Nimesulide analyses with 3D-printed multi-material sensors - Open Research Data - Bridge of Knowledge

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Nimesulide analyses with 3D-printed multi-material sensors

Description

The data set consists electroanalytical nimesulide detection with all 3D-printed CB-PLA based electrochemical cells (3DPEC). This is a proof-of-concept study for the designed electrochemical cell. The measurements were done in an industrial sewage after 1:10 dilution (v/v) in PBS. The 3DPEC turned out highly competitive in electroanalysis, with high reproducibility (RSD = 6.8% by CV, 3.4% by DPV), recovery rate of 90±5 %, ultra-low detection limit of 5.3 nM and selective vs most of the studied interferents. The measurements to be found in this dataset

  1. Reproducibility, stability, selectivity and regeneration experiments in detecting the analyte
  2. DPV before activation and also DPV before introducing the analyte to the system 
  3. The repeatability using CV for three electrodes
  4. Recovery study (accuracy)
  5. Interference study (selectivity)

 

Dataset file

Nimesulide.xlsx
112.5 kB, S3 ETag 63a405e41b658801ea7003f0d7494679-1, downloads: 0
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File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2025
Verification date:
2025-05-05
Dataset language:
English
Fields of science:
  • materials engineering (Engineering and Technology)
DOI:
DOI ID 10.34808/hb5g-bk59 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

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