2 Background
2.5 Conclusion
In this chapter it has been shown that detection of soft rot was attempted for over 40 years with the use of GC or GC-MS. The outcome of the studies at best provided inconclusive results. However, gas analysis technologies could be employed as diagnostics techniques for pre-symptomatic detection and monitoring of potato soft rot. The hypothesis is that these techniques could offer a practical and cost-effective engineering alternative to GC or GC-MS. These could also address two of the main suggestions for further work proposed by other researchers: overall increase of volatiles over time and identification of specific markers, both to be associated to soft rot inception and spread. Moreover, gas sensing instruments are mature technologies that have been in use over many years and thus could operate reliably in harsher environmental conditions, such as those of commercial store facilities.
2.6 References
AHDB Potatoes, 2012. War on waste in the potato supply chain. [WWW Document]. URL http://www.potato.org.uk/news/war-waste-potato-supply- chain
Aksenov, A.A., Pasamontes, A., Peirano, D.J., Zhao, W., Dandekar, A.M., Fiehn, O., Ehsani, R., Davis, C.E., 2014. Detection of Huanglongbing disease using
differential mobility spectrometry. Anal. Chem. 86, 2481–8. doi:10.1021/ac403469y
Bacterial Rots of Potato Tubers, 2009. FERA, The Food and Environment Research Agency, York, UK.
Biondi, E., Blasioli, S., Galeone, A., Spinelli, F., Cellini, A., Lucchese, C., Braschi, I., 2014. Detection of potato brown rot and ring rot by electronic nose: from laboratory to real scale. Talanta 129, 422–30. doi:10.1016/j.talanta.2014.04.057 Blasioli, S., Biondi, E., Samudrala, D., Spinelli, F., Cellini, A., Bertaccini, A.,
Cristescu, S.M., Braschi, I., 2014. Identification of volatile markers in potato brown rot and ring rot by combined GC-MS and PTR-MS techniques: study on in vitro and in vivo samples. J. Agric. Food Chem. 62, 337–47.
doi:10.1021/jf403436t
Borsdorf, H., Eiceman, G.A., 2006a. Ion Mobility Spectrometry: Principles and Applications. Appl. Spectrosc. Rev. 41, 323–375.
doi:10.1080/05704920600663469
Borsdorf, H., Eiceman, G.A., 2006b. Ion Mobility Spectrometry: Principles and Applications. Appl. Spectrosc. Rev. 41, 323–375.
doi:10.1080/05704920600663469
USA.
Czajkowski, R., Pérombelon, M., Jafra, S., Lojkowska, E., Potrykus, M., van der Wolf, J., Sledz, W., 2015. Detection, identification and differentiation of Pectobacterium and Dickeya species causing potato blackleg and tuber soft rot: a review. Ann. Appl. Biol. 166, 18–38. doi:10.1111/aab.12166
Czajkowski, R., Pérombelon, M.C.M., van Veen, J.A., van der Wolf, J.M., 2011. Control of blackleg and tuber soft rot of potato caused by Pectobacterium and Dickeya species: a review. Plant Pathol. 60, 999–1013. doi:10.1111/j.1365- 3059.2011.02470.x
De Boer, S.H., 2004. Blackleg of potato. Plant Heal. Instr. doi:10.1094/PHI-I-2004- 0712-01
de Lacy Costello, B.P.J., Evans, P., Ewen, R.J., Gunson, H.E., Jones, P.R.H., Ratcliffe, N.M., Spencer-Phillips, P.T.N., 2001. Gas chromatography-mass spectrometry analyses of volatile organic compounds from potato tubers inoculated with Phytophthora infestans or Fusarium coeruleum. Plant Pathol. 50, 489–496. doi:10.1046/j.1365-3059.2001.00594.x
de Lacy Costello, B.P.J., Evans, P., Ewen, R.J., Gunson, H.E., Ratcliffe, N.M., Spencer-Phillips, P.T.N., 1999. Identification of volatiles generated by potato tubers (Solanum tuberosum CV: Maris Piper) infected by Erwinia carotovora, Bacillus polymyxa and Arthrobacter sp. Plant Pathol. 48, 345–351.
