Stoichiometry
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Types of Chemical Reactions and Solution Stoichiometry
Types of Chemical Reactions 4 and Solution Stoichiometry Contents 4.1 Water, the Common Solvent 4.2 The Nature of Aqueous Solutions: Strong and Weak Electrolytes • Strong Electrolytes • Weak Electrolytes • Nonelectrolytes 4.3 The Composition of Solutions • Dilution 4.4 Types of Chemical Reactions 4.5 Precipitation Reactions 4.6 Describing Reactions in Solution 4.7 Stoichiometry of Precipitation Reactions 4.8 Acid–Base Reactions • Acid–Base Titrations 4.9 Oxidation–Reduction Reactions • Oxidation States • The Characteristics of Oxidation–Reduction Reactions 4.10 Balancing Oxidation– Reduction Equations • The Half-Reaction Method for Balancing Oxidation–Reduction Reactions in Aqueous Solutions Yellow lead(II) iodide is produced when lead(II) nitrate is mixed with potassium iodide. 126 Much of the chemistry that affects each of us occurs among substances dissolved in water. For example, virtually all the chemistry that makes life possible occurs in an aqueous environment. Also, various medical tests involve aqueous reactions, depending heavily on analyses of blood and other body fluids. In addition to the common tests for sugar, cholesterol, and iron, analyses for specific chemical markers allow detection of many diseases before obvious symptoms occur. Aqueous chemistry is also important in our environment. In recent years, contami- nation of the groundwater by substances such as chloroform and nitrates has been widely publicized. Water is essential for life, and the maintenance of an ample supply of clean water is crucial to all civilization. To understand the chemistry that occurs in such diverse places as the human body, the atmosphere, the groundwater, the oceans, the local water treatment plant, your hair as you shampoo it, and so on, we must understand how substances dissolved in water react with each other. -
Chapter 17: Electrochemistry
4/12/2021 17.1 Electrochemistry Chapter 17: Deals with chemical reactions that produce electricity and the changes associated Electrochemistry with the passage of charge through matter. Reactions involve electron transfer – oxidation/reduction (redox) Example: A typical AA alkaline battery is rated at 1.5 V. This means the electrical potential difference between the +/– terminals is 1.5 V. It is the chemical reactions in the battery that give rise to this difference. 1 2 1 2 Redox Recap Assigning oxidation numbers Oxidation number rules: 1.) Ox. # = 0 for an atom in pure, elemental state 2+ 2.) Ox. # = <charge> for monatomic ion: Ox. # = 2 for Ca Oxidation number: +1 –1 3.) Sum of all Ox. #’s for atoms in polyatomic ion = charge on polyatomic ion Total contribution to charge: +2 –2 = 0 4.) Sum of all Ox. #’s = charge on species: H2O Ox.(H) = 1, Ox(O) = –2 Oxidation number: +1 +6 –2 Total contribution to charge: +2 +6 –8 = 0 3 4 3 4 1 4/12/2021 Redox terminology Redox terminology applied Oxidation – the loss of electrons OIL RIG – “oxidation is losing, Reduction – the gain of electrons reduction is gaining” 0 +2 –1 +2 –1 0 “Substance X undergoes oxidation.” – X lost electrons 0 +2 –2 +2 –2 0 “Substance Y was reduced.” – Y gained electrons Oxidizing agent – the species that undergoes reduction What was oxidized? Zn Oxidizing agent = CuCl2 Reducing agent – the species that undergoes oxidation What was reduced? Cu2+ Reducing agent = Zn “Substance Z is the oxidizing agent.” – Z gains electrons What is the spectator ion? Cl– (Think: Travel agent – allows someone else to travel) 5 6 5 6 17.1 Balancing redox reactions Example: Balancing redox reaction in acidic solution 1.) Assign oxidation states to all atoms. -
Gas Stoichiometry 84 Mins
