Publication2025
Ultrasensitive detection of arsenic in water using laser-scribed graphene-based electrodes
The record
- Type
- Publication
- Date
- 14 May 2025
- Level
- National
- Journal
- Journal of Materials Chemistry B
- Volume
- 13
- Issue
- 25
- Pages
- 7393-7400
- Published
- 14 May 2025
- DOI
- 10.1039/d5tb00041f
- Scopus ID
- 105006475597
- ISSN
- 2050750X
- Authors
- 4
- Open access
- No
- Citations
- 4
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
6 Ensure availability and sustainable management of water and sanitation for all
Ultrasensitive laser-scribed graphene electrode achieves ppb-level arsenic detection in contaminated water from East India, directly supporting water quality monitoring and safety
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Advanced electrochemical sensor design using graphene materials represents research innovation in environmental monitoring technology development
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Cost-effective water contamination detection supports environmental health protection and sustainable water resource management in arsenic-affected regions
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Ultrasensitive detection of arsenic in water using laser-scribed graphene-based electrodes”. Kortex.