Browse > Article
http://dx.doi.org/10.5307/JBE.2012.37.6.404

Germination Prediction of Cucumber (cucumis sativus) Seed using Raman Spectroscopy  

Mo, Changyeun (National Academy of Agricultural Science, Rural Development Administration)
Kang, Sukwon (National Academy of Agricultural Science, Rural Development Administration)
Lee, Kangjin (National Academy of Agricultural Science, Rural Development Administration)
Kim, Giyoung (National Academy of Agricultural Science, Rural Development Administration)
Cho, Byoung-Kwan (Department of Biosystems Machinery Engineering, Chungnam National University)
Lim, Jong-Guk (National Academy of Agricultural Science, Rural Development Administration)
Lee, Ho-Sun (National Academy of Agricultural Science, Rural Development Administration)
Park, Jongryul (National Academy of Agricultural Science, Rural Development Administration)
Publication Information
Journal of Biosystems Engineering / v.37, no.6, 2012 , pp. 404-410 More about this Journal
Abstract
Purpose: The objective of this research was to select high quality cucumber (cucumis sativus) seed by classifying into viable or non-viable one using Raman spectroscopy. Method: Both transmission and back-scattering Raman spectra of viable and non-viable seeds in the range from $150cm^{-1}$ to $1890cm^{-1}$ were collected with a laser illumination. Results: The Raman spectra of cucumber seed showed Raman peaks with features of polyunsaturated fatty acids. The partial least squares-discriminant analysis (PLS-DA) to predict viable seeds was developed with measured transmission and backscattering spectra with Raman spectroscopy and germination test results. Various types of spectra pretreatment were investigated to develop the classification models. The results of developed PLS-DA models using the transmission spectra with mean normalization or range normalization, and back-scattering spectra with mean normalization treatment or baseline correction showed 100% discrimination accuracy. Conclusions: These results showed that Raman spectroscopy technologies can be used to select the high quality cucumber seeds.
Keywords
Cucumber seed; Discrimination; Germination prediction; Raman; PLS-DA;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Alexandrakis, D., G. Downey and A.G.M. Scannell. 2008. Detection and identification of bacteriain an isolated system with near-infrared spectroscopy and multivariate analysis. Journal of Agricultural and Food Chemistry 56:3431-3437.   DOI
2 Chad, A.L. and M.J. Anita. 2003. Automated method for subtraction of fluorescence from biological Raman spectra. Applied Spectroscopy 57:1363-1367.   DOI
3 Da Silva, C.E., P. Vandenabeele, H.G. Edwards and L.F. de Oliveira. 2008. NIR-FT-Raman spectroscopic analytical characterization of the fruits, seeds, and phytotherapeutic oils from rosehips. Analytical and Bioanalytical Chemistry 392(7):1489-1496.   DOI
4 ISTA. 2008. International rules for seed testing. edition 2008. International Seed Testing Association.
5 Kim, M., H. Chung, Y. Woo and M. Kemper. 2006. New reliable Raman collection system using the wide area illumination (WAI) scheme combined with the synchronous intensity correction standard for the analysis of pharmaceutical tablets. Analytica Chimica Acta 579:209-216.   DOI   ScienceOn
6 Koostra, P.T. and J.F. Harrington. 1969. Biochemical Effects of Age on Membranal Lipids of Cucumis-Sativus-D Seed. The International Seed Testing Association 34:329-340.
7 Min, T.G. and W.S. Kang. 2003. Nondestructive separation of viable and non-viable gourd (Lagenaria siceraria) seeds using single seed near infrared reflectance spectroscopy. Korean Society for Horticultural Science 44:545-548.
8 Reitzenstein, S., P. Rösch, M.A. Strehle, D. Berg, M. Baranska, H. Schulz, E. Rudloff and J. Popp. 2007. Nondestructive analysis of single rapeseeds by means of Raman spectroscopy. Journal of Raman Spectroscopy 38(3):301-308.   DOI
9 Schulz, H., M. Baranska and R. Baranski. 2005. Potential of NIR-FT-Raman Spectroscopy in Natural Carotenoid Analysis. Biopolymers 77(4):212-221.   DOI
10 Shetty, N., T.G. Min, M.H. Olesen and B. Boelt. 2011. Optimal sample size for predicting viability of cabbage and radish seeds based on near infrared spectra of single seeds. Journal of Near Infrared Spectroscopy 19:451-461.   DOI
11 Shin K., H. Chung and C.W. Kwak. 2012. Transmission Raman measurement directly through packed corn kernels to improve sample representation and accuracy of compositional analysis. Analyst 137:3690-3696.   DOI