Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Non-destructive and Rapid Prediction of Moisture Content in Red Pepper (Capsicum annuum L.) Powder Using Near-infrared Spectroscopy and a Partial Least Squares Regression Model

  • Lim, Jongguk (National Academy of Agricultural Science, Rural Development Administration) ;
  • Mo, Changyeun (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Giyoung (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, Moon S. (Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, United States Department of Agriculture) ;
  • Moon, Jihea (National Academy of Agricultural Science, Rural Development Administration)
  • Received : 2014.07.23
  • Accepted : 2014.08.09
  • Published : 2014.09.01
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Abstract

Purpose: The aim of this study was to develop a technique for the non-destructive and rapid prediction of the moisture content in red pepper powder using near-infrared (NIR) spectroscopy and a partial least squares regression (PLSR) model. Methods: Three red pepper powder products were separated into three groups based on their particle sizes using a standard sieve. Each product was prepared, and the expected moisture content range was divided into six or seven levels from 3 to 21% wb with 3% wb intervals. The NIR reflectance spectra acquired in the wavelength range from 1,100 to 2,300 nm were used for the development of prediction models of the moisture content in red pepper powder. Results: The values of $R{_V}{^2}$, SEP, and RPD for the best PLSR model to predict the moisture content in red pepper powders of varying particle sizes below 1.4 mm were 0.990, ${\pm}0.487%$ wb, and 10.00, respectively. Conclusions: These results demonstrated that NIR spectroscopy and a PLSR model could be useful techniques for measuring rapidly and non-destructively the moisture content in red pepper powder.

