New approach for rapid, non-invasive and non-destructive quantification by near infrared spectroscopy (NIRS): Application to amoxicillin infusion

Introduction

Nowadays, drugs are the third cause of serious adverse events. The preparation step is the greatest risk after the administration. This work aims to assess Near Infrared spectroscopy (NIRS) approach to quantify an active ingredient packaged syringe. This study focused on antibiotic molecules and more particularly amoxicillin.

Materials and methods

5 sets of 6 solutions from 1 to 200 mg / mL were prepared in 0.9% NaCl, contained in 2 mL glass vials and 10 mL syringes and then, analyzed by NIRS from 5,000 to 13,000 cm^-1 with a sample holder adapted to each packaging. Multivariate analysis allowed the selection of relevant spectral information (bands and pretreatments) to develop a prediction model based on data from samples in glass vials. The concentrations of samples from syringes were then predicted by this model.

Results and Discussion

The prediction model was developed by PLS (Partial Least Squares) regression on second derivative spectral data (R²=0.9997). The limit of quantitation (LOQ) was 50 mg/mL and error of cross validation (RMSECV) and error of prediction (RMSEP) were 1 mg/mL. After elimination of the spectral contribution of the packaging and correction of the model by optical paths of the two packages, 87% of syringes (n=30) were predicted with relative error less than 10% (m=3.3 +/- 6.1%; max 18.8%).

Conclusion

This study demonstrated the high interest of NIRS combined with chemometric analysis in the rapid control of drug preparations by direct measurement through the packaging. Results on discrimination considering other antibiotics are promising. NIRS represents a powerful tool to develop for securing the drug circuit of health institutions to ensure to patients the right product at the right dose.

Key words: Near Infrared Spectroscopy, infusion preparation, non-invasive control, antibiotics