近红外光谱法快速检测花生籽仁主要品质指标定量模型的研究  

A quantitative model for rapid detection of main quality indicators of peanut kernels using near-infrared spectroscopy

作　　者：赵星[1,2] 孟小莽 范文萱 李玉荣[1] 宋亚辉[1] 王瑾[1] ZHAO Xing;MENG Xiaomang;FAN Wenxuan;LI Yurong;SONG Yahui;WANG Jin(Institute of Cereal and Oil Crops/Hebei Key Laboratory of Crop Genetics and Breeding,Hebei Academy of Agricultural and Forestry Sciences,Shijiazhuang 050035,China;College of Chemical Engineering,Shijiazhuang University,Shijiazhuang 050035,China;Shijiazhuang Seed Management Station,Shijiazhuang 050051,China)

机构地区：[1]河北省农林科学院粮油作物研究所/河北省作物遗传育种重点实验室,河北石家庄050035 [2]石家庄学院化工学院,河北石家庄050035 [3]石家庄市种子管理站,河北石家庄050051

出　　处：《河北农业大学学报》2024年第3期25-30,65,共7页Journal of Hebei Agricultural University

基　　金：花生现代种业科技创新团队(21326316D);河北省农林科学院现代农业科技创新工程项目(2022KJCXZX-LYS-11);河北省高层次人才资助项目(B2023003045);河北省高等教育科学技术研究项目(QN2021314).

摘　　要：建立花生籽仁粗蛋白、粗脂肪、油酸、亚油酸含量的近红外光谱快速测定方法。利用波通DA7200型近红外分析仪采集近红外光谱,采用凯氏定氮法、索氏提取法分别测定粗蛋白、粗脂肪的含量,采用气相色谱法测定油酸、亚油酸的相对含量,采用偏最小二乘法,构建花生籽仁主要品质指标含量的近红外预测模型。结果表明,模型对花生籽仁粗蛋白、粗脂肪、油酸、亚油酸含量的决定系数分为0.9270、0.9647、0.9915、0.9915,均方根误差分别为0.8702、0.5631、1.6671、1.4040。经外部验证,独立测试集决定系数分别为0.9608、0.9460、0.9605、0.9492。该模型对花生籽仁粗蛋白、粗脂肪、油酸、亚油酸含量的预测准确,可实现花生籽仁主要品质指标的快速、无损测定,提升高品质花生新品种的育种效率。A rapid near-infrared spectroscopy method was established for determination of crude protein,crude fat,oleic acid,and linoleic acid content in peanut kernels.Near infrared spectra of the kernels were collected using a DA7200 near-infrared analyzer.The content of crude protein and crude fat were determined using Kjeldahl nitrogen determination method and Soxhlet extraction method,respectively.The relative content of oleic acid and linoleic acid was determined using gas chromatography.Partial least squares method was used to construct a near-infrared prediction model for the main quality indicators of peanut kernels.The results showed that the determination coefficients of the model for crude protein,crude fat,oleic acid,and linoleic acid content in peanut kernels were 0.9270,0.9647,0.9915,and 0.9915 with root mean square errors as 0.8702,0.5631,1.6671,and 1.4040,respectively.After external verification,the determination coefficients of the independent test set were 0.9608,0.9460,0.9605,and 0.9492,respectively.This model accurately predicted the content of crude protein,crude fat,oleic acid,and linoleic acid in peanut kernels,and achieved rapid and non-destructive determination of the main quality indicators of peanut kernels,which is helpful for improvement of breeding efficiency of high-quality peanut varieties.

关 键 词：花生 近红外 粗蛋白 粗脂肪 油酸 

分 类 号：S565.2[农业科学—作物学]