Journal of Wood Science

, Volume 59, Issue 2, pp 119–126 | Cite as

High accuracy rapid prediction and feasibility of on-site nondestructive estimation of Para rubber quality by spectroscopic methods

  • Tetsuya Inagaki
  • Panmanas Sirisomboon
  • Chang Liu
  • Warunee Thanapase
  • Satoru Tsuchikawa
Original article


The aim of this study was to investigate convenient spectroscopic evaluation method of Para rubber quality. Ultra violet–near infrared (UV–NIR 370–1085 nm) spectra of latex were measured in transmittance mode. Calibrations for total solid content (TSC) and dry rubber content (DRC) were developed using spectral data set with aid of partial least square regression analysis using 57 samples. UV–NIR spectra of latex provided good regression models between measured and predicted values of TSC and DRC with determination coefficient for cross-validation of 0.96 and 0.97, respectively. The ranks were 2 and 1, respectively. This study suggests high accuracy in-line quality control of latex using UV–NIR spectroscopy. The long wavelength NIR spectra of bark were scanned to check the feasibility of on-site evaluation of latex quality by measuring the NIR spectra of standing tree. From the observation of near infrared spectra, it was shown that there was more latex signal in outer part of wood bark than in inner part of wood bark. This result suggests that the focal point should be on the outer part of bark to get the signal of latex when we measure the spectra of standing tree.


Natural rubber Latex quality UV–NIR spectroscopy PLS 



The authors are grateful for the financial support of the research budget of King Mongkut’s Institute of Technology Ladkrabang (Fiscal year 2010). Also the authors are very thankful to Mr. Chanwit Khunnarong, the manager of NY Rubber company at Nong Yai, Cholburi, Thailand, for providing some instrument and place to conduct the experiment.


  1. 1.
    FAO (2012) FAOSTAT. ( Accessed 24 Sep 2012
  2. 2.
    Pipitkul P, Chomtoranin J (2010) Para rubber, October 2010 (in Thai). J Agric Econ 56:32–33Google Scholar
  3. 3.
    Schimleck LR, Hodge GR, Woodbridge W (2010) Toward global calibrations for estimating the wood properties of tropical, sub-tropical and temperate pine species. J Near Infrared Spectrosc 18:355–365CrossRefGoogle Scholar
  4. 4.
    Inagaki T, Schwanninger M, Kato R, Kurata Y, Thanapase W, Puthson P, Tsuchikawa S (2012) Eucalyptus camaldulensis density and fiber length estimated by near-infrared spectroscopy. Wood Sci Technol 46:143–155CrossRefGoogle Scholar
  5. 5.
    Terdwongworakul A, Punsuwan V, Thanapase W, Tsuchikawa S (2005) Rapid assessment of wood chemical properties and pulp yield of Eucalyptus camaldulensis in Thailand tree plantations by near infrared spectroscopy for improving wood selection for high quality pulp. J Wood Sci 51:167–171CrossRefGoogle Scholar
  6. 6.
    Kelley SS, Rials TG, Snell R, Groom LH, Sluiter A (2004) Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood. Wood Sci Technol 38:257–276CrossRefGoogle Scholar
  7. 7.
    Schwanninger M, Rodrigues JC, Fackler K (2011) A review of band assignments in near infrared spectra of wood and wood components. J Near Infrared Spectrosc 19:287–308CrossRefGoogle Scholar
  8. 8.
    Tsuchikawa S (2007) A review of recent near infrared research for wood and paper. Appl Spectrosc Rev 42:43–71CrossRefGoogle Scholar
  9. 9.
    Rittiron R, Tiammueng C, Saehea J, Sabchuangchote S (2010) Moisture content analyzer for raw rubber sheet by handheld near infrared spectrometer. In: Saranwong S, Kasemsumran S, Thanapase W, Williams (eds) Near Infrared Spectroscopy: Proceedings of the 14th International Conference, IM Publications LLP, UK, pp 1079–1085Google Scholar
  10. 10.
    Marinho JRD, Monteiro EEC (2000) Analysis of natural cis- and trans-polyisoprene mixtures by near-infrared spectrophotometry. Polym Test 19:667–672CrossRefGoogle Scholar
  11. 11.
    Sirisomboon P, Chowbankrang R, Williams P (2012) Evaluation of apparent viscosity of Para rubber latex by diffuse reflection near-infrared spectroscopy. Appl Spectrosc 66:595–599PubMedCrossRefGoogle Scholar
  12. 12.
    Rubber Research Institute (2001) Testing methods for concentrated latex (in Thai), Department of Agriculture, Technical Paper No. 2/2544, 4th edition/2544: pp 13–19Google Scholar
  13. 13.
    Corish PJ (1959) Analysis of cis-1 and trans-1-4 contents of polyisoprenes by near infra-red spectroscopy. Spectrochim Acta 15:598–604CrossRefGoogle Scholar
  14. 14.
    Black LT, Hamerstrand GE, Kwolek WF (1985) Analysis of rubber, resin, and moisture-content of guayule by near-infrared reflectance spectroscopy. Rubber Chem Technol 58:304–313CrossRefGoogle Scholar
  15. 15.
    Guilment J, Bokobza L (2001) Determination of polybutadiene microstructures and styrene-butadiene copolymers composition by vibrational techniques combined with chemometric treatment. Vib Spectrosc 26:133–149CrossRefGoogle Scholar
  16. 16.
    Traetteberg M, Paulen G, Cyvin SJ, Panchenko YN, Mochalov VI (1984) Structure and conformations of isoprene by vibrational spectroscopy and gas electron-diffraction. J Mol Struct 116:141–151CrossRefGoogle Scholar
  17. 17.
    Vilmin F, Dussap C, Coste N (2006) Fast and robust method for the determination of microstructure and composition in butadiene, styrene-butadiene, and isoprene rubber by near-infrared spectroscopy. Appl Spectrosc 60:619–630PubMedCrossRefGoogle Scholar
  18. 18.
    Quinebeche S, Navarro C, Gnanou Y, Fontanille M (2009) In situ mid-IR and UV-visible spectroscopies applied to the determination of kinetic parameters in the anionic copolymerization of styrene and isoprene. Polymer 50:1351–1357CrossRefGoogle Scholar

Copyright information

© The Japan Wood Research Society 2012

Authors and Affiliations

  • Tetsuya Inagaki
    • 1
  • Panmanas Sirisomboon
    • 2
  • Chang Liu
    • 1
  • Warunee Thanapase
    • 3
  • Satoru Tsuchikawa
    • 1
  1. 1.Graduate School of Bioagricultural SciencesNagoya UniversityNagoyaJapan
  2. 2.Agricultural Engineering Curriculum, School of Mechanical Engineering, Faculty of EngineeringKing Mongkut’s Institute of Technology LadkrabangBangkokThailand
  3. 3.Kasetsart Agricultural and Agro-Industrial Product Improvement InstituteKasetsart UniversityBangkokThailand

Personalised recommendations