Fig.1 C60-rods. (From Wikipedia: By Rob Hooft, https://commons.wikimedia.org/wiki/File:C60-rods.png)

New Nanomaterials and Detection Tools

Recently, various nanomaterials are used in order to develop nanotechnology-based rapid diagnostic tests, such as quantum dots (QDs), metallic nanoparticles, silica nanospheres, carbon nanotubes (CNTs), and magnetic nanoparticles. This novel nano diagnostic approach will further develop point-of-care (POC) diagnostics.

Fig.2 Examples of SERS substrates. (Dell’Olio, 2021)

Different Signal Patterns of Nanomaterials IVD Applications

Many of the currently available IVD tools are limited by their limit and sensitivity of detection. Therefore, it is important to develop new sensing techniques with improved detection performance and expand the diagnostic capability by advanced nanomaterials with trying different signal patterns.

Fig.3 Liver on a chip. (Ewart, et al., 2022)

Microfluidic Devices and Chips for Diseases Research

Researchers have developed Microfluidic devices in order to provide inexpensive and facile detection of diseases. The majority of Microfluidic devices that have been already developed work by sensing specific biomarkers, human cell types, bacteria, or viruses.

Fig.4 Microfluidic device. (From Wikipedia: National Institute of Standards and Technology - Microfluidic Device, https://commons.wikimedia.org/wiki/File:Microfluidic_Device_(6842746147).jpg)

Smartphone-based Point-of-Care Technologies

The high-resolution rear camera of smartphone can be transformed into a potential POC reader to detect colorimetric, fluorescence, luminescence, SPR, and other optical signals.

Fig.5 Immuno-PET/SPECT bioconjugation sites of mAb. (Dewulf, et al., 2020)

SdAb Labeling for PET and SPECT

Nanobodies labelled with a gamma- or positron-emitting radionuclide can be used to quantitatively image the biodistribution of the radiolabeled-antibody using whole body Single Photon Emission Computed Tomography (SPECT) or Positron Emission Tomography (PET) respectively. Different nanobody conjugation methods are introduced.

Fig.6 Nanobody conjunction. (Sograte-Idrissi, et al., 2019)

Aptasensors

An aptasensor is a particular class of biosensor where the biological recognition element is a DNA or RNA aptamer. A variety of techniques in combination with a wide range of functional nanomaterials have been used for the design of aptasensors to further improve the sensitivity and detection limit of target determination.

Fig.7 DNA. (Creative Biolabs Authorized)

eSensor Technology

Numerous electrochemical biosensors (eSensors) have been developed and proposed for detection of various diseases based on specific biomarkers. eSensors for point-of-care testing are garnering interest due to their speed, sensitivity, and selectivity as well as their inexpensive, user-friendly operation.

Fig.8 Immune. (Creative Biolabs Authorized)

Nano-immuno Assay (NIA)

NIA is an automated nano-fluidic method that uses isoelectric protein focusing and antibody detection to quantify protein expression and resolve un-phosphorylated from single- and multiple- phosphorylated protein isoforms.

References

  1. From Wikipedia: By Rob Hooft, CC BY-SA 3.0, https://commons.wikimedia.org/wiki/File:C60-rods.png
  2. Dell'Olio, Francesco. "Multiplexed liquid biopsy and tumor imaging using surface-enhanced Raman scattering." Biosensors 11.11 (2021): 449.
  3. Ewart, Lorna, et al. "Performance assessment and economic analysis of a human Liver-Chip for predictive toxicology." Communications Medicine 2.1 (2022): 154.
  4. From Wikipedia: By National Institute of Standards and Technology - Microfluidic Device, https://commons.wikimedia.org/wiki/File:Microfluidic_Device_(6842746147).jpg
  5. Dewulf, Jonatan, et al. "Development of antibody immuno-PET/SPECT radiopharmaceuticals for imaging of oncological disorders—an update." Cancers 12.7 (2020): 1868.
  6. Sograte-Idrissi, Shama, et al. "Nanobody detection of standard fluorescent proteins enables multi-target DNA-PAINT with high resolution and minimal displacement errors." Cells 8.1 (2019): 48.

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