Table of Contents Author Guidelines Submit a Manuscript
Journal of Spectroscopy
Volume 2017, Article ID 6302868, 8 pages
https://doi.org/10.1155/2017/6302868
Research Article

Feasibility of Terahertz Time-Domain Spectroscopy to Detect Carbendazim Mixtures Wrapped in Paper

1School of Mechano-Electronic Engineering, Xidian University, Xi’an, Shanxi 710126, China
2School of Electronics and Communication Engineering, Yulin Normal University, Yulin, Guangxi 537000, China
3Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
4Guangxi Key Laboratory for Agricultural Resources Chemistry and Efficient Utilization (Cultivation Base), Colleges and Universities Key Laboratory for Efficient Use of Agricultural Resources in the Southeast of Guangxi, College of Chemistry and Food Science, Yulin Normal University, Yulin, Guangxi 537000, China

Correspondence should be addressed to Zhi Li; moc.361@liamekrow_ilihz

Received 9 March 2017; Accepted 13 July 2017; Published 9 August 2017

Academic Editor: Khalique Ahmed

Copyright © 2017 Binyi Qin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. H. Baek, J. H. Kang, Y. H. Hwang, K. M. Ok, K. Kwak, and H. S. Chun, “Detection of methomyl, a carbamate insecticide, in food matrices using terahertz time-domain spectroscopy,” Journal of Infrared Millimeter and Terahertz Waves, vol. 37, pp. 486–497, 2016. View at Publisher · View at Google Scholar · View at Scopus
  2. Y. Hua and H. Zhang, “Qualitative and quantitative detection of pesticides with terahertz time-domain spectroscopy,” IEEE Transactions on Microwave Theory and Techniques, vol. 58, pp. 2064–2070, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. Z. Chen, Z. Zhang, R. Zhu, Y. Xiang, Y. Yang, and P. B. Harrington, “Application of terahertz time-domain spectroscopy combined with chemometrics to quantitative analysis of imidacloprid in rice samples,” Journal of Quantitative Spectroscopy & Radiative Transfer, vol. 167, pp. 1–9, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. C. Chafer-Pericas, A. Maquieira, and R. Puchades, “Fast screening methods to detect antibiotic residues in food samples,” Tractrends in Analytical Chemistry, vol. 29, pp. 1038–1049, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. R. Martinez, E. Gonzalo, M. Moran, and J. Mendez, “Sensitive method for the determination of organophosphorus pesticides in fruits and surface waters by high-performance liquid chromatography with ultraviolet detection,” Journal of Chromatography, vol. 607, pp. 37–45, 1992. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Khanmohammadi, S. Armenta, S. Garrigues, and M. de la Guardia, “Mid- and near-infrared determination of metribuzin in agrochemicals,” Vibrational Spectroscopy, vol. 46, pp. 82–88, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Armenta, S. Garrigues, and M. de la Guardia, “Determination of iprodione in agrochemicals by infrared and Raman spectrometry,” Analytical and Bioanalytical Chemistry, vol. 387, pp. 2887–2894, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. B. Ferguson and X. Zhang, “Materials for terahertz science and technology,” Nature Materials, vol. 1, pp. 26–33, 2002. View at Google Scholar
  9. P. U. Jepsen, D. G. Cooke, and M. Koch, “Terahertz spectroscopy and imaging - modern techniques and applications,” Laser & Photonics Reviews, vol. 5, pp. 124–166, 2011. View at Google Scholar
  10. F. Rong, L. Zhe, J. Biao-bing et al., “A study of vibrational spectra of L-, D-, DL-alanine in terahertz domain,” Spectroscopy and Spectral Analysis, vol. 30, pp. 2023–2026, 2010. View at Google Scholar
