Nanoarchitectonic E-Tongue of Electrospun Zein/Curcumin Carbon Dots for Detecting Staphylococcus aureusin Milk

Autor(es):Mostrar menos -

Soares, Andrey Coatrini ; Soares, Juliana Coatrini ; dos Santos, Danilo Martins ; Migliorini, Fernanda L. ; Popolin-Neto, Mario ; Pinto, Danielle dos Santos Cinelli ; Carvalho, Wanessa Araujo ; Brandao, Humberto Mello ; Paulovich, Fernando Vieira ; Correa, Daniel Souza ; Oliveira Jr, Osvaldo N. ; Mattoso, Luiz Henrique Capparelli

• Tipo de documento: Artigo Científico
• Fonte: ACS OMEGA; v. 8, n. 15, p. 12-pg., 2023-04-04.

Resumo

We report a nanoarchitectonic electronic tongue made with flexible electrodes coated with curcumin carbon dots and zein electrospun nanofibers, which could detect Staphylococcus aureus(S. aureus) in mil k using electrical impedance spectroscopy. Electronic tongues are based on the global select i v i t y concept in which the electrical responses of distinct sensing units are combined to provide a unique pattern , which in this case allowed the detection of S. aureus through non-specific interactions. The electronic tongue used here comprised 3 sensors w i t h electrodes coated with zein nanofibers, carbon dots, and carbon dots with zein nanofibers. The capacitance data obtained with the three sensors were processed with a multidimensional projection technique referred to as interactive document mapping (IDMAP) and analyzed using the machine learning-based concept of multidimensional calibration space (MCS). The concentration of S. aureus could be determined with the sensing units, especially with the one containing zein as the l i m i t of detection was 0.83 CFU/mL (CFU stands for colony-forming unit). This high sensit i v i t y is attributed to molecular-level interactions between the protein zein and C-H groups in S. aureus according to polarization-modulated infrared reflection-absorption spectroscopy (PM-IRRAS) data. Using machine learning and IDMAP, we demonstrated the select i v i t y of the electronic tongue in distinguishing mil k samples from mastitis-infected cows from mil k collected from healthy cows, and from mil k spiked with possible interferents. Calibration of the electronic tongue can also be reached with the MCS concept employing decision tree algorithms, with an 80.1% accuracy in the diagnosis of mastitis. The low-cost electronic tongue presented here may be exploited in diagnosing mastitis at early stages, with tests performed in the farms without requiring specialized laboratories or personnel. (AU)

• Processo FAPESP: 17/20973-4 - Nanofibras eletrofiadas coaxiais à base de quitosana para a liberação controlada de antibióticos e aplicações no tratamento de lesões periodontais
• Beneficiário: Danilo Martins dos Santos
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 18/22214-6 - Rumo à convergência de tecnologias: de sensores e biossensores à visualização de informação e aprendizado de máquina para análise de dados em diagnóstico clínico
• Beneficiário: Osvaldo Novais de Oliveira Junior
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/18953-8 - Filmes nanoestruturados aplicados em biossensores microfluídicos para detecção de mastite bacteriana
• Beneficiário: Andrey Coatrini Soares
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 17/21791-7 - Desenvolvimento de biossensores eletroquímicos e colorimétricos para a detecção de micotoxinas
• Beneficiário: Fernanda Lanzoni Migliorini
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado