Plant oil classifying method based on combination of GC-MS technology and PSO-SVM algorithm

• Main Author: QI GUANQING
• Format: Patent
• Language: Chinese; English
• Published: 13.07.2016
• Subjects: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention provides a plant oil classifying method based on combination of a GC-MS technology and a PSO-SVM algorithm. The method comprises the following steps: using the GC-MS technology to obtain the qualitative and quantified results of fatty acids in six different kinds of plant oils and establish the fatty acid fingerprint database of the plant oils; adopting the POS optimal parameter-based SVM classification algorithm to classify samples and establish a PSO-SVM model; and substituting data to the PSO-SVM model, and determining the class of the samples according to a calculation result. The classifying method has the advantages of simple pretreatment operation, high sensitivity and high accuracy. 本发明提出了种基于气GC-MS技术结合PSO-SVM算法的植物油分类方法。利用GC-MS技术得到六种不同种类植物油脂中脂肪酸的定性和定量结果，建立了植物油的脂肪酸指纹图谱库。采用基于PSO最优参数的SVM分类算法对样本进行分类，建立PSO-SVM模型。将数据代入PSO-SVM模型，根据计算结果判断样品的类别，本分类方法前处理操作简单，灵敏度高，准确率高。