2016
DOI: 10.1039/c6ay00276e
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Targeting label free carbohydrate–protein interactions for biosensor design

Abstract: In this review, we describe different technologies used for probing molecular interactions and focus on the major discoveries made in the last four years in the field of label free biosensors for carbohydrate–protein interactions.

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Cited by 6 publications
(1 citation statement)
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“…New approaches for studying and exploiting protein-protein interactions are needed in order to address these shortcomings, while recognizing that these interactions are predominantly transient, temporary and reversible in nature. Label-free, affinity-based techniques based on electrochemical signals present as an attractive option to allow direct detection of real-time events (Silva et al 2018) with high selectivity and sensitivity (Mannoor et al 2010) and with potential for future use in point-of-care applications (Chaudhary et al 2016;Kang et al 2017). Among these, electrochemical impedance spectroscopy (EIS) has become a powerful and informative technique for studying biorecognition processes, for example in the detection of antibodies (Afkhami et al 2017), antibiotics (Hassani et al 2017) and pathogens (Hou et al 2018).…”
Section: Introductionmentioning
confidence: 99%
“…New approaches for studying and exploiting protein-protein interactions are needed in order to address these shortcomings, while recognizing that these interactions are predominantly transient, temporary and reversible in nature. Label-free, affinity-based techniques based on electrochemical signals present as an attractive option to allow direct detection of real-time events (Silva et al 2018) with high selectivity and sensitivity (Mannoor et al 2010) and with potential for future use in point-of-care applications (Chaudhary et al 2016;Kang et al 2017). Among these, electrochemical impedance spectroscopy (EIS) has become a powerful and informative technique for studying biorecognition processes, for example in the detection of antibodies (Afkhami et al 2017), antibiotics (Hassani et al 2017) and pathogens (Hou et al 2018).…”
Section: Introductionmentioning
confidence: 99%