1
|
Nagy MM, Wang S, Farag MA. Quality analysis and authentication of nutraceuticals using near IR (NIR) spectroscopy: A comprehensive review of novel trends and applications. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
2
|
Sardhara R, Chaturvedi K, Shah HS, Vinjamuri BP, Al-Achi A, Morris KR, Haware RV. Predictive Performance Comparison of Computed Linear and Quadratic Multivariate Models for In-Situ UV Fiber Optics Tablet Dissolution Testing. Eur J Pharm Sci 2021; 161:105806. [PMID: 33722733 DOI: 10.1016/j.ejps.2021.105806] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/11/2021] [Accepted: 03/08/2021] [Indexed: 11/25/2022]
Abstract
A present investigation aimed for multivariate modeling as a solution to resolve inaccuracy in dissolution testing experienced in the use of in-situ UV fiber optics dissolution systems (FODS) due to signal saturation problems. This problem is specifically encountered with high absorbance of moderate to high dose formulations. A high absorbance not only impede a real-time assessment but can also result in inaccurate dissolution profiles. Full spectra (F) and low absorbance regions (L) were employed to develop linear and quadratic (Q) partial least squares (PLS) and principal component regression (PCR) models. The conventional dissolution of atenolol, ibuprofen, and metformin HCl immediate-release (IR) tablets followed by HPLC analysis was used as a reference method to gauge multivariate models' performance in the 'built-in' Opt-Diss model. The linear multivariate modeling outputs resulted in accurate dissolution profiles, despite the potentially high UV signal saturation at later time points. Conversely, the 'built-in' Opt-Diss model and multivariate quadratic models failed to predict dissolution profiles accurately. The current studies show a good agreement in the predictions across both low absorbance region and full spectra, demonstrating the multivariate models' robust predictability. Overall, linear PLS and PCR models showed statistically similar results, which demonstrated their applicative flexibility for using FODS despite signal saturation and provides a unique alternative to traditional and labor-intensive UV or HPLC dissolution testing.
Collapse
Affiliation(s)
- Rusha Sardhara
- Division of Pharmaceutical Sciences, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, The Long Island University, Brooklyn, NY-11201, USA
| | - Kaushalendra Chaturvedi
- Division of Pharmaceutical Sciences, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, The Long Island University, Brooklyn, NY-11201, USA; J-Star Research Inc., 6 Cedar Brook Drive, Cranbury, NJ-08815, USA
| | - Harsh S Shah
- Division of Pharmaceutical Sciences, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, The Long Island University, Brooklyn, NY-11201, USA; J-Star Research Inc., 6 Cedar Brook Drive, Cranbury, NJ-08815, USA
| | - Bhavani Prasad Vinjamuri
- Department of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, MS-38677, USA
| | - Antoine Al-Achi
- College of Pharmacy & Health Sciences, Campbell University, Buies Creek, NC- 27506, USA
| | - Kenneth R Morris
- The Lachman Institute of Pharmaceutical Analysis, The Long Island University, Brooklyn, NY-11201, USA
| | - Rahul V Haware
- Division of Pharmaceutical Sciences, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, The Long Island University, Brooklyn, NY-11201, USA.
| |
Collapse
|
3
|
Razuc M, Grafia A, Gallo L, Ramírez-Rigo MV, Romañach RJ. Near-infrared spectroscopic applications in pharmaceutical particle technology. Drug Dev Ind Pharm 2019; 45:1565-1589. [DOI: 10.1080/03639045.2019.1641510] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- M. Razuc
- Instituto de Química del Sur (INQUISUR), Universidad Nacional del Sur (UNS)-CONICET, Bahía Blanca, Argentina
- Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina
| | - A. Grafia
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Bahía Blanca, Argentina
| | - L. Gallo
- Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Bahía Blanca, Argentina
| | - M. V. Ramírez-Rigo
- Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina
- Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)- CONICET, Bahía Blanca, Argentina
| | - R. J. Romañach
- Department of Chemistry, Center for Structured Organic Particulate Systems, University of Puerto Rico – Mayagüez, Mayagüez, Puerto Rico
| |
Collapse
|
4
|
Emerging technologies for the non-invasive characterization of physical-mechanical properties of tablets. Int J Pharm 2017; 532:299-312. [DOI: 10.1016/j.ijpharm.2017.09.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Revised: 08/31/2017] [Accepted: 09/04/2017] [Indexed: 11/22/2022]
|
5
|
Dave VS, Popielarczyk M, Boyce H, Al-Achi A, Ike-Amaechi E, Hoag SW, Haware RV. Lubricant-Sensitivity Assessment of SPRESS® B820 by Near-Infrared Spectroscopy: A Comparison of Multivariate Methods. J Pharm Sci 2017; 106:537-545. [DOI: 10.1016/j.xphs.2016.09.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 09/01/2016] [Accepted: 09/21/2016] [Indexed: 10/20/2022]
|
6
|
Kandpal LM, Park E, Tewari J, Cho BK. Spectroscopic Techniques for Nondestructive Quality Inspection of Pharmaceutical Products: A Review. ACTA ACUST UNITED AC 2015. [DOI: 10.5307/jbe.2015.40.4.394] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|