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DC Field | Value | Language |
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dc.contributor.author | Choudhary, Sandeep | en_US |
dc.contributor.author | Joshi, Bhavana | en_US |
dc.contributor.author | Joshi, Abhijeet B. | en_US |
dc.date.accessioned | 2022-05-05T15:41:28Z | - |
dc.date.available | 2022-05-05T15:41:28Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Choudhary, S., Joshi, B., & Joshi, A. (2021). Translation of carbon dot biosensors into an embedded optical setup for spoilage and adulteration detection. ACS Food Science and Technology, 1(6), 1068-1076. doi:10.1021/acsfoodscitech.1c00089 | en_US |
dc.identifier.issn | 2692-1944 | - |
dc.identifier.other | EID(2-s2.0-85127204419) | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/9745 | - |
dc.identifier.uri | https://doi.org/10.1021/acsfoodscitech.1c00089 | - |
dc.description.abstract | This research demonstrates a carbon quantum dot (CQD) based fluorescence technique for milk quality assessment and detection of urea adulteration using a commercialized optical fiber spectrometer (OFS) and a developed color sensor device (CSD). The change in pH from the normal pH of milk (∼6.7) indicates spoilage. The CQDs were synthesized using phthalic acid (carbon source) and triethylenediamine (TED) (passivant). The CQDs were found to be sensitive in the pH range 3-10 with a quantum yield of about 18.9%. The accuracy of spoilage detection using CQDs was expressed in the form of mean percent recovery and found to be 99.2% (R2 = 0.97) by the OFS and 99.59% (R2 = 0.98) by the CSD. The mean percent recovery obtained for urea adulteration in milk was 103.0% (R2 = 0.98) by the OFS and 97.9% (R2 = 0.97) by the CSD. The results indicate that CQDs have excellent potential for use as biosensors for spoilage and adulteration detection. © 2021 American Chemical Society | en_US |
dc.language.iso | en | en_US |
dc.publisher | American Chemical Society | en_US |
dc.source | ACS Food Science and Technology | en_US |
dc.title | Translation of Carbon Dot Biosensors into an Embedded Optical Setup for Spoilage and Adulteration Detection | en_US |
dc.type | Journal Article | en_US |
Appears in Collections: | Department of Biosciences and Biomedical Engineering |
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