A Polarized Raman Spectroscopic Method for Advanced Analyses of the Osteon Lamellar Structure of Human Bone

2021 ◽  
Author(s):  
Giuseppe Pezzotti ◽  
Eiji Ishimura ◽  
Ryosuke Inai ◽  
Wenliang Zhu ◽  
Taigi Honma ◽  
...  
2019 ◽  
Vol 19 (2) ◽  
pp. 1288-1298 ◽  
Author(s):  
Anuradha R. Pallipurath ◽  
Jonathan M. Skelton ◽  
Andrea Erxleben ◽  
Patrick McArdle

Holzforschung ◽  
2020 ◽  
Vol 74 (11) ◽  
pp. 1043-1051
Author(s):  
Åke Henrik-Klemens ◽  
Katarina Abrahamsson ◽  
Charlotte Björdal ◽  
Alexandra Walsh

AbstractThe weakened microstructure of archaeological wood (AW) objects from waterlogged environments necessitates consolidation to avoid anisotropic shrinkage upon drying. Polymer impregnation through submergence or spraying treatments is commonly applied, and for larger and thicker objects, the impregnation period can stretch over decades. Thus, for efficient treatment, continuous monitoring of the impregnation status is required. Today, such monitoring is often destructive and expensive, requiring segments for extraction and chromatographic quantification. This study proposes an in situ Raman spectroscopic method for quantification of polyethylene glycol (PEG) in waterlogged AW. A calibration model was built on standards of PEG, cellulose powder, and milled wood lignin using orthogonal partial least squares (OPLS). The OPLS model had a strong linear relationship, and the PEG content in wood of varying degrees of degradation could be determined. However, the accuracy of the model was low with a root mean square error of prediction of 11 wt%. The low accuracy was traced to the heterogeneity in the calibration and validation set samples with regard to the small probing volume of the confocal instrumental setup.


Author(s):  
Jwal Doctor ◽  
Palak Thakkar ◽  
Mitul Prajapati ◽  
Nrupresh Patel ◽  
Priti J. Mehta

Objective: A rapid, non-destructive and non-solvent raman spectroscopic method for estimation of Montelukast from tablet dosages form Methods: Quantification was carried out by measuring the intensity of analyte peak at 1440 cm-1. Each Raman spectrum corresponded to an accumulation of 4 scans with an exposure time of 5 sec for each scan with a total integration time of 20 sec.Results: The method exhibited linearity between 2 mg-24 mg show well resolve quantification From MON. The linearity equation was calculated as y = 13.036x+70.819 and the correlation coefficient was found to be 0.997 for MON. LOD (limit of detection) and LOQ(limit of quantification) values were calculated using the calibration curve slope and standard deviation of the response. The LOD (limit of detection) and LOQ (limit of quantification) values were found to be 1.71 mg and 5.13 mg respectively.Conclusion: The developed method was successfully applied for assay of montelukast in the intact formulation. The method was validated according to an international conference on harmonisation guidelines. A recent study, montelukast sodium had been analysed by the raman method, but, looking into the tremendous potential of raman spectroscopic method; it can be extended as a process analysis and technology tool in various quality checks during manufacturing of pharmaceutical products.


2020 ◽  
Vol 32 (8) ◽  
pp. 1865-1868
Author(s):  
M. Chandra Sekhara Rao ◽  
R. Chenna Krishna Reddy ◽  
K.B. Chandra Sekhar ◽  
Y.V. Rami Reddy

A simple FT-Raman spectroscopic method was developed for identification of finasteride polymorph form in finished dosage form. Finasteride polymorph form I was used in the tablet preparation and the weight fraction of finasteride in tablet was only about 0.023. The method was successfully used to identify the polymorphic form of finasteride in tablet and also to detect up to a level of about 15% of the other polymorph of finasteride present in the solid dosage. The dosage form was characterized by different techniques i.e. powdered X-ray diffraction, infrared spectroscopy and Raman spectroscopy. Based on literature survey, only Raman spectroscopy method is able to identify the polymorph of finasteride in dosage form.


2010 ◽  
Author(s):  
Lin-P’ing Choo-Smith ◽  
Eric Marple ◽  
Mark Hewko ◽  
P. M. Champion ◽  
L. D. Ziegler

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