Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing Methods
Lack of specificity for different classes of chemical and biological agents, and false positives and negatives, can limit the range of applications for cell-based biosensors. This study suggests that the integration of results from algal cells (Mesotaenium caldariorum) and fish chromatophores (Betta...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2007-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/7/1/38/ |
| _version_ | 1818007561626976256 |
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| author | Goran N. Jovanovic Eric C. Henry Ganesh Vissvesvaran Frank W. R. Chaplen |
| author_facet | Goran N. Jovanovic Eric C. Henry Ganesh Vissvesvaran Frank W. R. Chaplen |
| author_sort | Goran N. Jovanovic |
| collection | DOAJ |
| description | Lack of specificity for different classes of chemical and biological agents, and false positives and negatives, can limit the range of applications for cell-based biosensors. This study suggests that the integration of results from algal cells (Mesotaenium caldariorum) and fish chromatophores (Betta splendens) improves classification efficiency and detection reliability. Cells were challenged with paraquat, mercuric chloride, sodium arsenite and clonidine. The two detection systems were independently investigated for classification of the toxin set by performing discriminant analysis. The algal system correctly classified 72% of the bioactive compounds, whereas the fish chromatophore system correctly classified 68%. The combined classification efficiency was 95%. The algal sensor readout is based on fluorescence measurements of changes in the energy producing pathways of photosynthetic cells, whereas the response from fish chromatophores was quantified using optical density. Change in optical density reflects interference with the functioning of cellular signal transduction networks. Thus, algal cells and fish chromatophores respond to the challenge agents through sufficiently different mechanisms of action to be considered orthogonal. |
| first_indexed | 2024-04-14T05:17:16Z |
| format | Article |
| id | doaj.art-2a01ff001c9a4875a0239352ea1fb23e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T05:17:16Z |
| publishDate | 2007-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2a01ff001c9a4875a0239352ea1fb23e2022-12-22T02:10:19ZengMDPI AGSensors1424-82202007-01-0171385110.3390/s7010038Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing MethodsGoran N. JovanovicEric C. HenryGanesh VissvesvaranFrank W. R. ChaplenLack of specificity for different classes of chemical and biological agents, and false positives and negatives, can limit the range of applications for cell-based biosensors. This study suggests that the integration of results from algal cells (Mesotaenium caldariorum) and fish chromatophores (Betta splendens) improves classification efficiency and detection reliability. Cells were challenged with paraquat, mercuric chloride, sodium arsenite and clonidine. The two detection systems were independently investigated for classification of the toxin set by performing discriminant analysis. The algal system correctly classified 72% of the bioactive compounds, whereas the fish chromatophore system correctly classified 68%. The combined classification efficiency was 95%. The algal sensor readout is based on fluorescence measurements of changes in the energy producing pathways of photosynthetic cells, whereas the response from fish chromatophores was quantified using optical density. Change in optical density reflects interference with the functioning of cellular signal transduction networks. Thus, algal cells and fish chromatophores respond to the challenge agents through sufficiently different mechanisms of action to be considered orthogonal.http://www.mdpi.com/1424-8220/7/1/38/Fish chromatophorealgaeorthogonalsensor system. |
| spellingShingle | Goran N. Jovanovic Eric C. Henry Ganesh Vissvesvaran Frank W. R. Chaplen Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing Methods Sensors Fish chromatophore algae orthogonal sensor system. |
| title | Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing Methods |
| title_full | Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing Methods |
| title_fullStr | Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing Methods |
| title_full_unstemmed | Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing Methods |
| title_short | Improvement of Bioactive Compound Classification through Integration of Orthogonal Cell-Based Biosensing Methods |
| title_sort | improvement of bioactive compound classification through integration of orthogonal cell based biosensing methods |
| topic | Fish chromatophore algae orthogonal sensor system. |
| url | http://www.mdpi.com/1424-8220/7/1/38/ |
| work_keys_str_mv | AT gorannjovanovic improvementofbioactivecompoundclassificationthroughintegrationoforthogonalcellbasedbiosensingmethods AT ericchenry improvementofbioactivecompoundclassificationthroughintegrationoforthogonalcellbasedbiosensingmethods AT ganeshvissvesvaran improvementofbioactivecompoundclassificationthroughintegrationoforthogonalcellbasedbiosensingmethods AT frankwrchaplen improvementofbioactivecompoundclassificationthroughintegrationoforthogonalcellbasedbiosensingmethods |