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Questions and Answers
Democritus proposed that if you were to divide a substance into smaller parts, you would eventually reach a particle that could not be divided. What term did he use for this particle?
Democritus proposed that if you were to divide a substance into smaller parts, you would eventually reach a particle that could not be divided. What term did he use for this particle?
- Compound
- Element
- Atomos (correct)
- Molecule
Scientists have discovered 118 types of atoms. Of these, 94 are found in nature, and the rest are obtained in laboratories. How many types of atoms have been obtained in laboratories?
Scientists have discovered 118 types of atoms. Of these, 94 are found in nature, and the rest are obtained in laboratories. How many types of atoms have been obtained in laboratories?
- 34
- 118
- 94
- 24 (correct)
What is the correct symbolic representation of carbon element?
What is the correct symbolic representation of carbon element?
- Ca
- Co
- Cr
- C (correct)
Pure substances can be classified into:
Pure substances can be classified into:
Which of the following is the best example of a simple substance?
Which of the following is the best example of a simple substance?
Which statement accurately describes how oxygen molecules change as temperature decreases from room temperature to a liquid state?
Which statement accurately describes how oxygen molecules change as temperature decreases from room temperature to a liquid state?
Which of the figures shows molecules?
Which of the figures shows molecules?
How do the properties of substances composed of metals typically differ from those of substances composed of non-metals?
How do the properties of substances composed of metals typically differ from those of substances composed of non-metals?
What is the relationship between chemical elements and atoms regarding their symbolic representation?
What is the relationship between chemical elements and atoms regarding their symbolic representation?
Given that oxygen molecules consist of two oxygen atoms bonded together and sulfur molecules are made up of eight sulfur atoms, and gold (metal) consists of millions of atoms, how do these substances differ in terms of their molecular structure and bonding?
Given that oxygen molecules consist of two oxygen atoms bonded together and sulfur molecules are made up of eight sulfur atoms, and gold (metal) consists of millions of atoms, how do these substances differ in terms of their molecular structure and bonding?
Flashcards
What is an atom?
What is an atom?
Smallest indivisible particle of matter.
Who was Democritus?
Who was Democritus?
Democritus thought everything was made up of very small and indivisible particles.
What forms a chemical element?
What forms a chemical element?
Atoms belonging to one type form a chemical element.
What composes substances?
What composes substances?
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What makes up oxygen molecules?
What makes up oxygen molecules?
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Study Notes
Trigonometric Functions: Definition
- Considers a circle with a radius of 1, centered at the origin
- Defines $\theta$ as the angle between the x-axis and a point on the circle
- $\cos(\theta)$ refers to the x-coordinate of that point
- $\sin(\theta)$ refers to the y-coordinate of that point
The Unit Circle
- The image shows a unit circle with a radius of 1
- The angle $\theta$ is measured counterclockwise from the positive x-axis
- The x-coordinate of a point on the circle is the cosine ($\cos(\theta)$)
- The y-coordinate of a point on the circle is the sine ($\sin(\theta)$)
- Common angles are labeled in degrees and radians
- Values of cosine and sine are provided for those angles
- Four quadrants of the circle are clearly marked
Trigonometric Functions: Formulas
- Tangent: $\tan(\theta) = \frac{\sin(\theta)}{\cos(\theta)}$
- Cosecant: $\csc(\theta) = \frac{1}{\sin(\theta)}$
- Secant: $\sec(\theta) = \frac{1}{\cos(\theta)}$
- Cotangent: $\cot(\theta) = \frac{1}{\tan(\theta)}$
- Pythagorean identity: $\sin^2(\theta) + \cos^2(\theta) = 1$
Trigonometric Functions: Periodicity
- Trigonometric functions exhibit periodicity
- Sine function: period of $2\pi$
- Cosine function: period of $2\pi$
- Tangent function: period of $\pi$
Trigonometric Functions: Transformations
- General form: $f(x) = A\sin(B(x - C)) + D$
- Where:
- $A$ is the Amplitude
- $B$ affects the period; Period equals $\frac{2\pi}{B}$
- $C$ is the phase shift (horizontal translation)
- $D$ is the vertical shift
Trigonometric Functions: Graph of sin(x)
- Graph displays $y = \sin(x)$