Chemistry 20 Unit 4 Lesson 3 - Gas Stoichiometry 84 mins Gas Stoichiometry - gas volume, pressure and temperature, molar If 275 g of propane burns in a gas barbecue, what volume, and the ideal gas law volume of oxygen measured at STP is required for the reaction? PV = nRT C3H8(g) + 5 O2(g) → 3 CO2(g) + 4 H2O(g) 760.000 mmHg = 101.325 kPa = 1.00000 atm 275 g V = ?? R = 8.31451 LkPa/molK 44.11g/mol 32.00 g/mol STP = 0.00 °C, 101.325 kPa 1 mol nC3H8 = 275g × = 6.23 mol 44.11g/mol SATP = 25.00 °C, 100.00 kPa 5 mol of O2 nO2 = 6.23 mol × = 31.2 mol 1 mol of C3H8 nRT 31.2 mol ×8.31451×273.15K VO2 = = = 699 L P 101.325 kP a Gravimetric and Gas Stoichiometry Overview 1. Write a balanced chemical equation and list the A typical Alberta home heated with natural gas (assume measurements, unknown quantity symbol, and methane, CH4(g)) consumes 2.00 ML of natural gas conversion factors for the measured and required during the month of December. What volume of oxygen substances. at SATP is required to burn 2.00 ML of methane 2. Convert the measured quantity to a chemical measured at 0 °C and 120 kPa? amount using the appropriate conversion factor. 3. Calculate the chemical amount of the required CH4(g) + 2 O2(g) → CO2(g) + 2 H2O(g) substance using the mole ratio from the balanced 2.00 ML V = ??? equation. = M = 4. Convert the calculated chemical amount to the 2.00 × 106L 32.00g/mol final quantity requested using the appropriate M = 16.05 conversion factor. -
NGSS Physics in the Universe
Standards-Based Education Priority Standards NGSS Physics in the Universe 11th Grade HS-PS2-1: Analyze data to support the claim that Newton’s second law of motion describes PS 1 the mathematical relationship among the net force on a macroscopic object, its mass, and its acceleration. HS-PS2-2: Use mathematical representations to support the claim that the total momentum of PS 2 a system of objects is conserved when there is no net force on the system. HS-PS2-3: Apply scientific and engineering ideas to design, evaluate, and refine a device that PS 3 minimizes the force on a macroscopic object during a collision. HS-PS2-4: Use mathematical representations of Newton’s Law of Gravitation and Coulomb’s PS 4 Law to describe and predict the gravitational and electrostatic forces between objects. HS-PS2-5: Plan and conduct an investigation to provide evidence that an electric current can PS 5 produce a magnetic field and that a changing magnetic field can produce an electric current. HS-PS3-1: Create a computational model to calculate the change in energy of one PS 6 component in a system when the change in energy of the other component(s) and energy flows in and out of the system are known/ HS-PS3-2: Develop and use models to illustrate that energy at the macroscopic scale can be PS 7 accounted for as either motions of particles or energy stored in fields. HS-PS3-3: Design, build, and refine a device that works within given constraints to convert PS 8 one form of energy into another form of energy. -
Intercommutation of U(1) Global Cosmic Strings
Prepared for submission to JHEP Intercommutation of U(1) global cosmic strings Guy D. Moore Institut f¨urKernphysik, Technische Universit¨atDarmstadt Schlossgartenstraße 2, D-64289 Darmstadt, Germany E-mail: [email protected] Abstract: Global strings (those which couple to Goldstone modes) may play a role in cosmology. In particular, if the QCD axion exists, axionic strings may control the efficiency of axionic dark matter abundance. The string network dynamics depend on the string intercommutation efficiency (whether strings re-connect when they cross). We point out that the velocity and angle in a collision between global strings \renormalize" between the network scale and the microscopic scale, and that this plays a significant role in their intercommutation dynamics. We also point out a subtlety in treating intercommutation of very nearly antiparallel strings numerically. We find that the global strings of a O(2)- breaking scalar theory do intercommute for all physically relevant angles and velocities. Keywords: axions, dark matter, cosmic strings, global strings arXiv:1604.02356v1 [hep-ph] 8 Apr 2016 Contents 1 Introduction1 2 Global string review3 3 Renormalization of string angle and velocity5 4 Microscopic study of intercommutation9 5 Discussion and Conclusions 12 1 Introduction fsec:introg Cosmic strings [1,2] are hypothetical extended solitonic excitations which may play a sig- nificant role in cosmology. Their original motivation, for structure formation [3{5], appears in conflict with modern microwave sky data [6]. But cosmic strings may be important in other contexts. In particular, if the QCD axion [7,8] exists, the axion field may contain a string network in the early Universe [9] which may dominate axion production and play a central role in the axion as a dark matter candidate. -
Chemistry in the Earth System HS Models: Handout 3
