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Hyperspectral imaging technology for monitoring of moisture contents of dried persimmons during drying process

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Abstract

The moisture content of persimmons during drying was monitored by hyperspectral imaging technology. All persimmons were dried using a hot-air dryer at 40 °C and divided into seven groups according to drying time: semi-dried persimmons (Cont), 1 day (DP-1), 2 days (DP-2), 3 days (DP-3), 4 days (DP-4), 5 days (DP-5), and 6 days (DP-6). Shortwave infrared hyperspectral spectra and moisture content of all persimmons were analyzed to develop a prediction model using partial least squares regression. There were obvious absorption bands: two at approximately 971 nm and 1452 nm were due to water absorption related to O–H stretching of the second and first overtones, respectively. The R-squared value of the optimal calibration model was 0.9673, and the accuracy of the moisture content measurement was 95%. These results indicate that hyperspectral imaging technology can be used to predict and monitor the moisture content of dried persimmons during drying.

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References

  • Barnes RJ, Dhanoa MS, Lister SJ. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl. Spectrosc. 43: 772-777 (1989)

    Article  CAS  Google Scholar 

  • Cárcel JA, García-Pérez JV, Sanjuán NA, Mulet A. Influence of pre-treatment and storage temperature on the evolution of the colour of dried persimmon. LWT Food Sci. Technol. 43: 1191-1196 (2010)

    Article  Google Scholar 

  • Chen H, Song Q, Tang G, Feng Q, Lin L. The combined optimization of Savitzky-Golay smoothing and multiplicative scatter correction for FT-NIR PLS models. ISRN Spectroscopy 642190: 1-9 (2013)

    Article  Google Scholar 

  • Eady MB, Park B, Yoon SC, Haidekker MA, Lawrence KC. Methods for hyperspectral microscope calibration and spectra normalization from images of bacteria cells. ASABE 61: 437-448 (2018)

    Article  CAS  Google Scholar 

  • Elmasry G, Wang N, Elsayed A, Ngadi M. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry. J. Food Eng. 81: 98-107 (2007)

    Article  CAS  Google Scholar 

  • Feng CH, Makino Y, Oshita S, García-Martín JF. Hyperspectral imaging and multispectral imaging as the novel techniques for detecting defects in raw and processed meat products: current state-of-the-art research advances. Food Control 84: 165-176 (2018a)

    Article  Google Scholar 

  • Feng CH, Makino Y, Yoshimura M, Rodríguez-Pulido FJ. Estimation of adenosine triphosphate content in ready-to-eat sausages with different storage days using hyperspectral imaging coupled with R statistics. Food Chem. 264: 419-426 (2018b)

    Article  CAS  Google Scholar 

  • Huang M, Wanga Q, Zhang M, Zhu Q. Prediction of color and moisture content for vegetable soybean during drying using hyperspectral imaging technology. J. Food Eng. 128: 24-30 (2014a)

    Article  Google Scholar 

  • Huang Y, Min S, Duan J, Wu L, Li Q. Identification of additive components in powdered milk by NIR imaging methods. Food Chem. 145: 278-283 (2014b)

    Article  CAS  Google Scholar 

  • Moon KD, Lee NH, Kim JK, Kim JH. Chemical compositions and microscopic observation of white powder formed in the surface of dried persimmon. J. Korean Soc. 11: 1-5 (1996)

    Google Scholar 

  • Munera S, Besada C, Blasco J, Cubero S, Salvador A, Talens P, Aleixos N. Astringency assessment of persimmon by hyperspectral imaging. Postharvest Biol. Tec. 125: 35-41 (2017)

    Article  CAS  Google Scholar 

  • Nicoleti JF, Silveira V, Telis-Romero J, Telis VRN Viscoelastic behaviour of persimmons dried at constant air temperature. LWT Food Sci. Technol. 38: 143-150 (2005)

    Article  CAS  Google Scholar 

  • Pu YY, Sun DW. Prediction of moisture content uniformity of microwave-vacuum dried mangoes as affected by different shapes using NIR hyperspectral imaging. Innov. Food Sci. Emerg. 33: 348-356 (2016)

    Article  Google Scholar 

  • Taghizadeh M, Gowen A, O’Donnell C. Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging. Sens. Instrum. Food Qual. Saf. 3: 219-226 (2009)

    Article  Google Scholar 

  • Tasi F, Philpot W. Derivative Analysis of Hyperspectral Data. Remote Sens. Environ. 66: 41-51 (1998)

    Article  Google Scholar 

  • Wei X, Liu F, Qiu Z, Shao Y, He Y. Ripeness classification of astringent persimmon using hyperspectral imaging technique. Food Bioproc. Tech. 7: 1371-1380 (2014)

    Article  Google Scholar 

  • Yang Y, Zhuang H, Yoon SC, Wang W, Jiang H, Jia B, Li C. Quality Assessment of Intact Chicken Breast Fillets Using Factor Analysis with Vis/NIR Spectroscopy. Food Anal. Method. 11: 1356-1366 (2018)

    Article  Google Scholar 

  • Zhao HS, Zhu XC, Li C, Wei Y, Zhao GX, Jiang YM. Improving the accuracy of the hyperspectral model for apple canopy water content prediction using the equidistant sampling method. Scientific Reports 7: 11192 (2017)

    Article  Google Scholar 

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Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2016R1D1A3A03919883).

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Authors and Affiliations

  1. United States Department of Agriculture, Agricultural Research Service, 950 College Station Rd, Athens, GA, 30605, USA

    Jeong-Seok Cho

  2. Department of Food Science and Technology, Kyungpook National University, 80 Daehak-ro, Daegu, 41566, South Korea

    Ji-Young Choi & Kwang-Deog Moon

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  1. Jeong-Seok Cho
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  2. Ji-Young Choi
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Correspondence to Kwang-Deog Moon.

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Cho, JS., Choi, JY. & Moon, KD. Hyperspectral imaging technology for monitoring of moisture contents of dried persimmons during drying process. Food Sci Biotechnol 29, 1407–1412 (2020). https://doi.org/10.1007/s10068-020-00791-x

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