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Chromatic covalent organic frameworks enabling in-vivo chemical tomography

Author(s)
Wang, Song; Han, Yangyang; Reddy, Vaishnavi Amarr; Ang, Mervin Chun-Yi; Sánchez-Velázquez, Gabriel; Saju, Jolly Madathiparambil; Cao, Yunteng; Khong, Duc Thinh; Jayapal, Praveen Kumar; Cheerlavancha, Raju; Loh, Suh In; Singh, Gajendra Pratap; Urano, Daisuke; Rajani, Sarojam; Marelli, Benedetto; Strano, Michael S; ... Show more Show less
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Abstract
Covalent organic frameworks designed as chromatic sensors offer opportunities to probe biological interfaces, particularly when combined with biocompatible matrices. Particularly compelling is the prospect of chemical tomography – or the 3D spatial mapping of chemical detail within the complex environment of living systems. Herein, we demonstrate a chromic Covalent Organic Framework (COF) integrated within silk fibroin (SF) microneedles that probe plant vasculature, sense the alkalization of vascular fluid as a biomarker for drought stress, and provide a 3D in-vivo mapping of chemical gradients using smartphone technology. A series of Schiff base COFs with tunable pKa ranging from 5.6 to 7.6 enable conical, optically transparent SF microneedles with COF coatings of 120 to 950 nm to probe vascular fluid and the surrounding tissues of tobacco and tomato plants. The conical design allows for 3D mapping of the chemical environment (such as pH) at standoff distances from the plant, enabling in-vivo chemical tomography. Chromatic COF sensors of this type will enable multidimensional chemical mapping of previously inaccessible and complex environments.
Date issued
2024-10-28
URI
https://hdl.handle.net/1721.1/164626
Department
Singapore-MIT Alliance in Research and Technology (SMART); Massachusetts Institute of Technology. Department of Chemical Engineering; Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Wang, S., Han, Y., Reddy, V.A. et al. Chromatic covalent organic frameworks enabling in-vivo chemical tomography. Nat Commun 15, 9300 (2024).
Version: Final published version

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