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DOI 10.1007/s00216-023-04827-z

Медицинская библиотека · Analytical and bioanalytical chemistry · 2023

Development of cysteine-doped MnO2 quantum dots for spectrofluorimetric estimation of copper: applications in different matrices.

Salman Baher I, Hassan Ahmed I, Saraya Roshdy E, Ibrahim Adel Ehab, Mohammed Bassam Shaaban, Batakoushy Hany A, El Deeb Sami, Hassan Yasser F

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Аннотация

Copper (Cu) plays a role in maintaining healthy nerve cells and the immune system. Osteoporosis is a high-risk factor for Cu deficiency. In the proposed research, unique green, fluorescent cysteine-doped MnO2 quantum dots (Cys@MnO2 QDs) were synthesized and assessed for the determination of Cu in different food and hair samples. The developed quantum dots were synthesized with the help of cysteine using a straightforward ultrasonic approach to create 3D fluorescent Cys@MnO2 QDs. The resulting QDs' morphological and optical characteristics were carefully characterized. By adding Cu ions, the intensity of fluorescence for the produced Cys@MnO2 QDs was found to be dramatically reduced. Additionally, the applicability of Cys@MnO2 QDs as a new luminous nanoprobe was found to be strengthened by the quenching effect grounded on the Cu-S bonding. The concentrations of Cu2+ ions were estimated within the range of 0.06 to 7.00 µg mL-1, with limit of quantitation equal to 33.33 ng mL-1 and detection limit equal to 10.97 ng mL-1. The Cys@MnO2 QD technique was applied successfully for the quantification of Cu in a variety of foods, including chicken meat, turkey, and tinned fish, as well as in human hair samples. The chance that this novel technique could be a useful tool for figuring out the amount of cysteine in bio-samples is increased by the sensing system's remarkable advantages, which include being rapid, simple, and economical.

Для цитирования: Salman Baher I, Hassan Ahmed I, Saraya Roshdy E, Ibrahim Adel Ehab, Mohammed Bassam Shaaban, Batakoushy Hany A, El Deeb Sami, Hassan Yasser F. Development of cysteine-doped MnO2 quantum dots for spectrofluorimetric estimation of copper: applications in different matrices.. Analytical and bioanalytical chemistry. 2023. DOI: 10.1007/s00216-023-04827-z.

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