Bio-reconfigurable Electronic Platform for Multiplex Detection of Viral Respiratory Pathogens

NCT ID: NCT06702540

Last Updated: 2024-11-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

158 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-03-19

Study Completion Date

2025-09-28

Brief Summary

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This project focuses on developing a cutting-edge electronic biosensor platform for highly sensitive and specific detection of target biomolecules, with initial applications targeting SARS-CoV-2 detection. The system operates on impedance measurement between microelectrodes, utilizing lock-in mode for unparalleled resolution (1 ppm). Enhanced signal detection is achieved via functionalized polystyrene microbeads that amplify impedance changes, building on prior success in Dengue virus antibody detection.

Key innovations include Differential Impedance Sensing across multiple channels for real-time comparative analysis of various targets, and a biosensor chip modified with DMA-based functional polymers for optimal probe immobilization and target interaction. The biosensor integrates with a pre-existing microfluidic system and supports whole-virus detection using DNA-labelled antibodies against SARS-CoV-2 spike protein, coupled with complementary oligonucleotide-functionalized beads. This strategy is complemented by antigen-specific detection for practical applications such as point-of-care testing in pharmacies.

The project includes a retrospective study analyzing anonymized respiratory and plasma samples from a COVID-19 biobank to validate the platform's sensitivity in detecting viral particles. These efforts aim to advance diagnostic technologies for respiratory infections with a focus on safety, scalability, and versatility.

Detailed Description

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The project stands on the development of an electronic platform performing the measurement of the impedance variation between microelectrodes upon the capture of the target biomolecule by a selective bioprobe previously grafted over the biosensor surface. The required sensitivity will be achieved by operating the biosensor in lock-in mode, which ensures the highest resolution in tracking amplitude and phase variations of impedance signals (1 ppm has been demonstrated by POLIMI on other applications). To enhance the electronic signal, polystyrene microbeads, properly functionalized with oligonucleotides or antibodies, are used to link the target and increase the impedance variation as demonstrated by proponents in the successful detection of antibodies against Dengue virus. To address multiple sensing sites in parallel on the same biosensor chip, allowing real-time comparative analysis on different targets from the same biological sample for augmented detection sensitivity and control, a custom-made electronic platform will be developed to perform Differential Impedance Sensing (i.e., direct comparison between the target sensor and a reference) on multiple channels. The biosensor chip, made of borosilicate with gold microelectrodes, features a specific modification of its surface with functional polymers (a family of N,N-dimethylacrylamide -DMA-based polymers) developed by CNR that form a nanometric hydrophilic film on the chip surface. The functional groups of these copolymers allow the covalent immobilization of the probe preserving its active structure, proper spatial distance, orientation and density, favoring the interaction with the target. The biosensor chip will be integrated into the microfluidic system already available in the group.

SARS-CoV-2 will be targeted with challenging strategies. First, we plan to capture the entire virus in solution using DNA-labelled antibodies directed against the SARS-CoV-2 spike protein.

The sensor area, spotted with oligonucleotide probes complementary to the DNA sequence linked to the antibody, will interact with the DNA-labelled antibodies which have decorated the entire surface of the virus. To increase the impedance variation of the platform polystyrene beads will be used: in particular, they will be modified with the oligonucleotide complementary to that linked to the antibody which have captured the virus. This entire-virus detection methodology, combining the DNA-directed capture of the antigens together with a high sensitivity platform for Differential Impedance Sensing, is absolutely new and expected to be successful based upon the results already achieved by the proponents in the detection of the antibodies in the human blood of persons infected by Dengue virus. In parallel, we intend to extend the use of the electronic platform also to the detection of viral antigens, i.e. Spike protein S or nucleocapside protein N. The use of antigens for the diagnosis of the infection instead of the entire virus, may lead to important practical dropouts as it does not necessitate any particular safety requirement, thus allowing the test to be performed in any location, in particular pharmacies or medical clinics similarly to standard antigenic lateral flow tests.

This is a retrospective monocenter study to test respiratory samples to evaluate the analytical sensitivity of the platform being developed in the project PRIN Prot. 2022EJL28B. The samples are completed anonymized and the samples analyses are performed in order to check the ability of the device to reveal the presence of viral particles in biological matrix such as respiratory samples or, when necessary for set up of instruments, plasma randomized and anonymized samples. No patients or use of clinical data will be involved for the study, but only used the samples stored in the San Raffaele institutional COVID-19 clinical-biological biobank (COVID-BioB, NCT04318366). The samples used for the study were collected during the period 19/03/2020 - 31/05/2024.

