The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Dynamically Analyte-Responsive Macrocyclic Host–Fluorophore Systems
Open accessAbstract
CONSPECTUS: Host-guest chemistry commenced to a large degree with the work of Pedersen, who in 1967 first reported the synthesis of crown ethers. The past 45 years have witnessed a substantial progress in the field, from the design of highly selective host molecules as receptors to their application in drug delivery and, particularly, analyte sensing. Much effort has been expended on designing receptors and signaling mechanism for detecting compounds of biological and environmental relevance. Traditionally, the design of a chemosensor comprises one component for molecular recognition, frequently macrocycles of the cyclodextrin, cucurbituril, cyclophane, or calixarene type. The second component, used for signaling, is typically an indicator dye which changes its photophysical properties, preferably its fluorescence, upon analyte binding. A variety of signal transduction mechanisms are available, of which displacement of the dye from the macrocyclic binding site is one of the simplest and most popular ones. This constitutes the working principle of indicator displacement assays. However, indicator displacement assays have been predominantly exploited in a static fashion, namely, to determine absolute analyte concentrations, or, by using combinations of several reporter pairs, to achieve a differential sensing and, thus, identification of specific food products or brands. In contrast, their use in biological systems, for example, with membranes, cells, or with enzymes has been comparably less explored, which led us to the design of the so-called tandem assays, that is, dynamically analyte-responsive host-dye systems, in which the change in analyte concentrations is induced by a biological reaction or process. This methodological variation has practical application potential, because the ability to monitor these biochemical pathways or to follow specific molecules in real time is of paramount interest for both biochemical laboratories and the pharmaceutical industry. We will begin by describing the underlying principles that govern the use of macrocycle-fluorescent dye complexes to monitor time-dependent changes in analyte concentrations. Suitable chemosensing ensembles are introduced, along with their fluorescence responses (switch-on or switch-off). This includes supramolecular tandem assays in their product- and substrate-selective variants, and in their domino and enzyme-coupled modifications, with assays for amino acid decarboxylases, diamine, and choline oxidase, proteases, methyl transferases, acetylcholineesterase (including an unpublished direct tandem assay), choline oxidase, and potato apyrase as examples. It also includes the very recently introduced tandem membrane assays in their published influx and unpublished efflux variants, with the outer membrane protein F as channel protein and protamine as bidirectionally translocated analyte. As proof-of-principle for environmental monitoring applications, we describe sensing ensembles for volatile hydrocarbons.
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Cites
Lehn, J. (1988) · Angewandte Chemie International Edition in English · doi:10.1002/anie.198800891 · Cited by 3,856
Enzyme-linked immunosorbent assay (ELISA) quantitative assay of immunoglobulin G
Engvall, E., & Perlmann, P. (1971) · Immunochemistry · doi:10.1016/0019-2791(71)90454-x · Cited by 3,777
Immunoassay of endogenous plasma insulin in man
Yalow, R. S., & Berson, S. A. (1960) · Journal of Clinical Investigation · doi:10.1172/jci104130 · Cited by 3,041
Cucurbituril Homologues and Derivatives: New Opportunities in Supramolecular Chemistry
Lee, J. W., Samal, S., Selvapalam, N., Kim, H., & Kim, K. (2003) · Accounts of Chemical Research · doi:10.1021/ar020254k · Cited by 1,817
Cucurbituril Homologues and Derivatives: New Opportunities in Supramolecular Chemistry
김기문 (2018) · Open Access System for Information Sharing (Pohang University of Science and Technology) · Cited by 1,417
Chirality-Sensing Supramolecular Systems
Hembury, G. A., Borovkov, V. V., & Inoue, Y. (2008) · Chemical Reviews · doi:10.1021/cr050005k · Cited by 1,140
Fluorescent Dyes and Their Supramolecular Host/Guest Complexes with Macrocycles in Aqueous Solution
Dsouza, R. N., Pischel, U., & Nau, W. M. (2011) · Chemical Reviews · doi:10.1021/cr200213s · Cited by 1,117
Self-citationAssay of Plasma Insulin in Human Subjects by Immunological Methods
YALOW, R. S., & BERSON, S. A. (1959) · Nature · doi:10.1038/1841648b0 · Cited by 1,098
Immunoassay using antibody—enzyme conjugates
van Weemen, B. K., Schuurs, A. H. W. M., Oostermeijer, M. W., & Raymakers, H. H. T. (1974) · FEBS Letters · doi:10.1016/0014-5793(74)81003-3 · Cited by 869
Immunoassay using antigen—enzyme conjugates
Van Weemen, B. K., & Schuurs, A. H. W. M. (1971) · FEBS Letters · doi:10.1016/0014-5793(71)80319-8 · Cited by 860
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Zhou, J., Rao, L., Yu, G., Cook, T. R., Chen, X., & Huang, F. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00011f · Cited by 411
Nie, H., Wei, Z., Ni, X.-L., & Liu, Y. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c01050 · Cited by 382
Ni, X.-L., Chen, S., Yang, Y., & Tao, Z. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b01223 · Cited by 328
Gao, J., Li, J., Geng, W.-C., Chen, F.-Y., Duan, X., Zheng, Z., Ding, D., & Guo, D.-S. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b02331 · Cited by 266
Yu, Y., Li, Y., Wang, X., Nian, H., Wang, L., Li, J., Zhao, Y., Yang, X., Liu, S., & Cao, L. (2017) · The Journal of Organic Chemistry · doi:10.1021/acs.joc.7b00400 · Cited by 66
Metadata
- Authors
- Ghale, G., & Nau, W. M.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-05-02
- Volume
- 47
- Issue
- 7
- Pages
- 2150-2159
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W2313327927
- Cited by
- 361
- References
- 34
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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