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Development of non-destructive pungency measurement technique for red-pepper powder produced in different domestic origins

국내 원산지별 고춧가루의 매운맛 비파괴 측정기술 개발

  • Mo, Changyeun (National Academy of Agricultural Science, Rural Development Administration) ;
  • Lee, Kangjin (National Academy of Agricultural Science, Rural Development Administration) ;
  • Lim, Jong-Guk (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kang, Sukwon (National Academy of Agricultural Science, Rural Development Administration) ;
  • Lee, Hyun-Dong (National Academy of Agricultural Science, Rural Development Administration) ;
  • Cho, Byoung-Kwan (Department. of Biosystems Machinery Engineering, Chungnam National University)
  • 모창연 (농촌진흥청 국립농업과학원) ;
  • 이강진 (농촌진흥청 국립농업과학원) ;
  • 임종국 (농촌진흥청 국립농업과학원) ;
  • 강석원 (농촌진흥청 국립농업과학원) ;
  • 이현동 (농촌진흥청 국립농업과학원) ;
  • 조병관 (충남대학교 바이오시스템기계공학과)
  • Received : 2012.11.07
  • Accepted : 2012.12.20
  • Published : 2012.12.31

Abstract

In this research, the feasibility of non-destructive measurement technique of pungency measurement was investigated for the red-pepper powders produced in different domestic areas in South Korea. The near-infrared absorption spectra in the range of 1100 nm~2300 nm was used to measure capsaicinoids content in red-pepper powders by using a NIR spectroscopy equipped with Acousto-optic tunable filters (AOTF). Fourth three different red-pepper powders from 14 different locations were collected and separated in three different particle size (below 0.425 mm, 0.425~0.71 mm, 0.71~1.4 mm) for the spectral measurements. The partial least square regression (PLSR) models to predict the capsaicinoids content depends on particle size were developed with the measured spectra. The determinant coefficients and standard errors of the developed models for the red-pepper powders of below 0.425 mm, 0.425~0.71 mm, and 0.71~1.4 mm were in the range of 0.859~0.887 and 12.90~12.99 mg/100 g, respectively. The PLS model with the pretreatment of Standard Normal Variate (SNV) for the red-pepper powders below 1.4 mm particle size showed the best performance with the determinant coefficient of 0.844 and the standard error of 14.63 mg/100 g.

Keywords

References

  1. ASTA. 1997. Official analytical method of the american spice trade association. 4th Edition Method 21.3, American Spice Trade Association, Englewood Cliffs, NJ, USA.
  2. Barbero GF, Liazid A, Palma M, Barroso CG. 2008. Fast determination of capsaicinoids from peppers by high-performance liquid chromatography using a reversed phase monolithic column. Food Chemistry 107:1276-1282. https://doi.org/10.1016/j.foodchem.2007.06.065
  3. Cho RK, Hong JH, Kim HK, Park MH. 1990. Rapid quality evaluation of dried red pepper by near-infrared spectroscopy. Korean Journal of Food Science and Technology 22:675-680.
  4. Ha JH, Han KJ, Kim KJ, Jeong SW. 2008. Gas chromatography analysis of capsaicin in gochujang. Journal of AOAC International 91:387-391.
  5. Kachoosangi RT, Wildgoose GG, Compton RG. 2008. Carbon nanotube-based electrochemical sensors for quantifying the 'heat' of chilli peppers: the adsorptive stripping voltammetric determination of capsaicin. Analyst. 133:888-895. https://doi.org/10.1039/b803588a
  6. Kawano S, Fujiwara T, Iwamoto M. 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
  7. Kim SA, Kim KS, Park JB. 2006. Changes of various chemical components by the difference of the degree of ripening and harvesting factors in two single-harvested peppers (Capsicum annuum, L.). Korean Journal of Food Science and Technology 38:615-620.
  8. Korel F, Bagdatlioglu N, Balaban MO, Hisil Y. 2002. Ground red peppers: capsaicinoids content, scoville scores, and discrimination by an electronic nose. Journal of Agricultural and Food Chemistry 50:3257-3261. https://doi.org/10.1021/jf010537b
  9. Lee KJ, Kang S, Choi KH. 2004. Nondestructive quality measurement of fruits and vegetables using near-infrared spectroscopy. Food Engineering Progress 8:158-169.
  10. Lee SM, Kim SU, Park JB, Hwang IK. 2005. Prediction of chemical compositions for on-line quality measurement of red pepper powder using near infrared reflectance spectroscopy (NIRS). Food Science and Biotechnology 14:280-285.
  11. Noh SH, Kim WK, Lee JH. 1997. Nondestructive Measurement of sugar-acid contents in fruits using spectral reflectance. Journal of the Korean Society for Agricultural Machinery 22:247-255.
  12. Mo C, Kang S, Lee K, Lim JG, Cho BK, Lee HD. 2011. Development of prediction model for Capsaicinoids content in red-pepper powder using Near-infrared - particle size effect. Food Engineering Progress 15:48-55.
  13. Park MJ. 2004. Research about ascorbic acid and capsaicin of red pepper from korea. Master degree thesis. Yeungnam Univ., Gyeoungsan, Korea.
  14. Shin HH, Lee SR. 1991. Quality attributes of korean red pepper according to cultivars and growing areas. Korean Journal of Food Science and Technology 23:296-300.
  15. Son JR, Lee KJ, Kang S, Kim G, Yang GM, Mo CY, Seo Y. 2009. Development of prediction models for nondestructive measurement of sugar content in sweet persimmon. Journal of Biosystems Engineering 34:197-203. https://doi.org/10.5307/JBE.2009.34.3.197

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  2. Characterization of Red Peppers (Capsicum annuum) by High-performance Liquid Chromatography and Near-infrared Spectroscopy vol.50, pp.13, 2017, https://doi.org/10.1080/00032719.2016.1265532
  3. Determination of Capsaicinoids in Red Pepper Products from South Korea by High-Performance Liquid Chromatography with Fluorescence Detection vol.51, pp.9, 2018, https://doi.org/10.1080/00032719.2017.1376679