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Nagy B, Galata DL, Farkas A, Nagy ZK. Application of Artificial Neural Networks in the Process Analytical Technology of Pharmaceutical Manufacturing-a Review. AAPS J 2022; 24:74. [PMID: 35697951 DOI: 10.1208/s12248-022-00706-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/06/2022] [Indexed: 01/22/2023] Open
Abstract
Industry 4.0 has started to transform the manufacturing industries by embracing digitalization, automation, and big data, aiming for interconnected systems, autonomous decisions, and smart factories. Machine learning techniques, such as artificial neural networks (ANN), have emerged as potent tools to address the related computational tasks. These advancements have also reached the pharmaceutical industry, where the Process Analytical Technology (PAT) initiative has already paved the way for the real-time analysis of the processes and the science- and risk-based flexible production. This paper aims to assess the potential of ANNs within the PAT concept to aid the modernization of pharmaceutical manufacturing. The current state of ANNs is systematically reviewed for the most common manufacturing steps of solid pharmaceutical products, and possible research gaps and future directions are identified. In this way, this review could aid the further development of machine learning techniques for pharmaceutical production and eventually contribute to the implementation of intelligent manufacturing lines with automated quality assurance.
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Affiliation(s)
- Brigitta Nagy
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary
| | - Dorián László Galata
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary
| | - Attila Farkas
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary
| | - Zsombor Kristóf Nagy
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary.
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2
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Comparison of Gaussian process regression, partial least squares, random forest and support vector machines for a near infrared calibration of paracetamol samples. RESULTS IN CHEMISTRY 2022. [DOI: 10.1016/j.rechem.2022.100508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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3
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Rasouli Z, Maeder M, Abdollahi H. Chemical model-based optimization of a sensor array for simultaneous determination of glucose and fructose. Microchem J 2022. [DOI: 10.1016/j.microc.2021.106944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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4
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Safarnejad A, Reza Hormozi-Nezhad M, Abdollahi H. Radial basis function-artificial neural network (RBF-ANN) for simultaneous fluorescent determination of cysteine enantiomers in mixtures. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 261:120029. [PMID: 34098477 DOI: 10.1016/j.saa.2021.120029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 06/12/2023]
Abstract
The determination of chiral compounds is critically important in chemical and pharmaceutical sciences. Cysteine amino acid is one of the important chiral compounds where each enantiomer (L and D) has different effects on fundamental physiological processes. The unique optical properties of nanoparticles make them a suitable probe for the determination of different analytes. In this work, the water-soluble thioglycolic acid (TGA)-capped cadmium-telluride (CdTe) quantum dots (QDs) were applied as optical nanoprobe for the simultaneous determination of cysteine enantiomers. The difference in the kinetics of the interactions between L- and D-cysteine with CdTe QDs is used for multivariate quantitative analysis. Multivariate methods are superior to univariate methods in determining the concentration of each enantiomer in the mixture without the information about the total chiral analyte concentration. As a nonlinear calibration method the radial basis function -artificial neural network (RBF-ANN) model was more successful in predicting L-and D-cysteine concentrations than the linear partial least squares regression (PLS) model.
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Affiliation(s)
- Azam Safarnejad
- Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran
| | - M Reza Hormozi-Nezhad
- Department of Chemistry, Sharif University of Technology, Tehran 11155-9516, Iran; Institute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran, Iran
| | - Hamid Abdollahi
- Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran.
