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Related Concept Videos

Chemical Formulas02:52

Chemical Formulas

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A chemical formula presents information about the proportions of atoms constituting a particular chemical compound or molecule, mainly using symbols of elements and numbers. At times other symbols, such as dashes, parentheses, brackets, commas, plus, and minus signs, are also used. A chemical formula can be one of three types – molecular, empirical, and structural.
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Chemical Equations03:10

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Chemical equations represent the identities and relative quantities of substances involved in a chemical reaction. The substances undergoing reaction are called reactants, and their formulas are placed on the left side of the equation. The substances generated by the reaction are called products, and their formulas are placed on the right side of the equation. Plus signs (+) separate individual reactant and product formulas, and an arrow (→) separates the reactant and product (left and right)...
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A chemical reaction is a process by which the bonds in the atoms of substances are rearranged to generate new substances. Matter cannot be created or destroyed in a chemical reaction—the same type and number of atoms that make up the reactants are still present in the products. Merely, the rearrangement of chemical bonds produces new compounds.
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A balanced chemical equation provides the information of chemical formulas of the reactants and products involved in the chemical change. A reaction’s stoichiometry helps predict how much of the reactant is needed to produce the desired amount of product, or in some cases, how much product will be formed from a specific amount of the reactant.
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Chemical bonding theories were pioneered by American chemist Gilbert N. Lewis. He developed a model called the Lewis model to explain the type and formation of different bonds. Chemical bonding is central to chemistry; it explains how atoms or ions bond together to form molecules. It explains why some bonds are strong and others are weak, or why one carbon bonds with two oxygens and not three; why water is H2O and not H4O. 
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The characteristics that enable us to distinguish one substance from another are called properties.
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Free Radicals in Chemical Biology: from Chemical Behavior to Biomarker Development
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Chemically Propelled Motors Navigate Chemical Patterns.

Jiang-Xing Chen1, Yu-Guo Chen1, Raymond Kapral2

  • 1Department of Physics Hangzhou Dianzi University Hangzhou 310018 China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|September 26, 2018
PubMed
Summary
This summary is machine-generated.

Synthetic motors navigate complex chemical patterns, suppressing Brownian motion for controlled transport. These nanoscale machines offer new possibilities for active self-assembly and dynamics in fluctuating environments.

Keywords:
active self‐assemblycollective motor dynamicscontrolled motions of motors along prescribed pathsfar‐from‐equilibrium active chemical media

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Area of Science:

  • Nanotechnology
  • Chemical Engineering
  • Physical Chemistry

Background:

  • Synthetic motors, powered by chemical reactions, are crucial for nanoscale active transport and dynamics.
  • These motors operate in complex, fluctuating environments with diverse chemical patterns, mimicking biological machines.
  • Understanding motor behavior in these environments is key to unlocking their potential applications.

Purpose of the Study:

  • To investigate how chemical patterns influence the motion and behavior of synthetic motors.
  • To explore the use of chemical patterns for controlling motor movement and assembly.
  • To examine the collective dynamics and self-assembly of motors in patterned environments.

Main Methods:

  • Theoretical modeling and simulation of synthetic motor dynamics in chemical patterns.
  • Analysis of motor response to varying chemical pattern dimensions and structures.
  • Investigation of chemotactic effects and domain confinement on motor collective behavior.

Main Results:

  • Small chemical patterns can suppress rotational Brownian motion and guide synthetic motors along prescribed paths.
  • Larger pattern length scales create 'catch basins' for motors via chemotaxis, influencing collective dynamics.
  • Chemically propelled motors in far-from-equilibrium media exhibit increased phenomena and application scope.

Conclusions:

  • Chemical patterns are effective tools for controlling synthetic motor behavior at the nanoscale.
  • Pattern-guided motor dynamics can be leveraged for active self-assembly and novel applications.
  • The study expands the understanding of active particle collective dynamics in complex chemical environments.