High School 3 Course Model: Chemistry in the Earth System HS Models: Handout 3 Guiding Questions Chemistry in the Earth System Performance Expectations Instructional What is energy, how is it HS-PS1-3. Plan and conduct an investigation to gather evidence to compare the structure of substances at the bulk scale to infer the Segment 1: measured, and how does it strength of electrical forces between particles. [Clarification Statement: Emphasis is on understanding the strengths of forces between Combustion flow within a system? particles, not on naming specific intermolecular forces (such as dipole-dipole). Examples of particles could include ions, atoms, molecules, What mechanisms allow us and networked materials (such as graphite). Examples of bulk properties of substances could include the melting point and boiling point, to utilize the energy of our vapor pressure, and surface tension.] [Assessment Boundary: Assessment does not include Raoult’s law calculations of vapor pressure.] foods and fuels? (Introduced, but not assessed until IS3) HS-PS1-4. Develop a model to illustrate that the release or absorption of energy from a chemical reaction system depends upon the changes in total bond energy. [Clarification Statement: Emphasis is on the idea that a chemical reaction is a system that affects the energy change. Examples of models could include molecular-level drawings and diagrams of reactions, graphs showing the relative energies of reactants and products, and representations showing energy is conserved.] [Assessment Boundary: Assessment does not include calculating the total bond energy changes during a chemical reaction from the bond energies of reactants and products.] (Introduced, but not assessed until IS4) HS-PS1-7. -
Reduced Order Modelling of Streamers and Their Characterization by Macroscopic Parameters by Colin A
Reduced order modelling of streamers and their characterization by macroscopic parameters by Colin A. Pavan BASc, University of Waterloo (2017) Submitted to the Department of Aeronautical and Astronautical Engineering in partial fulfillment of the requirements for the degree of Master of Science in Aeronautical and Astronautical Engineering at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 2019 ○c Massachusetts Institute of Technology 2019. All rights reserved. Author................................................................ Department of Aeronautical and Astronautical Engineering May 21, 2019 Certified by. Carmen Guerra-Garcia Assistant Professor of Aeronautics and Astronautics Thesis Supervisor Accepted by........................................................... Sertac Karaman Associate Professor of Aeronautics and Astronautics Chair, Graduate Program Committee 2 Reduced order modelling of streamers and their characterization by macroscopic parameters by Colin A. Pavan Submitted to the Department of Aeronautical and Astronautical Engineering on May 21, 2019, in partial fulfillment of the requirements for the degree of Master of Science in Aeronautical and Astronautical Engineering Abstract Electric discharges in gases occur at various scales, and are of both academic and prac- tical interest for several reasons including understanding natural phenomena such as lightning, and for use in industrial applications. Streamers, self-propagating ioniza- tion fronts, are a particularly challenging regime to study. They are difficult to study computationally due to the necessity of resolving disparate length and time scales, and existing methods for understanding single streamers are impractical for scaling up to model the hundreds to thousands of streamers present in a streamer corona. Conversely, methods for simulating the full streamer corona rely on simplified models of single streamers which abstract away much of the relevant physics. -
A Two-Scale Approach to Logarithmic Sobolev Inequalities and the Hydrodynamic Limit