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Thien TF, Yeo WS. A comparative study between PCR, PLSR, and LW-PLS on the predictive performance at different data splitting ratios. CHEM ENG COMMUN 2021. [DOI: 10.1080/00986445.2021.1957853] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Teck Fu Thien
- Department of Chemical Engineering, Curtin University, Malaysia, Miri, Sarawak, Malaysia
| | - Wan Sieng Yeo
- Department of Chemical Engineering, Curtin University, Malaysia, Miri, Sarawak, Malaysia
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Hammad SF, El-Khateeb BZ, El-Malla SF. Micelle-enhanced spectrofluorimetric determination of diphenhydramine: application to human plasma and its simultaneous determination with naproxen in pharmaceutical tablets. LUMINESCENCE 2020; 36:733-741. [PMID: 33332700 DOI: 10.1002/bio.3996] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 11/10/2020] [Accepted: 12/13/2020] [Indexed: 11/10/2022]
Abstract
Two simple and sensitive spectrofluorimetric methods were developed and validated for determination of diphenhydramine. The use of sodium dodecyl sulfate surfactant at pH 7 enhances the fluorescence intensity of diphenhydramine at 286 nm (method I) enabling its nanodetermination in biological samples with mean per cent recovery ± SD of 100.33 ± 1.519. Method I was validated according to ICH-Q2R1 guidelines and was successfully applied for determination of diphenhydramine in pharmaceutical dosage form and spiked human plasma in the concentration ranges 0.1-4.0 μg/mL and 0.2-1.0 μg/mL, respectively. Method I acted as a basis for the development of a first derivative synchronous spectrofluorimetry (method II) for simultaneous analysis of diphenhydramine and naproxen using a zero-crossing approach. Method II determines both drugs with linearity ranges of 0.05-3.0 μg/mL and 0.1-0.9 μg/mL for diphenhydramine and naproxen, respectively. The developed method was applied for the simultaneous determination of both drugs in their laboratory-prepared mixtures containing all expected excipients. Method II determines both drugs with a mean percent recovery ± SD of 100.56 ± 0.891 and 100.20 ± 1.125 for diphenhydramine and naproxen, respectively. The method was statistically compared with a reported method using Student's t- and F- tests, and no significant differences were observed.
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Affiliation(s)
- Sherin F Hammad
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Tanta University, The Medical Campus of Tanta University, Elgeish Street, Tanta, Egypt
| | - Basma Z El-Khateeb
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Tanta University, The Medical Campus of Tanta University, Elgeish Street, Tanta, Egypt
| | - Samah F El-Malla
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Tanta University, The Medical Campus of Tanta University, Elgeish Street, Tanta, Egypt
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Kirkpatrick D, Momot M, Anthony C. Development and validation of assay and impurities methods for acetaminophen and diphenhydramine tablets. SEPARATION SCIENCE PLUS 2020. [DOI: 10.1002/sscp.202000006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Douglas Kirkpatrick
- Food and Drug AdministrationCDER, Division of Pharmaceutical Analysis St Louis Missouri USA
| | - Magdalene Momot
- Food and Drug AdministrationCDER, Division of Pharmaceutical Analysis St Louis Missouri USA
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Mickel VM, Yeo WS, Saptoro A. Evaluating the Performance of Newly Integrated Model in Nonlinear Chemical Process Against Missing Measurements. CHEMICAL PRODUCT AND PROCESS MODELING 2019. [DOI: 10.1515/cppm-2018-0066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Application of data-driven soft sensors in manufacturing fields, for instance, chemical, pharmaceutical, and bioprocess have rapidly grown. The issue of missing measurements is common in chemical processing industries that involve data-driven soft sensors. Locally weighted Kernel partial least squares (LW-KPLS) algorithm has recently been proposed to develop adaptive soft sensors for nonlinear processes. This algorithm generally works well for complete datasets; however, it is unable to cope well with any datasets comprising missing measurements. Despite the above issue, limited studies can be found in assessing the effects of incomplete data and their treatment method on the predictive performances of LW-KPLS. To address these research gaps, therefore, a trimmed scores regression (TSR) based missing data imputation method was integrated to LW-KPLS to formulate trimmed scores regression assisted locally weighted Kernel partial least squares (TSR-LW-KPLS) model. In this study, this proposed TSR-LW-KPLS was employed to deal with missing measurements in nonlinear chemical process data. The performances of TSR-LW-KPLS were evaluated using three case studies having different percentages of missing measurements varying from 5 % to 40 %. The obtained results were then compared to the results from singular value decomposition assisted locally weighted Kernel partial least squares (SVD-LW-KPLS) model. SVD-LW-KPLS was also proposed by incorporating a singular value decomposition (SVD) based missing data treatment method into LW-KPLS. From the comparative studies, it is evident that the predictive accuracies of TSR-LW-KPLS are superior compared to the ones from SVD-LW-KPLS.
