could effectively compensate the interference between peanut and milk powder, which was suitable for the analysis of the complex composition system of peanut milk. The calibration mean square deviation (root-mean-square error of calibration,RMSEC) and the predicted mean variance (root-mean-square error of predication,RMSEP) of the peanut quantitative analysis model were 0.573%, 3.73%, 0.999 7, and the correlation coefficients were 0.573%, 3.73% and 0.999 7, respectively. The RMSEC,RMSEP,R of quantitative analysis model of milk powder was 0.066, 0.183 g / L, 0.955 7, respectively. Near infrared spectroscopy (NIR) can be applied to quantitative analysis of peanut milk. It can provide product quality control and rapid quantitative detection for peanut milk and provide a new way to detect vegetable protein beverage. The optimization of the model needs to be further studied.
【作者單位】： 山東理工大學(xué)生命科學(xué)學(xué)院;山東理工大學(xué)分析測(cè)試中心;
【基金】：國(guó)家自然科學(xué)基金面上項(xiàng)目(31071538) 山東省自然科學(xué)基金重點(diǎn)項(xiàng)目(ZR2013FB001) 山東省大型科學(xué)儀器升級(jí)改造項(xiàng)目(2011SJGZ10)
【分類(lèi)號(hào)】：O657.33;TS275.4
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本文編號(hào)：2431978