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Design of bioluminescent biosensors for assessing contamination of complex matrices.
- Source :
-
Talanta . Oct2021, Vol. 233, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- The presence of potentially toxic xenobiotics in complex matrices has become rather the rule than the exception. Therefore, there is a need for highly sensitive inexpensive techniques for analyzing environmental and food matrices for toxicants. Enzymes are selectively sensitive to various toxic compounds, and, thus, they can be used as the basis for detection of contaminants in complex matrices. There are, however, a number of difficulties associated with the analysis of complex matrices using enzyme assays, including the necessity to take into account properties and effects of the natural components of the test media for accurate interpretation of results. The present study describes the six-stage procedure for designing new enzyme sensors intended for assessing the quality of complex matrices. This procedure should be followed both to achieve the highest possible sensitivity of the biosensor to potentially toxic substances and to minimize the effect of the uncontaminated components of complex mixtures on the activity of the biosensor. The proposed strategy has been tested in designing a bioluminescent biosensor for integrated rapid assessment of the safety of fruits and vegetables. The biosensor is based on the coupled enzyme system NAD(P)H:FMN-oxidoreductase and luciferase as the biorecognition element. The study describes methods and techniques for attaining the desired result in each stage. The proposed six-stage procedure for designing bioluminescent enzyme biosensors can be used to design the enzymatic biosensors based on other enzymes. [Display omitted] • Bioluminescent biosensor was developed for environmental and food matrices assays. • Six-stage procedure for biosensor design minimizes problems of complex matrices assay. • The procedure is promising to design new enzymes-based biosensors for toxicity assay. [ABSTRACT FROM AUTHOR]
- Subjects :
- *COMPLEX matrices
*POISONS
*XENOBIOTICS
*BIOSENSORS
*POLLUTANTS
Subjects
Details
- Language :
- English
- ISSN :
- 00399140
- Volume :
- 233
- Database :
- Academic Search Index
- Journal :
- Talanta
- Publication Type :
- Academic Journal
- Accession number :
- 151125487
- Full Text :
- https://doi.org/10.1016/j.talanta.2021.122509