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Yeo WS, Saptoro A, Kumar P. Adaptive Soft Sensor Development for Non-Gaussian and Nonlinear Processes. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b03821] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wan Sieng Yeo
- Chemical Engineering Department, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
| | - Agus Saptoro
- Chemical Engineering Department, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
| | - Perumal Kumar
- Chemical Engineering Department, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
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Bondarev NV. Artificial Neural Network and Multiple Linear Regression for Prediction and Classification of Sustainability of Sodium and Potassium Coronates. RUSS J GEN CHEM+ 2019. [DOI: 10.1134/s1070363219070144] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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11
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Yeo WS, Saptoro A, Kumar P. Development of Adaptive Soft Sensor Using Locally Weighted Kernel Partial Least Square Model. CHEMICAL PRODUCT AND PROCESS MODELING 2017. [DOI: 10.1515/cppm-2017-0022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractLocally weighted partial least square (LW-PLS) model has been commonly used to develop adaptive soft sensors and process monitoring for numerous industries which include pharmaceutical, petrochemical, semiconductor, wastewater treatment system and biochemical. The advantages of LW-PLS model are its ability to deal with a large number of input variables, collinearity among the variables and outliers. Nevertheless, since most industrial processes are highly nonlinear, a traditional LW-PLS which is based on a linear model becomes incapable of handling nonlinear processes. Hence, an improved LW-PLS model is required to enhance the adaptive soft sensors in dealing with data nonlinearity. In this work, Kernel function which has nonlinear features was incorporated into LW-PLS model and this proposed model is named locally weighted kernel partial least square (LW-KPLS). Comparisons between LW-PLS and LW-KPLS models in terms of predictive performance and their computational loads were carried out by evaluating both models using data generated from a simulated plant. From the results, it is apparent that in terms of predictive performance LW-KPLS is superior compared to LW-PLS. However, it is found that computational load of LW-KPLS is higher than LW-PLS. After adapting ensemble method with LW-KPLS, computational loads of both models were found to be comparable. These indicate that LW-KPLS performs better than LW-PLS in nonlinear process applications. In addition, evaluation on localization parameter in both LW-PLS and LW-KPLS is also carried out.
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Podevin M, Fotidis IA, De Francisci D, Møller P, Angelidaki I. Detailing the start-up and microalgal growth performance of a full-scale photobioreactor operated with bioindustrial wastewater. ALGAL RES 2017. [DOI: 10.1016/j.algal.2017.04.030] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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13
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Hassaninejad-Darzi SK, Torkamanzadeh M. Simultaneous UV-Vis spectrophotometric quantification of ternary basic dye mixtures by partial least squares and artificial neural networks. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2016; 74:2497-2504. [PMID: 27858806 DOI: 10.2166/wst.2016.440] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
One of the main difficulties in quantification of dyes in industrial wastewaters is the fact that dyes are usually in complex mixtures rather than being pure. Here we report the development of two rapid and powerful methods, partial least squares (PLS-1) and artificial neural network (ANN), for spectral resolution of a highly overlapping ternary dye system in the presence of interferences. To this end, Crystal Violet (CV), Malachite Green (MG) and Methylene Blue (MB) were selected as three model dyes whose UV-Vis absorption spectra highly overlap each other. After calibration, both prediction models were validated through testing with an independent spectra-concentration dataset, in which high correlation coefficients (R2) of 0.998, 0.999 and 0.999 were obtained by PLS-1 and 0.997, 0.999 and 0.999 were obtained by ANN for CV, MG and MB, respectively. Having shown a relative error of prediction of less than 3% for all the dyes tested, both PLS-1 and ANN models were found to be highly accurate in simultaneous determination of dyes in pure aqueous samples. Using net-analyte signal concept, the quantitative determination of dyes spiked in seawater samples was carried out successfully by PLS-1 with satisfactory recoveries (90-101%).
