Evidence map›Paper›PMID 39468049›Full record

ArticleNature communications2024

Chromatic covalent organic frameworks enabling in-vivo chemical tomography.

Song Wang, Yangyang Han, Vaishnavi Amarr Reddy, Mervin Chun-Yi Ang, Gabriel Sánchez-Velázquez, Jolly Madathiparambil Saju, Yunteng Cao, Duc Thinh Khong, Praveen Kumar Jayapal, Raju Cheerlavancha and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Song Wang *Disruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.ORCID 0000-0002-6524-9881
Yangyang Han *Disruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.
Vaishnavi Amarr ReddyTemasek Life Sciences Laboratory Limited, Singapore, 117604, Singapore.
Mervin Chun-Yi AngDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.ORCID 0000-0002-4420-9637
Gabriel Sánchez-VelázquezDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Jolly Madathiparambil SajuTemasek Life Sciences Laboratory Limited, Singapore, 117604, Singapore.
Yunteng CaoDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-6425-7628
Duc Thinh KhongDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.
Praveen Kumar JayapalDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.
Raju CheerlavanchaDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.
Suh In LohDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.
Gajendra Pratap SinghDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore.
Daisuke UranoTemasek Life Sciences Laboratory Limited, Singapore, 117604, Singapore.ORCID 0000-0003-4541-1076
Sarojam RajaniTemasek Life Sciences Laboratory Limited, Singapore, 117604, Singapore.ORCID 0000-0002-7207-2295
Benedetto MarelliDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore. bmarelli@mit.edu.ORCID 0000-0001-5311-6961
Michael S StranoDisruptive & Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology Centre, Singapore, 138602, Singapore. strano@mit.edu.ORCID 0000-0003-2944-808X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

FibroinsAnimalsHydrogen-Ion ConcentrationImaging, Three-DimensionalMetal-Organic FrameworksNicotianaSchiff BasesSolanum lycopersicumTomographyFibroinsMetal-Organic FrameworksSchiff Bases

Identifiers

PMID39468049
PMCPMC11519549

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.