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A review of Optical Point-of-Care devices to Estimate the Technology Transfer of These Cutting-Edge Technologies.

María Jesús PiozRocio L EspinosaMaría Fe Laguna HerasBeatriz SantamariaAna María M MurilloÁlvaro Lavín HuerosSergio QuinteroLuca TramarinLuis G VallePedro HerrerosAlberto BellidoRafael CasquelMiguel Holgado
Published in: Biosensors (2022)
Despite the remarkable development related to Point-of-Care devices based on optical technology, their difficulties when used outside of research laboratories are notable. In this sense, it would be interesting to ask ourselves what the degree of transferability of the research work to the market is, for example, by analysing the relation between the scientific work developed and the registered one, through patent. In this work, we provide an overview of the state-of-the-art in the sector of optical Point-of-Care devices, not only in the research area but also regarding their transfer to market. To this end, we explored a methodology for searching articles and patents to obtain an indicator that relates to both. This figure of merit to estimate this transfer is based on classifying the relevant research articles in the area and the patents that have been generated from these ones. To delimit the scope of this study, we researched the results of a large enough number of publications in the period from 2015 to 2020, by using keywords "biosensor", "optic", and "device" to obtain the most representative articles from Web of Science and Scopus. Then, we classified them according to a particular classification of the optical PoC devices. Once we had this sampling frame, we defined a patent search strategy to cross-link the article with a registered patent (by surfing Google Patents) and classified them accordingly to the categories described. Finally, we proposed a relative figure called Index of Technology Transference (IoTT), which estimates to what extent our findings in science materialized in published articles are protected by patent.
Keyphrases
  • high resolution
  • high speed
  • public health
  • health insurance
  • machine learning
  • deep learning
  • gold nanoparticles
  • systematic review
  • randomized controlled trial
  • electron transfer