Near infrared spectroscopy to monitor drug release in-situ during dissolution tests

Sarraguça, Mafalda C.; Matias, R.; Figueiredo, Raquel; Ribeiro, Paulo Roberto da Silva; Martins, Ana Teixeira; Lopes, João A.

doi:10.1016/j.ijpharm.2016.09.010

Cited by 9 publications

(3 citation statements)

References 35 publications

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“…Near-infrared spectroscopy (NIRS) is a non-destructive and rapid technology, which has been widely used in food quality evaluation, agricultural analysis, drug testing, water quality testing and assessment, grain breeding, etc. [8][9][10]. Based on the different absorbance of C-H, N-H and O-H bonds of organic compounds, an holistic NIRS model has been developed and applied to estimate the constituents and chemical compounds simultaneously, speeding up analysis, reducing the use toxic of reagents that pollute the environment, preventing damage to the sample itself, and reducing the need for sample preparation [11,12].…”

Section: Introductionmentioning

confidence: 99%

Model Exploration and Application of Near-Infrared Spectroscopy for Species Separation and Quantification during Mixed Litter Decomposition in Subtropical Forests of China

Zou,

Zhang,

et al. 2024

Forests

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Litter of different species coexists in the natural ecosystem and may induce non-additive effects during decomposition. Identifying and quantifying the origins of species in litter mixtures is essential for evaluating the responses of each component species when mixed with co-occurring species and then unraveling the underlying mechanism of the mixing effects of litter decomposition. Here, we used near-infrared spectroscopy (NIRS) to predict the species composition and proportions of four-tree species foliage mixtures in association with litter crude ash and litter decomposition time. To simulate the whole mixed litter decomposition process in situ, a controlled mixture of four tree species litter leaves consisting of 15 tree species combinations and 193 artificial mixed-species samples were created for model development and verification using undecomposed pure tree species and decomposed litter of single tree species over one year. Two series of NIRS models were developed with the original mass and ash-free weight as reference values. The results showed that these NIRS models could provide an accurate prediction for the percentage of the component species from in the litter leaf mixture’s composition. The predictive ability of the near-infrared spectroscopy model declined marginally with the prolonged litter decomposition time. Furthermore, the model with ash-free litter mass as a reference exhibited a higher coefficient of determination (R2) and a lower standard error of prediction (RMSECV). Thus, our results demonstrate that NIRS presents great potential for not only predicting the organic composition and proportion in multi-species mixed samples in static conditions, but also for samples in dynamic conditions (i.e., during the litter decomposition process), which could facilitate evaluation of the species-specific responses and impacts on the interspecific interactions of co-occurring species in high-biodiversity communities.

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Section: Introductionmentioning

confidence: 99%

Model Exploration and Application of Near-Infrared Spectroscopy for Species Separation and Quantification during Mixed Litter Decomposition in Subtropical Forests of China

Zou,

Zhang,

et al. 2024

Forests

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“…Several methods for monitoring of drug dissolution from different dosage forms have been developed (Kuentz 2014). These include UV fiber optics (Mirza et al, 2009), UV imaging alone (Østergaard et al, 2014) or combined with Raman spectroscopy (Boetker et al, 2011), methods based on infrared (IR) (Coutts-Lendon et al, 2003) or near-infrared (NIR) spectroscopy (Sarraguça et al, 2016), potentiometric methods (Bohets et al, 2007) and optical particle analysis (Laitinen et al, 2016). Recently, multi-parametric surface plasmon resonance (MP-SPR) was used for real-time monitoring of the drug release process from EUDRAGIT  RL PO poly(ethyl acrylate-co-methyl methacrylate-co trimethylammonioethyl methacrylate chloride) (RLPO) thin films (Korhonen et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Reflectometric monitoring of the dissolution process of thin polymeric films

Laitinen

Räty²,

Korhonen

et al. 2017

International Journal of Pharmaceutics

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Pharmaceutical thin films are versatile drug-delivery platforms i.e. allowing transdermal, oral, sublingual and buccal administration. However, dissolution testing of thin films is challenging since the commonly used dissolution tests for conventional dosage forms correspond rather poorly to the physiological conditions at the site of administration. Here we introduce a traditional optical reflection method for monitoring the dissolution behavior of thin polymeric films. The substances, e.g. drug molecules, released from the film generate an increase in the refractive index in the liquid medium which can be detected by reflectance monitoring. Thin EUDRAGIT RL PO poly(ethyl acrylate-co-methyl methacrylate-co trimethylammonioethyl methacrylate chloride) (RLPO) films containing the model drug perphenazine (PPZ) were prepared by spraying on a glass substrate. The glass substrates were placed inside the flow cell in the reflectometer which was then filled with phosphate buffer solution. Dissolution was monitored by measuring the reflectance of the buffer liquid. The method was able to detect the distinctive dissolution characteristics of different film formulations and measured relatively small drug concentrations. In conclusion, it was demonstrated that a traditional optical reflection method can provide valuable information about the dissolution characteristics of thin polymeric films in low liquid volume surroundings.

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Section: Introductionmentioning

confidence: 99%

Correlation between calculated molecular descriptors of excipient amino acids and experimentally observed thermal stability of lysozyme

Meng-Lund

Friis

Weert

et al. 2017

International Journal of Pharmaceutics

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A quantitative structure-property relationship (QSPR) between protein stability and the physicochemical properties of excipients was investigated to enable a more rational choice of stabilizing excipients than prior knowledge. The thermal transition temperature and aggregation time were determined for lysozyme in combination with 13 different amino acids using high throughput fluorescence spectroscopy and kinetic static light scattering measurements. On the theoretical side, around 200 2D and 3D molecular descriptors were calculated based on the amino acids' chemical structure. Multivariate data analysis was applied to correlate the descriptors with the experimental results. It was possible to identify descriptors, i.e. amino acids properties, with a positive influence on either transition temperature or aggregation onset time, or both. A high number of hydrogen bond acceptor moieties was the most prominent stabilizing factor for both responses, whereas hydrophilic surface properties and high molecular mass density mostly had a positive influence on the unfolding temperature. A high partition coefficient (logP(o/w)) was identified as the most prominent destabilizing factor for both responses. The QSPR shows good correlation between calculated molecular descriptors and the measured stabilizing effect of amino acids on lysozyme.

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Near infrared spectroscopy to monitor drug release in-situ during dissolution tests

Cited by 9 publications

References 35 publications

Model Exploration and Application of Near-Infrared Spectroscopy for Species Separation and Quantification during Mixed Litter Decomposition in Subtropical Forests of China

Model Exploration and Application of Near-Infrared Spectroscopy for Species Separation and Quantification during Mixed Litter Decomposition in Subtropical Forests of China

Reflectometric monitoring of the dissolution process of thin polymeric films

Correlation between calculated molecular descriptors of excipient amino acids and experimentally observed thermal stability of lysozyme

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