Simultaneous non-destructive determination of two components of combined paracetamol and amantadine hydrochloride in tablets and powder by NIR spectroscopy and artificial neural networks

Dou, Yong; Sun, Ying; Ren, Yang; Ju, Ping; Ren, Yaxuan

doi:10.1016/j.jpba.2004.11.017

Cited by 57 publications

(22 citation statements)

References 20 publications

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“…(2) The regularization parameter C in Eq. (14): it determines the tradeoff between minimizing the training error and minimizing model complexity. As a penalty parameter, its value is often determined by experiment.…”

Section: Support Vector Machine Classificationmentioning

confidence: 99%

“…It has been applied widely in the agricultural, nutritional, petrochemical, textile and pharmaceutical industries, especially the application of NIR spectroscopy for the qualitative and quantitative analysis of pharmaceutical samples has been significantly increased during the last decade [12][13][14][15][16]. It is known today that many studies have applied near-infrared reflectance spectroscopy to tea.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Qualitative identification of tea categories by near infrared spectroscopy and support vector machine

Zhao

Chen

Huang

et al. 2006

Journal of Pharmaceutical and Biomedical Analysis

110

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Section: Support Vector Machine Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Qualitative identification of tea categories by near infrared spectroscopy and support vector machine

Zhao

Chen

Huang

et al. 2006

Journal of Pharmaceutical and Biomedical Analysis

110

View full text Add to dashboard Cite

“…Besides the application of ANNs in assessment of purity, stability, and quantification of different crystalline forms of a drug, new easy and fast ways of acquiring data obtained with reliable instrumental techniques have allowed neural networks to be widely used for the quantification of medicinal products (50)(51)(52)(53)(54)(55)(56)(57)(58)(59)(60)(61).…”

Section: Neural Network In Pharmaceutical and Clinical Analysismentioning

confidence: 99%

Artificial Neural Networks: Theoretical Background and Pharmaceutical Applications: A Review

Wesołowski

Suchacz

2012

j aoac int

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In recent times, there has been a growing interest in artificial neural networks, which are a rough simulation of the information processing ability of the human brain, as modern and vastly sophisticated computational techniques. This interest has also been reflected in the pharmaceutical sciences. This paper presents a review of articles on the subject of the application of neural networks as effective tools assisting the solution of various problems in science and the pharmaceutical industry, especially those characterized by multivariate and nonlinear dependencies. After a short description of theoretical background and practical basics concerning the computations performed by means of neural networks, the most important pharmaceutical applications of neural networks, with suitable references, are demonstrated. The huge role played by neural networks in pharmaceutical analysis, pharmaceutical technology, and searching for the relationships between the chemical structure and the properties of newly synthesized compounds as candidates for drugs is discussed.

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“…Near-infrared spectroscopy (NIRS) has been proved to remain a powerful analytical tool for analyzing a vast variety of samples from petrochemical, food, agricultural, and pharmaceutical industries [1]. During the last decade, it has experienced a significant increase for quantitative pharmaceutical tests.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Quantification of Paracetamol and Caffeine in Powder Blends for Tableting by NIR-Chemometry

Alecu

Tomuță

2017

Journal of Spectroscopy

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Near-infrared spectroscopy (NIRS) is a technique widely used for rapid and nondestructive analysis of solid samples. A method for simultaneous analysis of the two components of paracetamol and caffeine from powder blends has been developed by using chemometry with near-infrared spectroscopy (NIRS). The method development was performed on samples containing 80, 90, 100, 110, and 120% active pharmaceutical ingredients, and near-infrared spectroscopy (NIRS) spectra of prepared powder blends were recorded and analyzed in order to develop models for the prediction of drug content. Many calibration models were applied in order to perform quantitative determination of drug content in powder, and choosing the appropriate number of factors (principal components) proved to be of highly importance for a PLS chemometric calibration. Once the methods were developed, they were validated in terms of trueness, precision, and accuracy. The results obtained by NIRS methods were compared with those obtained by HPLC reference method, and no significant differences were found. Therefore, the NIR chemometry methods were proved to be a suitable tool for predicting chemical properties of powder blends and for simultaneous determination of active pharmaceutical ingredients.

show abstract

Simultaneous non-destructive determination of two components of combined paracetamol and amantadine hydrochloride in tablets and powder by NIR spectroscopy and artificial neural networks

Cited by 57 publications

References 20 publications

Qualitative identification of tea categories by near infrared spectroscopy and support vector machine

Qualitative identification of tea categories by near infrared spectroscopy and support vector machine

Artificial Neural Networks: Theoretical Background and Pharmaceutical Applications: A Review

Simultaneous Quantification of Paracetamol and Caffeine in Powder Blends for Tableting by NIR-Chemometry

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