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Affiliation(s)
- Seyed Karim Hassaninejad-Darzi
- Research Laboratory of Analytical & Organic Chemistry, Department of Chemistry, Faculty of Science, Babol University of Technology, Babol, Iran E-mail:
| | - Mohammad Torkamanzadeh
- Research Laboratory of Analytical & Organic Chemistry, Department of Chemistry, Faculty of Science, Babol University of Technology, Babol, Iran E-mail:
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14
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Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes. Bioprocess Biosyst Eng 2015; 38:1045-54. [DOI: 10.1007/s00449-014-1346-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Accepted: 12/19/2014] [Indexed: 12/13/2022]
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15
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Igne B, Drennen JK, Anderson CA. Improving near-infrared prediction model robustness with support vector machine regression: a pharmaceutical tablet assay example. APPLIED SPECTROSCOPY 2014; 68:1348-1356. [PMID: 25358108 DOI: 10.1366/14-07486] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Changes in raw materials and process wear and tear can have significant effects on the prediction error of near-infrared calibration models. When the variability that is present during routine manufacturing is not included in the calibration, test, and validation sets, the long-term performance and robustness of the model will be limited. Nonlinearity is a major source of interference. In near-infrared spectroscopy, nonlinearity can arise from light path-length differences that can come from differences in particle size or density. The usefulness of support vector machine (SVM) regression to handle nonlinearity and improve the robustness of calibration models in scenarios where the calibration set did not include all the variability present in test was evaluated. Compared to partial least squares (PLS) regression, SVM regression was less affected by physical (particle size) and chemical (moisture) differences. The linearity of the SVM predicted values was also improved. Nevertheless, although visualization and interpretation tools have been developed to enhance the usability of SVM-based methods, work is yet to be done to provide chemometricians in the pharmaceutical industry with a regression method that can supplement PLS-based methods.
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Affiliation(s)
- Benoît Igne
- Duquesne University Center for Pharmaceutical Technology, School of Pharmacy, 600 Forbes Avenue, Pittsburgh, PA 15282 USA
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16
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Kishk SM, Salama I, Mostafa S, El-Sadek M. STABILITY-INDICATING CHROMATOGRAPHIC METHOD FOR THE DETERMINATION OF BENZONATATE, DIPHENHYDRAMINE, GUAIFENESIN, AND PHENYLEPHRINE. J LIQ CHROMATOGR R T 2014. [DOI: 10.1080/10826076.2012.758140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Safaa M. Kishk
- a Department of Pharmaceutical Chemistry, Faculty of Pharmacy , Suez Canal University , Ismailia , Egypt
| | - Ismail Salama
- a Department of Pharmaceutical Chemistry, Faculty of Pharmacy , Suez Canal University , Ismailia , Egypt
| | - Samia Mostafa
- a Department of Pharmaceutical Chemistry, Faculty of Pharmacy , Suez Canal University , Ismailia , Egypt
| | - Mohamed El-Sadek
- b Department of Medicinal Chemistry, Faculty of Pharmacy , Zagazig University , Zagazig , Egypt
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Tashkhourian J, Hormozi-Nezhad MR, Khodaveisi J, Dashti R. Localized surface plasmon resonance sensor for simultaneous kinetic determination of peroxyacetic acid and hydrogen peroxide. Anal Chim Acta 2013; 762:87-93. [DOI: 10.1016/j.aca.2012.11.058] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2012] [Revised: 11/14/2012] [Accepted: 11/30/2012] [Indexed: 11/25/2022]
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Chen Y, Xie M, Zhang H, Wang Y, Nie S, Li C. Quantification of total polysaccharides and triterpenoids in Ganoderma lucidum and Ganoderma atrum by near infrared spectroscopy and chemometrics. Food Chem 2012. [DOI: 10.1016/j.foodchem.2012.04.089] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Naguib IA, Darwish HW. Support vector regression and artificial neural network models for stability indicating analysis of mebeverine hydrochloride and sulpiride mixtures in pharmaceutical preparation: a comparative study. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2012; 86:515-526. [PMID: 22137012 DOI: 10.1016/j.saa.2011.11.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2011] [Revised: 09/25/2011] [Accepted: 11/09/2011] [Indexed: 05/31/2023]
Abstract
A comparison between support vector regression (SVR) and Artificial Neural Networks (ANNs) multivariate regression methods is established showing the underlying algorithm for each and making a comparison between them to indicate the inherent advantages and limitations. In this paper we compare SVR to ANN with and without variable selection procedure (genetic algorithm (GA)). To project the comparison in a sensible way, the methods are used for the stability indicating quantitative analysis of mixtures of mebeverine hydrochloride and sulpiride in binary mixtures as a case study in presence of their reported impurities and degradation products (summing up to 6 components) in raw materials and pharmaceutical dosage form via handling the UV spectral data. For proper analysis, a 6 factor 5 level experimental design was established resulting in a training set of 25 mixtures containing different ratios of the interfering species. An independent test set consisting of 5 mixtures was used to validate the prediction ability of the suggested models. The proposed methods (linear SVR (without GA) and linear GA-ANN) were successfully applied to the analysis of pharmaceutical tablets containing mebeverine hydrochloride and sulpiride mixtures. The results manifest the problem of nonlinearity and how models like the SVR and ANN can handle it. The methods indicate the ability of the mentioned multivariate calibration models to deconvolute the highly overlapped UV spectra of the 6 components' mixtures, yet using cheap and easy to handle instruments like the UV spectrophotometer.
