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Details

Autor(en) / Beteiligte
Titel
Multichannel digital heteronuclear magnetic resonance biosensor
Ist Teil von
  • Biosensors & bioelectronics, 2019-02, Vol.126, p.240-248
Ort / Verlag
England: Elsevier B.V
Erscheinungsjahr
2019
Quelle
MEDLINE
Beschreibungen/Notizen
  • Low-field, mobile NMR systems are increasingly used across diverse fields, including medical diagnostics, food quality control, and forensics. The throughput and functionality of these systems, however, are limited due to their conventional single-channel detection: one NMR probe exclusively uses an NMR console at any given time. Under this design, multi-channel detection could only be accomplished by either serially accessing individual probes or stacking up multiple copies of NMR electronics; this approach still retains limitations such as long assay times and increased system complexity. Here we present a new scalable architecture, HERMES (hetero-nuclear resonance multichannel electronic system), for versatile, high-throughput NMR analyses. HERMES exploits the concept of software-defined radio by virtualizing NMR electronics in the digital domain. This strategy i) creates multiple NMR consoles without adding extra hardware; ii) acquires signals from multiple NMR channels in parallel; and iii) operates in wide frequency ranges. All of these functions could be realized on-demand in a single compact device. We interfaced HERMES with an array of NMR probes; the combined system simultaneously measured NMR relaxation from multiple samples and resolved spectra of hetero-nuclear spins (1H, 19F, 13C). For potential diagnostic uses, we applied the system to detect dengue fever and molecularly profile cancer cells through multi-channel protein assays. HERMES holds promise as a powerful analytical tool that enables rapid, reconfigurable, and parallel detection. •A new digital strategy enables multiplexed, parallel NMR detection.•The system performs various NMR analyses in a single mobile device.•Different chemical species can be detected wit high signal-to-noise ratio.
Sprache
Englisch
Identifikatoren
ISSN: 0956-5663, 1873-4235
eISSN: 1873-4235
DOI: 10.1016/j.bios.2018.10.052
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6483068

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