The document discusses infrared spectroscopy and molecular vibrations. It explains that infrared radiation causes changes in molecular vibrations by absorbing photons. It describes the different types of molecular vibrations including stretching and bending. It outlines the characteristic stretching frequencies of common functional groups in the five infrared regions. Examples are provided to demonstrate analyzing infrared spectra to determine molecular structures.
Uv visible spectroscopy with InstrumentationSHIVANEE VYAS
It is the branch of science that deals with the study of the interaction of matter with light.
OR
It is the branch of science that deals with the study of the interaction of electromagnetic radiation with matter.
Electromagnetic radiation is energy that is propagated through free space or through a material medium in the form of electromagnetic waves, such as radio waves, visible light, and gamma rays, etc. Electromagnetic waves consist of discrete packages of energy which are called as photons.
Uv visible spectroscopy with InstrumentationSHIVANEE VYAS
It is the branch of science that deals with the study of the interaction of matter with light.
OR
It is the branch of science that deals with the study of the interaction of electromagnetic radiation with matter.
Electromagnetic radiation is energy that is propagated through free space or through a material medium in the form of electromagnetic waves, such as radio waves, visible light, and gamma rays, etc. Electromagnetic waves consist of discrete packages of energy which are called as photons.
Fundamentals and Interpretation of Organic Compounds. Infra Red Spectroscopy.THE ELECTROMAGNETIC SPECTRUM, INFRA RED REGIONS. MOLECULAR VIBRATIONS. HOOKE’S LAW. Fermi Resonance. Typical IR Absorption Regions. C-H STRETCHING VIBRATIONS.The O-H stretching region, Effect of Hydrogen-Bondingon O-H Stretching, The N-H stretching region. RESONANCE EFFECTS and HYDROGEN BONDING. HOW THESE FACTORS AFFECT C=O FREQUENCY. CONFIRMATION OF FUNCTIONAL GROUP in IR.CONJUGATION AND RING SIZE EFFECTS in IR, Finger print region in IR.
Infrared spectroscopy deals with the infrared region of the electromagnetic spectrum, that is light with a longer wavelength and lower frequency than visible light. Infrared Spectroscopy is an analysis of infrared light interacting with a molecule.
The IR spectroscopy can be analyzed in three ways: by measuring absorption, emission, and reflection. The major use of this technique is in organic and inorganic chemistry to determine functional groups of molecules. A basic IR spectrum is essentially a graph of infrared light absorbed on the vertical axis vs. frequency or wavelength on the horizontal axis.
An IR spectrum is a plot of percent transmittance (or absorbance) against wavenumber (frequency or wavelength). The interpretation of IR Spectra helps in the characterization of the unknown organic compound.
Infrared spectroscopy (IR spectroscopy or vibrational spectroscopy) involves the interaction of infrared radiation with matter. It covers a range of techniques, mostly based on absorption spectroscopy. As with all spectroscopic techniques, it can be used to identify and study chemicals
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
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A brief information about the SCOP protein database used in bioinformatics.
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The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
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30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
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impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
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Richard's aventures in two entangled wonderlandsRichard Gill
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Mammalian Pineal Body Structure and Also Functions
IR SPECTROSCOPY.ppt
1. Dr. Prabhakar Chavan
Assistant Professor
Department of Studies and Research in Chemistry
Sahyadri Science College, Kuvempu University
Shivamogga-577 203, Karnataka. INDIA
prabhakarchavan7@gmail.com
INFRARED SPECTROSCOPY
2. Infrared Spectroscopy (IR)
Molecular Vibrations
2
Fundamental principle
Absorption of photons causes changes in molecular vibrations
Molecular Vibrations
•Bonded atoms move around in space
•Very fast: one vibration cycle ~10-15 seconds
Stretching (H-Cl)
•Atoms move along bond axis
Bending (H-O-H)
•Motion not along bond axis
•Less important than stretching
4. Molecular Vibrations
4
Vibration energy
• Vibrational energy is quantized (only certain energy values are possible)
Excited vibrational state
Ground vibrational state
DE = hn
For bond vibrations:
DE = dependent on bond
= ~5 kcal mol-1
= lower energy than red light photons
= infrared photons
n = stretching frequency
Vibrational
state
energy
5. INFRARED SPECTROSCOPY
Infrared radiation stimulates molecular vibrations.
Infrared spectra are traditionally displayed as %T (percent
transmittance) versus wavenumber (4000-400 cm-1).
