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Transduction01:16

Transduction

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Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome...
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Updated: May 6, 2026

Bridging the Bio-Electronic Interface with Biofabrication
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Transformative biomedical devices to overcome biomatrix effects.

Omair Adil1, Mohtashim H Shamsi2

  • 1School of Chemical and Biomolecular Sciences, Southern Illinois University at Carbondale, IL, 62901, USA; Department of Mechanical Engineering, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.

Biosensors & Bioelectronics
|March 22, 2025
PubMed
Summary
This summary is machine-generated.

Biosensors have advanced significantly for medical diagnostics, but real-world sample analysis faces challenges. This review explores strategies to overcome biomatrix effects for improved biosensor commercialization and digital health integration.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Digital Health

Background:

  • Biosensors have evolved significantly, improving medical diagnostics and disease monitoring, especially during the COVID-19 pandemic.
  • Modern biosensors offer enhanced performance and functionality over traditional platforms, driving digital health advancements.
  • Commercialization of biomedical devices like wearable sensors and lab-on-a-chip systems is progressing rapidly.

Purpose of the Study:

  • To review recent advancements in biosensor technology for detecting analytes in complex biological matrices.
  • To highlight strategies for mitigating biomatrix effects in clinical sample analysis.
  • To discuss commercially viable biosensors and their impact on healthcare diagnostics.

Main Methods:

  • Review of recent literature on biosensor development and application.
  • Analysis of techniques to reduce nonspecific adsorption and cross-reactivity.
  • Evaluation of sample preparation methods for complex biological matrices.

Main Results:

  • Biomatrix effects pose a significant challenge to biosensor performance in real clinical samples.
  • Technological advancements are being developed to mitigate interference from matrix molecules.
  • Successful strategies are crucial for improving sensitivity, specificity, and sensor response in complex samples.

Conclusions:

  • Overcoming biomatrix effects is essential for the successful commercialization of advanced biosensors.
  • Technological innovations are paving the way for more accurate and reliable biosensing in clinical settings.
  • Enhanced biosensor technology promises to significantly impact future healthcare and diagnostics.