  11. M. D. King, W. D. Buchanan, and T. M. Korter, “Identification and quantification of polymorphism in the pharmaceutical compound diclofenac acid by terahertz spectroscopy and solid-state density functional theory,” Analytical Chemistry, vol. 83, pp. 3786–3792, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. D. G. Allis and T. M. Korter, “Theoretical analysis of the terahertz spectrum of the high explosive PETN,” Chemphyschem, vol. 7, pp. 2398–2408, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. M. T. Ruggiero and J. A. Zeitler, “Resolving the origins of crystalline anharmonicity using terahertz time-domain spectroscopy and ab initio simulations,” Journal of Physical Chemistry B, vol. 120, pp. 11733–11739, 2016. View at Publisher · View at Google Scholar
  14. C. Bing-Hua, M. Guang-Xin, and Z. Ze-Kui, “Terahertz time-domain spectroscopy of dimethoate,” Chinese Journal of Analytical Chemistry, vol. 36, pp. 623–626, 2008. View at Google Scholar
  15. Y. Hua, H. Zhang, and H. Zhou, “Quantitative determination of cyfluthrin in N-hexane by terahertz time-domain spectroscopy with chemometrics methods,” IEEE Transactions on Instrumentation and Measurement, vol. 59, pp. 1414–1423, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. W. Qiang and M. Ye-hao, “Qualitative and quantitative identification of nitrofen in terahertz region,” Chemometrics and Intelligent Laboratory Systems, vol. 127, pp. 43–48, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. J. B. Sleiman, B. Bousquet, N. Palka, and P. Mounaix, “Quantitative analysis of hexahydro-1,3,5-trinitro-1,3,5, triazine/pentaerythritol tetranitrate (RDX -PETN) mixtures by terahertz time domain spectroscopy,” Applied Spectroscopy, vol. 69, pp. 1464–1471, 2015. View at Publisher · View at Google Scholar
  18. C. Burges, “A tutorial on support vector machines for pattern recognition,” Data Mining and Knowledge Discovery, vol. 2, pp. 121–167, 1998. View at Publisher · View at Google Scholar
  19. B. Scholkopf, K. Sung, C. Burges et al., “Comparing support vector machines with Gaussian kernels to radial basis function classifiers,” IEEE Transactions on Signal Processing, vol. 45, pp. 2758–2765, 1997. View at Publisher · View at Google Scholar · View at Scopus
  20. S. Wold, M. Sjostrom, and L. Eriksson, “PLS-regression: a basic tool of chemometrics,” Chemometrics and Intelligent Laboratory Systems, vol. 58, pp. 109–130, 2001, International Symposium on Partial Least Squares (PLS 99), Jouy En Josas, France, October, 1999. View at Publisher · View at Google Scholar · View at Scopus
  21. N. Sorol, E. Arancibia, S. A. Bortolato, and A. C. Olivieri, “Visible/near infrared-partial least-squares analysis of Brix in sugar cane juice: a test field for variable selection methods,” Chemometrics and Intelligent Laboratory Systems, vol. 102, pp. 100–109, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. H. Drucker, C. Burges, L. Kaufman, A. Smola, and V. Vapnik, “Support vector regression machines,” in Advances in Neural Information Processing Systems 9: Proceedings of the 1996 Conference, M. C. Mozer, M. I. Jordan, and T. Petsche, Eds., vol. 9 of Advances in Neural Information Processing Systems, NIPS Fdn, 1997, pp. 155–161, Denver, CO, December, 1996, 10th Annual Conference on Neural Information Processing Systems (NIPS).
  23. V. Vapnik, S. Golowich, and A. Smola, “Support vector method for function approximation, regression estimation, and signal processing,” in Advances in Neural Information Processing Systems 9: Proceedings of the 1996 Conference, M. C. Mozer, M. I. Jordan, and T. Petsche, Eds., vol. 9 of Advances in Neural Information Processing Systems, NIPS Fdn, 1997, pp. 281–287, Denver, CO, December, 1996, 10th Annual Conference on Neural Information Processing Systems (NIPS).