Conditions

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COVID 19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Positive for respiratory viruses

79 retrospective samples tested positive for respiratory viruses

Biosensor chip

Intervention Type DEVICE

An electronic platform measuring the impedance variation between microelectrodes is used upon capturing the target biomolecule by a selective bioprobe previously grafted over the biosensor surface. The required sensitivity will be achieved by operating the biosensor in lock-in mode, which ensures the highest resolution in tracking amplitude and phase variations of impedance signals.

Negative to respiratory viruses

79 retrospective samples tested negative to respiratory viruses

Biosensor chip

Intervention Type DEVICE

An electronic platform measuring the impedance variation between microelectrodes is used upon capturing the target biomolecule by a selective bioprobe previously grafted over the biosensor surface. The required sensitivity will be achieved by operating the biosensor in lock-in mode, which ensures the highest resolution in tracking amplitude and phase variations of impedance signals.

Interventions

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Biosensor chip

An electronic platform measuring the impedance variation between microelectrodes is used upon capturing the target biomolecule by a selective bioprobe previously grafted over the biosensor surface. The required sensitivity will be achieved by operating the biosensor in lock-in mode, which ensures the highest resolution in tracking amplitude and phase variations of impedance signals.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Samples tested for respiratory viruses, stored at the San Raffaele institutional COVID-19 clinical-biological biobank (COVID-BioB, NCT04318366).

Exclusion Criteria

* None
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Politecnico di Milano

OTHER

Sponsor Role collaborator

Consiglio Nazionale delle Ricerche, Italy

UNKNOWN

Sponsor Role collaborator

IRCCS San Raffaele

OTHER

Sponsor Role lead

Responsible Party

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Nicola Clementi

Associate professor of Microbiology and Virology

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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IRCCS San Raffaele

Milan, Italy, Italy

Site Status

Countries

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Italy

References

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Liu W, Liu L, Kou G, Zheng Y, Ding Y, Ni W, Wang Q, Tan L, Wu W, Tang S, Xiong Z, Zheng S. Evaluation of Nucleocapsid and Spike Protein-Based Enzyme-Linked Immunosorbent Assays for Detecting Antibodies against SARS-CoV-2. J Clin Microbiol. 2020 May 26;58(6):e00461-20. doi: 10.1128/JCM.00461-20. Print 2020 May 26.

Reference Type BACKGROUND
PMID: 32229605 (View on PubMed)

Seo G, Lee G, Kim MJ, Baek SH, Choi M, Ku KB, Lee CS, Jun S, Park D, Kim HG, Kim SJ, Lee JO, Kim BT, Park EC, Kim SI. Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor. ACS Nano. 2020 Apr 28;14(4):5135-5142. doi: 10.1021/acsnano.0c02823. Epub 2020 Apr 20.

Reference Type BACKGROUND
PMID: 32293168 (View on PubMed)

Sola L, Damin F, Gagni P, Consonni R, Chiari M. Synthesis of Clickable Coating Polymers by Postpolymerization Modification: Applications in Microarray Technology. Langmuir. 2016 Oct 11;32(40):10284-10295. doi: 10.1021/acs.langmuir.6b02816. Epub 2016 Sep 29.

Reference Type BACKGROUND
PMID: 27632284 (View on PubMed)

Piedimonte P, Sola L, Cretich M, Gori A, Chiari M, Marchisio E, Borga P, Bertacco R, Melloni A, Ferrari G, Sampietro M. Differential Impedance Sensing platform for high selectivity antibody detection down to few counts: A case study on Dengue Virus. Biosens Bioelectron. 2022 Apr 15;202:113996. doi: 10.1016/j.bios.2022.113996. Epub 2022 Jan 15.

Reference Type BACKGROUND
PMID: 35091373 (View on PubMed)

F. Morichetti et al., "Non-Invasive On-Chip Light Observation by Contactless Waveguide Conductivity Monitoring," in IEEE Journal of Selected Topics in Quantum Electronics, vol. 20, no. 4, pp. 292-301, July-Aug. 2014, Art no. 8201710, doi: 10.1109/JSTQE.2014.2300046.

Reference Type BACKGROUND

Ciccarella, Pietro et al. "Multichannel 65 zF rms Resolution CMOS Monolithic Capacitive Sensor for Counting Single Micrometer-Sized Airborne Particles on Chip." IEEE Journal of Solid-State Circuits 51 (2016): 2545-2553.

Reference Type BACKGROUND

Other Identifiers

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2022EJL28B

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

BIOPLEX 2022EJL28B

Identifier Type: -

Identifier Source: org_study_id

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