An ultra-sensitive smartphone-integrated digital colorimetric and electrochemical Camellia sinensis polyphenols encapsulated CuO nanoparticles-based ammonia biosensor
dc.authorid | KARAKUS, SELCAN/0000-0002-8368-4609 | en_US |
dc.authorid | Taşaltın, Nevin/0000-0001-6788-1605 | en_US |
dc.authorid | OZEROGLU, Cemal/0000-0003-1702-1265 | en_US |
dc.contributor.author | Karakuş, Selcan | |
dc.contributor.author | Baytemir, Guelsen | |
dc.contributor.author | Özeroğlu, Cemal | |
dc.contributor.author | Taşaltın, Nevin | |
dc.date.accessioned | 2024-07-12T21:37:41Z | |
dc.date.available | 2024-07-12T21:37:41Z | |
dc.date.issued | 2022 | en_US |
dc.department | [Belirlenecek] | en_US |
dc.description.abstract | With advancement trends in recent studies, it has drawn considerable attention towards the development of smartphone-integrated colorimetric biosensors with a high performance, stability, and selectivity for specific detection of analytes in food safety. Herein, camellia sinensis polyphenols encapsulated CuO nanoparticles (PPS-CuO NPs) based biosensors were developed as an ultra-sensitive smartphone-integrated digital colorimetric ammonia indicator for monitoring of food spoilage. The PPS-CuO NPs were characterized using different tech-niques such as SEM, HRTEM, FTIR, and XRD techniques. The colorimetric and electrochemical PPS-CuO NPs -based biosensor showed a high selectivity of ammonia with a high coefficient of correlation (R-2 = 0.960), a wide concentration range of 12.5-100 mu M, and a low limit of detection (LOD) of 40.6 nM. The developed smartphone-integrated colorimetric system exhibited high chemical selectivity for ammonia. Consequently, the sensing performance of PPS-CuO NPs based biosensors showed that it is a promising material for the determination of ammonia for food safety. | en_US |
dc.identifier.doi | 10.1016/j.inoche.2022.109733 | |
dc.identifier.issn | 1387-7003 | |
dc.identifier.issn | 1879-0259 | |
dc.identifier.scopus | 2-s2.0-85133673623 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.inoche.2022.109733 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12415/6869 | |
dc.identifier.volume | 143 | en_US |
dc.identifier.wos | WOS:000830496200005 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Inorganic Chemistry Communications | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | KY04211 | |
dc.subject | Electrochemical Biosensor | en_US |
dc.subject | Cuo Nanoparticle | en_US |
dc.subject | Smartphone Sensor | en_US |
dc.subject | Ammonia Detection | en_US |
dc.subject | Food Spoilage | en_US |
dc.title | An ultra-sensitive smartphone-integrated digital colorimetric and electrochemical Camellia sinensis polyphenols encapsulated CuO nanoparticles-based ammonia biosensor | en_US |
dc.type | Article | |
dspace.entity.type | Publication |