Ultrasensitive Biopolymer−MOF Composite-Based Pressure Sensor for Data-Driven Precision Agriculture
Source abstract
Abstract
Plants continuously experience subtle mechanical stimuli from growth, fruit loading, and environmental stress, yet decoding these biomechanical signals remains difficult due to the lack of soft, biocompatible, and sensitive sensing materials. Herein, we report a chitosan−metal-organic framework (CS−MOF) composite as an ultrasensitive capacitive pressure sensor for precision agriculture. Incorporating MOF within a chitosan matrix creates a network with enhanced dielectric modulation and tunable compressibility, collectively improving mechanocapacitive transduction. The CS−MOF composite exhibits high pressure sensitivity (4.58 kPa −1, 0−5 kPa), rapid response/recovery times (200 ± 5/220 ± 3 ms), and excellent durability over 2000 cycles. Integrated onto tomato plants ( Solanum lycopersicum ), the sensor enables noninvasive monitoring of fruit growth and branch deformation via wireless IoT coupling, showing a strong correlation between capacitance changes and fruit mass accumulation ( R 2 = 0.95, p < 0.001). This work highlights biopolymer−MOF hybrids as promising platforms for sustainable, data-driven agriculture.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Analytical Chemistry and Sensors · Advanced Fiber Optic Sensors · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Horticulture, Faculty of Agriculture
Recep Tayyip Erdogan University
Department of Plant Resources and Environment
Jeju National University
Department of Semiconductor Engineering
Gachon University
Department of Fashion and Textiles
University of Southampton
Interdisciplinary Program in Smart Agriculture
Kangwon National University
College of Electronics and Information Engineering
Shenzhen University
Funding
KAIST-UC Berkeley-VNU Climate Change Research Center
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