Detection and measurement of surface contamination by multiple antineoplastic drugs using multiplex bead assay
Supporting Files
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October 06 2014
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File Language:
English
Details
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Alternative Title:J Oncol Pharm Pract
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Personal Author:
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Description:Objectives
Contamination of workplace surfaces by antineoplastic drugs presents an exposure risk for healthcare workers. Traditional instrumental methods to detect contamination such as liquid chromatography-tandem mass spectrometry (LC-MS/MS) are sensitive and accurate but expensive. Since immunochemical methods may be cheaper and faster than instrumental methods, we wanted to explore their use for routine drug residue detection for preventing worker exposure.
Methods
In this study we examined the feasibility of using fluorescence covalent microbead immunosorbent assay (FCMIA) for simultaneous detection and semi-quantitative measurement of three antineoplastic drugs (5-fluorouracil, paclitaxel, and doxorubicin). The concentration ranges for the assay were 0–1000 ng/ml for 5-fluorouracil, 0–100 ng/ml for paclitaxel, and 0–2 ng/ml for doxorubicin. The surface sampling technique involved wiping a loaded surface with a swab wetted with wash buffer, extracting the swab in storage/blocking buffer, and measuring drugs in the extract using FCMIA.
Results
There was no significant cross reactivity between these drugs at the ranges studied indicated by a lack of response in the assay to cross analytes. The limit of detection (LOD) for 5-fluorouracil on the surface studied was 0.93 ng/cm2 with a limit of quantitation (LOQ) of 2.8 ng/cm2, the LOD for paclitaxel was 0.57 ng/cm2 with an LOQ of 2.06 ng/cm2, and the LOD for doxorubicin was 0.0036 ng/cm2 with an LOQ of 0.013 ng/cm2.
Conclusion
The use of FCMIA with a simple sampling technique has potential for low cost simultaneous detection and semi-quantitative measurement of surface contamination from multiple antineoplastic drugs.
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Subjects:
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Source:J Oncol Pharm Pract. 22(1):60-67
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Pubmed ID:25293722
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Pubmed Central ID:PMC4567514
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Document Type:
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Funding:
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Volume:22
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Issue:1
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Collection(s):
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Main Document Checksum:urn:sha256:c94f65ec96809ff6777634182b6fd4917e2913cdb409f32077010424e4fd5067
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Download URL:
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File Type:
Supporting Files
File Language:
English
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