Paper
4 June 2002 Contaminant effects on cellular metabolic differential pressure curve: a quantitative analysis
Marziale Milani, Monica Ballerini, Lorenzo Ferraro, Matteo Zabeo, Massimo Barberis, Maria Cannone, Venera Faraone
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Abstract
The possibility of using a pressure monitoring system based on differential pressure sensors to detect contaminant effects on cellular cultures metabolic activity is discussed using Saccharomyces cerevisiae cell cultures: differential pressure curves' shape, starting slope and maximum are affected both by physical and chemical contamination. Aim of the present study is the investigation of the effects generated by a 72h exposition of Saccharomyces cerevisiae, human lymphocytes and AHH1 cellular line cultures to 50Hz, 60(mu) T electromagnetic field. No significant differences have been recorded between irradiated and control yeast samples. On other hand irradiated lymphocytes samples, cultures in a PHA medium, grow less than control ones, but exhibit a greater metabolic activity: changes in the exposure system configuration influence neither sample growth differences nor metabolic response variations between control and irradiated samples. Control and irradiated lymphocyte samples, without PHA in culture medium, show the same behavior both during irradiation and metabolic test. AHH1 control and irradiated samples show no difference both in growth percentage during irradiation and in metabolic test. Different cell cultures respond to the same stimulus in different manners.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marziale Milani, Monica Ballerini, Lorenzo Ferraro, Matteo Zabeo, Massimo Barberis, Maria Cannone, and Venera Faraone "Contaminant effects on cellular metabolic differential pressure curve: a quantitative analysis", Proc. SPIE 4625, Clinical Diagnostic Systems: Technologies and Instrumentation, (4 June 2002); https://doi.org/10.1117/12.469774
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KEYWORDS
Magnetism

Glucose

Yeast

Control systems

Ultraviolet radiation

Carbon dioxide

Sensors

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