近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy
为了简便、快速、准确地测定米糠油中的谷维素含量，以LS/T 6121.2—2017的高效液相色谱法为测定米糠油中谷维素含量的参比方法，采用近红外光谱分析技术结合偏最小二乘法建立了米糠油中谷维素含量的定量分析模型。结果表明：所建定量分析模型的决定系数为99.81%，预测标准差为0.028 49%,交叉验证标准差为0.031 13%；利用99个验证集样品对定量分析模型进行外部独立验证,预测决定系数为99.81%,预测标准差为0.030 90%，用该定量分析模型检测样品绝对误差在-0.081%~0.057%之间，相对误差在-11.86%~9.84%之间。所建立的定量分析模型预测效果较好，准确度较高，...
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| Format: | Article |
| Language: | English |
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中粮工科（西安）国际工程有限公司
2022-12-01
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| Series: | Zhongguo youzhi |
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| Online Access: | http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20221219&year_id=2022&quarter_id=12&falg=1 |
| _version_ | 1797777515028152320 |
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| author | 彭志兵1,熊小辉1，郁露2，张晨1，胡春1 PENG Zhibing1,XIONG Xiaohui1,YU Lu2,ZHANG Chen1,HU Chun1 |
| author_facet | 彭志兵1,熊小辉1，郁露2，张晨1，胡春1 PENG Zhibing1,XIONG Xiaohui1,YU Lu2,ZHANG Chen1,HU Chun1 |
| author_sort | 彭志兵1,熊小辉1，郁露2，张晨1，胡春1 PENG Zhibing1,XIONG Xiaohui1,YU Lu2,ZHANG Chen1,HU Chun1 |
| collection | DOAJ |
| description | 为了简便、快速、准确地测定米糠油中的谷维素含量，以LS/T 6121.2—2017的高效液相色谱法为测定米糠油中谷维素含量的参比方法，采用近红外光谱分析技术结合偏最小二乘法建立了米糠油中谷维素含量的定量分析模型。结果表明：所建定量分析模型的决定系数为99.81%，预测标准差为0.028 49%,交叉验证标准差为0.031 13%；利用99个验证集样品对定量分析模型进行外部独立验证,预测决定系数为99.81%,预测标准差为0.030 90%，用该定量分析模型检测样品绝对误差在-0.081%~0.057%之间，相对误差在-11.86%~9.84%之间。所建立的定量分析模型预测效果较好，准确度较高，可用于米糠油中谷维素含量的测定。
In order to determine the oryzanol content in rice bran oil with a simple, rapid and accurate manner, a quantitative analysis model of near-infrared spectroscopy combined with partial least squares method for the determination of oryzanol content in rice bran oil was established by using the high performance liquid chromatography method of LS/T 6121.2-2017 as the reference method. The results showed that the coefficient of deterination of quantitative analysis model established was 99.81%, the standard deviation of prediction was 0.028 49%, and the standard deviation of cross validation was 0.031 13%. The total of 99 samples were used to the external independent verification of the quantitative analysis model, and the coefficient of deterination of prediction was 99.81%, the standard deviation of prediction was 0.030 90%, the absolute error was in the range of -0.081%-0.057%, relative error was in the range of -11.86%-9.84%. The established quantitative analysis model has good prediction effect and high accuracy, and can be used for the determination of oryzanol content in rice bran oil. |
| first_indexed | 2024-03-12T23:05:00Z |
| format | Article |
| id | doaj.art-c2664d642e3e4538865d198e404d0d9c |
| institution | Directory Open Access Journal |
| issn | 1003-7969 |
| language | English |
| last_indexed | 2024-03-12T23:05:00Z |
| publishDate | 2022-12-01 |
| publisher | 中粮工科（西安）国际工程有限公司 |
| record_format | Article |
| series | Zhongguo youzhi |
| spelling | doaj.art-c2664d642e3e4538865d198e404d0d9c2023-07-19T03:33:03Zeng中粮工科（西安）国际工程有限公司Zhongguo youzhi1003-79692022-12-01471210711110.19902/j.cnki.zgyz.1003-7969.220539近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy彭志兵1,熊小辉1，郁露2，张晨1，胡春1 PENG Zhibing1,XIONG Xiaohui1,YU Lu2,ZHANG Chen1,HU Chun101.江西省检验检测认证总院 食品检验检测研究院，南昌 330046； 2. 珀金埃尔默企业管理（上海）有限公司 北京分公司，北京1000151.Food Inspection and Testing Research Institute of Jiangxi General Institute of Testing and Certification, Nanchang 330046, China; 2.Beijing Branch of PerkinElmer Limited Company, Beijing 100015,China为了简便、快速、准确地测定米糠油中的谷维素含量，以LS/T 6121.2—2017的高效液相色谱法为测定米糠油中谷维素含量的参比方法，采用近红外光谱分析技术结合偏最小二乘法建立了米糠油中谷维素含量的定量分析模型。结果表明：所建定量分析模型的决定系数为99.81%，预测标准差为0.028 49%,交叉验证标准差为0.031 13%；利用99个验证集样品对定量分析模型进行外部独立验证,预测决定系数为99.81%,预测标准差为0.030 90%，用该定量分析模型检测样品绝对误差在-0.081%~0.057%之间，相对误差在-11.86%~9.84%之间。所建立的定量分析模型预测效果较好，准确度较高，可用于米糠油中谷维素含量的测定。 In order to determine the oryzanol content in rice bran oil with a simple, rapid and accurate manner, a quantitative analysis model of near-infrared spectroscopy combined with partial least squares method for the determination of oryzanol content in rice bran oil was established by using the high performance liquid chromatography method of LS/T 6121.2-2017 as the reference method. The results showed that the coefficient of deterination of quantitative analysis model established was 99.81%, the standard deviation of prediction was 0.028 49%, and the standard deviation of cross validation was 0.031 13%. The total of 99 samples were used to the external independent verification of the quantitative analysis model, and the coefficient of deterination of prediction was 99.81%, the standard deviation of prediction was 0.030 90%, the absolute error was in the range of -0.081%-0.057%, relative error was in the range of -11.86%-9.84%. The established quantitative analysis model has good prediction effect and high accuracy, and can be used for the determination of oryzanol content in rice bran oil.http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20221219&year_id=2022&quarter_id=12&falg=1近红外光谱法；谷维素；定量分析模型；米糠油near-infrared spectroscopy; oryzanol; quantitative analysis model; rice bran oil |
| spellingShingle | 彭志兵1,熊小辉1，郁露2，张晨1，胡春1 PENG Zhibing1,XIONG Xiaohui1,YU Lu2,ZHANG Chen1,HU Chun1 近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy Zhongguo youzhi 近红外光谱法；谷维素；定量分析模型；米糠油 near-infrared spectroscopy; oryzanol; quantitative analysis model; rice bran oil |
| title | 近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy |
| title_full | 近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy |
| title_fullStr | 近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy |
| title_full_unstemmed | 近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy |
| title_short | 近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy |
| title_sort | 近红外光谱法快速测定米糠油中谷维素的含量rapid determination of oryzanol in rice bran oil by near infrared spectroscopy |
| topic | 近红外光谱法；谷维素；定量分析模型；米糠油 near-infrared spectroscopy; oryzanol; quantitative analysis model; rice bran oil |
| url | http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20221219&year_id=2022&quarter_id=12&falg=1 |
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