Keywords

References

  1. Bobelyn, E., Serban, A., Nicu, M., Lammertyn, J., Nicolai, B and W. Saeys. 2010. Postharvest quality of apple predicted by NIR-spectroscopy: study of the effect of biological variability on spectra and model performance. Postharvest Biology and Technology. 55(3):133-143. https://doi.org/10.1016/j.postharvbio.2009.09.006
  2. Byun, M. W., Yook, H. S., Kwon, J. H and J. O. Kim. 1996. Improvement of hygienic quality and long-term storage of dried red-pepper by gamma irradiation. Korean Journal of Food Science and Technology. 28(3):482-489 (In Korean, with English abstract).
  3. Cho, S. H., Chung, H. I., Woo, Y. A and H. J. Kim. 2005. Determination of water content in ethanol by miniaturized near-infrared (NIR) system. Bulletin of the Korean Chemical Society. 26(1):115-18 https://doi.org/10.5012/bkcs.2005.26.1.115
  4. Cho, S. I., Noh, D. H and C. H. Chung. 1998. Moisture and fat contents measurement of red-pepper powder using proton NMR. In: Proceedings of the Korean society for agricultural machinery, pp. 331-336.
  5. Cho, S. I., Bae, Y. M and D. H. Noh. 1997. Measurement of moisture and fat contents in pepper-powder using near-infrared spectroscopy. Food Engineering Progress. 1(2):133-136 (In Korean, with English abstract).
  6. Cho, R. K., Hong, J. H., Kim, H. K and M. H. Park. 1990. Rapid quality evaluation of dried red-pepper by near-infrared spectroscopy. Korean Journal of Food Science and Technology. 22(6):675-680 (In Korean, with English abstract).
  7. Davies, A. M and A. Grant. 1987. Review: near-infra-red analysis of food. International Journal of Food Science and Technology. 22(3):191-207.
  8. Geladi, P and B. P. Kowalski. 1986. Partial least-squares regression: a tutorial. Analytica Chimica Acta. 185(1): 1-17. https://doi.org/10.1016/0003-2670(86)80028-9
  9. Hong, S. H. 1999. The future of red-pepper powder industry in Korea. Food Industry and Nutrition. 4(1):455-459 (In Korean).
  10. Hwang, I. G., Noh, S. H., Lee, H. Y and S. B. Yang. 2000. The nondestructive measurement of the soluble solid and acid contents of intact peach using VIS/NIR transmittance spectra. The third international conference on agricultural machinery engineering. 2:210-218.
  11. Jung, J. J., Choi, E. J., Lee, Y. J and S. T. Kang. 2011. Effects of infrared pasteurization on quality of red-pepper powder. Korean Journal of Food Science and Technology. 43(2):156-160 (In Korean, with English abstract). https://doi.org/10.9721/KJFST.2011.43.2.156
  12. Kawano S., Fujiwara, T and M. Iwamoto. 1993. Nondestructive determination of sugar content in satsuma mandarin using near infrared (NIR) transmittance. Journal of the Japanese Society for Horticultural Science. 62: 465-470. https://doi.org/10.2503/jjshs.62.465
  13. Kim, D. Y., Rhee, C. O and S. C. Shin. 1982. Color changes of red-pepper by drying and milling methods. Journal of Korean Agricultural Chemical Society. 25:1-7 (In Korean, with English abstract).
  14. Kim, K. B., Lee, J. H and S. H. Noh. 1999. Moisture content measurement of wheat flour and red- pepper powder using RF capacitance (1) - characterization of RF capacitance of samples. Food engineering progress. 3(2):104-110 (In Korean, with English abstract).
  15. Korablev, O., Bertaux, J. L., Grigoriev, A., Dimarellis, E., Kalinnikov, Y., Rodin, A., Muller, C and D. Fonteyn. 2002. An AOTF-based spectrometer for the studies of Mars atmosphere for Mars express ESA mission. Advances in Space Research. 29(2):143-150. https://doi.org/10.1016/S0273-1177(01)00581-6
  16. Ku, K. H., Kim, N. Y., Park, J. B and W. S. Park. 2001. Characteristics of color and pungency in the red-pepper for Kimchi. Korean Journal of Food Science and Technology. 33(2):231-237 (In Korean, with English abstract).
  17. Lee, K. J., Kim, G. Y., Kang, S. W., Son, J. R., Choi, D. S and K. H. Choi. 2004. Measurement of sugar content in citrus using near infrared transmittance. Key Engineering Materials. 270-273:1014-1019. https://doi.org/10.4028/www.scientific.net/KEM.270-273.1014
  18. Lee, S. M., Kim, S., Park, J. B and I. K. Hwang. 2005. Prediction of chemical compositions for on-line quality measurement of red-pepper powder using near infrared reflectance spectroscopy (NIRS). Food Science Biotechnology. 14(2):280-285.
  19. Lu, R., Guyer, D. E and R. M. Beaudry. 2000. Determination of firmness and sugar content of apples using nearinfrared diffuse reflectance. Journal of Texture Studies. 31:615-630. https://doi.org/10.1111/j.1745-4603.2000.tb01024.x
  20. Mauer, L. J., Chernyshova, A. A., Hiatt, A., Deering, A and R. Davis. 2009. Melamine detection in infant formula powder using near- and mid-infrared spectroscopy. Journal of agricultural and food chemistry. 57:3974-3980. https://doi.org/10.1021/jf900587m
  21. MO, C. Y., Lee, K. J., Lim, J. G., Kang, S. W., Lee, H. D and B. K. Cho. 2012. Development of non-destructive pungency measurement technique for red-pepper powder produced in different domestic origins. CNU Journal of Agricultural Science. 39(4):603-612 (In Korean, with English abstract). https://doi.org/10.7744/cnujas.2012.39.4.603
  22. MO, C. Y., Kang, S. W., Lee, K. J., Lim, J. G., Cho, B. K and H. D. Lee. 2011. Development of prediction model for capsaicinoids content in red-pepper powder using near-infrared spectroscopy - particle size effect. Food Engineering Progress. 15(1):48-55 (In Korean, with English abstract).
  23. Nicolai, B. M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K. I and J. Lammertyn. 2007. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review. Postharvest Biology and Technology. 46:99-118. https://doi.org/10.1016/j.postharvbio.2007.06.024
  24. Norris, K. H. 1964. Reports on the design and development of a new moisture meter. Agricultural Engineering. 45:370-372.
  25. Santos, A. O and O. Kaye. 2009. Grapevine leaf water potential based upon near infrared spectroscopy. Scientia Agricola. 66:287-292 https://doi.org/10.1590/S0103-90162009000300001
  26. Williams, P. C. 2001. Implementation of near-infrared technology. Near-infrared technology in the agricultural and food industries. 2:145-171.
  27. Wold, S., Sjostrom, M and L. Eriksson. 2001. PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems. 58(2):109-130. https://doi.org/10.1016/S0169-7439(01)00155-1

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