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Sadergaski LR, Hager TJ, Andrews HB. Design of Experiments, Chemometrics, and Raman Spectroscopy for the Quantification of Hydroxylammonium, Nitrate, and Nitric Acid. ACS OMEGA 2022; 7:7287-7296. [PMID: 35252718 PMCID: PMC8892473 DOI: 10.1021/acsomega.1c07111] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/02/2022] [Indexed: 05/05/2023]
Abstract
Selecting optimal combinations of preprocessing methods is a major holdup for chemometric analysis. The analyst decides which method(s) to apply to the data, frequently by highly subjective or inefficient means, such as user experience or trial and error. Here, we present a user-friendly method using optimal experimental designs for selecting preprocessing transformations. We applied this strategy to optimize partial least square regression (PLSR) analysis of Stokes Raman spectra to quantify hydroxylammonium (0-0.5 M), nitric acid (0-1 M), and total nitrate (0-1.5 M) concentrations. The best PLSR model chosen by a determinant (D)-optimal design comprising 26 samples (i.e., combinations of preprocessing methods) was compared with PLSR models built with no preprocessing, a user-selected preprocessing method (i.e., trial and error), and a user-defined design strategy (576 samples). The D-optimal selection strategy improved PLSR prediction performance by more than 50% compared with the raw data and reduced the number of combinations by more than 95.5%.
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Affiliation(s)
- Luke R. Sadergaski
- Oak
Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, United States
- . Telephone: +1 (865) 574-1167
| | - Travis J. Hager
- Department
of Chemistry, University of Missouri, 125 Chemistry Building Columbia, Missouri 65211, United States
| | - Hunter B. Andrews
- Oak
Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, United States
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Villanueva-López V, Pacheco-Londoño LC, Villarreal-González R, Castro-Suarez JR, Román-Ospino A, Ortiz-Rivera W, Galán-Freyle NJ, Hernandez-Rivera SP. API Content and Blend Uniformity Using Quantum Cascade Laser Spectroscopy Coupled with Multivariate Analysis. Pharmaceutics 2021; 13:pharmaceutics13070985. [PMID: 34209940 PMCID: PMC8309115 DOI: 10.3390/pharmaceutics13070985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 11/16/2022] Open
Abstract
The process analytical technology (PAT) initiative proposed by the US Food and Drug Administration (FDA) suggests innovative methods to better understand pharmaceutical processes. The development of analytical methods that quantify active pharmaceutical ingredients (APIs) in powders and tablets is fundamental to monitoring and controlling a drug product's quality. Analytical methods based on vibrational spectroscopy do not require sample preparation and can be implemented during in-line manufacturing to maintain quality at each stage of operations. In this study, a mid-infrared (MIR) quantum cascade laser (QCL) spectroscopy-based protocol was performed to quantify ibuprofen in formulations of powder blends and tablets. Fourteen blends were prepared with varying concentrations from 0.0% to 21.0% (w/w) API. MIR laser spectra were collected in the spectral range of 990 to 1600 cm-1. Partial least squares (PLS) models were developed to correlate the intensities of vibrational signals with API concentrations in powder blends and tablets. PLS models were evaluated based on the following figures of merit: correlation coefficient (R2), root mean square error of calibration, root mean square error of prediction, root mean square error of cross-validation, and relative standard error of prediction. QCL assisted by multivariate analysis was demonstrated to be accurate and robust for analysis of the content and blend uniformity of pharmaceutical compounds.
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Affiliation(s)
- Vladimir Villanueva-López
- ALERT DHS Center of Excellence for Explosives Research, Department of Chemistry, University of Puerto Rico, Mayagüez, PR 00681, USA; (V.V.-L.); (L.C.P.-L.); (J.R.C.-S.); (W.O.-R.)
| | - Leonardo C. Pacheco-Londoño
- ALERT DHS Center of Excellence for Explosives Research, Department of Chemistry, University of Puerto Rico, Mayagüez, PR 00681, USA; (V.V.-L.); (L.C.P.-L.); (J.R.C.-S.); (W.O.-R.)
- Pharmaceutical Chemistry Department, School of Basic and Biomedical Sciences, Universidad Simón Bolívar, Barranquilla 080002, Colombia
- AudacIA Center, Universidad Simón Bolívar, Barranquilla 080002, Colombia;
| | | | - John R. Castro-Suarez
- ALERT DHS Center of Excellence for Explosives Research, Department of Chemistry, University of Puerto Rico, Mayagüez, PR 00681, USA; (V.V.-L.); (L.C.P.-L.); (J.R.C.-S.); (W.O.-R.)
- Exact Basics Area, Universidad del Sinú, Unisinú, Cartagena 130015, Colombia
| | - Andrés Román-Ospino
- Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
| | - William Ortiz-Rivera
- ALERT DHS Center of Excellence for Explosives Research, Department of Chemistry, University of Puerto Rico, Mayagüez, PR 00681, USA; (V.V.-L.); (L.C.P.-L.); (J.R.C.-S.); (W.O.-R.)
| | - Nataly J. Galán-Freyle
- Pharmaceutical Chemistry Department, School of Basic and Biomedical Sciences, Universidad Simón Bolívar, Barranquilla 080002, Colombia
- Correspondence: (N.J.G.-F.); (S.P.H.-R.); Tel.: +57-(5)-344-4333 (N.J.G.-F.)
| | - Samuel P. Hernandez-Rivera
- ALERT DHS Center of Excellence for Explosives Research, Department of Chemistry, University of Puerto Rico, Mayagüez, PR 00681, USA; (V.V.-L.); (L.C.P.-L.); (J.R.C.-S.); (W.O.-R.)
- Correspondence: (N.J.G.-F.); (S.P.H.-R.); Tel.: +57-(5)-344-4333 (N.J.G.-F.)
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Kabir E, Raza N, Kumar V, Singh J, Tsang YF, Lim DK, Szulejko JE, Kim KH. Recent Advances in Nanomaterial-Based Human Breath Analytical Technology for Clinical Diagnosis and the Way Forward. Chem 2019. [DOI: 10.1016/j.chempr.2019.08.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Gallmeier EA, Gallmeier KM, McFarlane J, Morales-Rodriguez ME. Real time monitoring of the chemistry of hydroxylamine nitrate and iron as surrogates for nuclear materials processing. SEP SCI TECHNOL 2019. [DOI: 10.1080/01496395.2019.1606829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Esther A. Gallmeier
- Isotope and Fuel Cycle Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Katharina M. Gallmeier
- Isotope and Fuel Cycle Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Joanna McFarlane
- Isotope and Fuel Cycle Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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