Here is your PDF: Guide for the Care and Use of Laboratory Animals, 8th Edition, prepublication copy; Keywords: prepublicationdraftœuncorrectedproofs

The number of pages within the document is: 248

The self-declared author(s) is/are:
NIH/OD/OER/OLAW

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-23 00:51:30.026197

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
PREPUBLICATIONDRAFTŒUNCORRECTEDPROOFS

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Devin M; Keywords: university biomedical engineering – , lab texas

The number of pages within the document is: 11

The self-declared author(s) is/are:
Devin Nelson

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-29 22:37:14.860960

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
CURRICULUM VITAE Core y John Bishop, Ph.D. Assistant Professor, Texas A&M University D EMOGRAPHIC AND PERSONAL INFORMATION Current Texas A&M University Appointments 7 /2016 Current Assistant Professor of Biomedical Engineering 7/2016 Current Principal Investigator of the Pharmacoengineering Laboratory Personal Data Texas A&M University Dwight Look College of Engineering Biomedical Engineering Emerging Technologies Building, Office: 5016 101 Bizzell St. College Station, TX 77845 Office: 1.979.458.3126 Fax: 1.979.845.4450 Email: cbishop@tamu.edu Education and Training 8/2015 7/2016 Post – doctoral Associate in Chemical Engineering Massachusetts Institute of Technology ( MIT ) , Robert (Bob) Langer Lab Vaccine Formulations 3/2015 7/2015 Post – doctoral A ssociate in Biomedical Engineering The Johns Hopkins University School of Medicine , Jordan Green Lab Cancer applications: Formulations (Small Molecule, DNA, and siRNA), theranostics, biomaterial synthesis, nanotechnology, computational modelin g 7/2010 3/2015 Ph.D., National Science Foundation Graduate Research Fellow , Biomedical Engineering (GPA: 4.0) The Johns Hopkins University School of Medicine , Jordan Green Lab Research Abroad: National Science Foundation Nordic Research Fellow (Finland for ~4 months) Cancer applications: Formulations (Small Molecule, DNA, and siRNA) , theranostics, biomaterial synthesis, nanotechnology, computational modeling beta – amino es ter)s and Hybrid Gold – Polymeric 5/2009 6/2010 Biomedical En gineering Graduate Student (GPA: 3.93 ) Univer sity of Utah, Gale/Ambati Lab Implantable Ocular Drug Delivery Device 5/2008 12/2008 U ndergraduate R esearch O pportunity P rogram Biomedical Engineer at the University of Utah Implantable Ocular Drug Delivery Device ; IND Application Preparation 8/2005 5/2009 B.S., Biomedical Engineering (GPA: 3.91) University of Utah Drug Delivery Emphasis Transferred from SLCC (2001 – 2002 & 2004 – 2005) 2002 – 2004 Lived abroad (Pusan, South Korea ) Professional Experience

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: PowerPoint Presentation; Keywords: | summer 2017 issue 3nc state university

The number of pages within the document is: 40

The self-declared author(s) is/are:
Greer Arthur

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-29 21:58:41.979843

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
| SUMMER 2017 Issue 3NC STATE UNIVERSITY | Why You Shouldn™t Be Aiming For Tenure DrSteven Shaw Asks: What Does It Mean To Be A Successful Academic? How One Student Found A Way To Cope Through Graduate School Bircher Muesli: A Nutritious, Healthy Breakfast DrAlex Franke DrJason Cramer Manisit Das, from UNC -Chapel Hill

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Strat Plan, Jan 31, 1230 pm; Keywords: our time, future:the unc compact north carolinastrategic

The number of pages within the document is: 121

The self-declared author(s) is/are:
Eric Johnson

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-30 22:24:04.388875

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
OUR TIME, OUR FUTURE:THE UNC COMPACT WITH NORTH CAROLINASTRATEGIC DIRECTIONS FOR 2013-2018FINAL DRAFTJANUARY 30, 20131

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Chapt8.qxd; Keywords: electrical engineering mathematics students skills must undergraduate

