THIS PPT WILL EXPLAIN YOU ALL ABOUT ACID AND BASE AND THEORIES OF ACID AND BASE . THIS IS VERY HELPFUL FOR THE STUDENTS FROM DIPLOMA AND BACHELOR PHARMACY STUDENTS.
THIS PPT WILL EXPLAIN YOU ALL ABOUT ACID AND BASE AND THEORIES OF ACID AND BASE . THIS IS VERY HELPFUL FOR THE STUDENTS FROM DIPLOMA AND BACHELOR PHARMACY STUDENTS.
hi guys,i have been getting useful materials for my students teaching, the least i can do for thanking all of you is by uploading this file on acids,bases and salts
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hi guys,i have been getting useful materials for my students teaching, the least i can do for thanking all of you is by uploading this file on acids,bases and salts
thanks
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
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.
4. Acids
Have a sour taste. Vinegar is a solution of acetic acid. Citrus
fruits contain citric acid.
React with certain metals to produce hydrogen gas.
React with carbonates and bicarbonates to produce carbon
dioxide gas
Have a bitter taste.
Feel slippery. Many soaps contain bases.
Bases
5. Some Properties of Acids
Produce H+ (as H3O+) ions in water (the hydronium ion is a hydrogen ion
attached to a water molecule)
Taste sour
Corrode metals
Electrolytes
React with bases to form a salt and water
pH is less than 7
Turns blue litmus paper to red “Blue to Red ACID”
6. Anion
Ending Acid Name
-ide hydro-(stem)-ic acid
-ate (stem)-ic acid
-ite (stem)-ous acid
Acid Nomenclature Review
No Oxygen
w/Oxygen
An easy way to remember which goes with which…
“In the cafeteria, you ATE something Icky”
9. Some Properties of Bases
Produce OH- ions in water
Taste bitter, chalky
Are electrolytes
Feel soapy, slippery
React with acids to form salts and water
pH greater than 7
Turns red litmus paper to blue “Basic Blue”
10. Some Common Bases
NaOH sodium hydroxide lye
KOH potassium hydroxide liquid soap
Ba(OH)2 barium hydroxide stabilizer for plastics
Mg(OH)2 magnesium hydroxide “MOM” Milk of magnesia
Al(OH)3 aluminum hydroxide Maalox (antacid)
11. Acid/Base definitions
• Definition 1: Arrhenius (traditional)
Acids – produce H+ ions (or hydronium ions H3O+) in water
Bases – produce OH- ions in water
(problem: some bases don’t have hydroxide ions!)
12. Arrhenius acid is a substance that produces H+ (H3O+) in water
Arrhenius base is a substance that produces OH- in water
13. Acid/Base Definitions
• Definition 2: Brønsted Lowry
Acids : proton donor
Bases : proton acceptor
A “proton” is really just a hydrogen atom
that has lost it’s electron!
14. A Brønsted-Lowry acid is a proton donor
A Brønsted-Lowry base is a proton acceptor
acid
conjugate
base
base
conjugate
acid
15. ACID-BASE THEORIES
The Brønsted definition means
NH3 is a BASE in water and
water is itself an ACID
Base
Acid
Acid
Base
NH4
+
+ OH-
NH3 + H2O
16. Amphoteric Substances
• A substance that is Amphoteric can act as
either an acid or a base.
• In the previous slide, water acted as an acid.
• In the following example, water acts as a base.
HCl (g) + H2O (l) H3O+ (aq) + Cl- (aq)
acid base conj. acid conj. base
18. Acid-Base Behavior
• Consider a compound having the formula HOX.
• If X is highly electronegative, it will have a strong attraction
for the electrons shared with O.
o The O, will in turn, pull strongly on the electrons held shared
with H.
o This H will then be easily lost = acid
• If X has a low electro negativity, the oxygen will pull the
electrons away from X.
o The hydrogen will remain joined to the oxygen.
o Since the O and H can easily remain together, it is likely that OH-
will be formed = base
• Nonmetals tend to have high EN = acids
• Metals tend to have low EN = bases
19. Acids & Base Definitions
Lewis acid: A substance
that accepts an electron
pair
Lewis base: A substance
that donates an electron
pair
Definition 3: Lewis
20. Formation of hydronium ion is also an excellent
example.
Lewis Acids & Bases
•Electron pair of the new O-H bond
originates on the Lewis base.
H
H
H
BASE
••
•
•••
O—H
O—H
H+
ACID