Useful in identifying presence or absence of functional
groups.
INSTRUMENTATION
6. electromagnetic relationships:
λυ = c λ 1/υ
E = hυ E υ
E = hc/λ E 1/λ
λ = wave length
υ = frequency
c = speed of light
E = kinetic energy
h = Planck’s constant
λ
c
7. Two oscillators will strongly interact when their energies
are equal.
E1 = E2
λ1 = λ2
υ1 = υ2
If the energies are different, they will not strongly interact!
We can use electromagnetic radiation to probe atoms and
molecules to find what energies they contain.
19. Infrared radiation
λ = 2.5 to 17 μm
υ = 4000 to 600 cm-1
These frequencies match the frequencies of covalent bond
stretching and bending vibrations. Infrared spectroscopy
can be used to find out about covalent bonds in molecules.
IR is used to tell:
1. what type of bonds are present
2. some structural information
20. IR source sample prism detector
graph of % transmission vs. frequency
=> IR spectrum
4000 3000 2000 1500 1000 500
v (cm-1)
100
%T
0
21. The Infrared Spectrum
21
Many photons absorbed
Spectrum = plot of photon energy versus photon quantity
Number
of
photons
absorbed
Stretching frequency
Proportional to photon energy
Typical infrared spectrum:
Few
photons
absorbed
22. Molecular Structure from IR Spectrum
22
How does spectrum give information about molecular structure?
•Structure controls number of photons absorbed
•Structure controls stretching frequency
23. Structure versus Photon Quantity
23
Chance of photon absorption controlled by change in dipole moment (m)
Intensity of IR peak Vector sum of bond dipoles
d+ X Y d-
Useful approximation
Consider only one bond
From quantum mechanics:
24. Absorption Intensity versus Bond Dipoles
24
•Bond dipole ~ (magnitude of electronegativity difference) x (bond length)
• DEN dipole
• bond length dipole
• bond dipole absorption
In practical terms:
•Highly polar bond strong peak
•Symmetrical (nonpolar) or nearly symmetrical bond peak weak or absent
d+ X Y d-
25. Absorption Intensity versus Bond Dipoles
25
C=O peak strong
H3C CH3
O
CH3
H3C
H3C CH3
C=C peak absent (or maybe weak)
H
H
H3C CH3
C=C peak present but weak
Examples:
Caution!
•Weak peaks not always discernable
•Be careful when excluding symmetrical functional groups base on absence of peak
27. Structure versus Stretching Frequency
27
Hooke’s Law (1660)
•Stretching frequency of two masses on a spring
atoms bond
Stretching frequency =
1
2c
f
mA + mB
mAmB
1/2
bond order
stretching frequency
increasing
spring stiffness
C-C
C=C
CC
atom masses
Functional groups determine IR stretching frequencies
29. Characteristic Stretching Frequencies
The Five Zones
29
Bond Stretching Frequency Shape and Intensity
Zone 1: 3700-3200 cm-1
Alcohol O-H 3650-3200 cm-1 usually strong and broad
Alkyne C-H 3340-3250 cm-1 usually strong and sharp
Amine or amide N-H 3500-3300 cm-1 medium; often broad
Zone 2: 3200-2700 cm-1
Aryl* or vinyl** sp2 C-H 3100-3000 cm-1 variable
Alkyl sp3 C-H 2960-2850 cm-1 variable
Aldehyde C-H ~2900, ~2700 cm-1 medium; two peaks
Carboxylic acid O-H 3000-2500 cm-1 usually strong; very broad
* attached to benzene ring **attached to alkene
30. Characteristic Stretching Frequencies
The Five Zones
30
Bond Stretching Frequency Shape and Intensity
Zone 3: 2300-2000 cm-1
Alkyne CC 2260-2000 cm-1 sharp and variable
Nitrile CN 2260-2220 cm-1 sharp and variable
Zone 4: 1850-1650 cm-1
