Evidence map›Paper›PMID 30018274›Full record

ArticlePharmaceutics2018

Dynamic Light Scattering of Biopharmaceutics-Can Analytical Performance Be Enhanced by Laser Power?

Simone Aleandri, Andrea Vaccaro, Ricardo Armenta, Andreas Charles Völker, Martin Kuentz

Abstract read
In one paragraph

Article in Pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Simone AleandriInstitute of Pharma Technology, University of Applied Sciences and Arts Northwestern Switzerland, Gründenstrasse 40, 4132 Muttenz, Switzerland. simone.aleandri@fhnw.ch.
Andrea VaccaroLS Instruments, Passage du Cardinal 1, 1700 Fribourg, Switzerland. andrea.vaccaro@lsinstruments.ch.ORCID 0000-0002-4276-5648
Ricardo ArmentaLS Instruments, Passage du Cardinal 1, 1700 Fribourg, Switzerland. ricardo.armenta@lsinstruments.ch.
Andreas Charles VölkerLS Instruments, Passage du Cardinal 1, 1700 Fribourg, Switzerland. charles.voelker@lsinstruments.ch.ORCID 0000-0003-3793-6104
Martin KuentzInstitute of Pharma Technology, University of Applied Sciences and Arts Northwestern Switzerland, Gründenstrasse 40, 4132 Muttenz, Switzerland. martin.kuentz@fhnw.ch.ORCID 0000-0003-2963-2645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDynamic light scattering (DLS) is an important tool to characterize colloidal systems and adequate sizing is particularly critical in the field of protein formulations. Among the different factors that can influence the measurement result, the effect of laser power has so far not been studied thoroughly.

methodsThe sensitivity of a DLS instrument was first considered on a theoretical level, followed by experiments using DLS instruments, equipped with two different lasers of (nominal) 45 mW, and 100 mW, respectively. This work analyzes dilute colloidal dispersions of lysozyme as model protein.

resultsTheoretical findings agreed with experiments in that only enhanced laser power of 100 mW laser allowed measuring a 0.1 mg/mL protein dispersion in a reliable manner. Results confirmed the usefulness of the presented theoretical considerations in improving a general understanding of the limiting factors in DLS.

conclusionsLaser power is a critical aspect regarding adequate colloidal analysis by DLS. Practical guidance is provided to help scientists specifically with measuring dilute samples to choose both an optimal instrument configuration as well as a robust experimental procedure.

Indexed as

dynamic light scattering (DSL)laser powerlysozymeprotein aggregationprotein formulation

Identifiers

PMID30018274
PMCPMC6161136

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.