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Kennedy, R.; Wakeham, A. J.; Byrne, K. G.; Meyer, U. M.; Dewey, F. M. (2000)
Publisher: American Society for Microbiology
Languages: English
Types: Article
Subjects: QR, QR180, Plant Microbiology, QK, S1

Classified by OpenAIRE into

mesheuropmc: fungi, food and beverages
We describe a new microtiter immunospore trapping device (MTIST device) that uses a suction system to directly trap air particulates by impaction in microtiter wells. This device can be used for rapid detection and\ud immunoquantification of ascospores of Mycosphaerella brassicicola and conidia of Botrytis cinerea by an enzyme-linked immunosorbent assay (ELISA) under controlled environmental conditions. For ascospores of M. brassicicola\ud correlation coefficients (r2) of 0.943 and 0.9514 were observed for the number of MTIST device-impacted\ud ascospores per microtiter well and the absorbance values determined by ELISA, respectively. These values were\ud not affected when a mixed fungal spore population was used. There was a relationship between the number of MTIST device-trapped ascospores of M. brassicicola per liter of air sampled and the amount of disease expressed on exposed plants of Brassica oleracea (Brussels sprouts). Similarly, when the MTIST device was used to trap conidia of B. cinerea, a correlation coefficient of 0.8797 was obtained for the absorbance values generated by the ELISA and the observed number of conidia per microtiter well. The relative collection efficiency of the MTIST device in controlled plant growth chambers with limited airflow was 1.7 times greater than the relative collection efficiency of a Burkard 7-day volumetric spore trap for collection of M. brassicicola ascospores. The MTIST device can be used to rapidly differentiate, determine, and accurately quantify target organisms in a microflora. The MTIST device is a portable, robust, inexpensive system that can be used to\ud perform multiple tests in a single sampling period, and it should be useful for monitoring airborne particulates\ud and microorganisms in a range of environments.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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