MONITORING PLANT HEALTH VIA METABOLITE BIOMARKERS USING NANOPARTICLE-FUNCTIONALIZED FIELD-EFFECT TRANSISTOR SENSORS

Tamires dos Santos Pereira; Kelcilene B. R. Teodoro; Douglas Scarabello; Joana V. Pinto; Henrique V. Almeida; Bruno Veigas; Rui Igreja; Luiza Amim Mercante; Elvira Fortunato; Rodrigo Martins; Daniel Souza Correa

Todos os Trabalhos

Trabalho

Título do Trabalho

MONITORING PLANT HEALTH VIA METABOLITE BIOMARKERS USING NANOPARTICLE-FUNCTIONALIZED FIELD-EFFECT TRANSISTOR SENSORS

Autores

Tamires dos Santos Pereira
Kelcilene B. R. Teodoro
Douglas Scarabello
Joana V. Pinto
Henrique V. Almeida
Bruno Veigas
Rui Igreja
Luiza Amim Mercante
Elvira Fortunato
Rodrigo Martins
Daniel Souza Correa

Modalidade

Pôster - resumo

Área temática

Sensores e biossensores

Data de Publicação

27/05/2026

País da Publicação

Brasil

Idioma da Publicação

pt-BR

Página do Trabalho

https://www.even3.com.br/anais/workshop-do-ineo-2026/1462265-monitoring-plant-health-via-metabolite-biomarkers-using-nanoparticle-functionalized-field-effect-transistor-sens

ISBN

978-65-272-2467-9

Palavras-Chave

Impedance sensor; CMISFET; Ascorbic acid; Oxalic acid; Agriculture; Fungal disease

Resumo

Early and accurate detection of plant diseases is essential to minimize crop losses and promote sustainable agricultural practices1. When crops are subjected to these stressors, their cellular defense mechanisms activate immune responses influenced by metabolic changes2. This response can alter the basal concentrations of various compounds, including hormones, proteins, enzymes, and amino acids3. However, conventional analytical methods for monitoring these metabolites are usually labor-intensive, laboratory-based, and unsuitable for rapid or in-field diagnosis. In this context, ascorbic acid (AA) and oxalic acid (AO) are two relevant metabolites to be monitored, as they are associated with some fungal infections in plants. In this study, an ion-sensitive field-effect transistor (CMISFET) sensor functionalized with silver nanoparticles (AgNPs), gold nanoparticles (AuNPs), and manganese dioxide nanoparticles (MnO2NPs) was developed for the electrochemical detection of AA and AO using electrical impedance spectroscopy. Among the modified devices, the CMISFET-AgNP sensor exhibited the highest sensitivity and the lowest charge transfer resistance, achieving limits of detection of 0.16 µM and 0.10 µM for AA and AO, respectively. Interference assays confirmed the high selectivity for both metabolites. Micro-Tom tomato plants, which are traditionally used as a model system for fungal infection due to their ability to mimic metabolic changes of plant, were employed to validate sensor performance in real sensors. Measurements performed in Micro-Tom tomato sap showed recovery rates above 85% for both analytes, demonstrating the applicability of the CMISFET-AgNP platform for detecting plant metabolites in complex biological matrices. Electrochemical and spectroscopic analyses led to a proposed detection mechanism that relies on interactions between nanoparticles and analytes, as well as surface charge modulation. The proposed CMISFET-AgNP sensor represents a robust platform for the early detection of plant metabolic biomarkers associated with disease and offers promising perspectives for the development of portable sensing strategies in precision agriculture. Acknowledgments: The authors acknowledge the financial support from FAPESP (2020/10048–4, 2023/16193-4, 2023/13428-0, 2024/06740-0, 2025/11737-1), the National Council for Scientific and Technological Development (CNPq 120289/2025-3), MCTI-SisNano (CNPq 402287/2013-4), the Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES), INEO (FAPESP 2025/27044-5 and CNPq 408449/2024-1). References (1) Wu, S.; Li, Y.; Wang, Q.; Cai, Y.; Teng, P.; Li, W.; Zhang, F.; Xu, L.-P.; Wang, S. Wearable Plant Sensing Devices for Health Monitoring. Wearable Electronics 2025, 2, 100–115. https://doi.org/10.1016/J.WEES.2025.03.002. (2) Lu, J.; Xia, S. Metabolomics and Plant Defense. Metabolites 2025, Vol. 15, Page 171 2025, 15 (3), 171. https://doi.org/10.3390/METABO15030171. (3) S. Ramírez-Gómez, X.; N. Jiménez-García, S.; Beltrán Campos, V.; Lourdes García Campos, Ma. Plant Metabolites in Plant Defense Against Pathogens. In Plant Diseases - Current Threats and Management Trends; IntechOpen, 2020. https://doi.org/10.5772/intechopen.87958.

Título do Evento: Workshop do INEO 2026
Cidade do Evento: Nazaré Paulista
Título dos Anais do Evento: Anais do Workshop do INEO 2026
Nome da Editora: Even3
Meio de Divulgação: Meio Digital

Como citar

PEREIRA, Tamires dos Santos et al.. MONITORING PLANT HEALTH VIA METABOLITE BIOMARKERS USING NANOPARTICLE-FUNCTIONALIZED FIELD-EFFECT TRANSISTOR SENSORS.. In: Anais do Workshop do INEO 2026. Anais...Nazaré Paulista(SP) Hotel Estância Atibainha, 2026. Disponível em: https//www.even3.com.br/anais/workshop-do-ineo-2026/1462265-MONITORING-PLANT-HEALTH-VIA-METABOLITE-BIOMARKERS-USING-NANOPARTICLE-FUNCTIONALIZED-FIELD-EFFECT-TRANSISTOR-SENS. Acesso em: 10/08/2026