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Secondary amines react with nitrous acid to form N-nitrosamines, as depicted in Figure 1. Nitrous acid, a weak and unstable acid, is formed in situ from an aqueous solution of sodium nitrite and strong acids, such as hydrochloric acid or sulfuric acid, in cold conditions. In the presence of an acid, the nitrous acid gets protonated. The subsequent loss of water results in the formation of the electrophile known as nitrosonium ion.
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Nitrous acid and nitric acids are two types of acids containing nitrogen, among which nitrous acid is weaker than nitric acid. Nitrous acid with a pKa value of 3.37 ionizes in water to give a nitrite ion and the hydronium ion.
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Nitrous acid is a relatively weak and unstable acid prepared in situ by the reaction of sodium nitrite and cold, dilute hydrochloric acid. In an acidic solution, the nitrous acid undergoes protonation when it loses water to form a nitrosonium ion—an electrophile. Nitrous acid reacts with primary amines to give diazonium salts. The reaction is called diazotization of primary amines.
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Combinatorial Nano-Bio Interfaces.

Pingqiang Cai1, Xiaoqian Zhang1, Ming Wang1

  • 1Innovative Centre for Flexible Devices (iFLEX), School of Materials Science and Engineering , Nanyang Technological University , 50 Nanyang Avenue , 639798 Singapore.

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Advancing nanomedicine requires understanding nano-bio interfaces. Multiparametric approaches and advanced computation can accelerate the development of targeted therapies by decoding complex interactions.

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Nanotechnology

Background:

  • Nano-bio interfaces are critical for biomedical nanomaterials, but their complex interactions hinder clinical translation.
  • Current understanding of these interactions is limited, impeding the development of effective nanomedicines.

Purpose of the Study:

  • To address challenges in combinatorial nano-bio interfaces.
  • To propose a framework for accelerating the development of precision nanomedicine.

Main Methods:

  • Designing nanocombinatorial libraries for high-throughput screening.
  • Employing multiparametric nanocombinatorics (composition, morphology, mechanics, surface chemistry).
  • Utilizing multiscale bioevaluation (biomolecules to tissues) and computational modeling/AI.

Main Results:

  • Combinatorial approaches offer a powerful strategy for decoding nano-bio interfaces.
  • Multiparametric and multiscale evaluations are essential for comprehensive understanding.
  • Integration of computational tools can significantly enhance discovery.

Conclusions:

  • Overcoming challenges in combinatorial nano-bio interfaces is key to advancing precision nanomedicine.
  • A holistic approach combining materials science, biology, and computation is needed.
  • This framework will accelerate the clinical translation of biomedical nanomaterials.