@article{
 title = {Quantifying cyanide in water and foodstuff using corrin-based CyanoKit technologies and a smartphone},
 type = {article},
 year = {2019},
 pages = {130-136},
 volume = {144},
 websites = {http://www.ncbi.nlm.nih.gov/pubmed/30460362,http://xlink.rsc.org/?DOI=C8AN01059E},
 id = {022a8f5c-1a78-340b-a3aa-8a993a5a4783},
 created = {2018-11-29T21:29:10.586Z},
 file_attached = {true},
 profile_id = {6d353feb-efe4-367e-84a2-0815eb9ca878},
 last_modified = {2022-09-04T18:12:16.224Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Cherbuin2018},
 notes = {IF-2018: 4.02},
 folder_uuids = {f1f67efc-95a7-4f1a-b181-c3670c667a34,9aa961a4-04a6-4a65-b081-d534c7a81a35,0801d9e0-d1ec-46e2-803d-c74946b43a02},
 private_publication = {false},
 abstract = {This paper describes the detection of endogenous cyanide using corrin-based CyanoKit technologies in combination with a smartphone readout device.},
 bibtype = {article},
 author = {Cherbuin, Mathias and Zelder, Felix and Karlen, Walter},
 doi = {10.1039/C8AN01059E},
 journal = {The Analyst},
 number = {1}
}

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