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Related Concept Videos

Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

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When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
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Electrophilic Aromatic Substitution: Overview01:16

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In an electrophilic aromatic substitution reaction, an electrophile substitutes for a hydrogen of an aromatic compound.
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Predicting Products: SN1 vs. SN202:27

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Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
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Nomenclature of Aromatic Compounds with Multiple Substituents01:11

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When more than one substituent is present on the benzene ring, the IUPAC nomenclature depends on the number of substituents present.
For disubstituted benzene derivatives, with two groups attached to the benzene ring, three constitutional isomers are possible. For example, consider dimethyl benzene, often called xylene, where the second methyl group can be substituted at the second, third, or fourth carbon. The relative position of the substituents is represented by prefixes ortho, meta, or...
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IUPAC Nomenclature of Ketones01:09

IUPAC Nomenclature of Ketones

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Like aldehydes, ketones are named using IUPAC rules; in this case, by replacing “e” in the name of the longest hydrocarbon chain with “one.” In acyclic ketones, the ketonic carbon is given the lowest locant value. For instance, as shown below, a simple five-carbon ketone is named pentan-2-one, instead of pentan-4-one. IUPAC rules also allow the placing of the locant value before the parent name to give an alternate name, 2-pentanone.
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Nomenclature of Aromatic Compounds with a Single Substituent01:23

Nomenclature of Aromatic Compounds with a Single Substituent

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Benzene is the simplest aromatic hydrocarbon or arene. The IUPAC names for simple monosubstituted benzene derivatives are derived by adding the substituent's name as a prefix to the parent benzene. For example, halobenzene, where the halogen could be fluoro (F), chloro (Cl), bromo (Br), and iodo (I).
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Related Experiment Video

Updated: Nov 12, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Identifying Ingredient Substitutions Using a Knowledge Graph of Food.

Sola S Shirai1, Oshani Seneviratne1, Minor E Gordon1

  • 1Rensselaer Polytechnic Institute, Troy, NY, United States.

Frontiers in Artificial Intelligence
|March 18, 2021
PubMed
Summary

Modifying recipes for dietary needs is challenging. A new system uses food knowledge graphs and word embeddings to automatically suggest healthy ingredient substitutions, reducing manual effort.

Keywords:
health empowermentingredient substitutionknowledge graphpatient empowermentsemantic similaritysemantic substitution

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Area of Science:

  • Computational nutrition
  • Food informatics
  • Artificial intelligence in dietary science

Background:

  • Dietary modifications are essential for health management.
  • Recipe adaptation for specific nutritional goals or ingredient avoidance is complex.
  • Identifying suitable and healthy ingredient substitutions requires significant user effort.

Purpose of the Study:

  • To develop an automated approach for identifying and ranking plausible ingredient substitutions in recipes.
  • To create a system that considers both ingredient compatibility and health benefits for dietary adjustments.
  • To reduce the manual effort involved in customizing recipes for individual dietary needs.

Main Methods:

  • Utilized a knowledge graph of food for explicit semantic information about ingredients.
  • Employed word embeddings to capture implicit semantic relationships between ingredients.
  • Developed a diet-improvement ingredient substitutability heuristic (DIISH) to rank substitute options.
  • Integrated nutritional information and food classification constraints to assess substitution healthiness.

Main Results:

  • The DIISH heuristic effectively ranks plausible ingredient substitute options.
  • The system successfully identifies healthy ingredient substitutions based on nutritional data and constraints.
  • Evaluation using real-world substitution data demonstrated the approach's efficacy.
  • The proposed method significantly reduces the human effort needed for recipe modification.

Conclusions:

  • Automated ingredient substitution systems can aid users in adapting recipes for specific dietary requirements.
  • Combining explicit and implicit semantic information enhances the accuracy of substitution suggestions.
  • The DIISH heuristic provides a scalable solution for personalized dietary management through recipe modification.