Premium
Growth Behavior in Plant Cell Cultures Based on Emissions Detected by a Multisensor Array
Author(s) -
Komaraiah Palle,
Navratil Marian,
Carlsson Maria,
Jeffers Paul,
Brodelius Maria,
Brodelius Peter E.,
Kieran Patricia M.,
Mandenius CarlFredrik
Publication year - 2004
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1021/bp034231w
Subject(s) - electronic nose , sensor array , principal component analysis , nicotiana tabacum , biomass (ecology) , biological system , computer science , chemistry , biology , artificial intelligence , agronomy , biochemistry , machine learning , gene
The use of a multisensor array based on chemical gas sensors to monitor plant cell cultures is described. The multisensor array, also referred to as an electronic nose, consisted of 19 different metal oxide semiconductor sensors and one carbon dioxide sensor. The device was used to continuously monitor the off‐gas from two plant cell suspension cultures, Morinda citrifolia and Nicotiana tabacum, cultivated under batch conditions. By analyzing the multiarray responses using two pattern recognition methods, principal component analysis and artificial neural networks, it was possible to monitor the course of the cultivations and, in turn, to predict (1) the biomass concentration in both systems and (2) the formation of the secondary metabolite, antraquinone, by M. citrifolia. The results identify the multisensor array method as a potentially useful analytical tool for monitoring plant process variables that are otherwise difficult to analyze on‐line.