- The x-axis shows radian values ranging from $-2\pi$ to $2\pi$
- The y-axis ranges from -1 to 1
- The sine wave oscillates between -1 and 1
- Key points are marked at $0, \frac{\pi}{2}, \pi, \frac{3\pi}{2},$ and $2\pi$
Trigonometric Functions: Graph of cos(x)
- Graph displays $y = \cos(x)$
- The x-axis shows radian values ranging from $-2\pi$ to $2\pi$
- The y-axis ranges from -1 to 1
- The cosine wave oscillates between -1 and 1
- Key points are marked at $0, \frac{\pi}{2}, \pi, \frac{3\pi}{2},$ and $2\pi$
Trigonometric Functions: Graph of tan(x)
- The graph displays $y = \tan(x)$
- The x-axis shows values in radians
- The y-axis shows the values
- Vertical asymptotes are located at $x = -\frac{3\pi}{2}, -\frac{\pi}{2}, \frac{\pi}{2},$ and $\frac{3\pi}{2}$
- The tangent function approaches but never reaches these asymptotes
- The x-intercepts are located at $x = -\pi, 0,$ and $\pi$
Dynamic Light Scattering: Particle Sizing
Introduction to Dynamic light scattering (DLS)
- DLS, also called PCS or QELS, is used to find the size distribution of particles in a solution
- A laser beam is directed through a colloidal solution, causing particles to scatter light
- A detector picks up the scattered light
- The intensity of the light that scattered light has fluctuations over time because of Brownian motion
- These fluctuations are used to find the particle size
Theory of Dynamic light scattering (DLS)
- Brownian motion happens when particles move randomly in a fluid
- This is caused by collisions with fluid molecules
- Smaller particles move faster
- The diffusion coefficient (D) measures how fast particles diffuse
- The Stokes-Einstein equation expresses its relation to particle size (d): $D = \frac{k_BT}{3\pi\eta d}$
- $k_B$: Boltzmann constant
- $T$: Temperature
- $\eta$: viscosity of the fluid
- Intensity fluctuations of scattered light are due to Brownian motion
- Fluctuation rate correlates with the diffusion coefficient
- The autocorrelation function $g_2(Ï„)$ measures the fluctuation rate: $g_2(Ï„) = \frac{}{^2}$
- $I(t)$: scattered light intensity at time t
- $Ï„$: delay time
- For a monodisperse suspension, the autocorrelation decays exponentially: $g_2(τ) = 1 + β exp(-2Γτ)$
- $β$: constant related to optical setup
- $Γ$: decay rate
- The decay rate relates to the diffusion coefficient by: $$Γ = Dq^2$$
- The scattering vector (q) calculates as: $q = \frac{4\pi n sin(θ/2)}{λ}$
- $n$: refractive index of the solvent
- $θ$: scattering angle
- $λ$: wavelength of the laser light
- By measuring the autocorrelation function, the decay rate, diffusion coefficient, and particle size can be calculated
Data Analysis of Dynamic light scattering (DLS)
- Involves fitting the measured autocorrelation function to the theoretical model to find the decay rate
- For polydisperse suspensions, the autocorrelation combines exponentials: $g_2(τ) = 1 + β[\int G(Γ)exp(-Γτ)dΓ]^2$
- $G(Γ)$: decay rate distribution
- Various algorithms used to invert this for determining size distribution
- A common algorithm is the CONTIN algorithm as a constrained regularization method
Advantages of Dynamic Light Scattering (DLS)
- Non-destructive
- Fast and easy to use
- Can measure particle sizes ranging from nanometers to microns
Disadvantages of Dynamic Light Scattering (DLS)
- Sensitive to contaminants like dust
- Requires knowing the refractive index and viscosity of the solvent
- Assumes particles are spherical
Applications of Dynamic Light Scattering (DLS)
- Characterizing nanoparticles
- Monitoring protein aggregation
- Studying the stability of emulsions
Summary Table: Dynamic Light Scattering (DLS)
- Principle: Measures light intensity fluctuations scattered by particles due to Brownian motion
- Measured Quantity: Autocorrelation function, quantifying intensity correlation over time
- Data Analysis: Determines decay rate from the autocorrelation function, relating this to the diffusion coefficient and particle size
- Stokes-Einstein Equation: Relates diffusion coefficient to hydrodynamic diameter
- Advantages: Non-destructive and relatively fast, suitable for particle sizes in the nanometer to micron range
- Disadvantages: Sensitive to dust, requires solvent properties, assumes spherical shapes
- Applications: Nanoparticle characterization, protein aggregation monitoring, studies on emulsion stability
- Scattering Vector: Defined by equation involving refractive index, scattering angle, and light wavelength
- Decay Rate: Correlates diffusion coefficient with the scattering vector
- Polydisperse Suspension: Describes non-uniform particle sizes, involving decay rate distribution
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