Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:33:33am America, Santiago
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Daily Overview |
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24F: Agriculture & Food Virtual location: VIRTUAL: Agora Meetings | |
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2:32pm - 2:40pm
Emerging technologies in biosensors for pesticide monitoring in agri-food systems: systematic review and quantitative analysis of detection limits 1: Departamento de Ingenieria. Sección de Ingenieria Industrial. Pontificia Universidad Católica del Perú - (PE), Perú; 2: Environmental Engineering, San Ignacio de Loyola University, La Molina 15024, Lima, Peru The intensive use of pesticides in modern agriculture has increased concerns about food safety and environmental contamination, driving the development of rapid and portable analytical tools. Although conventional chromatographic techniques offer high accuracy, their application in the field is limited. In this context, biosensors have emerged as promising alternatives for in situ pesticide residue monitoring. This paper presents a systematic review of 49 studies published between 2020 and 2026, selected using the PRISMA methodology. Platforms based on enzyme inhibition, nanozymes, molecularly imprinted polymers (MIPs), aptasensors and immunosensors, whole-cell systems, and portable point-of-care devices were analyzed. A quantitative analysis of the limit of detection (LOD) was performed using the geometric mean due to the log-normal distribution of the data. The results show that MIPs exhibit the highest average sensitivity (10⁻¹⁰ M), followed by enzymatic biosensors and aptasensors (10⁻⁸ M), while nanozymes and portable platforms reach 10⁻⁷ M and whole-cell systems 10⁻⁶ M. These findings demonstrate a transition toward hybrid, sensitive, and digitally integrated biosensors geared toward real-world agricultural applications. | |