Annales de l’Institut Henri Poincaré - Probabilités et Statistiques 2009, Vol. 45, No. 2, 302–351 DOI: 10.1214/07-AIHP200 © Association des Publications de l’Institut Henri Poincaré, 2009 www.imstat.org/aihp A two-scale approach to logarithmic Sobolev inequalities and the hydrodynamic limit Natalie Grunewalda,1, Felix Ottob,2, Cédric Villanic,3 and Maria G. Westdickenbergd,4 aInstitute für Angewandte Mathematik, Universität Bonn. E-mail: [email protected] bInstitute für Angewandte Mathematik, Universität Bonn. E-mail: [email protected] cUMPA, École Normale Supérieure de Lyon, and Institut Universitaire de France. E-mail: [email protected] dSchool of Mathematics, Georgia Institute of Technology. E-mail: [email protected] Received 30 May 2007; accepted 7 November 2007 Abstract. We consider the coarse-graining of a lattice system with continuous spin variable. In the first part, two abstract results are established: sufficient conditions for a logarithmic Sobolev inequality with constants independent of the dimension (Theorem 3) and sufficient conditions for convergence to the hydrodynamic limit (Theorem 8). In the second part, we use the abstract results to treat a specific example, namely the Kawasaki dynamics with Ginzburg–Landau-type potential. Résumé. Nous étudions un système sur réseau à variable de spin continue. Dans la première partie, nous établissons deux résultats abstraits : des conditions suffisantes pour une inégalité de Sobolev logarithmique avec constante indépendante de la dimension (Théorème 3), et des conditions suffisantes pour la convergence vers la limite hydrodynamique (Theorème 8). Dans la seconde partie, nous utilisons ces résultats abstraits pour traiter un exemple spécifique, à savoir la dynamique de Kawasaki avec un potentiel de type Ginzburg–Landau. -
Time Scales for Rounding of Rocks Through Stochastic Chipping
Time Scales for Rounding of Rocks through Stochastic Chipping D. J. Priour, Jr1 1Department of Physics & Astronomy, Youngstown State University, Youngstown, OH 44555, USA (Dated: March 10, 2020) For three dimensional geometries, we consider stones (modeled as convex polyhedra) subject to weathering with planar slices of random orientation and depth successively removing material, ultimately yielding smooth and round (i.e. spherical) shapes. An exponentially decaying acceptance probability in the area exposed by a prospective slice provides a stochastically driven physical basis for the removal of material in fracture events. With a variety of quantitative measures, in steady state we find a power law decay of deviations in a toughness parameter γ from a perfect spherical shape. We examine the time evolution of shapes for stones initially in the form of cubes as well as irregular fragments created by cleaving a regular solid many times along random fracture planes. In the case of the former, we find two sets of second order structural phase transitions with the usual hallmarks of critical behavior. The first involves the simultaneous loss of facets inherited from the parent solid, while the second transition involves a shift to a spherical profile. Nevertheless, for mono-dispersed cohorts of irregular solids, the loss of primordial facets is not simultaneous but occurs in stages. In the case of initially irregular stones, disorder obscures individual structural transitions, and relevant observables are smooth with respect to time. More broadly, we find that times for the achievement of salient structural milestones scale quadratically in γ. We use the universal dependence of variables on the fraction of the original volume remaining to calculate time dependent variables for a variety of erosion scenarios with results from a single weathering scheme such as the case in which the fracture acceptance probability depends on the relative area of the prospective new face. -
Stoichiometry: Predicting Amounts in Reactions
Name: Per: 4-4c: Stoichiometry: Predicting Amounts in Reactions Stoichiometry is the process of determining how much product is made or how much reactant is needed during a chemical reaction. As we know, in chemical reactions atoms are conserved. We show this in a balanced chemical equation. The balanced chemical equation tells us two things: 1. Which substances begin with (reactants) and end with (products) during the rearrangement process. 2. The ratio of particles involved. This ratio can be seen either as a ratio of individual particles OR as a ratio of moles. In the lab it is only practical to work with moles of substances rather than individual atoms or molecules, and so we interpret our equations as a ratio of moles, or a mole ratio. Example: 2 Mg + 1O2 → 2 MgO means for every 2 moles of Mg burned, 1 mole of O2 is required to produce 2 moles of MgO, or a ratio of 2 moles Mg : 1 mole O2 : 2 moles MgO We can use this mole ratio relationship to make predictions about how much we need of something, or how much we can make from what we have. Making Predictions In every reaction, there are three stages we need to consider to make good predictions: 1. Before: What we have before the reaction takes place. 2. Change: How much of each substance is formed (products) or rearranged (reactants) 3. After: How much of each substance is present after the reaction is complete. (difference between the Before and the Change) Some good organization can help us in making good predictions. -