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Affiliation(s)
- Ibrahim A Naguib
- Analytical Chemistry Dept., Faculty of Pharmacy, Beni-Suef University, Beni-Suef 62111, Egypt.
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Melucci D, Monti D, D’Elia M, Luciano G. Rapid In Situ Repeatable Analysis of Drugs in Powder Form Using Reflectance Near-Infrared Spectroscopy and Multivariate Calibration. J Forensic Sci 2011; 57:86-92. [DOI: 10.1111/j.1556-4029.2011.01945.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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21
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Efficient Near-Infrared Spectroscopic Calibration Methods for Pharmaceutical Blend Monitoring. J Pharm Innov 2011. [DOI: 10.1007/s12247-011-9096-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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22
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Dönmez ÖA, Aşçı B, Bozdoğan A, Sungur S. Simultaneous determination of potassium guaiacolsulfonate, guaifenesin, diphenhydramine HCl and carbetapentane citrate in syrups by using HPLC-DAD coupled with partial least squares multivariate calibration. Talanta 2011; 83:1601-5. [DOI: 10.1016/j.talanta.2010.11.054] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2010] [Revised: 11/10/2010] [Accepted: 11/22/2010] [Indexed: 10/18/2022]
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23
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Tan C, Qin X, Li M. Subspace Regression Ensemble Method Based on Variable Clustering for Near-Infrared Spectroscopic Calibration. ANAL LETT 2009. [DOI: 10.1080/00032710902993845] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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24
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FANG H, LI H, LI Y, ZHAO J, XU J. Simultaneous Spectrophotometric Determination of Three Tolualdehyde Isomers by Artificial Neural Networks and Its Comparison with Partial Least Squares. CHINESE J CHEM 2009. [DOI: 10.1002/cjoc.200990089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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25
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Fatemi M, Haghdadi M. Quantitative structure–property relationship prediction of permeability coefficients for some organic compounds through polyethylene membrane. J Mol Struct 2008. [DOI: 10.1016/j.molstruc.2007.10.038] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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SRATTHAPHUT L, RUANGWISES N. Determination of Paracetamol and Orphenadrine Citrate in Pharmaceutical Tablets by Modeling of Spectrophotometric Data Using Partial Least-Squares and Artificial Neural Networks. YAKUGAKU ZASSHI 2007; 127:1723-9. [DOI: 10.1248/yakushi.127.1723] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Lawan SRATTHAPHUT
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Mahidol University
| | - Nongluck RUANGWISES
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Mahidol University
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Shao Y, He Y, Bao Y. A New Approach to Predict Acidity of Bayberry Juice by Using Vis/Near Infrared Spectroscopy. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2007. [DOI: 10.1080/10942910601060858] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Roggo Y, Chalus P, Maurer L, Lema-Martinez C, Edmond A, Jent N. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. J Pharm Biomed Anal 2007; 44:683-700. [PMID: 17482417 DOI: 10.1016/j.jpba.2007.03.023] [Citation(s) in RCA: 549] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2007] [Revised: 03/15/2007] [Accepted: 03/21/2007] [Indexed: 11/30/2022]
Abstract
Near-infrared spectroscopy (NIRS) is a fast and non-destructive analytical method. Associated with chemometrics, it becomes a powerful tool for the pharmaceutical industry. Indeed, NIRS is suitable for analysis of solid, liquid and biotechnological pharmaceutical forms. Moreover, NIRS can be implemented during pharmaceutical development, in production for process monitoring or in quality control laboratories. This review focuses on chemometric techniques and pharmaceutical NIRS applications. The following topics are covered: qualitative analyses, quantitative methods and on-line applications. Theoretical and practical aspects are described with pharmaceutical examples of NIRS applications.
