# Ultrasensitive Visual Tracking of Toxic Cyanide Ions in Biological Samples Using Biocompatible Metal–Organic Frameworks Architectures

https://mdr.nims.go.jp/datasets/867294d6-8046-4439-8025-cd6138c76c93

## File

- [Ultrasensitive Visual Tracking of Toxic Cyanide Ions in Biological Samples Using Biocompatible Metal–organic Frameworks Architectures.pdf](https://mdr.nims.go.jp/filesets/449bfc00-980c-41a7-a4db-b6fedb9c6b77/download) ([Detail](https://mdr.nims.go.jp/filesets/449bfc00-980c-41a7-a4db-b6fedb9c6b77.md))

## Id

867294d6-8046-4439-8025-cd6138c76c93

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-01-16T03:48:07.094791Z

## Updated at

2025-12-19T12:00:42.589540Z

## Published at

2025-12-19T12:00:32.761771Z

## Doi

https://doi.org/10.48505/nims.5015

## First published url

https://doi.org/10.1016/j.jhazmat.2023.133271

## Date published

2023-12-16

## Recorded date published

2024-3

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Ultrasensitive Visual Tracking of Toxic Cyanide Ions in Biological Samples
    Using Biocompatible Metal–Organic Frameworks Architectures
  title_type: original
  lang: en

## Description

- description: The extraordinary accumulation of cyanide ions within biological cells
    is a severe health risk. Detecting and tracking toxic cyanide ions within these
    cells by simple and ultrasensitive methods are of immense curiosity. Here we report
    continuous tracking of ultimate levels of CN-ions in HeLa cells using biocompatible
    branching molecular architectures (BMAs). Batch-contact methods were used to assess
    the potential of hollow-nest architecture for inhibition/evaluation of toxicant
    CN-ions in HeLa cells. The nanorod BMAs revealed significant potential capabilities
    for monitoring and tracking of CN-ions in biological trials within seconds. These
    results provide sufficient evidence of the compatibility of BMAs during HeLa cell
    exposure. Under certain conditions, the BMAs were used for in-vitro fluorescence
    tracking/sensing of CN-in HeLa cells. The cliff swallow nest may have the potential
    to reduce the health hazards associated with toxicant exposure in biological cells.
  description_type: abstract
  lang: eng

## Creator

- name: Islam M. El-Sewify
  role: author
- name: Mohamed A. Shenashen
  role: author
  orcid: https://orcid.org/0000-0003-1592-5877
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Rasha F. El-Agamy
  role: author
- name: Mohammed S. Selim
  role: author
- name: Norah F. Alqahtani
  role: author
- name: Ahmed Elmarakbi
  role: author
- name: Mitsuhiro Ebara
  role: author
  orcid: https://orcid.org/0000-0002-7906-0350
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Mahmoud M. Selim
  role: author
- name: Mostafa M.H. Khalil
  role: author
- name: Sherif A. El-Safty
  role: author
  orcid: https://orcid.org/0000-0001-5992-9744
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: Visual Monitoring
  schema: not_defined
- subject: Cyanide
  schema: not_defined
- subject: HeLa cells
  schema: not_defined
- subject: In-vitro
  schema: not_defined
- subject: Biocompatible
  schema: not_defined
- subject: Al-MOF
  schema: not_defined
- subject: Nanorods
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc-nd/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2023-12-16
end_date: 2025-12-16

## Journal

- title: Journal of Hazardous Materials
  issn: '03043894'
  volume: '465'
  article_number: '133271'

## Conference



## Related item



## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 449bfc00-980c-41a7-a4db-b6fedb9c6b77
  filename: Ultrasensitive Visual Tracking of Toxic Cyanide Ions in Biological Samples
    Using Biocompatible Metal–organic Frameworks Architectures.pdf
  content_type: application/pdf
  size: 2593229
  md5: 7ea12152ea38c59c5c966a6b7e69c4ce

## Thumbnail

fileset_id: 449bfc00-980c-41a7-a4db-b6fedb9c6b77
filename: Ultrasensitive Visual Tracking of Toxic Cyanide Ions in Biological Samples
  Using Biocompatible Metal–organic Frameworks Architectures.pdf