Research on the Soluble Solids Content of Pear Internal Quality Index by Near-Infrared Diffuse Reflectance Spectroscopy
LIU Yan-de1,2,SUN Xu-dong1,CHEN Xing-miao1
1. College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China 2. College of Biosystems Engineering & Food Science, Zhejiang University, Hangzhou 310029, China
Abstract:The objectives of the present study were to establish the relationships between the near-infrared diffuse reflectance (NIR) spectra and the soluble solids content (SSC) of internal quality index of pear fruit, and to evaluate the value of NIR spectrometry in measuring the SSC of internal quality index of pear fruit. NIR spectroscopy in the 350-1 800 nm range was used to analyze the SSC of internal quality index of pear fruit with multi-linear regression (MLR), principal component regression (PCR) and partial least square (PLS) regression. Meanwhile, the best combinations of different positions at pear fruit, the logarithms of the reflectance reciprocal log(1/R), its first derivative D1log(1/R) and second derivative D2log(1/R) were investigated. The best prediction results, based on the comparative analysis, were obtained with the PLS model and D1log(1/R) at equatorial position of pear fruit. The results show that the predictions with PLS models, based on D1log(1/R) at equatorial position of pear fruit, are correlation coefficients (Rp) of 0.851 7 and root mean standard error of prediction (RMSEP) of 0.879 3 for SSC. The preliminary research on the built models indicates that NIR spectroscopy could provide an accurate, reliable and nondestructive method for assessing the SSC of internal quality index of pear fruit.
刘燕德1,2,孙旭东1,陈兴苗1. 近红外漫反射光谱检测梨内部指标可溶性固性物的研究[J]. 光谱学与光谱分析, 2008, 28(04): 797-800.
LIU Yan-de1,2,SUN Xu-dong1,CHEN Xing-miao1. Research on the Soluble Solids Content of Pear Internal Quality Index by Near-Infrared Diffuse Reflectance Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(04): 797-800.
[1] Lammertyn J, Nicolay B, Ooms K, et al. Transactions of the ASAE, 1998, 41(4): 1089. [2] Peiris K H S, Dull G G, Leffler R G, et al. Hort Science, 1999, 34(1): 114. [3] Schmilovitch Z, Mizrach A, Hoffman A, et al. Postharvest Biology and Technology, 2000, 19(3): 245. [4] Lu R. Transactions of the ASAE, 2001, 44(5): 1265. [5] Lu R, Ariana D. Applied Engineering in Agriculture, 2002, 18: 585. [6] Park B, Abbott J A, Lee K J, et al. Transactions of the ASAE, 2003, 46(6): 1721. [7] Liu Y D, Ying Y B, Fu X P, et al. In Proceedings of SPIE - The International Society for Optical Engineering, 5271, Monitoring Food Safety, Agriculture, and Plant Health, 2004. 347. [8] Ying Y B, Liu Y D, Wang J P, et al. Transactions of the ASAE, 2005, 48(1): 229. [9] LIU Yan-de, YING Yi-bin, FU Xia-ping(刘燕德, 应义斌, 傅霞萍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(11): 1793. [10] YING Yi-bin, LIU Yan-de, FU Xia-ping(应义斌, 刘燕德, 傅霞萍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(1): 63. [11] HE Yong, LI Xiao-li, SHAO Yong-ni(何 勇, 李晓丽, 邵咏妮). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(5): 850.