Science

A sweeter future? AI helps scientists discover new sugar substitutes

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 05/11/2026, 17:55:25 UTC.

Briefings

Researchers at Hebrew University of Jerusalem developed a computational framework using artificial intelligence to identify 92 promising sugar substitutes from over 50 million chemical compounds. The study, published in Food Chemistry, addresses the industry challenge of unwanted bitter aftertastes in sweeteners. The findings represent a significant advancement in molecular modeling capabilities.

Key points

• Researchers Dr. Shayma El-Atawneh and professor Amiram Goldblum at Hebrew University of Jerusalem developed a computational framework.
• The framework identified 92 promising candidates for future sugar substitutes from more than 50 million chemical compounds.

Context

This research addresses a persistent challenge in the sugar industry: unwanted bitter aftertastes in sweeteners. The study demonstrates how AI and molecular modeling can accelerate discovery, published in Food Chemistry.

Limitations

The evidence is limited to the specific study published in Food Chemistry. No additional background on the industry's challenges or the framework's performance beyond the stated results is provided.

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