Title data
Huang, Jing ; Ali, Nairveen ; Quansah, Elsie ; Guo, Shuxia ; Noutsias, Michel ; Meyer-Zedler, Tobias ; Bocklitz, Thomas ; Popp, Jürgen ; Neugebauer, Ute ; Ramoji, Anuradha:
Vibrational Spectroscopic Investigation of Blood Plasma and Serum by Drop Coating Deposition for Clinical Application.
In: International Journal of Molecular Sciences.
Vol. 22
(2021)
Issue 4
.
- 2191.
ISSN 1422-0067
DOI: https://doi.org/10.3390/ijms22042191
Abstract in another language
In recent decades, vibrational spectroscopic methods such as Raman and FT-IR spectroscopy are widely applied to investigate plasma and serum samples. These methods are combined with drop coating deposition techniques to pre-concentrate the biomolecules in the dried droplet to improve the detected vibrational signal. However, most often encountered challenge is the inhomogeneous redistribution of biomolecules due to the coffee-ring effect. In this study, the variation in biomolecule distribution within the dried-sample droplet has been investigated using Raman and FT-IR spectroscopy and fluorescence lifetime imaging method. The plasma-sample from healthy donors were investigated to show the spectral differences between the inner and outer-ring region of the dried-sample droplet. Further, the preferred location of deposition of the most abundant protein albumin in the blood during the drying process of the plasma has been illustrated by using deuterated albumin. Subsequently, two patients with different cardiac-related diseases were investigated exemplarily to illustrate the variation in the pattern of plasma and serum biomolecule distribution during the drying process and its impact on patient-stratification. The study shows that a uniform sampling position of the droplet, both at the inner and the outer ring, is necessary for thorough clinical characterization of the patient’s plasma and serum sample using vibrational spectroscopy.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Keywords: | plasma; serum; coffee-ring effect; cardiac patients; vibrational spectroscopy; fluorescence lifetime |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
Result of work at the UBT: | No |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 500 Science > 530 Physics |
Date Deposited: | 11 May 2023 12:48 |
Last Modified: | 11 May 2023 12:48 |
URI: | https://eref.uni-bayreuth.de/id/eprint/76399 |