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Feasibility Study for an Optical Sensing System for Hardy Kiwi (Actinidia arguta) Sugar Content Estimation

  • Lee, Sangyoon (Department of Bio-Industrial Machinery Engineering, Gyeongsang National University (Institute of Agriculture and Life Science)) ;
  • Sarkar, Shagor (Department of Bio-Industrial Machinery Engineering, Gyeongsang National University (Institute of Agriculture and Life Science)) ;
  • Park, Youngki (Forest Medicinal Resources Research Center, National Institute of Forest Science) ;
  • Yang, Jaekyeong (Department of Environmental Materials Science, Gyeongsang National University (Institute of Agriculture and Life Science)) ;
  • Kweon, Giyoung (Department of Bio-Industrial Machinery Engineering, Gyeongsang National University (Institute of Agriculture and Life Science))
  • 투고 : 2019.03.11
  • 심사 : 2019.04.09
  • 발행 : 2019.06.30

초록

In this study, we tried to find out the most appropriate pre-processing method and to verify the feasibility of developing a low-price sensing system for predicting the hardy kiwis sugar content based on VNIRS and subsequent spectral analysis. A total of 495 hardy kiwi samples were collected from three farms in Muju, Jeollabukdo, South Korea. The samples were scanned with a spectrophotometer in the range of 730-2300 nm with 1 nm spectral sampling interval. The measured data were arbitrarily separated into calibration and validation data for sugar content prediction. Partial least squares (PLS) regression was performed using various combinations of pre-processing methods. When the latent variable (LV) was 8 with the pre-processing combination of standard normal variate (SNV) and orthogonal signal correction (OSC), the highest R2 values of calibration and validation were 0.78 and 0.84, respectively. The possibility of predicting the sugar content of hardy kiwi was also examined at spectral sampling intervals of 6 and 10 nm in the narrower spectral range from 730 nm to 1200 nm for a low-price optical sensing system. The prediction performance had promising results with R2 values of 0.84 and 0.80 for 6 and 10 nm, respectively. Future studies will aim to develop a low-price optical sensing system with a combination of optical components such as photodiodes, light-emitting diodes (LEDs) and/or lamps, and to locate a more reliable prediction model by including meteorological data, soil data, and different varieties of hardy kiwi plants.

