Improving Meropenem Quantification in a Compact SERS-Based Centrifugal Microfluidic Platform: Toward TDM of Antibiotics in ICU

Infections are the leading causes of death, especially in intensive care units (ICUs), necessitating immediate and optimal antibiotic treatment with proper monitoring of the drug dosage. Present analytical techniques measuring antibiotic levels result in a long lag time for dose adjustments. Therefore, introducing versatile techniques that quickly quantify antibiotic levels in a patient's blood is essential. We developed a novel approach to advance the automation of label-free surface-enhanced Raman spectroscopy (SERS) in a centrifugal microfluidic setting (D-SERS device) to improve the quantification of meropenem (MER) in serum samples. The D-SERS device consists of a microfluidic disc cartridge, a spin motor, and an integrated Raman spectrometer module. In our assay method, we implemented a serum cleanup step, employing a monospin solid-phase extraction (ms-SPE) column, which was coupled with the D-SERS device. The MER label-free detection was performed on-disc by SERS scanning of a Ag nanopillar substrate integrated into the disc cartridge. We identified that coupling ms-SPE to the D-SERS device led to significant improvement in a signal-to-noise ratio and sensitivity. Chemometrics algorithms, such as partial least squares regression (PLSR), were implemented on a large data set for SERS analysis, allowing LoD and LoQ values of 12.12 and 36.37 μM, respectively. We compared the performance of our D-SERS device to that of a commercial Raman system, demonstrating its efficiency and reliability. Moreover, the D-SERS device was validated against HPLC employing samples from ICU patients, showing a good correlation (<i>R</i><sup>2</sup> = 0.8, <i>p</i> < 0.05) with a bias of 14.3 μM overestimation. The whole D-SERS system is compact and easy to operate, and results are obtained within 15-20 min, supporting its clinical feasibility for point-of-care therapeutic drug monitoring of antibiotics.

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Publication Details

Journal
Analytical Chemistry
Published
2025-03-25
DOI
https://doi.org/10.1021/acs.analchem.4c06902
Citations
5
Primary Topic
Antibiotics Pharmacokinetics and Efficacy
Type
article
Field-Weighted Citation Impact
6.97
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article

Improving Meropenem Quantification in a Compact SERS-Based Centrifugal Microfluidic Platform: Toward TDM of Antibiotics in ICU

Anders Perner, Roman Slipets, Laura Serioli, Anja Boisen et al.
5 citations
Analytical Chemistry
Antibiotics Pharmacokinetics and Efficacy
6.97
article

Improving Meropenem Quantification in a Compact SERS-Based Centrifugal Microfluidic Platform: Toward TDM of Antibiotics in ICU

Anders Perner, Roman Slipets, Laura Serioli, Anja Boisen, Isidro Badillo‐Ramírez, Gohar Soufi, Martyna A. Pytlarz
article en
5 citations

Abstract

Infections are the leading causes of death, especially in intensive care units (ICUs), necessitating immediate and optimal antibiotic treatment with proper monitoring of the drug dosage. Present analytical techniques measuring antibiotic levels result in a long lag time for dose adjustments. Therefore, introducing versatile techniques that quickly quantify antibiotic levels in a patient's blood is essential. We developed a novel approach to advance the automation of label-free surface-enhanced Raman spectroscopy (SERS) in a centrifugal microfluidic setting (D-SERS device) to improve the quantification of meropenem (MER) in serum samples. The D-SERS device consists of a microfluidic disc cartridge, a spin motor, and an integrated Raman spectrometer module. In our assay method, we implemented a serum cleanup step, employing a monospin solid-phase extraction (ms-SPE) column, which was coupled with the D-SERS device. The MER label-free detection was performed on-disc by SERS scanning of a Ag nanopillar substrate integrated into the disc cartridge. We identified that coupling ms-SPE to the D-SERS device led to significant improvement in a signal-to-noise ratio and sensitivity. Chemometrics algorithms, such as partial least squares regression (PLSR), were implemented on a large data set for SERS analysis, allowing LoD and LoQ values of 12.12 and 36.37 μM, respectively. We compared the performance of our D-SERS device to that of a commercial Raman system, demonstrating its efficiency and reliability. Moreover, the D-SERS device was validated against HPLC employing samples from ICU patients, showing a good correlation (<i>R</i><sup>2</sup> = 0.8, <i>p</i> < 0.05) with a bias of 14.3 μM overestimation. The whole D-SERS system is compact and easy to operate, and results are obtained within 15-20 min, supporting its clinical feasibility for point-of-care therapeutic drug monitoring of antibiotics.

Analytical ChemistryVol. 97(14)
University of Copenhagen (DK), Copenhagen University Hospital (DK), Rigshospitalet (DK), Technical University of Denmark (DK)
Openalex Percentile: Top 3%
Antibiotics Pharmacokinetics and Efficacy
6.97
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