dc.contributor.author | KARAKUŞ, SELCAN | |
dc.contributor.author | Tasaltin, Nevin | |
dc.contributor.author | Baytemir, Gulsen | |
dc.date.accessioned | 2022-07-04T13:21:15Z | |
dc.date.available | 2022-07-04T13:21:15Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | KARAKUŞ S., Baytemir G., Tasaltin N., "Digital colorimetric and non-enzymatic biosensor with nanoarchitectonics of Lepidium meyenii-silver nanoparticles and cotton fabric: real-time monitoring of milk freshness", APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, cilt.128, sa.5, 2022 | |
dc.identifier.issn | 0947-8396 | |
dc.identifier.other | av_44e91be6-c9a0-456c-a88b-6e0b575874e1 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/182535 | |
dc.identifier.uri | https://doi.org/10.1007/s00339-022-05529-6 | |
dc.description.abstract | With advances in nanotechnology research, there is a growing interest in fabricating sensitive digital colorimetric biosensors with their excellent performance and selectivity for the detection of target analytes in sensor applications. Herein, a novel Lepidium meyenii polyphenol extract (PPE)/silver nanoparticles (Ag NPs) coated cotton fabric as a biosensor was developed as a sensitive smartphone-integrated colorimetric and non-enzymatic biosensor for real-time monitoring of milk freshness. The PPE-Ag NPs were characterized using different techniques such as SEM, HRTEM, FTIR, and AFM techniques. Furthermore, HRTEM images of the prepared PPE-Ag NPs were powered using an artificial intelligence (AI) approach. The novel digital colorimetric PPE-Ag NPs coated cotton fabric biosensor exhibited an ultra-sensitive detection for H2O2 with a high coefficient correlation (R-2 = 0.987) and low limit of detection (LOD) of 3.84 mu M in a wide concentration range of 0.5-5000 mu M in the presence of interfering biomolecules such as ascorbic acid, urea, glucose, and lactose. The electrochemical response of the biosensor was proportional to the H2O2 concentration in a range of 40-800 mu M with a low LOD of 33.52 nM. Consequently, the experimental results showed that it is a promising biosensor for the determination of H2O2 in intelligent food applications. | |
dc.language.iso | eng | |
dc.subject | Metals and Alloys | |
dc.subject | Materials Chemistry | |
dc.subject | Statistical and Nonlinear Physics | |
dc.subject | General Materials Science | |
dc.subject | Physical Sciences | |
dc.subject | Temel Bilimler | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Temel Bilimler (SCI) | |
dc.subject | Fizik | |
dc.subject | FİZİK, UYGULAMALI | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Malzeme Bilimi | |
dc.subject | MALZEME BİLİMİ, MULTIDISCIPLINARY | |
dc.title | Digital colorimetric and non-enzymatic biosensor with nanoarchitectonics of Lepidium meyenii-silver nanoparticles and cotton fabric: real-time monitoring of milk freshness | |
dc.type | Makale | |
dc.relation.journal | APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING | |
dc.contributor.department | İstanbul Üniversitesi-Cerrahpaşa , Mühendislik Fakültesi , Kimya Bölümü | |
dc.identifier.volume | 128 | |
dc.identifier.issue | 5 | |
dc.contributor.firstauthorID | 3415917 | |