Ultrasensitive Biopolymer−MOF Composite-Based Pressure Sensor for Data-Driven Precision Agriculture

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.

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Publication Details

Journal
ACS Materials Letters
Published
2026-06-16
DOI
https://doi.org/10.1021/acsmaterialslett.6c00076
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
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article

Ultrasensitive Biopolymer−MOF Composite-Based Pressure Sensor for Data-Driven Precision Agriculture

Zahir Abbas, Ho Min Kang, Waseem Akram, Sheikh Mansoor et al.
ACS Materials Letters
Analytical Chemistry and Sensors
article

Ultrasensitive Biopolymer−MOF Composite-Based Pressure Sensor for Data-Driven Precision Agriculture

Zahir Abbas, Ho Min Kang, Waseem Akram, Sheikh Mansoor, Shahzad Iqbal, Yong Suk Chung
article en

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.

ACS Materials Letters
Gachon University (KR), Recep Tayyip Erdoğan University (TR), Kangwon National University (KR), Shenzhen University (CN), Department of Environment and Natural Resources (PH), SMART Reading (US), University of Southampton (GB), Jeju National University (KR)
Zero hunger
Openalex Percentile: Top 11%
Analytical Chemistry and Sensors
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