Colloidal nanoparticles as advanced biological sensors

• Published in: Science (American Association for the Advancement of Science) Vol. 346; no. 6205; p. 53
• Main Authors: Howes, Philip D., Chandrawati, Rona, Stevens, Molly M.
• Format: Journal Article
• Language: English
• Published: Washington American Association for the Advancement of Science 03.10.2014; The American Association for the Advancement of Science
• Subjects: Biomedical engineering; Biosensors; Colloids; Computer Simulation; Detection; Engineering; Mathematical models; Molecular Biology; Multiplexing; Nanoparticles; Nanostructure; Optical properties; Organic Chemistry; Physics; REVIEW SUMMARY; Sensors
• ISSN: 0036-8075; 1095-9203
• DOI: 10.1126/science.1247390

Biological sensing using nanoparticles Colloidal fluorescent and plasmonic nanoparticles yield intense responses to incident light, making them useful as sensors or probes for sensitive detection in solution. Howes et al. review the potential uses of nanoparticle biosensors in research and diagnostics. A range of methods allow for the chemical modification of the particle surfaces so that they can be tuned for specific analytes and give optical signals for a range of biological conditions of interest. Signals can be detected in complex media or in vivo making the particles of interest for both laboratory research and in clinical settings. Science , this issue 10.1126/science.1247390 Colloidal nanoparticle biosensors have received intense scientific attention and offer promising applications in both research and medicine. We review the state of the art in nanoparticle development, surface chemistry, and biosensing mechanisms, discussing how a range of technologies are contributing toward commercial and clinical translation. Recent examples of success include the ultrasensitive detection of cancer biomarkers in human serum and in vivo sensing of methyl mercury. We identify five key materials challenges, including the development of robust mass-scale nanoparticle synthesis methods, and five broader challenges, including the use of simulations and bioinformatics-driven experimental approaches for predictive modeling of biosensor performance. The resultant generation of nanoparticle biosensors will form the basis of high-performance analytical assays, effective multiplexed intracellular sensors, and sophisticated in vivo probes.