Detalhe da pesquisa
1.
Method Development and Validation of an Inline Process Analytical Technology Method for Blend Monitoring in the Tablet Feed Frame Using Raman Spectroscopy.
Anal Chem
; 90(14): 8436-8444, 2018 07 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-29905065
2.
Multi-layer Raman chemical mapping to investigate the effect of API particle size and blending shear rate on API domain sizes in pharmaceutical tablets.
Int J Pharm
; 624: 122052, 2022 Aug 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35902051
3.
NIR Spectroscopy as an Online PAT Tool for a Narrow Therapeutic Index Drug: Toward a Platform Approach Across Lab and Pilot Scales for Development of a Powder Blending Monitoring Method and Endpoint Determination.
AAPS J
; 24(6): 103, 2022 09 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-36171513
4.
Multivariate Spectroscopic Method Lifecycle Management as Part of the Quality Management System.
J Pharm Sci
; 110(8): 2925-2933, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-33785351
5.
Sampling optimization for blend monitoring of a low dose formulation in a tablet press feed frame using spatially resolved near-infrared spectroscopy.
Int J Pharm
; 602: 120594, 2021 Jun 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33857586
6.
Characterization of NIR interfaces for the feeding and in-line monitoring of a continuous granulation process.
Int J Pharm
; 574: 118848, 2020 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-31812798
7.
Development of an In-Line Near-Infrared Method for Blend Content Uniformity Assessment in a Tablet Feed Frame.
Appl Spectrosc
; 73(9): 1028-1040, 2019 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-30990067
8.
Influence of moisture variation on the performance of Raman spectroscopy in quantitative pharmaceutical analyses.
J Pharm Biomed Anal
; 164: 528-535, 2019 Feb 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-30458386
9.
Analysis of unstable degradation impurities of a benzodiazepine and their quantification without isolation using multiple linear regression.
J Pharm Biomed Anal
; 167: 1-6, 2019 Apr 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30731352
10.
Investigation of the Sensitivity of Transmission Raman Spectroscopy for Polymorph Detection in Pharmaceutical Tablets.
Appl Spectrosc
; 71(8): 1856-1867, 2017 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-28357920
11.
Effect of Sampling Frequency for Real-Time Tablet Coating Monitoring Using Near Infrared Spectroscopy.
Appl Spectrosc
; 70(9): 1476-88, 2016 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-27503327
12.
Method development and validation for pharmaceutical tablets analysis using transmission Raman spectroscopy.
Int J Pharm
; 498(1-2): 318-25, 2016 Feb 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-26656945
13.
Designed blending for near infrared calibration.
J Pharm Sci
; 104(7): 2312-22, 2015 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-25980978
14.
Near-Infrared Spatially Resolved Spectroscopy for Tablet Quality Determination.
J Pharm Sci
; 104(12): 4074-4081, 2015 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-26317576
15.
Improving near-infrared prediction model robustness with support vector machine regression: a pharmaceutical tablet assay example.
Appl Spectrosc
; 68(12): 1348-56, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25358108
16.
Effects and detection of raw material variability on the performance of near-infrared calibration models for pharmaceutical products.
J Pharm Sci
; 103(2): 545-56, 2014 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-24338336
17.
Modeling strategies for pharmaceutical blend monitoring and end-point determination by near-infrared spectroscopy.
Int J Pharm
; 473(1-2): 219-31, 2014 Oct 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-25003830
18.
Effect of experimental design on the prediction performance of calibration models based on near-infrared spectroscopy for pharmaceutical applications.
Appl Spectrosc
; 66(12): 1442-53, 2012 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-23231907
19.
Radial tensile strength prediction of relaxing and relaxed compacts by near-infrared chemical imaging.
Int J Pharm
; 418(2): 297-303, 2011 Oct 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-21624448