Monitoring of multiple solid-state transformations at tablet surfaces using multi-series near-infrared hyperspectral imaging and multivariate curve resolution

Alexandrino, Guilherme L.; Khorasani, Milad; Amigo, José Manuel; Rantanen, Jukka; Poppi, Ronei J.

doi:10.1016/j.ejpb.2015.03.034

Cited by 30 publications

(8 citation statements)

References 26 publications

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“…In [154] authors used near-infrared HSI to capture the local evolution of these transformations. In [155] authors employed multi-series HSI in combination with Multivariate Curve Resolution -Alternating Least Squares (MCR-ALS) and Parallel Factor Analysis (PARAFAC and PARAFAC2) to monitor solid-state transitions on the surface of pharmaceutical solid dosage forms (SDFs).…”

Section: A Algorithms Usedmentioning

confidence: 99%

Hyperspectral Imaging Algorithms and Applications: A Review

Akewar,

Chandak

2023

Preprint

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<p>The paper covers topics ranging from hyperspectral imaging applications to innovative algorithms that have enhanced the analysis of hyperspectral data. We delve into the practical applications, including Agriculture, Food Quality and Safety, Earth Sciences, Exploration and Monitoring, Healthcare, Pharmaceuticals, Medical Imaging, Industrial Manufacturing, Management, Conservation, Safety and Security. Our goal is to provide a holistic understanding of how hyperspectral imaging is transforming these fields and driving new possibilities. We also discussed detailed algorithmic development in Hyperspectral Imaging including Supervised and Unsupervised algorithms. We reviewed algorithmic development from the early 1980’s to recent developments including Artificial Intelligence involving algorithms from Machine Learning to Deep Learning. We believe our paper will be of particular interest to your readers for those who wish to study algorithm development from simple image processing procedures to AI based approaches and how these algorithms are used in diverse applications to make intelligent decisions for increasing productivity and efficiency in Agriculture, Exploration and Management and identification of diseases and natural resources. Our paper is well organized into various sections as per algorithms and applications. We reviewed more than 250 papers with proper citations and authors' research work.</p>

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Section: A Algorithms Usedmentioning

confidence: 99%

Hyperspectral Imaging Algorithms and Applications: A Review

Akewar,

Chandak

2023

Preprint

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“…It shows that the hyperspectral imaging combined with chemometrics is a powerful tool for drug uniformity detecting. Alexandrino et al, [85] aimed at evaluating the solid-state stability of APIs and excipients in solid dosage during pharmaceutical production and storage, and proposed an evaluation model combined with nearinfrared hyperspectral imaging method. The model uses the multivariate curve resolution alternating least squares method (MCR-ALS) to analyze the overlapping compounds during the pixel solid-phase conversion process.…”

Section: The Uniformity Detection Of the Drug Component Distributionmentioning

confidence: 99%

A Review of Pharmaceutical Robot based on Hyperspectral Technology

Wang

Mao

et al. 2022

J Intell Robot Syst

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The quality and safety of medicinal products are related to patients’ lives and health. Therefore, quality inspection takes a key role in the pharmaceutical industry. Most of the previous solutions are based on machine vision, however, their performance is limited by the RGB sensor. The pharmaceutical visual inspection robot combined with hyperspectral imaging technology is becoming a new trend in the high-end medical quality inspection process since the hyperspectral data can provide spectral information with spatial knowledge. Yet, there is no comprehensive review about hyperspectral imaging-based medicinal products inspection. This paper focuses on the pivotal pharmaceutical applications, including counterfeit drugs detection, active component analysis of tables, and quality testing of herbal medicines and other medical materials. We discuss the technology and hardware of Raman spectroscopy and hyperspectral imaging, firstly. Furthermore, we review these technologies in pharmaceutical scenarios. Finally, the development tendency and prospect of hyperspectral imaging technology-based robots in the field of pharmaceutical quality inspection is summarized.

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“…They demonstrated that the two water molecules that are bound at different sites dehydrate at different rates. Alexandrino et al showed that the solid-state transformations of two different hydratespiroxicam monohydrate and lactose monohydrate -that dehydrate simultaneously can be mapped separately on the surface of tablets using multi-series NIR hyperspectral imaging with multivariate data analysis (MCR-ALS) [162]. Hedoux et al investigated the dehydration of caffeine hydrate by in situ low-and high-frequency Raman spectroscopy [148].…”

Section: Hydrate Formation and Dehydrationmentioning

confidence: 99%

Application of Vibrational Spectroscopy to Study Solid-state Transformations of Pharmaceuticals

Erxleben

2016

CPD

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Understanding the properties, stability and transformations of the solid-state forms of an active pharmaceutical ingredient (API) in the development pipeline is of crucial importance for process-development, formulation development and FDA approval. Investigation of the polymorphism and polymorphic stability is a routine part of the preformulation studies. Vibrational spectroscopy allows the real-time in situ monitoring of phase transformations and probes intermolecular interactions between API molecules, between API and polymer in amorphous solid dispersions or between API and coformer in cocrystals or coamorphous systems and thus plays a major role in efforts to gain a predictive understanding of the relative stability of solid-state forms and formulations. Infrared (IR), near-infrared (NIR) and Raman spectroscopies, alone or in combination with other analytical methods, are important tools for studying transformations between different crystalline forms, between the crystalline and amorphous form, between hydrate and anhydrous form and for investigating solid-state cocrystal formation. The development of simple-to-use and cost-effective instruments on the one hand and recent technological advances such as access to the low-frequency Raman range down to 5 cm-1, on the other, have led to an exponential growth of the literature in the field. This review discusses the application of IR, NIR and Raman spectroscopies in the study of solid-state transformations with a focus on the literature published over the last eight years.

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Monitoring of multiple solid-state transformations at tablet surfaces using multi-series near-infrared hyperspectral imaging and multivariate curve resolution

Cited by 30 publications

References 26 publications

Hyperspectral Imaging Algorithms and Applications: A Review

Hyperspectral Imaging Algorithms and Applications: A Review

A Review of Pharmaceutical Robot based on Hyperspectral Technology

Application of Vibrational Spectroscopy to Study Solid-state Transformations of Pharmaceuticals

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