The number of pages within the document is: 13

The self-declared author(s) is/are:
Bev Ruedi

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-30 22:58:48.076726

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
65Engineering:Electrical EngineeringCRAFTY Curriculum Foundations Project Clemson University, May 4Œ7, 2000 Ben Oni, Report EditorKenneth Roby and Susan Ganter, Workshop Organizers SummaryThis report focuses on establishing the foundation mathematics needed to support the study and practice of electrical engineering with emphasis on the undergraduate level. To strengthen communication between communities of mathematicians and electrical engineers, we have prepared this document to highlight the areas of mathematics that are most applicable to the study and practice of electrical engineering.For outcome objectives, we propose that the mathematics taught to undergraduate electrical engineering students should help them in developing skills to:1.Formulate problems in electrical engineering from real life situations, 2.Conceptualize the outcomes of electrical problems, 3.Simplify complex problems and estimate the reasonableness of solutions, 4.Visualize solutions graphically from inspection of their mathematical descriptions, 5.Visualize the form of a time function by insp ection of the poles and zeros of its frequency transform,6.Be able to mathematically model physical reality, 7.Perform rudimentary analysis in electrical engineering, 8.Validate solutions to electrical engineering problems. NarrativeIntroduction and Background Electrical engineering deals with the manipulation of electrons and photons to produce products that benefithumanity. The design of these products is based on scientific principles and theories that are best described mathematically. Mathematics is thus the universal language of electrical engineering science. Undergraduate electrical engineering education must provide students with the conceptual skills to for- mulate, develop, solve, evaluate and validate physical systems. Our students must understand various problem-solving techniques and know the appropriate techniques to apply to a wide assortment of problems. We believe that the mathematics required to enable students to achieve these skills should emphasize con- cepts and problem-solving skills more than emphasizing repetitive mechanics of solving routine problems.Students must learn the basic mechanics of mathematics, but care must be taken that these mechanics do not become the primary focus of any mathematics course.

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Dregs_Couverture_der; Keywords: health organization medical deviceregulations global overview andguiding

The number of pages within the document is: 54

The self-declared author(s) is/are:
Original authors did not specify.

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-23 00:15:17.155884

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
MEDICAL DEVICEREGULATIONS Global overview andguiding principlesWORLD HEALTH ORGANIZATION GENEVA DEPARTMENT OF BLOOD SAFETY AND CLINICAL TECHNOLOGYWORLD HEALTH ORGANIZATION 1211–GENEVA–27 SWITZERLANDFax41 22 791 4836E-mailbct@who.int www.who.int/bct 92 4 154618 2HEALTHCARE TECHNOLOGY LIFE CYCLE De-commissioningMaintenanceTrainingOperationTechnology assessmentEvaluationPlanningProcurementInstallationCommissioningAssessment of needsResearchDevelopmentTestingManufactureMarketingTransferDistributionACQUISITIONUTILISATION PROVISION

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Microsoft Word – ICCMSE_Cramer_060816.doc; Keywords: models condensed smx continuum g. also used

The number of pages within the document is: 29

The self-declared author(s) is/are:
Christopher Cramer

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-22 00:49:06.897139

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
Cramer, C. J.; Truhlar, D. G. ÒSMx Continuum Models for Condensed PhasesÓ in Trends and Perspectives in Modern Computational Science; Lecture Series on Computer and Computational Sciences Vol. 6 ; Maroulis, G. , Simos, T. E., Eds. ; Brill /VSP, Leiden, 2006; pp. 112-140. SMx Continuum Models for Condensed Phases Christopher J. Cramer1 and Donald G. Truhlar1 Department of Chemistry and Supercomputing Institute, University of Minnesota, 207 Pleasant St. SE, Minneapolis, MN 55455-0431, USA Abstract: The SMx continuum models are designed to include condensed-phase effects in classical and quantum mechanical electronic structure calculations and can also be used for calculating geometries and vibrational frequencies in condensed phases. Originally developed for homogeneous liquid solutions, the SMx models have seen substantial application to more complicated condensed phases as well, e.g., the air-water interface, soil, phospholipid membranes, and vapor pressures of crystals as well as liquids. Bulk electrostatics are accounted for via a generalized Born formalism, and other physical contributions to free energies of interaction between a solute and the surrounding condensed phase are modeled by environmentally sensitive atomic surface tensions associated with solute atoms having surface area exposed to the surrounding medium. The underlying framework of the models, including the charge models used for the electrostatics, and some of the modelsÕ most recent extensions are summarized in this report. In addition, selected applications to environmental chemistry problems are presented. Keywords: Solvation; Polarization; Partitioning; Solubility; Thermodynamics; Vapor pressure; Electrochemistry 1. Introduction and Underlying Physics Many excellent reviews of the general theory and development of continuum solvation models are available [1-13], so this contribution will not attempt to provide yet another comprehensive overview of these powerful techniques. Instead, we focus specifically on the history and present status of the SMx models, which have also been reviewed [14-18], but not recently enough to include the latest developments included here. The ÒxÓ in SMx contains information about the model. Any number standing alone (e.g., 1, 2, 3, or 4) or preceding a decimal point (e.g., the Ò5Ó in SM5.42) indicates the generation of the model, and generations have typically been defined by a substantial change in the algorithmic approach undertaken for electrostatics, surface tensions, parameterization strategies, or some combination thereof as outlined in more detail below. Any number or numbers following a decimal point (e.g., the Ò42Ó in SM5.42) generally provide information about the charge models used to represent the solute charge distribution (this is also discussed in more detail below). At the foundation of the SMx models is a partitioning of the free energy of transfer from the gas phase to the condensed phase into two components [19] (1) where the first term on the right-hand-side is, at the quantum mechanical level, computed as 1 Corresponding authors. E-mail: cramer@umn.edu; truhlar@umn.edu.

