dc.contributor.author | Lu, Peter J. | |
dc.contributor.author | Sims, Peter A. | |
dc.contributor.author | Slocum, Alexander H. | |
dc.contributor.author | Hoehl, Melanie Margarete | |
dc.date.accessioned | 2013-09-23T15:46:53Z | |
dc.date.available | 2013-09-23T15:46:53Z | |
dc.date.issued | 2012-05 | |
dc.date.submitted | 2012-05 | |
dc.identifier.issn | 0021-8561 | |
dc.identifier.issn | 1520-5118 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/80863 | |
dc.description.abstract | Real-time on-site monitoring of analytes is currently in high demand for food contamination, water, medicines, and ingestible household products that were never tested appropriately. Here we introduce chemical methods for the rapid quantification of a wide range of chemical and microbial contaminations using a simple instrument. Within the testing procedure, we used a multichannel, multisample, UV–vis spectrophotometer/fluorometer that employs two frequencies of light simultaneously to interrogate the sample. We present new enzyme- and dye-based methods to detect (di)ethylene glycol in consumables above 0.1 wt % without interference and alcohols above 1 ppb. Using DNA intercalating dyes, we can detect a range of pathogens (E. coli, Salmonella, V. Cholera, and a model for Malaria) in water, foods, and blood without background signal. We achieved universal scaling independent of pathogen size above 10[superscript 4] CFU/mL by taking advantage of the simultaneous measurement at multiple wavelengths. We can detect contaminants directly, without separation, purification, concentration, or incubation. Our chemistry is stable to ±1% for >3 weeks without refrigeration, and measurements require <5 min. | en_US |
dc.description.sponsorship | CIMIT: Center for Integration of Medicine and Innovative Technology | en_US |
dc.description.sponsorship | Legatum Center for Development & Entrepreneurship (Massachusetts Institute of Technology) | en_US |
dc.description.sponsorship | MIT Department of Physics Pappalardo Program | en_US |
dc.language.iso | en_US | |
dc.publisher | American Chemical Society (ACS) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1021/jf300817h | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | Melanie Hoehl | en_US |
dc.title | Rapid and Robust Detection Methods for Poison and Microbial Contamination | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Hoehl, Melanie M. et al. “Rapid and Robust Detection Methods for Poison and Microbial Contamination.” Journal of Agricultural and Food Chemistry 60.25 (2012): 6349–6358. | en_US |
dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.mitauthor | Hoehl, Melanie Margarete | en_US |
dc.contributor.mitauthor | Slocum, Alexander H. | en_US |
dc.relation.journal | Journal of Agricultural and Food Chemistry | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Hoehl, Melanie M.; Lu, Peter J.; Sims, Peter A.; Slocum, Alexander H. | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-5048-4109 | |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete | |