4.7 Review

Surface plasmon resonance applications in clinical analysis

期刊

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
卷 406, 期 9-10, 页码 2303-2323

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-014-7647-5

关键词

Surface plasmon resonance (SPR); Surface plasmon resonance imaging (SPRi); Biosensor. Clinical analysis; Molecular diagnostic; Nanoparticles (NPs)

资金

  1. Fondazione ARPA Progetto Dolore
  2. Miur - Prin Biosensori realizzati con nanomateriali per una rapida identificazione di biomarcatori tumorali

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In the last 20 years, surface plasmon resonance (SPR) and its advancement with imaging (SPRi) emerged as a suitable and reliable platform in clinical analysis for label-free, sensitive, and real-time monitoring of biomolecular interactions. Thus, we report in this review the state of the art of clinical target detection with SPR-based biosensors in complex matrices (e.g., serum, saliva, blood, and urine) as well as in standard solution when innovative approaches or advanced instrumentations were employed for improved detection. The principles of SPR-based biosensors are summarized first, focusing on the physical properties of the transducer, on the assays design, on the immobilization chemistry, and on new trends for implementing system analytical performances (e.g., coupling with nanoparticles (NPs). Then we critically review the detection of analytes of interest in molecular diagnostics, such as hormones (relevant also for anti-doping control) and biomarkers of interest in inflammatory, cancer, and heart failure diseases. Antibody detection is reported in relation to immune disorder diagnostics. Subsequently, nucleic acid targets are considered for revealing genetic diseases (e.g., point mutation and single nucleotides polymorphism, SNPs) as well as new emerging clinicalmarkers (microRNA) and for pathogen detection. Finally, examples of pathogen detection by immunosensing were also analyzed. A parallel comparison with the reference methods was duly made, indicating the progress brought about by SPR technologies in clinical routine analysis.

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