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Slide 1; Keywords: biophysical chemistry lecture joachim lätzer

The number of pages within the document is: 34

The self-declared author(s) is/are:
Joachim

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-23 22:26:56.183028

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
Biophysical Chemistry I Lecture by Joachim Lätzer

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Differential and Integrated Rate Laws

The number of pages within the document is: 4

The self-declared author(s) is/are:
Abraham Reyes

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-31 22:13:25.566798

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:

1
Reyes
Differential and Integrated Rate Laws
Rate laws describe the progress of the reaction; they are mathematical expressions which describe the
relationship between reactant rates and reactant concentrations. In general, if the reaction is:
𝑎𝐴 + 𝑏𝐵 → 𝑐𝐶 + 𝑑𝐷
We can write the following expression:
𝑟𝑎𝑡𝑒 = 𝑘[𝐴]𝑚[𝐵]
𝑛
Where:
𝑘 is a proportionality constant called rate constant (its value is fixed for a fixed set of conditions, specially
temperature).
𝑚 and 𝑛 are known as orders of reaction. As it can be seen from the above expression, these orders of reaction
indicate the degree or extent to which the reaction rate depends on the concentration of each reactant. We can
say the following about these orders of reaction:
1. In general, they are not equal to the coefficients from the balanced equation. Remember: they are
determined experimentally (unless a reaction is what we call an elementary reaction, but they are the
exception).
2. Each reactant has its own (independent) order of reaction.
3. Orders of reaction are often times a positive number, but they can also be zero, a fraction and in some
instances a negative number.
4. The overall reaction order is calculated by simply adding the individual orders (𝑚 + 𝑛).
As it turns out, rate laws can actually be written using two different, but related, perspectives. Which are these
two perspectives? What information does each provide? Read along and you will find out. On more thing – I
must insist: it is not possible to predict the rate law from the overall balanced chemical reaction; rate laws must
be determined experimentally.
Differential vs Integrated Rate Laws
Differential rate laws express the rate of reaction as a function of a change in the concentration of one or
more reactants over a particular period of time; they are used to describe what is happening at the molecular
level during a reaction. These rate laws help us determine the overall mechanism of reaction (or process) by
which the reactants turn into products. E.g.:
𝑅𝑎𝑡𝑒 = −
𝑑[𝐴]
𝑑𝑡 = 𝑘[𝐴]
𝑛
On the other hand, integrated rate laws express the reaction rate as a function of the initial concentration and
a measured (actual) concentration of one or more reactants after a specific amount of time (t) has passed; they
are used to determine the rate constant and the reaction order from experimental data. E.g. (when 𝑛 = 1):
ln[𝐴] = −𝑘𝑡 + ln[𝐴]0
Where [𝐴]0 is the initial concentration of the reactant and [𝐴] is the concentration after a time 𝑡 has passed.
Although calculus is not needed for this class, on the next page you will see how to obtain the integrated rate
laws for zero, first and second order rate laws because they provide important information. You do not need to
memorize the method nor the equations.
2
Reyes
Zeroth order reactions (𝑛 = 0)
The differential form of the rate law is (notice the presence of the negative sign since the reactant disappears):
𝑅𝑎𝑡𝑒 = −
𝒅[𝑨]
𝒅𝒕 = 𝒌[𝑨]
𝟎 = 𝒌
In order to be able to integrate with ease, we can use a technique called separation of variables to get:
𝑑[𝐴] = −𝑘𝑑𝑡
(notice how each side has a different, unique variable)
Now we can integrate both sides over the desired interval:
∫ 𝑑[𝐴]
[𝐴]
[𝐴]0
= −𝑘 ∫ 𝑑𝑡
𝑡
𝑡0
([𝐴]0 and 𝑡0 are initial conditions, whereas [𝐴] refers to the concentration after a time 𝑡 has passed)
Notice how −𝑘 comes out of the integral since it is a constant. Also, recall from calculus that (you can always
check a table of integrals if you don’t remember):
∫ 𝑑𝑥 = 𝑥 (𝑎 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡 𝐶 𝑖𝑠 𝑎𝑑𝑑𝑒𝑑, 𝑏𝑢𝑡 𝑤𝑒 𝑑𝑜 𝑛𝑜𝑡 𝑛𝑒𝑒𝑑 𝑖𝑡 𝑠𝑖𝑛𝑐𝑒 𝑤𝑒 𝑘𝑛𝑜𝑤 𝑡ℎ𝑒 𝑙𝑖𝑚𝑖𝑡𝑠)
Which leads to (after evaluating over the limits, which means upper limit minus lower limit):
[𝐴]
[𝐴]0
[𝐴] = −𝑘𝑡 𝑡0
𝑡 ⇒ [𝐴] − [𝐴]0 = −𝑘(𝑡 − 𝑡0
)
We consider (actually define) 𝑡0 = 0, and so the equation can take the form:
[𝑨] = −𝒌𝒕 + [𝑨]𝟎
Which looks like:
𝑦 = 𝑚𝑥 + 𝑏
Where:
𝑦 = [𝐴] ; 𝑚 = −𝑘 ; 𝑥 = 𝑡 ; 𝑏 = [𝐴]0
If you think of it, this is a very interesting scenario! Why? If we
keep plotting [𝐴] 𝑣𝑠 𝑡 for a longer and longer period of time, we
will get to a point at which the concentration [𝐴] will become
negative (since we have a negative slope); nevertheless, we are well
aware of the fact that there is no such thing as a negative
concentration, so, what is wrong here?
In actuality, nothing is wrong! What we can conclude is that a zero–
order reaction model can be applied to describe a reaction just for
a limited amount of time; we know the system must, at some point,
change into a different kinetics model.
One more thing. The half–life is defined as the time it takes for half of the initial amount of reactant to
disappear (i.e. a reduction of 50% its original amount). If we replace this idea on the integrated rate law we get:
1
2
[𝐴]0 = −𝑘𝑡1
2
⁄ + [𝐴]0 ; 𝒕𝟏
𝟐
⁄ =
[𝑨]𝟎
𝟐𝒌
This means the half–life depends on the initial concentration of reactant and the rate constant.
[𝐴]0
[𝑨]
𝒕𝒊𝒎𝒆
3
Reyes
First order reactions (𝑛 = 1)
The differential form of the rate law is:
𝑅𝑎𝑡𝑒 = −
𝒅[𝑨]
𝒅𝒕 = 𝒌[𝑨]
After separating the variables we get:
𝑑[𝐴]
[𝐴]
= −𝑘𝑑𝑡
Now we can integrate both sides over the desired interval:

