MULTI-SENSOR ODOUR DETECTION AND MEASUREMENT OF POLLUTED FOOD
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Pol. J. Food Nutr. Sci. 2003;53(Special issue 1s):45–48
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ABSTRACT
In this paper we describe an experiment of detecting ammonia pollution in water and food samples. The novelty of our work is that we used an electronic nose to measure the smell of the samples, and applied henceforth an algorithmic procedure called decision trees to the measurements, in order to determine if ammonia was present in the samples. The results we get suggest that an appropriate extension of that method should allow not only for qualitative, but also for quantitative analysis of ammonia pollution in food.
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Digitalization of scientific manuscripts published in PJFNS quarterly to enable open access to them in the Internet – task financed under the agreement no. 607/P-DUN/2019 from funds of the Minister of Science and Higher Education intended for science dissemination activities.
Utrzymanie procedur zabezpieczających oryginalność artykułów naukowych publikowanych w kwartalniku PJFNS - zadanie finansowane w ramach umowy 607/P-DUN/2019 ze środków Ministra Nauki i Szkolnictwa Wyższego przeznaczonych na działalność upowszechniającą naukę.
Maintenance of procedures assuring originality of scientific manuscripts published in PJFNS quarterly – task financed under the agreement no. 607/P-DUN/2019 from funds of the Minister of Science and Higher Education intended for science dissemination activities.