키워드

참고문헌

  1. An X, Lee SG, Kang H, Heo HJ, Cho YS and Kim DO. 2016. Antioxidant and anti-inflammatory effects of various cultivars of kiwi berry (Actinidia arguta) on lipopolysaccharide-stimulated RAW 264.7 cells. J. of Microbiol. and Biotechnol. 26: 1367-1374. https://doi.org/10.4014/jmb.1603.03009
  2. Aukrust O. 1970. PRIM I: A model of the price and income distribution mechanism of an open economy. The Rev. of Income and wealth 16: 51-78. https://doi.org/10.1111/j.1475-4991.1970.tb00696.x
  3. Bieniek A, Draganska E and Pranckietis V. 2016. Assesment of climatic conditions for Actinidia arguta cultivation in north-eastern Poland. Zemdirbyste-Agric. 103: 311-318. https://doi.org/10.13080/z-a.2016.103.040
  4. Blanco M and Villarroya I. 2002. NIR spectroscopy: a rapid response analytical tool. Trend in Analytical Chem. 21: 240-250. https://doi.org/10.1016/S0165-9936(02)00404-1
  5. Bureau S, Ruiz D, Reich M, Gouble B, Bertrand D, Audergon JM and Renard CM. 2009. Rapid and nondestructive analysis of apricot fruit quality using FTnear-infrared spectroscopy. Food Chem. 113: 1323-1328. https://doi.org/10.1016/j.foodchem.2008.08.066
  6. Chang CW, Laird DA, Mausbach MJ and Hurburgh Jr. CR. 2001. Near-infrared reflectance spectroscopy-principal components regression analysis of soil properties. Soil Sci. Soc. of Am. J. 65: 480-490. https://doi.org/10.2136/sssaj2001.652480x
  7. Gautier H, Diakou-Verdin V, Benard C, Reich M, Buret M, Bourgaud F and Genard M. 2008. How does tomato quality (sugar, acid, and nutritional quality) vary with ripening stage, temperature, and irradiance. J. of Agric. and Food Chem. 56: 1241-1250. https://doi.org/10.1021/jf072196t
  8. Golic M and Walsh KB. 2006. Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stone fruit for total soluble solids content. Analytica Chimica Acta. 555: 286-291. https://doi.org/10.1016/j.aca.2005.09.014
  9. Ha JS, Jin DE, Park SK, Park CH, Seung TW, Bae DW and Heo HJ. 2015. Antiamnesic effect of Actinidia arguta extract intake in a mouse model of TMT-induced learning and memory dysfunction. Evidence-Based Complementary and Alternative Medicine: v2015, Article ID 876484. pp.13.
  10. Harel-Beja R, Tzuri G, Portnoy V, Lotan-Pompan M, Lev S, Cohen S and Avisar E. 2010. A genetic map of melon highly enriched with fruit quality QTLs and EST markers, including sugar and carotenoid metabolism genes. Theoretical and Appl. Genetics. 121: 511-533. https://doi.org/10.1007/s00122-010-1327-4
  11. Hu W, Sun DW and Blasco J. 2017. Rapid monitoring 1-MCP-induced modulation of sugars accumulation in ripening 'Hayward' kiwifruit by Vis/NIR hyperspectral imaging. Postharvest Biol. and Technol. 125: 168-180. https://doi.org/10.1016/j.postharvbio.2016.11.001
  12. Huh KO and Park SY. 2007. Consumers' behavior in the purchase of well-being products by lifestyle. Korean Academic Soc. of Business Administration. 1-25.
  13. Jenny G, Mark H, Anna J, Inger K, Douglas M and Roland M. 2002. Evaluation of redox indicators and the use of digital scanners and spectrophotometer for quantification of microbial growth in microplates. J. of Microbiol. methods. 50: 63-73. https://doi.org/10.1016/S0167-7012(02)00011-8
  14. Kalaj YR, Geyer M and Herppich WB. 2018. NonDestructive evaluation of edible coatings effects on keeping quality of european plums (Prunus domestica L.) by laser light backscattering imaging. ErwerbsObstbau. 1-10.
  15. Kawachi N, Kikuchi K, Suzui N, Ishii S, Fujimaki S, Ishioka NS and Watabe H. 2011. Imaging of carbon translocation to fruit using carbon-11-labeled carbon dioxide and positron emission tomography. IEEE Trans. on Nuclear Sci. 58: 395-399. https://doi.org/10.1109/TNS.2011.2113192
  16. Kim AN, Kim HJ, Chun J, Heo HJ, Kerr WL and Choi SG. 2018. Degradation kinetics of phenolic content and antioxidant activity of hardy kiwifruit (Actinidia arguta) puree at different storage temperatures. Food Sci. and Technol. 89: 535-541.
  17. Kuznets S. 1955. Economic growth and income inequality. The Am. Economic Rev. 1-28.
  18. Kweon G. 2012. Toward the ultimate soil survey: sensing multiple soil and landscape properties in one pass. Agron. J. 104: 1547-1557. https://doi.org/10.2134/agronj2012.0156
  19. Michalik JK and Sloan NY. 1987. Automatic refractometer. US patent 4,640,616.
  20. Noh SH. 2000. Assessment of internal quality in fruits using Near-Infrared Reflectance spectroscopy. The Korean Soc. of Food Sci. and Nutrition. 124-137.
  21. Ohno N, Suzuki I, Oikawa S, Sato K, Miyazaki T and Yadomae T. 1984. Antitumor activity and structural characterization of glucans extracted from cultured fruit bodies of Grifola frondosa. Chem. and pharmaceutical bulletin. 32: 1142-1151. https://doi.org/10.1248/cpb.32.1142
  22. Pissard A, Baeten V, Dardenne P, Dupont P and Lateur M. 2018. Use of NIR spectroscopy on fresh apples to determine the phenolic compounds and dry matter content in peel and flesh. Biotech., Agron., Soc. and Environ. 22: 3-12.
  23. Rambla FJ, Garrigues S and de la Guardia M. 1997. PLS-NIR determination of total sugar, glucose, fructose and sucrose in aqueous solutions of fruit juices. Analytica Chimica Acta. 344: 41-53. https://doi.org/10.1016/S0003-2670(97)00032-9
  24. Rodriguez-Saona LE, Fry FS, McLaughlin MA and Calvey EM. 2001. Rapid analysis of sugars in fruit juices by FT-NIR spectroscopy. Carbohydrate Res. 336: 63-74. https://doi.org/10.1016/S0008-6215(01)00244-0
  25. Sohn KH, Kim BK, Kim JY, Song WJ, Kang HR, Park HW and Min KU. 2017. Fixed food eruption caused by Actinidia arguta (hardy kiwi): a case report and literature review. Allergy, asthma & immunology res. 9: 182-184. https://doi.org/10.4168/aair.2017.9.2.182
  26. Stevens JS and Schroeder SL. 2009. Quantitative analysis of saccharides by X-ray photoelectron spectroscopy. Surface and Interface Analysis. 41: 453-462. https://doi.org/10.1002/sia.3047
  27. Wolpert JA, Howell GS and Mansfield TK. 1983. Sampling Vidal blanc grapes. I. Effect of training system, pruning severity, shoot exposure, shoot origin, and cluster thinning on cluster weight and fruit quality. Am. J. of Enology and Viticulture. 34: 72-76.

피인용 문헌

  1. A Comparative Study of PLSR and SVM-R with Various Preprocessing Techniques for the Quantitative Determination of Soluble Solids Content of Hardy Kiwi Fruit by a Portable Vis/NIR Spectrometer vol.9, pp.8, 2019, https://doi.org/10.3390/foods9081078