-
Projects
Interreg POCTEFA EFA 099/01. NanoLyme: Toward a new diagnosis of Lyme disease through nanotechnology, atomic spectrometry and artificial intelligence artificial
- Start date: 01-03-2024
- End date: 28-02-2027
- Coordinator: Martín Resano and Eduardo Bolea Fernández
- Type: Interreg VI-A Spain-France-Andorra (POCTEFA 2021-2027)
- Web page: https://nanolyme.eu/
Summary: Lyme disease is an emerging disease that is causing growing clinical concern across Europe. It is considered endemic in the POCTEFA region and its increase is due, among other factors, to climate change, which causes the vectors that transmit it to be active for longer, as stated in the report “l Cambio climático es los Pirineos: impactos, vulnerabilidades y adaptación”, prepared by the OPCC and the CTP. The European Parliament Resolution on this disease, 2018/2774 (RSP), analyzes the situation in Europe noting that “a more reliable early diagnosis of Lyme disease will significantly reduce the number of cases of advanced stage, thereby improving the patients’ quality of life” and calling for “greater international cooperation in research on Lyme disease”, Our project picks up this call by capitalizing on the previous experience acquired in the diagnosis of another disease (Wilson) in the previous DBS, and incorporating the competent partner in Lyme in the POCTEFA area (CH Lannemezan). The project aims the development of a new method for diagnosing Lyme disease based on a novel and unique approach, which instead of trying to detect the antibodies generated by the patient (sometimes practically non-existent), it will detect the inoculated bacteria themselves that cause the disease. This method can only be developed from the cross-border cooperation of the participating partners, and their complementary experience in the use of nanotechnology as a facilitating tool, the ICP-MS technique and artificial intelligence applied to clinical diagnosis. The result will be a robust Lyme diagnostic method that will be directly transferred to the main hospitals of the involved POCTEFA regions for immediate application at the end of the project.
The NanoLyme project has been 65% co-financed by the European Union through the Interreg VI-A Spain-France-Andorra Program (POCTEFA 2021-2027). The objective of POCTEFA is to strengthen the economic and social integration of the Spain-France-Andorra border area.
PUBLICATIONS
2024
Bazo, Antonio; Bolea-Fernandez, Eduardo; Rua-Ibarz, Ana; Aramendía, Maite; Resano, Martín
En: Analytica Chimica Acta, vol. 1331, pp. 343305, 2024, ISSN: 0003-2670.
@article{BAZO2024343305,
title = {Intensity- and time-based strategies for micro/nano-sizing via single-particle ICP-mass spectrometry: A comparative assessment using Au and SiO2 as model particles},
author = {Antonio Bazo and Eduardo Bolea-Fernandez and Ana Rua-Ibarz and Maite Aramendía and Martín Resano},
url = {https://www.sciencedirect.com/science/article/pii/S0003267024011061},
doi = {https://doi.org/10.1016/j.aca.2024.343305},
issn = {0003-2670},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Analytica Chimica Acta},
volume = {1331},
pages = {343305},
abstract = {Background
Single-particle ICP-mass spectrometry (SP-ICP-MS) is a powerful method for micro/nano-particle (MNP) sizing. Despite the outstanding evolution of the technique in the last decade, most studies still rely on traditional approaches based on (1) the use of integrated intensity as the analytical signal and (2) the calculation of the transport efficiency (TE). However, the increasing availability of MNP standards and advancements in hardware and software have unveiled new venues for MNP sizing, including TE-independent and time-based approaches. This work systematically examines these different methodologies to identify and summarize their strengths and weaknesses, thus helping to determine their preferred application areas.
Results
Different SP-ICP-MS methods for MNP sizing were assessed using AuNPs (20–70 nm) and SiO2MNPs (100–1000 nm). Among TE-dependent approaches, the particle frequency method was characterized by larger uncertainties than the particle size method. The results of the latter were dependent on the appropriate selection of the reference MNP, making the use of multiple reference MNPs recommended. TE-independent methods were based on external (linear and polynomial) calibrations and a relative approach. These methods exhibited the lowest uncertainties of all the strategies evaluated. External calibrations benefited from simpler calculations, but their application could be hindered by a lack of reference MNPs within the desired size range or by the need for interpolations outside the calibration range. Finally, transit time signals are directly proportional to the MNP size rather than its mass. The time-based method demonstrated adequate performance for sizing AuNPs but failed when sizing the largest SiO2MNPs (1000 nm).
Significance and novelty
This work provides further insights into the application of different SP-ICP-MS methodologies for MNP sizing. Both TE-independent approaches and the monitoring of the transit time as the analytical signal are underused strategies; in this context, a Python script was developed for accurate transit time measurement. After 20 years of development, a quantitative comparison of the different methodologies, including the most novel approaches, is deemed necessary for further growth on solid theoretical ground.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Single-particle ICP-mass spectrometry (SP-ICP-MS) is a powerful method for micro/nano-particle (MNP) sizing. Despite the outstanding evolution of the technique in the last decade, most studies still rely on traditional approaches based on (1) the use of integrated intensity as the analytical signal and (2) the calculation of the transport efficiency (TE). However, the increasing availability of MNP standards and advancements in hardware and software have unveiled new venues for MNP sizing, including TE-independent and time-based approaches. This work systematically examines these different methodologies to identify and summarize their strengths and weaknesses, thus helping to determine their preferred application areas.
Results
Different SP-ICP-MS methods for MNP sizing were assessed using AuNPs (20–70 nm) and SiO2MNPs (100–1000 nm). Among TE-dependent approaches, the particle frequency method was characterized by larger uncertainties than the particle size method. The results of the latter were dependent on the appropriate selection of the reference MNP, making the use of multiple reference MNPs recommended. TE-independent methods were based on external (linear and polynomial) calibrations and a relative approach. These methods exhibited the lowest uncertainties of all the strategies evaluated. External calibrations benefited from simpler calculations, but their application could be hindered by a lack of reference MNPs within the desired size range or by the need for interpolations outside the calibration range. Finally, transit time signals are directly proportional to the MNP size rather than its mass. The time-based method demonstrated adequate performance for sizing AuNPs but failed when sizing the largest SiO2MNPs (1000 nm).
Significance and novelty
This work provides further insights into the application of different SP-ICP-MS methodologies for MNP sizing. Both TE-independent approaches and the monitoring of the transit time as the analytical signal are underused strategies; in this context, a Python script was developed for accurate transit time measurement. After 20 years of development, a quantitative comparison of the different methodologies, including the most novel approaches, is deemed necessary for further growth on solid theoretical ground.