doi:10.1046/j.1365-3059.1999.00357.x
de Lacy Costello, B.P.J., Ewen, R.J., Gunson, H.E., Ratcliffe, N.M., Spencer- Phillips, P.T.N., 2000. The development of a sensor system for the early
detection of soft rot in stored potato tubers. Meas. Sci. Technol. 11, 1685–1691. doi:10.1088/0957-0233/11/12/305
Duarte, V., De Boer, S.H., Ward, L.J., Oliveira, A.M.R., 2004. Characterization of atypical Erwinia carotovora strains causing blackleg of potato in Brazil. J. Appl. Microbiol. 96, 535–545. doi:10.1111/j.1365-2672.2004.02173.x
EU law and other public EU documents, 1999. Council Directive 1999/13/EC of 11 March 1999 [WWW Document]. URL http://eur-lex.europa.eu/legal-
content/EN/TXT/?uri=CELEX%3A31999L0013 (accessed 10.9.16). European Environment Agency, 2016. VOC [WWW Document]. URL
http://www.eea.europa.eu/themes/air/air-quality/resources/glossary/voc (accessed 10.9.16).
Figaro Engineering Inc, 2016. Operating Principles of Metal Oxide Gas Sensors [WWW Document]. URL
http://www.figaro.co.jp/en/technicalinfo/principle/mos-type.html (accessed 5.8.16).
Figaro Engineering Inc, 2015. Technical Information for Volatile Organic Compound (VOC) Sensors.
Fine, G.F., Cavanagh, L.M., Afonja, A., Binions, R., 2010. Metal oxide semi- conductor gas sensors in environmental monitoring. Sensors (Basel). 10, 5469– 502. doi:10.3390/s100605469
Hodgkinson, J., Tatam, R.P., 2013. Optical gas sensing: a review. Meas. Sci. Technol. 24, 12004. doi:10.1088/0957-0233/24/1/012004
Ion Science Ltd, n.d. Tiger VOC Detector [WWW Document]. URL
http://www.ionscience.com/products/tiger-handheld-voc-gas-detector (accessed 5.6.16).
Jansen, R.M.C., Wildt, J., Kappers, I.F., Bouwmeester, H.J., Hofstee, J.W., van Henten, E.J., 2011. Detection of diseased plants by analysis of volatile organic
compound emission. Annu. Rev. Phytopathol. 49, 157–74. doi:10.1146/annurev-phyto-072910-095227
Kushalappa, A.C., Lui, L.H., Chen, C.R., Lee, B., 2002. Volatile Fingerprinting ( SPME-GC-FID ) to Detect and Discriminate Diseases of Potato Tubers. Plant Dis.
Kushalappa, A.C., Zulfiquar, M., 2001. Effect of wet incubation time and
temperature on infection, and of storage time and temperature on soft rot lesion expansion in potatoes inoculated with Erwinia carotovora ssp.carotovora. Potato Res. 44, 233–242. doi:10.1007/BF02357901
Leite, L.N., de Haan, E.G., Krijger, M., Kastelein, P., van der Zouwen, P.S., van den Bovenkamp, G.W., Tebaldi, N.D. and van der Wolf, J.M., 2014. First report of potato blackleg caused by Pectobacterium carotovorum subsp. brasiliensis in the Netherlands. New Dis. Reports 24. doi:http://dx.doi.org/10.5197/j.2044- 0588.2014.029.024
Lui, L.H., Vikram, A., Abu-Nada, Y., Kushalappa, A.C., Raghavan, G.S. V., Al- Mughrabi, K., 2005. Volatile metabolic profiling for discrimination of potato tubers inoculated with dry and soft rot pathogens. Am. J. Potato Res. 82, 1–8. doi:10.1007/BF02894914
Lyew, D., Gariépy, Y., Raghavan, G.S.V., Kushalappa, A.C., 2001. Changes in volatile production during an infection of potatoes by Erwinia carotovora. Food Res. Int. 34, 807–813. doi:10.1016/S0963-9969(01)00102-8
Lyew, D., Gariépy, Y., Ratti, C., Raghavan, G.S. V., Kushalappa, A.C., 1999. An apparatus to sample volatiles in a commercial storage facility. Appl. Eng. Agric. 15, 243–247.