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Affiliation(s)
- Yves Roggo
- F. Hoffmann-La Roche Ltd., Basel, Switzerland.
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29
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Lin LH, Lu FM, Chang YC. Development of a Near-Infrared Imaging System for Determination of Rice Moisture. Cereal Chem 2006. [DOI: 10.1094/cc-83-0498] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Lian-Hsiung Lin
- Lecturer, Department of Biomechatronic Engineering, National Ilan University; PhD candidate, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, 136, Chou-Shan Rd., Taipei, 106, Taiwan
| | - Fu-Ming Lu
- Professor, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, 136, Chou-Shan Rd., Taipei, 106, Taiwan
- Corresponding author. E-mail:
| | - Yung-Chiung Chang
- Assistant professor, Department of Horticulture, National Ilan University, 1, Sec. 1, Shen-Lung Rd., I-Lan, 260, Taiwan
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Espinosa Bosch M, Ruiz Sánchez AJ, Sánchez Rojas F, Bosch Ojeda C. Determination of paracetamol: historical evolution. J Pharm Biomed Anal 2006; 42:291-321. [PMID: 16716555 DOI: 10.1016/j.jpba.2006.04.007] [Citation(s) in RCA: 126] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2006] [Revised: 04/03/2006] [Accepted: 04/10/2006] [Indexed: 10/24/2022]
Abstract
Paracetamol is a common analgesic and antipyretic drug that is used for the relief of fever, headaches and other minor aches and pains. Their determination in pharmaceuticals is of paramount importance, since an overdose of paracetamol can cause fulminating hepatic necrosis and other toxic effects. Many analytical methodologies have been proposed for the determination of paracetamol. The aim of the present study is to evaluate the utility of different techniques for quantification of paracetamol content in pharmaceutical formulations and biological samples.
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Affiliation(s)
- M Espinosa Bosch
- Department of Analytical Chemistry, Faculty of Sciences, University of Málaga, Campus Teatinos, 29071 Málaga, Spain
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Moreira AB, Dias ILT, Neto GO, Zagatto EAG, Kubota LT. Simultaneous Spectrofluorimetric Determination of Paracetamol and Caffeine in Pharmaceutical Preparations in Solid‐Phase Using Partial Least Squares Multivariate Calibration. ANAL LETT 2006. [DOI: 10.1080/00032710500477092] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Li B, He Y, Lv J, Zhang Z. Simultaneous determination of rifampicin and isoniazid by continuous-flow chemiluminescence with artificial neural network calibration. Anal Bioanal Chem 2005; 383:817-24. [PMID: 16205895 DOI: 10.1007/s00216-005-0087-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2005] [Revised: 07/23/2005] [Accepted: 08/30/2005] [Indexed: 10/25/2022]
Abstract
In this paper a continuous-flow chemiluminescence (CL) system with artificial neural network calibration is proposed for simultaneous determination of rifampicin and isoniazid. This method is based on the different kinetic spectra of the analytes in their CL reaction with alkaline N-bromosuccinimide as oxidant. The CL intensity was measured and recorded every second from 1 to 300 s. The data obtained were processed chemometrically by use of an artificial neural network. The experimental calibration set was 20 sample solutions. The relative standard errors of prediction for both analytes were approximately 5%. The proposed method was successfully applied to the simultaneous determination of rifampicin and isoniazid in a combined pharmaceutical formulation.
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Affiliation(s)
- Baoxin Li
- Department of Chemistry, School of Chemistry and Materials, Shaanxi Normal University, Xi'an, 710062, PR China.
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Quantitative analysis of less soluble form IV in commercial carbamazepine (form III) by diffuse reflectance fourier transform spectroscopy (DRIFTS) and lazy learning algorithm. Anal Chim Acta 2005. [DOI: 10.1016/j.aca.2005.06.063] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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