苹果糖度近红外光谱检测波段试验研究
目的通过近红外光谱技术对苹果进行无损检测,具有快速、非破坏性、无试剂分析、安全、高效、低成本等特点。方法本文运用Matlab7.1,对苹果的糖度与光谱曲线在不同波段处的相对光强进行多元线性回归分析,建立了最佳单波长、最佳双波长组合、最佳三波长组合和最佳四波长组合的校正方程。结果校正方程的相关系数分别为0.621、0.715、0.797和0.822,标准校正误差分别为1.325、1.218、1.074和0.997Brix°,相对校正误差分别为11.28%、10.42%、9.63%和9.26%。结论试验表明用近红外光谱技术无损检测苹果糖度是可行性的,为今后进一步检测苹果的其他品质奠定基础。...
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| Published in | 食品安全质量检测学报 no. 8; pp. 3021 - 3025 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
南京农业大学工学院，江苏省智能化农业装备重点实验室，南京 210031
2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2095-0381 |
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| Abstract | 目的通过近红外光谱技术对苹果进行无损检测,具有快速、非破坏性、无试剂分析、安全、高效、低成本等特点。方法本文运用Matlab7.1,对苹果的糖度与光谱曲线在不同波段处的相对光强进行多元线性回归分析,建立了最佳单波长、最佳双波长组合、最佳三波长组合和最佳四波长组合的校正方程。结果校正方程的相关系数分别为0.621、0.715、0.797和0.822,标准校正误差分别为1.325、1.218、1.074和0.997Brix°,相对校正误差分别为11.28%、10.42%、9.63%和9.26%。结论试验表明用近红外光谱技术无损检测苹果糖度是可行性的,为今后进一步检测苹果的其他品质奠定基础。 |
|---|---|
| AbstractList | 目的：通过近红外光谱技术对苹果进行无损检测,具有快速、非破坏性、无试剂分析、安全、高效、低成本等特点。方法本文运用 Matlab7.1,对苹果的糖度与光谱曲线在不同波段处的相对光强进行多元线性回归分析,建立了最佳单波长、最佳双波长组合、最佳三波长组合和最佳四波长组合的校正方程。结果校正方程的相关系数分别为0.621、0.715、0.797和0.822,标准校正误差分别为1.325、1.218、1.074和0.997Brix°,相对校正误差分别为11.28%、10.42%、9.63%和9.26%。结论试验表明用近红外光谱技术无损检测苹果糖度是可行性的,为今后进一步检测苹果的其他品质奠定基础。 目的通过近红外光谱技术对苹果进行无损检测,具有快速、非破坏性、无试剂分析、安全、高效、低成本等特点。方法本文运用Matlab7.1,对苹果的糖度与光谱曲线在不同波段处的相对光强进行多元线性回归分析,建立了最佳单波长、最佳双波长组合、最佳三波长组合和最佳四波长组合的校正方程。结果校正方程的相关系数分别为0.621、0.715、0.797和0.822,标准校正误差分别为1.325、1.218、1.074和0.997Brix°,相对校正误差分别为11.28%、10.42%、9.63%和9.26%。结论试验表明用近红外光谱技术无损检测苹果糖度是可行性的,为今后进一步检测苹果的其他品质奠定基础。 |
| Abstract_FL | Objective Using near infrared spectroscopy technology to detect apple quality. Methods Using Matlab7.1, apple Brix and the spectral curve in different band relative intensity were analyzed with multiple linear regression to establish the best single wavelength, a combination of the best dual wavelength combination, the best three wavelength combination and the best four wavelength calibration equation. Results The result showed that correlation coefficient of the calibration equations were 0.621, 0.715, 0.797 and 0.822, the standard error of calibration were 1.325, 1.218, 1.074 and 0.997 Brix°, respectively, and the relative error correction were 11.28%, 10.42%, 9.63% and 9.26%, respectively. Conclusion The study showed that the method of near infrared spectroscopy detection of sugar degree of apple in nondestructive testing was feasible, it could also provide a basis for further detection of other qualities of apple. |
| Author | 孙元昊 刘璎瑛 丁永前 黄煜博 陈继猛 |
| AuthorAffiliation | 南京农业大学工学院江苏省智能化农业装备重点实验室 |
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| Author_FL | DING Yong-Qian HUANG Yu-Bo CHEN Ji-Meng LIU Ying-Ying SUN Yuan-Hao |
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| DocumentTitle_FL | Experimental study on near infrared spectroscopy detection of sugar degree of apple |
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| Keywords | near infrared spectroscopy sugar degree of apple 近红外光谱法 多元线性回归 苹果糖度 multiple linear regression |
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| Notes | SUN Yuan-Hao;LIU Ying-Ying;DING Yong-Qian;HUANG Yu-Bo;CHEN Ji-Meng;Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province, College of Engineering,Nanjing Agricultural University 11-5956/TS |
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| PublicationTitle | 食品安全质量检测学报 |
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| Publisher | 南京农业大学工学院，江苏省智能化农业装备重点实验室，南京 210031 |
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| Snippet | 目的通过近红外光谱技术对苹果进行无损检测,具有快速、非破坏性、无试剂分析、安全、高效、低成本等特点。方法本文运用Matlab7.1,对苹果的糖度与光谱曲线在不同波段处的相对光强... 目的：通过近红外光谱技术对苹果进行无损检测,具有快速、非破坏性、无试剂分析、安全、高效、低成本等特点。方法本文运用 Matlab7.1,对苹果的糖度与光谱曲线在不同波段处的相对... |
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| SubjectTerms | 多元线性回归 苹果糖度 近红外光谱法 |
| Title | 苹果糖度近红外光谱检测波段试验研究 |
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