scholarly journals Analysis of IV Drugs in the Hospital Workflow by Raman Spectroscopy: The Case of Piperacillin and Tazobactam

Molecules ◽  
2021 ◽  
Vol 26 (19) ◽  
pp. 5879
Author(s):  
Ioanna Chrisikou ◽  
Malvina Orkoula ◽  
Christos Kontoyannis

Medical errors associated with IV preparation and administration procedures in a hospital workflow can even cost human lives due to the direct effect they have on patients. A large number of such incidents, which have been reported in bibliography up to date, indicate the urgent need for their prevention. This study aims at proposing an analytical methodology for identifying and quantifying IV drugs before their administration, which has the potential to be fully harmonized with clinical practices. More specifically, it reports on the analysis of a piperacillin (PIP) and tazobactam (TAZ) IV formulation, using Raman spectroscopy. The simultaneous analysis of the two APIs in the same formulation was performed in three stages: before reconstitution in the form of powder without removing the substance out of the commercial glass bottle (non-invasively), directly after reconstitution in the same way, and just before administration, either the liquid drug is placed in the infusion set (on-line analysis) or a minimal amount of it is transferred from the IV bag to a Raman optic cell (at-line analysis). Except for the successful identification of the APIs in all cases, their quantification was also achieved through calibration curves with correlation coefficients ranging from 0.953 to 0.999 for PIP and from 0.965 to 0.997 for TAZ. In any case, the whole procedure does not need more than 10 min to be completed. The current methodology, based on Raman spectroscopy, outweighs other spectroscopic (UV/Vis, FT-IR/ATR) or chromatographic (HPLC, UHPLC) protocols, already applied, which are invasive, costly, time-consuming, not environmentally friendly, and require specialized staff and more complex sample preparation procedures, thus exposing the staff to hazardous materials, especially in cases of cytotoxic drugs. Such an approach has the potential to bridge the gap between experimental setup and clinical implementation through exploitation of already developed handheld devices, along with the presence of digital spectral libraries.

2001 ◽  
Vol 55 (9) ◽  
pp. 1138-1150 ◽  
Author(s):  
Ian M. Clegg ◽  
Neil J. Everall ◽  
Bert King ◽  
Hugh Melvin ◽  
Colin Norton

1993 ◽  
Vol 47 (8) ◽  
pp. 1115-1122 ◽  
Author(s):  
John J. Freeman ◽  
David O. Fisher ◽  
Gregory J. Gervasio

Fourier transform (FT)-Raman spectroscopy has been applied to the online analysis and control of a PCI, reactor. This particular analytical technique was selected from a consideration of the Raman scattering efficiencies of the constituents of the reaction and the ability of the fiberoptic-coupled, near-IR, FT-Raman systems to remotely sample the toxic and potentially hazardous reaction mixture. In this communication we describe the Raman spectra of P4, PCl3, PCl5, and P4 dissolved in PCl3, as well as related compounds, along with relative band intensities of the constituents of the reaction. Factors leading to the optimum FT-Raman configuration for this particular process control problem are discussed in detail.


2007 ◽  
Vol 61 (10) ◽  
pp. 1107-1115 ◽  
Author(s):  
M. J. Pelletier ◽  
M. L. Fabiilli ◽  
Brian Moon

We describe the use of an on-line Raman analyzer to quantitatively track the levels of trans-stilbene, benzaldehyde, and α-methoxybenzyl hydroperoxide in a continuous flow ozonolysis reactor. Quantitative analysis is carried out using spectral stripping in order to overcome baseline artifacts inherent in simple peak area determinations and to incorporate prior knowledge into the analytical model. The performance of spectral stripping is compared to partial least squares (PLS) analysis. The effect of two process variables, feed flow rate and ozone concentration, are also explored. Finally, the benefit of utilizing an on-line technique is illustrated by demonstrating the bias introduced by sampling for off-line analysis.


2003 ◽  
Vol 75 (9) ◽  
pp. 2166-2171 ◽  
Author(s):  
Nicolae Leopold ◽  
Michael Haberkorn ◽  
Thomas Laurell ◽  
Johan Nilsson ◽  
Josefa R. Baena ◽  
...  

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