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Consequences of New Approach to Chemical Stability Tests to Active Pharmaceutical Ingredients

Overview of attention for article published in Frontiers in Pharmacology, February 2016
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Title
Consequences of New Approach to Chemical Stability Tests to Active Pharmaceutical Ingredients
Published in
Frontiers in Pharmacology, February 2016
DOI 10.3389/fphar.2016.00017
Pubmed ID
Authors

Marzena Jamrógiewicz

Abstract

There is a great need of broaden look on stability tests of active pharmaceutical ingredients (APIs) in comparison with current requirements contained in pharmacopeia. By usage of many modern analytical methods the conception of monitoring the changes of APIs during initial stage of their exposure to harmful factors has been developed. New knowledge must be acquired in terms of identification of each degradation products, especially volatile ones. Further research as toxicology prediction during in silico studies of determined and identified degradation products is necessary. In silico methods are known as computational toxicology or computer-assisted technologies which are used for predicting toxicology of pharmaceutical substances such as impurities or degradation products. This is a specialized software and databases intended to calculate probability of genotoxicity or mutagenicity of these substances through a chemical structure-based screening process and algorithm specific to a given software program. Applying of new analytical approach is proposed as the usage of PAT tools, XRD, HS-SPME GC-MS/MS, LC-MS/MS for stability testing. Described improvements should be taken into account in case of each drug existing already in the market as well as being implemented as new one.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Bachelor 4 14%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Student > Ph. D. Student 2 7%
Other 4 14%
Unknown 10 34%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 24%
Chemistry 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Unspecified 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 16 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2016.
All research outputs
#20,305,223
of 22,844,985 outputs
Outputs from Frontiers in Pharmacology
#10,086
of 16,088 outputs
Outputs of similar age
#335,698
of 398,933 outputs
Outputs of similar age from Frontiers in Pharmacology
#63
of 90 outputs
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So far Altmetric has tracked 16,088 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.