Abstract
We evaluated the electrical properties of cut apples with and without rot incidence. Cole–Cole plots were prepared from the frequency characteristics of the electrical impedance of sample tissues and used for the analysis of the rotten samples. The coordinates at the top of the circular arc in Cole–Cole plots of all samples showed a linear regression, and it was estimated that the coordinates were influenced by extracellular fluid resistance. The coordinates of the samples were grouped according to the absence or presence of rot. It was deduced that the decrease in the position of the coordinates was caused by metabolites produced by multiplied bacteria in extracellular fluids. We showed that the Cole–Cole plot coordinates have potential as a simple, low-cost, and quantitative marker to aid in the rapid discrimination of rot in cut apples. This approach could be developed for use in the detection of postharvest disease during fruit processing, aiding in the construction of a high-quality supply-chain, and food-safety management.
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References
W. Leibinger, B. Breuker, M. Hahn, K. Mendgen, Control of postharvest pathogens and colonization of the apple surface by antagonistic microorganisms in the field. Phytopathology 87(11), 1103–1110 (1997)
F. Qing, T. Shiping, Postharvest biological control of Rhizopus rot of nectarine fruits by Pichia membranefaciens. Plant Dis. 84(11), 1212–1216 (2000)
K.M. Emery, T.J. Michailides, H. Scherm, Incidence of latent infection of immature peach fruit by Monilinia fructicola and relationship to brown rot in Georgia. Plant Dis. 84(8), 853–857 (2000)
W.S. Conway, B. Leverentz, R.A. Saftner, W.J. Janisiewicz, C.E. Sams, E. Leblanc, Survival and growth of Listeria monocytogenes on fresh-cut apple slices and its interaction with Glomerella cingulata and Penicillium expansum. Plant Dis. 84(2), 177–181 (2000)
I. Jan, A. Rab, M. Sajid, Influence of calcium chloride on physical characteristics and soft rot incidence on fruit of apple cultivars. J. Anim. Plant Sci. 23(5), 1353–1359 (2013)
J.M. Wells, J.E. Butterfield, Salmonella contamination associated with bacterial soft rot of fresh fruits and vegetables in the marketplace. Plant Dis. 81(8), 867–872 (1997)
S.F. Vaughn, G.F. Spencer, B.S. Shasha, Volatile compounds from raspberry and strawberry fruit inhibit postharvest decay fungi. J. Food Sci. 58(4), 793–796 (1993)
F. Artes, A.J. Escriche, Intermittent warming reduces chilling injury and decay of tomato fruit. J. Food Sci. 59(5), 1053–1056 (1994)
A. Ippolito, A. El Ghaouth, C.L. Wilson, M. Wisniewski, Control of postharvest decay of apple fruit by Aureobasidium pullulans and induction of defense responses. Postharvest Biol. Technol. 19(3), 265–272 (2000)
W.J. Janisiewicz, L. Korsten, Biological control of postharvest diseases of fruits. Annu. Rev. Phytopathol. 40(1), 411–441 (2002)
L. Schena, F. Nigro, I. Pentimone, A. Ligorio, A. Ippolito, Control of postharvest rots of sweet cherries and table grapes with endophytic isolates of Aureobasidium pullulans. Postharvest Biol. Technol. 30(3), 209–220 (2003)
J. Song, P.D. Hildebrand, L. Fan, C.F. Forney, W.E. Renderos, L. Campbell-Palmer, C. Doucette, Effect of hexanal vapor on the growth of postharvest pathogens and fruit decay. J. food Sci. 72(4), M108–M112 (2007)
R.R. Sharma, D. Singh, R. Singh, Biological control of postharvest diseases of fruits and vegetables by microbial antagonists: a review. Biol. Control 50(3), 205–221 (2009)
J.K. Patil, R. Kumar, Advances in image processing for detection of plant diseases. J. Adv. Bioinform. Appl. Res. 2(2), 135–141 (2011)
A.Y. Khaled, S. Abd Aziz, S.K. Bejo, N.M. Nawi, I.A. Seman, D.I. Onwude, Early detection of diseases in plant tissue using spectroscopy–applications and limitations. Appl. Spectrosc. Rev. 53(1), 36–64 (2018)
Z. Li, N. Wang, G.V. Raghavan, C. Vigneault, Ripeness and rot evaluation of ‘Tommy Atkins’ mango fruit through volatiles detection. J. Food Eng. 91(2), 319–324 (2009)
H. Förster, J.E. Adaskaveg, Early brown rot infections in sweet cherry fruit are detected by Monilinia-specific DNA primers. Phytopathology 90(2), 171–178 (2000)
U. Pliquett, Bioimpedance: a review for food processing. Food Eng. Rev. 2, 74–94 (2010)