𝑑[𝐴]
[𝐴]
[𝐴]
[𝐴]0
= −𝑘 ∫ 𝑑𝑡
𝑡
𝑡0
Recall from calculus that (or check a table of integrals):

1
𝑥
𝑑𝑥 = ln 𝑥 𝑎𝑛𝑑 ∫ 𝑑𝑥 = 𝑥 (𝑑𝑒𝑓𝑖𝑛𝑖𝑡𝑒 𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑙𝑠)
The above formulas lead to (after evaluating over the limits):
ln[𝐴]
[𝐴]0
[𝐴] = −𝑘𝑡 𝑡0
𝑡 ⇒ ln[𝐴] − ln[𝐴]0 = −𝑘(𝑡 − 𝑡0
)
We consider 𝑡0 = 0, and the equation can take the form:
𝐥𝐧[𝑨] = −𝒌𝒕 + 𝐥𝐧[𝑨]𝟎
Which looks like:
𝑦 = 𝑚𝑥 + 𝑏
Where:
𝑦 = ln[𝐴] ; 𝑚 = −𝑘 ; 𝑥 = 𝑡 ; 𝑏 = ln[𝐴]0
This means that if we plot ln[𝐴] 𝑣𝑠 𝑡, we get a line with a
slope that is the negative of the rate constant. Also, using the
laws of logarithms, we get:
ln[𝐴] − ln[𝐴]0 = 𝐥𝐧
[𝑨]
[𝑨]𝟎
= −𝒌𝒕
What is the time it takes for half of the initial concentration
to disappear (the half–life or 𝑡1/2)?
@ 𝑡 = 𝑡1
2
⇒ [𝐴] =
1
2
[𝐴]0
ln
[𝐴]
[𝐴]0
= −𝑘𝑡 𝑜𝑟 ln
[𝐴]0
[𝐴]
= 𝑘𝑡1
2
(𝑟𝑒𝑣𝑒𝑟𝑠𝑒 𝑠𝑖𝑔𝑛)
𝑘𝑡1
2
= ln
[𝐴]0
1
2
[𝐴]0
; 𝒕𝟏
𝟐
=
𝐥𝐧 𝟐
𝒌

