Journal of Innovative Optical Health Sciences, 2017, 10 (3): 1650053, Published Online: Dec. 27, 2018  

Nondestructive classification of mung bean seeds by single kernel near-infrared spectroscopy

Author Affiliations
1 Department of Agricultural Engineering, Faculty of Engineering at Kamphaengsaen, Kasetsart University, Kamphaengsaen, Nakhon Pathom, 73140 Thailand
2 Kasetsart Agricultural and Agro-Industrial, Product Improvement Institute, Kasetsart University, Bangkok, 10900 Thailand
Abstract
Near-infrared spectroscopy (NIRS) in the range 900–1700 nm was performed to develop a classifying model for dead seeds of mung bean using single kernel measurements. The use of the combination of transmission-absorption spectra and reflection-absorption spectra was determined to yield a better classification performance (87.88%) than the use of only transmissionabsorption spectra (81.31%). The effect of the orientation of the mung bean with respect to the light source on its absorbance was investigated. The results showed that hilum-down orientation exhibited the highest absorbance compared to the hilum-up and hilum-parallel-to-ground orientations. We subsequently examined the spectral information related to the seed orientation by developing a classifying model for seed orientation. The wavelengths associated with classification based on seed orientation were obtained. Finally, we determined that the re-developed classifying model excluding the wavelengths related to the seed orientation afforded better accuracy (89.39%) than that using the entire wavelength range (87.88%).
References

[1] T. El-Adawy, E. Rahma, A. El-Bedawey, A. El-Beltagy , “Nutritional potential and functional properties of germinated mung bean, pea and lentil seeds,” Plant Food Hum. Nutr. 58, 1–13 (2003). Crossref, ISI,

[2] D. Tang, Y. Dong, H. Ren, L. Li, C. He , “A review of phytochemistry, metabolite changes, and medicinal uses of the common food mung bean and its sprouts (Vigna radiata),” Chem. Cent. J. 8 (4), 1–9 (2014). ISI,

[3] P. N. Chiangmai, P. Laosuwan, A. W. Anyuwat , “The effect of mung bean seed size on germination ability, bean sprout production and agronomic characters,” Silpakorn Univ. Int. J. 6 (1–2), 170–189 (2006).

[4] F. M. Rodriguez, E. M. T. Mendoza , “Physicochemical basis for hardseededness in mung bean (Vigna radiata (L.) Wilczek),” J. Agric. Food Chem. 38 (1), 29–32 (1990). Crossref, ISI,

[5] G. Downey, J. Boussion , “Authentication of coffee bean variety by near-infrared reflectance spectroscopy of dried extract,” J. Sci. Food Agric. 71, 41–49 (1996). Crossref, ISI,

[6] S. R. Delwiche, L. O. Pordesimo, A. M. Scaboo, V. R. Pantalone , “Measurement of inorganic phosphorus in soybeans with near-infrared spectroscopy,” J. Agric. Food Chem. 54, 6951–6956 (2006). Crossref, ISI,

[7] Hacisalihoglu, B. Larbi, A. M. Settles , “Near-infrared reflectance spectroscopy predicts protein, starch, and seed weight in intact seeds of common bean (Phaseolus vulgaris L.),” J. Agric. Food Chem. 58, 702–706 (2010). Crossref, ISI,

[8] S. A. Haughey, S. F. Graham, E. Cancouet, C. T. Elliott , “The application of Near-Infrared Reflectance Spectroscopy (NIRS) to detect melamine adulteration of soya bean meal,” J. Food Chem. 136, 1557–1561 (2013). Crossref, ISI,

[9] S. Kaliramesh, V. Chelladurai, D. S. Jayas, K. Alagusundaram, N. D. G. White, P. G. Fields , “Detection of infestation by Callosobruchus maculatus in mung bean using near-infrared hyperspectral imaging,” J. Stored Prod. Res. 52, 107–111 (2013). Crossref, ISI,

[10] Y. Y. Lee, J. B. Kim, S. Y. Lee, M. H. Kim, J. W. Lee, H. S. Lee, H.C. Ko, D.Y. Hyun, J. G. Gwag, C. K. Kim, Y. B. Lee , “Determination of seed fatty acids using near-infrared reflectance spectroscopy (NIR) in mung bean (Vigna radiata) germplasm,” Korean J. Food Nutr. 23 (4), 582–587 (2010).

[11] L. J. Wang, S. C. Liu, Y. Yao, G. X. Ren, X. Z. Cheng , “The development of near-infrared reflectance spectroscopy (NIRS) prediction model for the quality components of flour and intact seed in mungbean,” J. Plant Genet. Resour. 14 (5), 833–838 (2013).

[12] J. Wang, H. Liu, G. Ren , “Near-infrared spectroscopy (NIRS) evaluation and regional analysis of Chinese faba bean (Vicia faba L.),” Crop J. 2, 28–37 (2014). Crossref,

[13] Y. Dong, S. Y. Qu , “Nondestructive method for analysis of the soybean quality,” Int. J. Food Eng. 8 (4), 1–6 (2012). Crossref, ISI,

[14] M. Tigabu, P. C. Oden , “Simultaneous detection of filled, empty and insect infested seeds of three Larix species with single seed near-infrared transmittance spectroscopy,” New Forest 27, 39–53 (2004). Crossref, ISI,

[15] ISTA, International rule for seed testing, Handbook on Seeding Evaluation, 3rd Edition, Zurich, Switzerland (2006).

[16] K. H. S. Peiris, M. O. Pumphrey, F. E. Dowell , “NIR absorbance characteristics of deoxynivalenol and of sound and Fusarium-damaged wheat kernels,” J. Near Infrared Spec. 17, 213–221 (2009). Crossref, ISI,

[17] P. Williams , Grains and seeds, Near-Infrared Spectroscopy in Food Science and Technology, Y. OzakiW. F. McClureA. A. Christy, Eds., pp. 165–217, John Wiley & Sons, US (2007).

[18] J. Workman, L. Weyer , Practical Guide to Interpretive Near-Infrared Spectroscopy, CRC Press, Boca Raton, FL, USA (2008).

[19] B. Osborne, T. Fearn, P. H. Hindle , Practical NIR Spectroscopy with Applications in Food and Beverage Analysis, Longman Scientific and Technical, Harlow, UK (1993).

Kaewkarn Phuangsombut, Nattaporn Suttiwijitpukdee, Anupun Terdwongworakul. Nondestructive classification of mung bean seeds by single kernel near-infrared spectroscopy[J]. Journal of Innovative Optical Health Sciences, 2017, 10(3): 1650053.

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