Batch-Specific Discrimination Using Nuclear Quadrupole Resonance Spectroscopy
(2015) In Analytical Chemistry 87(7). p.3806-3811- Abstract
- In this paper, we report on the identification of batches of analgesic paracetamol (acetaminophen) tablets using nitrogen-14 nuclear quadrupole resonance spectroscopy (N-14 NQR). The high sensitivity of NQR to the electron charge distribution surrounding the quadrupolar nucleus enables the unique characterization of the crystal structure of the material. Two hypothesis were tested on batches of the same brand: the within the same batch variability and the difference between batches that varied in terms of their batch number and expiry date. The multivariate analysis of variance (MANOVA) did not provide any within-batches variations, indicating the natural deviation of a medicine manufactured under the same conditions. Alternatively, the... (More)
- In this paper, we report on the identification of batches of analgesic paracetamol (acetaminophen) tablets using nitrogen-14 nuclear quadrupole resonance spectroscopy (N-14 NQR). The high sensitivity of NQR to the electron charge distribution surrounding the quadrupolar nucleus enables the unique characterization of the crystal structure of the material. Two hypothesis were tested on batches of the same brand: the within the same batch variability and the difference between batches that varied in terms of their batch number and expiry date. The multivariate analysis of variance (MANOVA) did not provide any within-batches variations, indicating the natural deviation of a medicine manufactured under the same conditions. Alternatively, the statistical analysis revealed a significant discrimination between the different batches of paracetamol tablets. Therefore, the NQR signal is an indicator of factors that influence the physical and chemical integrity of the material. Those factors might be the aging of the medicine, the manufacturing, or storage conditions. The results of this study illustrate the potential of NQR as promising technique in applications such as detection and authentication of counterfeit medicines. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5401371
- author
- Kyriakidou, Georgia ; Jakobsson, Andreas LU ; Althoefer, Kaspar and Barras, Jamie
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Analytical Chemistry
- volume
- 87
- issue
- 7
- pages
- 3806 - 3811
- publisher
- The American Chemical Society (ACS)
- external identifiers
-
- wos:000352659500036
- scopus:84926670163
- pmid:25719361
- ISSN
- 1520-6882
- DOI
- 10.1021/ac5044658
- language
- English
- LU publication?
- yes
- id
- dc2af67b-7076-4589-81e9-dc7d309cce5f (old id 5401371)
- date added to LUP
- 2016-04-01 10:14:02
- date last changed
- 2022-04-04 03:42:12
@article{dc2af67b-7076-4589-81e9-dc7d309cce5f, abstract = {{In this paper, we report on the identification of batches of analgesic paracetamol (acetaminophen) tablets using nitrogen-14 nuclear quadrupole resonance spectroscopy (N-14 NQR). The high sensitivity of NQR to the electron charge distribution surrounding the quadrupolar nucleus enables the unique characterization of the crystal structure of the material. Two hypothesis were tested on batches of the same brand: the within the same batch variability and the difference between batches that varied in terms of their batch number and expiry date. The multivariate analysis of variance (MANOVA) did not provide any within-batches variations, indicating the natural deviation of a medicine manufactured under the same conditions. Alternatively, the statistical analysis revealed a significant discrimination between the different batches of paracetamol tablets. Therefore, the NQR signal is an indicator of factors that influence the physical and chemical integrity of the material. Those factors might be the aging of the medicine, the manufacturing, or storage conditions. The results of this study illustrate the potential of NQR as promising technique in applications such as detection and authentication of counterfeit medicines.}}, author = {{Kyriakidou, Georgia and Jakobsson, Andreas and Althoefer, Kaspar and Barras, Jamie}}, issn = {{1520-6882}}, language = {{eng}}, number = {{7}}, pages = {{3806--3811}}, publisher = {{The American Chemical Society (ACS)}}, series = {{Analytical Chemistry}}, title = {{Batch-Specific Discrimination Using Nuclear Quadrupole Resonance Spectroscopy}}, url = {{http://dx.doi.org/10.1021/ac5044658}}, doi = {{10.1021/ac5044658}}, volume = {{87}}, year = {{2015}}, }