𝟎. 𝟔𝟗𝟑
𝒌
The equation above means the half–life or 𝑡1/2 for a first order reaction is a constant. Check the graph for
[𝐴] 𝑣𝑠 𝑡 (from which you can calculate the half–life) on your textbook. Getting ahead: we will see this half–life
equation again in the nuclear chemistry chapter, although in its exponential form, which is:
[𝐴] = [𝐴]0𝑒
−𝑘𝑡
𝑙𝑛[𝐴]0
𝒍𝒏[𝑨]
𝒕𝒊𝒎𝒆
4
Reyes
Second order reactions (𝑛 = 2)
The differential form of the rate law is:
𝑅𝑎𝑡𝑒 = −
𝒅[𝑨]
𝒅𝒕 = 𝒌[𝑨]
𝟐
We separate the variables and integrate over the interval:

𝑑[𝐴]
[𝐴]
2
[𝐴]
[𝐴]0
= −𝑘 ∫ 𝑑𝑡
𝑡
𝑡0
Recall from calculus that (or check a table of integrals):
∫ 𝑥
𝑛𝑑𝑥 = 𝑥
𝑛+1
(𝑛 + 1) (𝑑𝑒𝑓𝑖𝑛𝑖𝑡𝑒 𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑙) ; 𝑤ℎ𝑒𝑟𝑒 𝑛 = −2, 𝑠𝑜: ∫ 𝑥
2𝑑𝑥 = 𝑥
−1
(−1)
The above formulas lead to (after evaluating over the limits):

1
[𝐴]
[𝐴]0
[𝐴]
= −𝑘𝑡 𝑡0
𝑡 ⇒
1
[𝐴]0

1
[𝐴]
= −𝑘(𝑡 − 𝑡0
)
Notice above how the limits seem changed due to the presence of a −1 on the left side. If 𝑡0 = 0, then:
𝟏
[𝑨]
= 𝒌𝒕 +
𝟏
[𝑨]𝟎
Which, again, looks like:
𝑦 = 𝑚𝑥 + 𝑏
Where:
𝑦 =
1
[𝐴]
; 𝑚 = 𝑘 ; 𝑥 = 𝑡 ; 𝑏 =
1
[𝐴]0
Which means that if we plot 1
[𝐴]
𝑣𝑠 𝑡, we get a line with a slope that is the rate constant itself (not its negative!).
What is the time it takes for half of the initial concentration to
disappear (the half–life or 𝑡1/2)?
@ 𝑡 = 𝑡1
2
⇒ [𝐴] =
1
2
[𝐴]0
1
[𝐴]
=
1
[𝐴]0
2
=
𝟐
[𝑨]𝟎
= 𝒌𝒕 +
𝟏
[𝑨]𝟎
𝒕𝟏
𝟐
=
𝟏
𝒌[𝑨]𝟎
Notice that, as it was the case with the half–life for the zeroth order
reaction, the half–life for the second order reaction also depends
(albeit in a different way) from the initial concentration of the reactant (as well as on the rate constant); for this
reason, the concept of half–life for second (and zeroth order) reactions are far less useful. However, the inverse
relation of the half–life on the initial concentration suggests the following:
1. With a high initial concentration of reactant, we have a higher probability of the two reactant molecules
interacting to form product; consequently, the reactant will be consumed in a shorter period of time.
2. Since the half–life is longer when initial concentrations are low, species following a second order kinetics
may exists for a longer period of time if their initial concentrations are small.
1
[𝐴]0
𝒕𝒊𝒎𝒆
𝟏
[𝑨]

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.

Here is your PDF: Introduction to Biofuel; Keywords: introductiontobiofuelapril30,2009eep142presentedby:nanshidorischenyuhui(becky) lisongxu(daniel) wu

The number of pages within the document is: 34

The self-declared author(s) is/are:
BECKY LI

The subject is as follows:
Original authors did not specify.

The original URL is: LINK

The access date was:
2019-01-31 21:41:04.999397

Please be aware that this may be under copyright restrictions. Please send an email to admin@pharmacoengineering.com for any AI-generated issues.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

The content is as follows:
IntroductiontoBiofuelApril30,2009EEP142PresentedBy:NanShiDorisChenYuHui(Becky) LiSongxu(Daniel) Wu

Please note all content on this page was automatically generated via our AI-based algorithm. Please let us know if you find any errors.