Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy"

DOI

The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.

Matlab, R2021a

The data was collected using a system built in our labs outlined in the submitted paper.

The absorption data is the difference between the sample arm and reference arm. Both the unprocessed and preprocessed data is published here, see descriptions of the preprocessing under the data set in question.

Identifier
DOI https://doi.org/10.18710/IZ63JH
Related Identifier IsCitedBy https://doi.org/10.1364/AO.449908
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/IZ63JH
Provenance
Creator Fuglerud, Silje Skeide ORCID logo
Publisher DataverseNO
Contributor Fuglerud, Silje Skeide; NTNU – Norwegian University of Science and Technology; Hjelme, Dag Roar; Noh, Jong Wook; Aksnes, Astrid; Artifical Pancreas Trondheim
Publication Year 2022
Funding Reference Liaison Committee between the Central Norway Regional Health Authority and NTNU – Norwegian University of Science and Technology 46055510 ; The Research Council of Norway 248872
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Fuglerud, Silje Skeide (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Near infrared spectroscopy data; Dataset
Format text/plain
Size 5546; 6400; 1516579; 1484137; 8832; 2284; 23757; 19157; 3264118; 115709; 10034; 2163; 2501; 47231; 369567
Version 1.3
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences; Natural Sciences; Physics