The world's first covalent organic framework sensors can detect pH changes in living plants, which can provide early warning of drought stress in plants up to 48 hours before traditional methods.
Have you ever wondered if your plants were dry and dehydrated, or if you're not watering them enough? Farmers and green-fingered enthusiasts alike may soon have a way to find this out in real-time. Over the past decade, researchers have been working on sensors to detect a wide range of chemical compounds, and a critical bottleneck has been developing sensors that can be used within living biological systems. This is all set to change with new sensors by the Singapore-MIT Alliance for Research and Technology (SMART) that can detect pH changes in living plants — an indicator of drought stress in plants — and enable the timely detection and management of drought stress before it leads to irreversible yield loss. Researchers from the Disruptive and Sustainable Technologies for Agricultural Precision (DiSTAP) interdisciplinary research group of SMART, MIT's research enterprise in Singapore, in collaboration with Temasek Life Sciences Laboratory and MIT, have pioneered the world's first covalent organic framework (COF) sensors integrated within silk fibroin (SF) microneedles for in-planta detection of physiological pH changes. This advanced technology can detect a reduction in acidity in plant xylem tissues, providing early warning of drought stress in plants up to 48 hours before traditional methods. Drought — or a lack of water — is a significant stressor that leads to lower yield by affecting key plant metabolic pathways, reducing leaf size, stem extension, and root proliferation. If prolonged, it can eventually cause plants to become discolored, wilt, and die. As agricultural challenges — including those posed by climate change, rising costs, and lack of land space — continue to escalate and adversely affect crop production and yield, farmers are often unable to implement proactive measures or pre-symptomatic diagnosis for early and timely intervention. This underscores the need for improved sensor integration that can facilitate in-vivo assessments and timely…