A novel silicon based mags-biosensor for nucleic acid detection by magnetoelectronic transduction

Castagna, Maria Eloisa; Petralia, Salvatore; Amore, Maria Grazia; Cappello, Emanuele; Beninato, Angela; Sinatra, Valentina; Baglio, Salvatore; Conoci, Sabrina

doi:10.1016/j.sbsr.2015.10.003

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…Therefore, while there is extensive literature reporting systems and miniaturized devices for PCR chip and some others on sample prep devices, ,− there are only a limited number of studies where the whole process for NA analysis is a fully integrated solution in a PoC perspective.…”

Section: Genetic Poc Device Systemsmentioning

confidence: 99%

PCR Technologies for Point of Care Testing: Progress and Perspectives

2017

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Since the Human Genome Project completed in 2000, the sequencing of the first genome, massive progress has been made by medical science in the early diagnosis and personalized therapies based on nucleic acids (NA) analysis. To allow the extensive use of these molecular methods in medical practice, scientific research is nowadays strongly focusing on the development of new miniaturized and easy-to-use technologies and devices allowing fast and low cost NA analysis in decentralized environments. It is now the era of so-called genetic "Point-of-Care" (PoC). These systems must integrate and automate all steps necessary for molecular analysis such as sample preparation (extraction and purification of NA) and detection based on PCR (Polymerase Chain Reaction) technology in order to perform, by unskilled personnel, in vitro genetic analysis near the patient (in hospital, in the physician office, clinic, or home), with rapid answers and low cost. In this review, the recent advances in genetic PoC technologies are discussed, including the extraction and PCR amplification chemistry suitable for PoC use and the new frontiers of research in this field.

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Section: Genetic Poc Device Systemsmentioning

confidence: 99%

PCR Technologies for Point of Care Testing: Progress and Perspectives

2017

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“…The surface charge topography on a sensing surface, which was enclosed with conductive electrodes, nanoparticles, and biomolecules, highly influences the charge transduction and the detection of biomolecule interaction 23 . DNA strands, with and without being at its duplex state, vary the charge transduction of the sensing surface 24 . Hence, an ideal surface modification between nanoparticles and sensing surface is demanded for high specific detection of DNA hybridization.…”

Section: Introductionmentioning

confidence: 99%

Nano‐silica embedded polydimethylsiloxane on interdigitated sensor as adhesive polymer for detecting lung cancer mutation

Abulaiti

Salai

Sun

et al. 2021

Biotech and App Biochem

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Non-small cell lung cancer (NSCLC) incited by epidermal growth factor receptor (EGFR) mutation makes up ∼85% of lung cancer diagnosed and death cases worldwide. The presented study introduced an alternative approach in detecting EGFR mutation using nano-silica integrated with polydimethylsiloxane (PDMS) polymer on interdigitated electrode (IDE) sensor. A 400 μm gap-sized aluminum IDE was modified with nano-polymer layer, which was made up of silica nanoparticles and PDMS polymer. IDE and PDMS-coated IDE (PDMS/IDE) were imaged using electron microscopes that reveals its smooth and ideal sensor morphology. The nano-silica-integrated PDMS/IDE surface was immobilized with EGFR probe and target to specify the lung cancer detection. The sensor specificity was justified through the insignificant current readouts with one-base mismatch and noncomplementary targets. The sensitivity of nano-silica-integrated PDMS/IDE was examined with mutant target spiked in human serum, where the resulting current affirms the detection of EGFR mutation. Based on the slope of the calibration curve, the sensitivity of nano-silica-integrated PDMS/IDE was 2.24E−9 A M -1 . The sensor recognizes EGFR mutation lowest at 1 aM complementary mutant target; however, the detection limit obtained based on 3σ calculation is 10 aM with regression value of 0.97.

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“…To date, silicon has been widely used to develop temperature sensors for cell monitoring, owing to its mature fabrication technology. [3][4][5] However, in biochemical environments, silicon (Si) based sensors suffer from various difficulties, such as driing potentials, chemical instability, and fouling encapsulation. [6][7][8][9] These sensors also are not suitable for the optical analysis or in situ condition monitoring of cell culture under the microscope due to the opaqueness of Si at visible wavelengths.…”

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confidence: 99%