Stoichiometry's PCK of University Chemistry Professors Abstract Keywords -...DR ANDONI GARRITZ RUIZ
Stoichiometry’s PCK of University Chemistry Professors Kira Padilla and Andoni Garritz Facultad de Química, Universidad Nacional Autónoma de México Ciudad Universitaria, Avenida Universidad 3000 04510 México, Distrito Federal, México Phone: (5255) 56223711 Fax: (5255) 56223439 Emails: [email protected]; [email protected] Abstract The purpose of this paper is to document the Pedagogical Content Knowledge (PCK) for a set of four university chemistry professors teaching Stoichiometry; i.e. the study of the mass and amount of substance ratios between two or more substances undergoing a chemical change or, in brief, ‘the science of chemical calculations’. This topic can be taught with a simple algorithmic purpose (going for immediate procedures without much understanding about what to do and/or why doing it) or it can be used to reinforce crucial concepts on the chemical reaction or even the particulate constitution of matter. A discussion is presented on the approach given by these four professors in their General Chemistry classes, which has been classified as Conceptual, Representational, Contextual and Procedural. Results are conclusive on the various pedagogical focuses on three of the approaches (Representational, Contextual and Procedural), and the equivalence of the four professors Conceptual approach. Results also reveal a link between Conceptual and Procedural knowledge. Keywords Pedagogical content knowledge, Content Representation, Conceptual profile zones, Stoichiometry, University level Introduction Shulman (1986, 1987) introduced the term pedagogical content knowledge (PCK) in order to draw attention to the value of the special amalgam of content and pedagogical knowledge that a teacher needs to be an outstanding one. Stoichiometry is a specific topic of the College General Chemistry course which PCK deserves to be documented and commented, as it has been pointed out by De Jong, Veal & Van Driel (2002). -
Chapter1describing the Physical Universe
Chapter 1 Describing the Physical Universe On June 21, 2004, SpaceShipOne became the first private aircraft to leave Earth's atmosphere and enter space. What is the future of this technology? Private companies are hoping to sell tickets to adventurous people who want to take a trip beyond Earth's atmosphere. Our study of physics can help us understand how such a trip is possible. Many people, when asked the question “What is physics?” respond with “Oh, physics is all about complicated math equations and confusing laws to memorize.” This response may describe the physics studied in some classrooms, but this is not the physics of the world around us, and this is definitely not the physics that you will study in this Key Questions course! In this chapter you will be introduced to what 3 Does air have mass and take up studying physics is REALLY all about, and you will space? What about light? begin your physics journey by studying motion and 3 How can an accident or mistake speed. lead to a scientific discovery? 3 What is the fastest speed in the universe? 3 1.1 What Is Physics? Vocabulary What is physics and why study it? Many students believe physics is a complicated set of rules, natural law, experiment, analysis, equations to memorize, and confusing laws. Although this is sometimes the way physics is taught, mass, system, variable, it is not a fair description of the science. In fact, physics is about finding the simplest and least macroscopic, scientific method, complicated explanation for things. It is about observing how things work and finding the independent variable, dependent connections between cause and effect that explain why things happen.