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Artificial Intelligence for Academic Text Generation in Analytical Chemistry: Current Risks, Indicators, and
Adrián Fuente-Ballesteros1, Vânia Zuin Zeidler1
1Institute of Sustainable Chemistry, Leuphana University Lüneburg, Lüneburg 21335, Germany.
Analytical Chemistry
|February 16, 2026
Summary
Large language models (LLMs) present new challenges in scientific writing. This study examines AI-generated text in analytical chemistry, proposing guidelines for responsible use to maintain scientific integrity.
Area of Science:
- Analytical Chemistry
- Scientific Writing
- Artificial Intelligence
Background:
- Generative AI models like ChatGPT can produce academic text, raising concerns about authorship and scientific record integrity.
- AI tools have traditionally aided researchers in tasks like grammar checking and data processing.
Purpose of the Study:
- To investigate the use of AI-generated and AI-assisted text in analytical chemistry publications.
- To identify linguistic, structural, and bibliographic patterns indicative of automated drafting.
- To reflect on the risks associated with AI in scientific writing, including potential misconceptions and biased reasoning.
Main Methods:
- Analysis of journal submissions for patterns associated with AI-generated content.
- Qualitative assessment of risks and ethical considerations.
- Development of practical indicators and best practices for AI use.
Main Results:
- Recurring linguistic, structural, and bibliographic patterns may signal AI-generated content in analytical chemistry submissions.
- Potential risks include superficial content, scientific misconceptions, biased reasoning, and integrity failures.
- The study highlights the need for critical supervision of AI in scientific publications.
Conclusions:
- Responsible, transparent, and critically supervised use of AI is crucial in analytical chemistry publications.
- Guidelines and indicators are proposed to support researchers in navigating AI integration.
- Maintaining the integrity of the scientific record requires careful consideration of AI's role.
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