摘要
目的:利用近红外漫反射无损检测技术对赣南脐橙可溶性固形物和总酸含量进行相关研究。方法:通过自行设计的NIR光谱系统测定150个赣南脐橙可溶性固形物和总酸。120个赣南脐橙样品用来建模,其余30个用来验证模型的性能。采集完整赣南脐橙的近红外漫反射光谱(350~1800nm),光谱经移动窗口平滑处理、一阶微分和二阶微分预处理后,再分别采用主成分回归(PCR)和偏最小二乘法(PLS),建立赣南脐橙可溶性固形物和总酸含量的定量预测数学模型。结果:采用一阶微分结合偏最小二乘法所建模型的预测效果较好,可溶性固形物和总酸含量定量预测数学模型的相关系数分别为0.9263和0.9562,均方根误差分别为0.4102°Brix和0.018%。结论:近红外漫反射光谱作为一种无损的检测方法,可用于评价赣南脐橙的可溶性固形物和总酸含量。
Objective:To investigate the determination of soluble solids and total acidity in Gannan navel orange by using near infrared(NIR) diffuse reflection spectroscopy.Methods:NIR spectroscopy was used to determine the contents of soluble solids and total acidity in 150 Gannan navel oranges,including 120 navel oranges for model establishment and 30 navel oranges for model validation.The NIR spectra ranged at 350-1800 nm of navel oranges were collected.After the moving of the spectra,the first-order differential D1log(1/R) and the second-order differential D2log(1/R) pre-treatments were used to process.Principal component regression(PCR) and partial least square(PLS) regression were used to establish a mathematical prediction model.Results:The PLS model with D1log(1/R) data treatment could exhibit better prediction efficiency.The correlation coefficients of soluble solids and total acidity using this prediction model were 0.9263 and 0.9562 and the root mean standard errors of soluble solids and total acidity were 0.4102 °Brix and 0.018%,respectively.Conclusion:NIR spectroscopy can provide an accurate,reliable and nondestructive method for evaluating internal quality index through soluble solids and total acidity of Gannan navel orange.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2011年第6期151-154,共4页
Food Science
基金
"十一五"国家科技支撑计划项目(2008BAD96B04)
江西省农业科技支撑计划项目(2009BHC003002010BNB01200)
江西省青年科学基金项目(2009GQS0012)
江西省教育厅青年科学基金项目(GJJ10139)
关键词
近红外漫反射
无损检测
赣南脐橙
可溶性固形物
总酸
near infrared diffuse reflection spectroscopy
non-destructive determination
Gannan navel orange
soluble solid content
total acidity