Mixture - wikipedia Mixture For other uses, see Mix ( disambiguation ). In chemistry, a mixture is a material made up of two or more different substances which are mixed. A mixture refers to the physical combination of two or more substances in which the identities are retained and are mixed in the form of solutions, suspensions and colloids. Mixtures are one product of mechanically blending or mixing chemical substances such as elements and compounds, without chemical bonding or other chemical change, so that each ingredient substance retains its own chemical properties and makeup. Despite that there are no chemical changes to its constituents, the physical properties of a mixture, such as its melting point, may differ from those of the components. Some mixtures can be separated into their components by using physical ( mechanical or thermal ) means. Azeotropes are one kind of mixture that usually pose considerable difficulties regarding the separation processes required to obtain their constituents ( physical or chemical processes or, even a blend of them ). Characteristics of mixture Mixtures can be either homogeneous or heterogeneous. A homogeneous mixture is a type of mixture in which the composition is uniform and every part of the solution has the same properties. Examples of homogeneous mixtures include alloys and alcohol in water. A heterogeneous mixture is a type of mixture in which the components can be seen, as there are two or more phases present. One example of a mixture is air. Air is a homogeneous mixture of the gaseous substances nitrogen, oxygen, and smaller amounts of other substances. Salt, sugar, and many other substances dissolve in water to form homogeneous mixtures. A homogeneous mixture in which there is both a solute and solvent present is also a solution. Mixtures can have any amounts of ingredients. The following table shows the main properties of the three families of mixtures. Solution Colloid Suspension Homogeneity Homogeneous Visually homogeneous but microscopically heterogeneous Heterogeneous Particle size < 1 nm 1 nm -- 1 μm > 1 μm Physically stable Yes Yes Needs stabilizing agents Exhibits Tyndall effect No Yes Yes Separates by centrifugation No Yes Yes Separates by decantation No No Yes The following table shows examples of the three types of mixtures. Dispersion medium ( mixture phase ) Dissolved or dispersed phase Solution Colloid Suspension ( coarse dispersion ) Gas Gas Gas mixture : air ( oxygen and other gases in nitrogen ) None None Liquid None Liquid aerosol : fog, mist, vapor, hair sprays Spray Solid None Solid aerosol : smoke, cloud, air particulates Dust Liquid Gas Solution : oxygen in water Liquid foam : whipped cream, shaving cream Sea foam, beer head Liquid Solution : alcoholic beverages Emulsion : milk, mayonnaise, hand cream Vinaigrette Solid Solution : sugar in water Liquid sol : pigmented ink, blood Suspension : mud ( soil, clay or silt particles are suspended in water ), chalk powder suspended in water Solid Gas Solution : hydrogen in metals Solid foam : aerogel, styrofoam, pumice Foam : dry sponge Liquid Solution : amalgam ( mercury in gold ), hexane in paraffin wax Gel : agar, gelatin, silicagel, opal Wet sponge Solid Solution : alloys, plasticizers in plastics Solid sol : cranberry glass Clay, silt, sand, gravel, granite Physics and chemistry A heterogeneous mixture is a mixture of two or more chemical substances ( elements or compounds ). Examples are : mixtures of sand and water or sand and iron filings, a conglomerate rock, water and oil, a portion salad, trail mix, and concrete ( not cement ). A mixture of powdered silver metal and powdered gold metal would represent a heterogeneous mixture of two elements. Making a distinction between homogeneous and heterogeneous mixtures is a matter of the scale of sampling. On a coarse enough scale, any mixture can be said to be homogeneous, if the entire article is allowed to count as a `` sample '' of it. On a fine enough scale, any mixture can be said to be heterogeneous, because a sample could be as small as a single molecule. In practical terms, if the property of interest of the mixture is the same regardless of which sample of it is taken for the examination used, the mixture is homogeneous. Gy 's sampling theory quantitavely defines the heterogeneity of a particle as : h i = ( c i − c batch ) m i c batch m aver. ( displaystyle h_ ( i ) = ( \frac ( ( c_ ( i ) - c_ ( \text ( batch ) ) ) m_ ( i ) ) ( c_ ( \text ( batch ) ) m_ ( \text ( aver ) ) ) ). ) where h i ( displaystyle h_ ( i ) ), c i ( displaystyle c_ ( i ) ), c batch ( displaystyle c_ ( \text ( batch ) ) ), m i ( displaystyle m_ ( i ) ), and m aver ( displaystyle m_ ( \text ( aver ) ) ) are respectively : the heterogeneity of the i ( displaystyle i ) th particle of the population, the mass concentration of the property of interest in the i ( displaystyle i ) th particle of the population, the mass concentration of the property of interest in the population, the mass of the i ( displaystyle