Abstract
A multicomponent detection system using optical biosensors and flow injection analysis is described. The analysis of mixtures containing penicillin and ampicillin was realised by evaluating dynamic measurements of Phenol Red spectra in penicillinase optodes in combination with a diode array spectrometer. A variety of optodes has been produced by changing the composition of the receptor gel and the working pH. A set of characteristic quantities (describing dynamic and static features) could be obtained for each optode. These were used to compare the predictivity of classical multivariate calibration methods as well as of an artificial neural network. In addition, different algorithms were applied for the evaluation of the spectral data in order to select the most appropriate method for feature extraction. In consequence, the information obtained from the multivariate calibration models was used to set up an optimal sensor array consisting of four optodes with different types of penicillinase at different working pH.
Original language | English |
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Pages (from-to) | 2065-2072 |
Number of pages | 8 |
Journal | Talanta |
Volume | 42 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1995 |
Keywords
- Ampicillin
- Flow injection analysis
- Multivariate data analysis
- Optical biosensors
- Penicillin