CAJ | 학술논문

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。
목적：통과근홍외광보기술대평과진행무손검측,구유쾌속、비파배성、무시제분석、안전、고효、저성본등특점。방법본문운용 Matlab7.1,대평과적당도여광보곡선재불동파단처적상대광강진행다원선성회귀분석,건립료최가단파장、최가쌍파장조합、최가삼파장조합화최가사파장조합적교정방정。결과교정방정적상관계수분별위0.621、0.715、0.797화0.822,표준교정오차분별위1.325、1.218、1.074화0.997Brix°,상대교정오차분별위11.28%、10.42%、9.63%화9.26%。결론시험표명용근홍외광보기술무손검측평과당도시가행성적,위금후진일보검측평과적기타품질전정기출。
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.