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Surface-Engineered Nanomaterials for Optical Array Based Sensing.

Pradipta Behera1, Mrinmoy De1

  • 1Department of Organic Chemistry, Indian Institute of Science, Bangalore, 560012, India.

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|December 18, 2023
PubMed
Summary
This summary is machine-generated.

Array-based sensing utilizes optical methods and nanomaterials for rapid, economical analyte detection. Surface engineering of nanomaterials enables versatile molecular recognition, enhancing detection capabilities for various targets.

Keywords:
array-based sensingcolorimetric sensorsfluorescence sensorsnanomaterialssurface modification

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Nanotechnology

Background:

  • Array-based sensing offers fast and economical detection of diverse analytes.
  • Effective sensing relies on sensor elements interacting with multiple analytes in an unbiased manner.
  • Nanomaterials, with high surface-to-volume ratios, are suitable for molecule recognition via surface adsorption.

Purpose of the Study:

  • To review the working principles of array-based sensing using various nanomaterials.
  • To explore the surface engineering of nanomaterials for enhanced molecular recognition.
  • To discuss the application of nanomaterials in multimodal detection platforms.

Main Methods:

  • Review of optical methods for array-based sensing.
  • Discussion of surface engineering techniques for nanomaterials.
  • Analysis of different nanomaterial types (nanoparticles, nanosheets, nanodots, self-assembled nanomaterials).

Main Results:

  • Nanomaterial surface engineering allows for cross-reactive responses to multiple analytes.
  • Array-based sensing platforms can operate through various pathways like single/multichannel, binding assays, and nanozyme-based sensing.
  • The versatility of nanomaterials enables unbiased and efficient analyte detection.

Conclusions:

  • Array-based sensing with engineered nanomaterials provides a powerful platform for multimodal detection.
  • Surface functionality of nanomaterials is crucial for effective molecular recognition.
  • This approach offers a promising strategy for developing advanced sensing technologies.