Ketone C=O 1750-1705 cm-1 strong
Ester C=O 1750-1735 cm-1 strong
Aldehyde C=O 1740-1720 cm-1 strong
Carboxylic acid C=O 1725-1700 cm-1 strong
Amide C=O 1690-1650 cm-1 strong
C=O frequencies 20-40 cm-1 lower when conjugated to a pi bond
31. Characteristic Stretching Frequencies
The Five Zones
31
Bond Stretching Frequency Shape and Intensity
Zone 5: 1680-1450 cm-1
Alkene C=C 1680-1620 cm-1 variable
Benzene C=C
~1600 and
1500-1450 cm-1
variable;
1600 cm-1 often two peaks
37. 37
•Infrared photons cause excitation of molecular vibrations
•Photon absorption probability higher with more polar bonds
•Energy of photons absorbed depends on:
}Functional groups
•IR spectrum divided into five zones
•Each zone analyzed for absence or presence of functional
groups
•Stretching frequency, peak shape both important
Bond order
Masses of atoms bonded
Alcohol O-H usually gives broad peak
C=O stretch gives strong peak
44. Five Zone IR Spectrum Analysis
Example #1: C6H12O2
44
1700 cm-1
Step 1: Calculate DBE
DBE = C - (H/2) + (N/2) + 1
= 6 - (12/2) + (0/2) +1
= 1
One ring or one pi bond
45. Five Zone IR Spectrum Analysis
Example #1: C6H12O2
45
1700 cm-1
Step 2: Analyze IR Spectrum
•Zone 1 (3700-3200 cm-1)
Present
Absent - no N in formula
Absent - not enough DBE
Alcohol O-H:
N-H:
C-H:
46. Five Zone IR Spectrum Analysis
Example #1: C6H12O2
46
1700 cm-1
•Zone 2 (3200-2700 cm-1)
Aryl/vinyl sp2 C-H:
Alkyl sp3 C-H:
Aldehyde C-H:
Carboxylic acid O-H:
Probably not (not enough DBE)
Absent - no 2700 cm-1
Absent - not broad enough
Present
47. Five Zone IR Spectrum Analysis
Example #1: C6H12O2
47
1700 cm-1
•Zone 3 (2300-2000 cm-1)
Alkyne CC:
Nitrile CN:
Absent - no peaks; not enough DBE
Absent - no peaks; not enough DBE
48. Five Zone IR Spectrum Analysis
Example #1: C6H12O2
48
1700 cm-1
•Zone 4 (1850-1650 cm-1)
C=O:
Possibilities: ketone
ester - not enough oxygens
aldehyde - no 2700 cm-1 peak
carboxylic acid - zone 2 not broad
amide - no nitrogen
Present @ 1700 cm-1
49. Five Zone IR Spectrum Analysis
Example #1: C6H12O2
49
1700 cm-1
•Zone 5 (1680-1450 cm-1)
Benzene ring:
Alkene C=C:
Absent - no peak ~1600 cm-1; not enough DBE
Absent - no peak ~1600 cm-1; not enough DBE
Actual structure:
OH
O
50. Five Zone IR Spectrum Analysis
Example #2: C8H7N
50
Step 1: Calculate DBE
DBE = C - (H/2) + (N/2) + 1
= 8 - (7/2) + (1/2) +1
= 6
Six rings and/or pi bonds
Possible benzene ring
51. Five Zone IR Spectrum Analysis
Example #2: C8H7N
51
Step 2: Analyze IR Spectrum
•Zone 1 (3700-3200 cm-1)
Absent - no oxygen in formula
Absent - peaks too small
Absent - peaks too small
Alcohol O-H:
N-H:
C-H:
52. Five Zone IR Spectrum Analysis
Example #2: C8H7N
52
•Zone 2 (3200-2700 cm-1)
Aryl/vinyl sp2 C-H:
Alkyl sp3 C-H:
Aldehyde C-H:
Carboxylic acid O-H:
Present - peaks > 3000 cm-1
Present - peaks < 3000 cm-1
Absent - no 2700 cm-1; no C=O in zone 4
Absent - not broad enough; C=O in zone 4
53. Five Zone IR Spectrum Analysis
Example #2: C8H7N
53
•Zone 3 (2300-2000 cm-1)
Alkyne CC:
Nitrile CN:
Possible
Possible }
54. Five Zone IR Spectrum Analysis
Example #2: C8H7N
54
•Zone 4 (1850-1650 cm-1)
C=O: Absent - no peak; no oxygen in formula
55. Five Zone IR Spectrum Analysis
Example #2: C8H7N
55
•Zone 5 (1680-1450 cm-1)
Benzene ring:
Alkene C=C:
Present - peaks ~1600 cm-1 and ~1500 cm-1
triple bond
Absent - not enough DBE for alkene plus benzene plus
Actual structure: CH2C
C N