Michael Stenbæk Schmidt
Research Subjects
Research Interests
Michael Stenbæk Schmidt has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Aradhana Dwivedi
Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
2 shared publications - Chen Liu
School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
2 shared publications - Dana Cialla-May
Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
2 shared publications - Edoardo Farnesi
Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
2 shared publications - Jürgen Popp
Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP) Friedrich Schiller University Jena Jena Germany
2 shared publications - Oleg Ryabchykov
Leibniz-Institut für Photonische Technologien e.V. (Germany)
2 shared publications
Latest Publications
- Open Access
- 8 February 2025
- Published by MDPI AG in Chemosensors
- Vol. 13 (2) , 58
Correction: Dwivedi et al. SERS-Driven Ceftriaxone Detection in Blood Plasma: A Protein Precipitation Approach. Chemosensors 2024, 12, 213
The blood-based samples for the original publication
- 8 February 2025
- Published by MDPI AG in Chemosensors
- Vol. 13 (2) , 58
Open AccessCorrection: Dwivedi et al. SERS-Driven Ceftriaxone Detection in Blood Plasma: A Protein Precipitation Approach. Chemosensors 2024, 12, 213
The blood-based samples for the original publication
- Open Access
- 16 October 2024
- Published by MDPI AG in Chemosensors
- Vol. 12 (10) , 213
SERS-Driven Ceftriaxone Detection in Blood Plasma: A Protein Precipitation Approach
Accurate detection of antibiotics in biological samples is essential for clinical diagnoses and therapeutic drug monitoring. This research examines how proteins and other substances in blood plasma affect the detection of the antibiotic ceftriaxone using surface-enhanced Raman spectroscopy (SERS). We detected ceftriaxone spiked in blood plasma without sample preparation within the range of 1 mg/mL to 50 µg/mL. By employing a pretreatment approach involving methanol-based protein precipitation to eliminate interfering substances from a spiked blood plasma solution, we could detect ceftriaxone down to 20 µg/mL. The comparative analysis demonstrates that the protein precipitation step enhances the sensitivity of SERS-based detection of drugs in the matrix blood plasma. The insights derived from this study are highly beneficial and can prove advantageous in developing new antibiotic detection methods that are both sensitive and selective in complex biological matrices. These methods can have important implications for clinical treatments.
- 16 October 2024
- Published by MDPI AG in Chemosensors
- Vol. 12 (10) , 213
Open AccessSERS-Driven Ceftriaxone Detection in Blood Plasma: A Protein Precipitation Approach
Accurate detection of antibiotics in biological samples is essential for clinical diagnoses and therapeutic drug monitoring. This research examines how proteins and other substances in blood plasma affect the detection of the antibiotic ceftriaxone using surface-enhanced Raman spectroscopy (SERS). We detected ceftriaxone spiked in blood plasma without sample preparation within the range of 1 mg/mL to 50 µg/mL. By employing a pretreatment approach involving methanol-based protein precipitation to eliminate interfering substances from a spiked blood plasma solution, we could detect ceftriaxone down to 20 µg/mL. The comparative analysis demonstrates that the protein precipitation step enhances the sensitivity of SERS-based detection of drugs in the matrix blood plasma. The insights derived from this study are highly beneficial and can prove advantageous in developing new antibiotic detection methods that are both sensitive and selective in complex biological matrices. These methods can have important implications for clinical treatments.