F.D. Walker, T. Takenaka, Electric impedance of neuroglia in vitro. Exp. Neurol. 11, 277–287 (1965)
E. Vozary, P. Laslo, G. Zsivanovits, Impedance parameter characterizing apple bruise. Ann N Y Acad. Sci. 873, 421–429 (1999)
M.I.N. Zhang, J.H.M. Willison, Electrical impedance analysis in plant tissues: the effect of freeze-thaw injury on the electrical properties of potato tuber and carrot root tissues. Can. J. Plant Sci. 72(2), 545–553 (1992)
Y. Ando, K. Mizutani, N. Wakatsuki, Electrical impedance analysis of potato tissues during drying. J. Food Eng. 121, 24–31 (2014)
K.S. Cole, Electric phase angle of cell membranes. J. Gen. Physiol. 15(6), 641–649 (1932)
T. Watanabe, T. Orikasa, H. Shono, S. Koide, Y. Ando, T. Shiina, A. Tagawa, The influence of inhibit avoid water defect responses by heat pretreatment on hot air drying rate of spinach. J. Food Eng. 168, 113–118 (2016)
T. Watanabe, Y. Ando, T. Orikasa, T. Shiina, K. Kohyama, Effect of short time heating on the mechanical fracture and electrical impedance properties of spinach (Spinacia oleracea L.). J. Food Eng. 194, 9–14 (2017)
T. Watanabe, Y. Ando, T. Orikasa, K. Kasai, T. Shiina, Electrical impedance estimation for apple fruit tissues during storage using Cole-Cole plots. J. Food Eng. 221, 29–34 (2018)
T. Watanabe, N. Nakamura, Y. Ando, T. Kaneta, H. Kitazawa, T. Shiina, Application and simplification of cell-based equivalent circuit model analysis of electrical impedance for assessment of drop shock bruising in Japanese pear tissues. Food Bioprocess Technol. 11(11), 2125–2129 (2018)
S. Tomita, T. Nemoto, Y. Matsuo, T. Shoji, F. Tanaka, H. Nakagawa, H. Ono, J. Kikuchi, M. Kameyama, Y. Sekiyama, A NMR-based, non-targeted multistep metabolic profiling revealed L-rhamnitol as a metabolite that characterised apples from different geographic origins. Food Chem. 174, 163–172 (2015)
E.L. Ulrich, H. Akutsu, J.F. Doreleijers, Y. Harano, E. Ioannidis, J. Lin, M. Livny, E. Nakatani, BioMagResBank. Nucleic Acids Res. 36(suppl_1), D402–D408 (2007)
S. Tomita, K. Saito, T. Nakamura, Y. Sekiyama, J. Kikuchi, Rapid discrimination of strain-dependent fermentation characteristics among Lactobacillus strains by NMR-based metabolomics of fermented vegetable juice. PLoS ONE 12(7), e0182229 (2017)
R.I. Hayden, C.A. Moyse, F.W. Calder, D.P. Crawford, D.S. Fensom, Electrical impedance studies on potato and alfalfa tissue. J. Exp. Bot. 20(2), 177–200 (1969)
E. Borges, A. P. Matos, J. M. Cardoso, C. Correia, T. Vasconcelos, N. Gomes, Early detection and monitoring of plant diseases by Bioelectric Impedance Spectroscopy. in Bioengineering (ENBENG), 2012 IEEE 2nd Portuguese Meeting, IEEE, pp. 1–4, (2012)
Y. Ando, Y. Maeda, K. Mizutani, N. Wakatsuki, S. Hagiwara, H. Nabetani, Effect of air-dehydration pretreatment before freezing on the electrical impedance characteristics and texture of carrots. J. Food Eng. 169, 114–121 (2016)
AOAC. Salmonella in food, automated conductance methods: AOAC official method 991.38. Official Methods of Analysis of AOAC International, 16th ed., Association of Official Analytical Chemists International, Gaithersburg, MD, (1996)
R. Gomez-Sjoberg, D.T. Morisette, R. Bashir, Impedance microbiology-on-a-chip: microfluidic bioprocessor for rapid detection of bacterial metabolism. J. Microelectromech. Syst. 14(4), 829–838 (2005)
L. Yang, R. Bashir, Electrical/electrochemical impedance for rapid detection of foodborne pathogenic bacteria. Biotechnol. Adv. 26(2), 135–150 (2008)
L. Yang, Electrical impedance spectroscopy for detection of bacterial cells in suspensions using interdigitated microelectrodes. Talanta 74(5), 1621–1629 (2008)
A. Halder, A.K. Datta, R.M. Spanswick, Water transport in cellular tissues during thermal processing. AIChE J. 57(9), 2574–2588 (2011)
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Some parts of this study were supported by a Japan Society for the Promotion of Science KAKENHI Grant-in-Aid for Young Scientists (B) [Grant Number JP 17K15352].
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Watanabe, T., Nakamura, N., Ota, N. et al. An electrical discrimination method for rot in fresh cut apples using Cole–Cole plots. Food Measure 13, 2130–2135 (2019). https://doi.org/10.1007/s11694-019-00133-4
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DOI: https://doi.org/10.1007/s11694-019-00133-4