Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples

111649

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Hiển thị chi tiết
Tác giả chính: Nguyen, Tuan Anh, Ngo, Xuan Dinh, Hoang, Van Tuan, Mai, Quan Doan, Nguyen, Ha Anh, Nguyen, Tien Khi, Vu, Thi Trang | Doan, Quang Tri, Lê, Tuan Anh
Định dạng: Bài báo khoa học
Ngôn ngữ:English
Thông tin xuất bản: Elsevier 2022
Chủ đề:
Truy cập trực tuyến:https://dlib.phenikaa-uni.edu.vn/handle/PNK/4019
https://doi.org/10.1016/j.materresbull.2021.111649
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spelling oai:localhost:PNK-40192022-08-17T05:54:49Z Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples Nguyen, Tuan Anh Ngo, Xuan Dinh Hoang, Van Tuan Mai, Quan Doan Nguyen, Ha Anh Nguyen, Tien Khi Vu, Thi Trang | Doan, Quang Tri Lê, Tuan Anh Nanomaterials Antibiotic 111649 In this study, we have developed, for the first time, a colorimetric and surface-enhanced Raman scattering (SERS) dual-mode sensing platform for sensitive amoxicillin (AMX) detection by employing electrochemically-synthesized copper nanoparticles (CuNPs) and copper-graphene oxide (Cu-GO) nanocomposites with low cost and high purity. The obtained results revealed that Cu-GO-based colorimetric nanosensor exhibited high sensitivity with AMX antibiotics in a linear working range from 5 to 50 µM with a limit of detection (LOD) of 1.71 µM, which was 1.3 times lower than that of CuNPs-based colorimetric nanosensor (2.17 µM). More interestingly, Cu-GO-based SERS nanosensor has a linear range from 0.01 to 1000 µM and a LOD value ∼x223C 0.0012 µM, which was ∼x223C 13 times lower than CuNPs-based SERS sensor (0.0152 µM). Our developed dual-mode optical nanosensors also exhibited good practical applicability for AMX detection in real tap-water samples with high accuracy as recovery rates were calculated about 95% and RSDs were less than 5%. 2022-01-17T02:27:20Z 2022-01-17T02:27:20Z 2021 Bài báo khoa học https://dlib.phenikaa-uni.edu.vn/handle/PNK/4019 https://doi.org/10.1016/j.materresbull.2021.111649 en Elsevier
institution Trường Đại học Phenikaa
collection DSpace
language English
topic Nanomaterials
Antibiotic
spellingShingle Nanomaterials
Antibiotic
Nguyen, Tuan Anh
Ngo, Xuan Dinh
Hoang, Van Tuan
Mai, Quan Doan
Nguyen, Ha Anh
Nguyen, Tien Khi
Vu, Thi Trang | Doan, Quang Tri
Lê, Tuan Anh
Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples
description 111649
format Bài báo khoa học
author Nguyen, Tuan Anh
Ngo, Xuan Dinh
Hoang, Van Tuan
Mai, Quan Doan
Nguyen, Ha Anh
Nguyen, Tien Khi
Vu, Thi Trang | Doan, Quang Tri
Lê, Tuan Anh
author_facet Nguyen, Tuan Anh
Ngo, Xuan Dinh
Hoang, Van Tuan
Mai, Quan Doan
Nguyen, Ha Anh
Nguyen, Tien Khi
Vu, Thi Trang | Doan, Quang Tri
Lê, Tuan Anh
author_sort Nguyen, Tuan Anh
title Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples
title_short Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples
title_full Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples
title_fullStr Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples
title_full_unstemmed Eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples
title_sort eco-friendly copper nanomaterials-based dual-mode optical nanosensors for ultrasensitive trace determination of amoxicillin antibiotics residue in tap water samples
publisher Elsevier
publishDate 2022
url https://dlib.phenikaa-uni.edu.vn/handle/PNK/4019
https://doi.org/10.1016/j.materresbull.2021.111649
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