http://www.membrapor.ch/electrochemical-gas-sensors/ (accessed 5.9.16). Nei, L., 2007. Some Milestones in the 50-year History of Electrochemical Oxygen
Sensor Development, in: ECS Transactions. ECS, pp. 33–38. doi:10.1149/1.2409016
Ouellette, E., Raghavan, G.S.V., Reeleder, R.D., Greenhalgh, R., 1990. Volatile Monitoring Technique For Disease Detection In Stored Potatoes. J. Food Process. Preserv. 14, 279–300. doi:10.1111/j.1745-4549.1990.tb00134.x Panda, P., Fiers, M.A.W.J., Armstrong, K., Pitman, A.R., 2012. First report of
blackleg and soft rot of potato caused by Pectobacterium carotovorum subsp . brasiliensis in New Zealand. New Dis. Reports 15.
Pearce, T.C., 1997. Computational parallels between the biological olfactory
pathway and its analogue `The Electronic Nose’: Part II. Sensor-based machine olfaction. Biosystems 41, 69–90. doi:10.1016/S0303-2647(96)01660-7
Peters, J., Toth, I., Wale, S., 2012. Managing the risk of blackleg and soft rot. Sutton Bridge, Spalding, Lincs. PE12 9YD.
Pitman, A.R., Harrow, S.A., Visnovsky, S.B., 2010. Genetic characterisation of Pectobacterium wasabiae causing soft rot disease of potato in New Zealand. Eur. J. Plant Pathol. 126, 423–435. doi:10.1007/s10658-009-9551-y
R. A. Ramussen, 1972. A Quantitative Cryogenic Sampler. Am Lab 20, 19–27. RAE Systems - Honewell Inc, 2005. Application Note AP-000. USA.
Rastovski, A., Es, A. van, 1989. Storage of Potatoes. Postharvest Behaviour, Store Design, Storage Practice, Handling. PUDOC; Wageningen 1987. Second revised edition, 468 pages, with 280 figures and 67 tables, index. Hardcover Dfl. 160.00/US-Dollar 80. Starch - Stärke 41, 324–325.
Ratti, C., Gariépy, Y., Raghavan, G.S.V., 1995. Proceedings of the International Conference on Harvest and Postharvest Technologies, in: Collection and Analysis of Headspace Volatiles for Disease Detection in Stored Potatoes. pp. 255–261.
Schaper, L.A., Varns, J.L., 1978. Carbon dioxide accumulation and flushing in potato storage bins. Am. Potato J. 55, 1–14. doi:10.1007/BF02852006 Smith, O., Campbell, J.C., 1969. Potatoes, production, storing, processing. Am.
Potato J. 46, 145–145. doi:10.1007/BF02863107
Stinson, J.A., Persaud, K.C., Bryning, G., 2006. Generic system for the detection of statutory potato pathogens. Sensors Actuators B Chem. 116, 100–106.
doi:10.1016/j.snb.2005.12.061
Toivonen, P.M.., 1997. Non-ethylene, non-respiratory volatiles in harvested fruits and vegetables: their occurrence, biological activity and control. Postharvest Biol. Technol. 12, 109–125. doi:10.1016/S0925-5214(97)00048-3
Toth, I.K., van der Wolf, J.M., Saddler, G., Lojkowska, E., Hélias, V., Pirhonen, M., Tsror Lahkim, L., Elphinstone, J.G., 2011. Dickeya species: an emerging problem for potato production in Europe. Plant Pathol. 60, 385–399. doi:10.1111/j.1365-3059.2011.02427.x
Turner, A.P., Magan, N., 2004. Electronic noses and disease diagnostics. Nat. Rev. Microbiol. 2, 161–6. doi:10.1038/nrmicro823
Varns, J.L., Glynn, M.T., 1979. Detection of disease in stored potatoes by volatile monitoring. Am. Potato J. 56, 185–197. doi:10.1007/BF02853365
Waterer, D.R., Pritchard, M.K., 1984a. Monitoring of volatiles: A technique for detection of soft rot ( Erwinia carotovora ) in potato tubers. Can. J. Plant Pathol. 6, 165–171. doi:10.1080/07060668409501578
Waterer, D.R., Pritchard, M.K., 1984b. Volatile monitoring as a technique for differentiating between E. carotovora and C. sepedonicum infections in stored potatoes. Am. Potato J. 61, 345–353. doi:10.1007/BF02854536