红外光谱快速测定油茶籽油脂肪酸组成的模型建立Establishment of rapid detection model of fatty acid composition of oil-tea camellia seed oil by infrared spectroscopy

通过气相色谱和傅里叶红外光谱仪测定86个油茶籽油样本的脂肪酸组成和红外光谱图，采用支持向量机（SVM）和BP人工神经网络（ANN）的非线性建模方法，构建油茶籽油中主要脂肪酸的定量回归模型。结果表明：ANN建立的油酸和棕榈酸定量回归模型精确度比SVM高，校正集的相关系数（R）分别为0.998 7和0.945 1，预测集的相关系数分别为0.955 7和0.926 2，相对标准偏差分别小于1%和5%；SVM和ANN建立的亚油酸定量分析模型精确度都非常高，相对标准偏差均小于1%。说明红外光谱用于油茶籽油中主要脂肪酸的快速检测是完全可行的。 The fatty acid composition and...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Zhongguo youzhi
المؤلف الرئيسي:	吴雪辉1,2，何俊华1，王泽富1 WU Xuehui1,2, HE Junhua1, WANG Zefu1
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	中粮工科（西安）国际工程有限公司 2022-02-01
الموضوعات:	油茶籽油；脂肪酸组成；红外光谱；支持向量机；人工神经网络；模型 oil-tea camellia seed oil; fatty acid composition; infrared spectroscopy; support vector machine; artificial neural network; model
الوصول للمادة أونلاين:	http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20220222&year_id=2022&quarter_id=2&falg=1

مواد مشابهة

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