The use of multiple-strain algal sensor chips for the detection and identification of volatile organic compounds

Podola, Björn; Nowack, Eva C. M.; Melkonian, Michael

doi:10.1016/j.bios.2003.11.015

Cited by 58 publications

(30 citation statements)

References 41 publications

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“…To avoid this disadvantage of cell entrapment, an array-based immobilisation method for microalgae was developed by Podola et al (2004) using a permeable membrane as substratum. Chlorophyll a fluorescence of algae was measured as the biosensor response signal to toxicants.…”

Section: Introductionmentioning

confidence: 99%

Selective real-time herbicide monitoring by an array chip biosensor employing diverse microalgae

Podola

Melkonian

2005

J Appl Phycol

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A multiple-strain algal biosensor was constructed for the detection of herbicides inhibiting photosynthesis. Nine different microalgal strains were immobilised on an array biochip using permeable membranes. The biosensor allowed on-line measurements of aqueous solutions passing through a flow cell using chlorophyll fluorescence as the biosensor response signal. The herbicides atrazine, simazine, diuron, isoproturon and paraquat were detectable within minutes at minimal LOEC (Lowest Observed Effect Concentration) ranging from 0.5 to 100 µg L −1 , depending on the herbicide and algal strain. The most sensitive strains in terms of EC 50 values were Tetraselmis cordiformis and Scherffelia dubia. Less sensitive species were Chlorella vulgaris, Chlamydomonas sp. and Pseudokirchneriella subcapitata, but for most of the strains no general sensitivity or resistance was found. The different responses of algal strains to the five herbicides constituted a complex response pattern (RP), which was analysed for herbicide specificity within the linear dose-response relationship. Comparisons of herbicide-specific RP to reference RPs of the five herbicides always showed the lowest deviation of the herbicide-specific RP tested with the reference RP of the same herbicide for the triazine and phenylurea herbicides. We therefore conclude that, in principle, identification of a specific herbicide is possible employing the algal sensor chip.Abbreviations: ASC, algal sensor chip; CI, 95% confidence interval; EC 50 , Effect Concentration 50; F/F m , Quantum Efficiency of Electron Transport of Photosystem II; F m , Maximal fluorescence induced by saturation pulse; F t , Fluorescence at steady state of photosynthesis; LOEC, Lowest Observed Effect Concentration; NOEC, No Observed Effect Concentration; PSI, Photosystem I; PSII, Photosystem II; RP, Response pattern -describes differences among several algal strains in their sensitivity to herbicides; RP1, Herbicide specific and concentration independent response pattern used as a standard reference for the identification of unknown herbicides; RP2, Response pattern of an unknown herbicide to be identified by comparison to different herbicide specific RP1's; S.D., Standard deviation

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Section: Introductionmentioning

confidence: 99%

Selective real-time herbicide monitoring by an array chip biosensor employing diverse microalgae

Podola

Melkonian

2005

J Appl Phycol

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“…On the other hand, considering the large amount of potentially hazardous substances occurring in the environment, highly selective biosensor systems (e.g. enzyme biosensors) may also be regarded as disadvantageous (Podola et al, 2004). Ideally, combining the advantages of non-selective biosensors able to detect a variety of compounds, with a selective biosensor also allowing the identification of specific compounds would be the jump for the gap that separates academic research from field applications.…”

Section: Microalgal Whole Cell Biosensorsmentioning

confidence: 99%

Highly Specific Biosensors to Herbicides, Based on Sensitive- and Resistant-Mutants of Microalgae

Hernández-Allica¹,

Carrera-Martínez²,

López‐Rodas³

et al. 2011

Herbicides and Environment

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“…One major field for these biosensors is the measurement of complex parameters like toxicity. Biosensors for the toxicity of VOCs using recombinant bioluminiscent Escherichia coli bacteria (Gil et al 2000, Mwinyihija et al 2005 or different strains of algae (Podola et al 2004) were designed, which might be applicable for wood quality assessments with regard to potential health implications of wood materials. Moreover, biosensors on the basis of immobilised micro-organisms were proposed for the analysis of fermentation characteristics of spoilage micro-organisms ).…”

Section: Biosensorsmentioning

confidence: 99%

Wood production, wood technology, and biotechnological impacts

Kües¹

2007

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The use of multiple-strain algal sensor chips for the detection and identification of volatile organic compounds

Cited by 58 publications

References 41 publications

Selective real-time herbicide monitoring by an array chip biosensor employing diverse microalgae

Selective real-time herbicide monitoring by an array chip biosensor employing diverse microalgae

Highly Specific Biosensors to Herbicides, Based on Sensitive- and Resistant-Mutants of Microalgae

Wood production, wood technology, and biotechnological impacts

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