The diagnostic accuracy of the hand-held Raman spectrometer for the identification of anti-malarial drugs

Abstract Background There is a need for accurate and field-applicable instruments for the evaluation of the quality of anti-malarial drugs. The aim of this study was to determine the diagnostic accuracy of the NanoRam®, a handheld Raman spectrometer (RS), to identify anti-malarial drugs. Methods In total, 289 anti-malarial drugs collected in a randomized field survey in Gabon were evaluated. The samples were compared with authentic products as supplied by the official manufacturer. To determine the sensitivity and specificity of the handheld NanoRam® spectrometer in the identification of anti-malarial drugs, a two-gate reversed-flow design was applied. The standards for reporting of diagnostic accuracy studies (STARD) were followed. The index test was the handheld RS. The reference test standards were thin layer chromatography and high performance liquid chromatography with ultraviolet photo diode array detection. Results The sensitivity [95 % confidence interval (95 % CI)] and specificity of the RS to correctly identify an anti-malarial drug were 100 % (95 % CI 94.9–100 %) and 96 % (95 % CI 92.3–99.0 %), respectively. The RS could not differentiate between different batches of the same product or different manufacturers of the same product. Intra-observer agreement for 289 samples was 100 %. The average time to conduct the RS was 15 s per sample compared to 45 min per sample for TLC. Conclusion The handheld RS holds promise as an easy-to-use, quick and field-applicable instrument for the evaluation of quality of anti-malarial drugs, potentially empowering pharmacists, drug inspectors and medical regulatory authorities. Trial registration NTR4341 (Dutch Trial Registry)

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.c.3630032.v1
PID https://www.doi.org/10.15496/publikation-16507
PID https://www.doi.org/10.6084/m9.figshare.c.3630032
URL http://dx.doi.org/10.15496/publikation-16507
URL http://dx.doi.org/10.6084/m9.figshare.c.3630032
URL http://dx.doi.org/10.6084/m9.figshare.c.3630032.v1
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Closed Access
Attribution

Description: Authorships and contributors

Field Value
Author Visser, Benjamin
Author Vries, Sophia
Author Bache, Emmanuel
Author Meerveld-Gerrits, Janneke
Author Kroon, Daniëlle
Author Boersma, Jimmy
Author Selidji Agnandji
Author Vugt, Michèle
Author Grobusch, Martin
Contributor University, My
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite
Hosted By figshare
Publication Date 2016-01-01
Publisher Figshare
Additional Info
Field Value
Language UNKNOWN
Resource Type Collection; Other ORP type
keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
system:type other
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::4862debdd91cad87ffca33f893e95c00
Author jsonws_user
Last Updated 20 December 2020, 03:30 (CET)
Created 20 December 2020, 03:30 (CET)