i ) th particle in the population, and the average mass of a particle in the population. During sampling of heterogeneous mixtures of particles, the variance of the sampling error is generally non-zero. Pierre Gy derived, from the Poisson sampling model, the following formula for the variance of the sampling error in the mass concentration in a sample : V = 1 ( ∑ i = 1 N q i m i ) 2 ∑ i = 1 N q i ( 1 − q i ) m i 2 ( a i − ∑ j = 1 N q j a j m j ∑ j = 1 N q j m j ) 2. ( displaystyle V = ( \frac ( 1 ) ( ( sum _ ( i = 1 ) ^ ( N ) q_ ( i ) m_ ( i ) ) ^ ( 2 ) ) ) sum _ ( i = 1 ) ^ ( N ) q_ ( i ) ( 1 - q_ ( i ) ) m_ ( i ) ^ ( 2 ) left ( a_ ( i ) - ( \frac ( sum _ ( j = 1 ) ^ ( N ) q_ ( j ) a_ ( j ) m_ ( j ) ) ( sum _ ( j = 1 ) ^ ( N ) q_ ( j ) m_ ( j ) ) ) \right ) ^ ( 2 ). ) in which V is the variance of the sampling error, N is the number of particles in the population ( before the sample was taken ), q is the probability of including the ith particle of the population in the sample ( i.e. the first - order inclusion probability of the ith particle ), m is the mass of the ith particle of the population and a is the mass concentration of the property of interest in the ith particle of the population. The above equation for the variance of the sampling error is an approximation based on a linearization of the mass concentration in a sample. In the theory of Gy, correct sampling is defined as a sampling scenario in which all particles have the same probability of being included in the sample. This implies that q no longer depends on i, and can therefore be replaced by the symbol q. Gy 's equation for the variance of the sampling error becomes : V = 1 − q q M batch 2 ∑ i = 1 N m i 2 ( a i − a batch ) 2. ( displaystyle V = ( \frac ( 1 - q ) ( qM_ ( \text ( batch ) ) ^ ( 2 ) ) ) sum _ ( i = 1 ) ^ ( N ) m_ ( i ) ^ ( 2 ) left ( a_ ( i ) - a_ ( \text ( batch ) ) \right ) ^ ( 2 ). ) where a is that concentration of the property of interest in the population from which the sample is to be drawn and M is the mass of the population from which the sample is to be drawn. References Jump up ^ Whitten K.W., Gailey K.D. and Davis R.E. ( 1992 ). General chemistry, 4th Ed. Philadelphia : Saunders College Publishing. ISBN 0 - 03 - 072373 - 6. Jump up ^ Petrucci R.H., Harwood W.S., Herring F.G. ( 2002 ). General Chemistry, 8th Ed. New York : Prentice - Hall. ISBN 0 - 13 - 014329 - 4. CS1 maint : Multiple names : authors list ( link ) Jump up ^ De Paula, Julio ; Atkins, P.W. Atkins ' Physical Chemistry ( 7th ed. ). ISBN 0 - 19 - 879285 - 9. Jump up ^ Alberts B. ; et al. ( 2002 ). Molecular Biology of the Cell, 4th Ed. Garland Science. ISBN 0 - 8153 - 4072 - 9. CS1 maint : Explicit use of et al. ( link ) Jump up ^ Laidler K.J. ( 1978 ). Physical chemistry with biological applications. Benjamin / Cummings. Menlo Park. ISBN 0 - 8053 - 5680 - 0. Jump up ^ Weast R.C., Ed. ( 1990 ). CRC Handbook of chemistry and physics. Boca Raton : Chemical Rubber Publishing Company. ISBN 0 - 8493 - 0470 - 9. ^ Jump up to : Everett, D.H. ( 23 July 1971 ). Manual of Symbols and Terminology for Physicochemical Quantities and Units. Appendix II Definitions, Terminology and Symbols in Colloid and Surface Chemistry. Part I ( PDF ) ( Report ). London : International Union of Pure and Applied Chemistry : Division of Physical Chemistry. Archived ( PDF ) from the original on 28 October 2016. Retrieved 28 October 2016. Jump up ^ Gy, P ( 1979 ). Sampling of Particulate Materials : Theory and Practice. Amsterdam : Elsevier. IUPAC, Compendium of Chemical Terminology, 2nd ed. ( the `` Gold Book '' ) ( 1997 ). Online corrected version : ( 2006 -- ) `` mixture ''. Articles related to solutions Solution Ideal solution Aqueous solution Solid solution Buffer solution Flory -- Huggins Mixture Suspension Colloid Phase diagram Eutectic point Alloy Saturation Supersaturation Serial dilution Dilution ( equation ) Apparent molar property Miscibility gap Concentration and related quantities Molar concentration Mass concentration Number concentration Volume concentration Normality Percentage solution Molality Mole fraction Mass fraction Isotopic abundance Mixing ratio Ternary plot Solubility Solubility equilibrium Total dissolved solids Solvation Solvation shell Enthalpy of solution Lattice energy Raoult 's law Henry 's law Solubility table ( data ) Solubility chart Solvent ( Category ) Acid dissociation constant Protic solvent Inorganic nonaqueous solvent Solvation List of boiling and freezing information of solvents Partition coefficient Polarity Hydrophobe Hydrophile Lipophilic Amphiphile Lyonium ion Lyate ion GND : 4132151 - 0 NDL : 00576600 Retrieved from `` https://en.wikipedia.org/w/index.php?title=Mixture&oldid=854027077 '' Categories : Chemical mixtures Physical chemistry Chemistry Hidden categories : CS1 maint : Multiple names : authors list CS1 maint : Explicit use of et al. 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Question: what are the two types of mixtures in science
Answer: homogeneous