The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Molecular Imprinting Techniques Used for the Preparation of Biosensors
Open accessAbstract
Molecular imprinting is the technology of creating artificial recognition sites in polymeric matrices which are complementary to the template in their size, shape and spatial arrangement of the functional groups. Molecularly imprinted polymers (MIPs) and their incorporation with various transducer platforms are among the most promising approaches for detection of several analytes. There are a variety of molecular imprinting techniques used for the preparation of biomimetic sensors including bulk imprinting, surface imprinting (soft lithography, template immobilization, grafting, emulsion polymerization) and epitope imprinting. This chapter presents an overview of all of these techniques with examples from particular publications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Xia, Y., & Whitesides, G. M. (1998) · Annual Review of Materials Science · doi:10.1146/annurev.matsci.28.1.153 · Cited by 4,611
Soft Lithography in Biology and Biochemistry
Whitesides, G. M., Ostuni, E., Takayama, S., Jiang, X., & Ingber, D. E. (2001) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.3.1.335 · Cited by 2,607
Alexander, C., Andersson, H. S., Andersson, L. I., Ansell, R. J., Kirsch, N., Nicholls, I. A., O'Mahony, J., & Whitcombe, M. J. (2006) · Journal of Molecular Recognition · doi:10.1002/jmr.760 · Cited by 1,248
The rational development of molecularly imprinted polymer-based sensors for protein detection
Whitcombe, M. J., Chianella, I., Larcombe, L., Piletsky, S. A., Noble, J., Porter, R., & Horgan, A. (2011) · Chem. Soc. Rev. · doi:10.1039/c0cs00049c · Cited by 711
Template-imprinted nanostructured surfaces for protein recognition
Shi, H., Tsai, W.-B., Garrison, M. D., Ferrari, S., & Ratner, B. D. (1999) · Nature · doi:10.1038/19267 · Cited by 684
Selective Protein Capture by Epitope Imprinting
Nishino, H., Huang, C., & Shea, K. J. (2006) · Angewandte Chemie International Edition · doi:10.1002/anie.200503760 · Cited by 470
Modeling Organic Surfaces with Self‐Assembled Monolayers
Bain, C. D., & Whitesides, G. M. (1989) · Angewandte Chemie International Edition in English · doi:10.1002/anie.198905061 · Cited by 433
Metal ion-imprinted polymers—Novel materials for selective recognition of inorganics
Rao, T. P., Kala, R., & Daniel, S. (2006) · Analytica Chimica Acta · doi:10.1016/j.aca.2006.06.065 · Cited by 380
Towards molecularly imprinted polymers selective to peptides and proteins. The epitope approach
Rachkov, A., & Minoura, N. (2001) · Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology · doi:10.1016/s0167-4838(00)00226-0 · Cited by 374
Lv, Y., Tan, T., & Svec, F. (2013) · Biotechnology Advances · doi:10.1016/j.biotechadv.2013.02.005 · Cited by 252
Cited by
Hydrogel Based Sensors for Biomedical Applications: An Updated Review
Tavakoli, J., & Tang, Y. (2017) · Polymers · doi:10.3390/polym9080364 · Cited by 434
A review of technologies for direct lithium extraction from low Li+ concentration aqueous solutions
Murphy, O., & Haji, M. N. (2022) · Frontiers in Chemical Engineering · doi:10.3389/fceng.2022.1008680 · Cited by 157
“During the ion imprinting process, polymeric matrices are loaded with artificial ionic recognition sites complementary to the template ion’s size and shape (Ertürk and Mattiasson, 2017).”
BackgroundBiofunctionalization of Multiplexed Silicon Photonic Biosensors
Puumala, L. S., Grist, S. M., Morales, J. M., Bickford, J. R., Chrostowski, L., Shekhar, S., & Cheung, K. C. (2022) · Biosensors · doi:10.3390/bios13010053 · Cited by 55
Metadata
- Authors
- Ertürk, G., & Mattiasson, B.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-02-04
- Volume
- 17
- Issue
- 2
- Pages
- 288
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2587079400
- Cited by
- 292
- References
- 33
- FWCI
- 12.26
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Molecular Imprinting Techniques Used for the Preparation of Biosensors. https://app.cochat.ai/papers/10.3390/s17020288
- The paper
- Ertürk, G., & Mattiasson, B. (2017). Molecular Imprinting Techniques Used for the Preparation of Biosensors. Sensors. https://doi.org/10.3390/s17020288
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
