2009
DOI: 10.1016/j.vibspec.2008.07.010
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Construction of a universal model for non-invasive identification of cephalosporins for injection using near-infrared diffuse reflectance spectroscopy

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Cited by 19 publications
(9 citation statements)
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“…Previous studies have confirmed that fiber optic probe models can be directly transferred to multiple FT-NIR instruments of the same brand without any special mathematical treatment [21], even though they are not used during model building. In this study, one analyst measured 15 batches of ibuprofen in the validation set during several days using two spectrometers, of which the TENSOR 37 was used in the model construction.…”
Section: Transferabilitymentioning
confidence: 99%
“…Previous studies have confirmed that fiber optic probe models can be directly transferred to multiple FT-NIR instruments of the same brand without any special mathematical treatment [21], even though they are not used during model building. In this study, one analyst measured 15 batches of ibuprofen in the validation set during several days using two spectrometers, of which the TENSOR 37 was used in the model construction.…”
Section: Transferabilitymentioning
confidence: 99%
“…Final product: identification and counterfeit detection Discriminating substances in tablet matrixes is possible and was studied by Chong and co-workers [57]. NIR can be and is commonly used for identity tests in quality control departments [58].…”
Section: Figure 910 Raw Materials Identification Through Plastic Bagmentioning
confidence: 99%
“…the accuracy of identification was approximately 95% and the method has been used in their mobile laboratories (see below). 26 temperature-constrained cascade correlation neural networks have been used with first derivative diffuse reflectance nIr spectra to discriminate qualified (containing the correct amount of apI), unqualified (containing less than the correct amount of apI) and counterfeit (containing no apI) pharmaceutical powders of metronidazole 27 and sulfaguanidine 28 with 100% accuracy.…”
Section: Identifying Generic Productsmentioning
confidence: 99%