Based on the reactivity with Tollen’s, Benedict’s or Fehling’s reagent, carbohydrates are classified as;
Reducing sugars
Carbohydrates that can reduce Tollen’s, Benedict’s or Fehling’s reagents are called reducing sugars (sugar with free aldehyde or ketone group). All monosaccharides and most of the disaccharides are reducing sugars. Some examples are Maltose and Lactose.
Non-reducing sugars
Carbohydrates that cannot reduce Tollen’s, Benedict’s or Fehling’s reagents are called non-reducing sugars. Sucrose is a non-reducing sugar.
Based on the reactivity with Tollen’s, Benedict’s or Fehling’s reagent, carbohydrates are classified as;
Reducing sugars
Carbohydrates that can reduce Tollen’s, Benedict’s or Fehling’s reagents are called reducing sugars (sugar with free aldehyde or ketone group). All monosaccharides and most of the disaccharides are reducing sugars. Some examples are Maltose and Lactose.
Non-reducing sugars
Carbohydrates that cannot reduce Tollen’s, Benedict’s or Fehling’s reagents are called non-reducing sugars. Sucrose is a non-reducing sugar.
characteristic features of an enzymes and their classification categories and also including the mechanisms.then, physical and chemical properties & applications of enzymes.
Trypsin, chymotrypsin & urease
MECHANISM OF ENZYME ACTION
An enzyme attracts substrates to its active site, catalyzes the chemical reaction by which products are formed, and then allows the products to dissociate (separate from the enzyme surface). The combination formed by an enzyme and its substrates is called the enzyme-substrate complex.
Enzymes (Definition, characteristics, mechanism action, activity, stability) ...Saad Bin Hasan
Definition of enzyme, characteristics of enzyme, function of enzyme, mechanism action of enzyme, differences between enzyme and catalyst, activity of enzymes, stability of enzymes
Active sites of the enzyme is that point where substrate molecule bind for the chemical reaction. It is generally found on the surface of enzyme and in some enzyme it is a “Pit” like structure
The active site is a three-dimensional cleft formed by groups that come from different parts of the amino acid sequence
The active site takes up a relatively small part of the total volume of an enzyme
Active sites are clefts or crevices
Substrates are bound to enzymes by multiple weak attractions.
The specificity of binding depends on the precisely defined arrangement of atoms in an active site.
Acids bases and buffers
Pharmaceutical Inorganic Chemistry
Unit 2, Chapter 1
Arrhenius, Bronsted-Lowry and Lewis Concepts of Acids and bases,
Concept of pH, pOH, pKa, pKb
Concept of buffers, buffer solutions, buffer action, and buffer capacity,
Buffer equation
Buffers in pharmaceuticals
Buffered isotonic solutions
Measurement and adjustment of tonicity
Molarity vs Molality What is molarity? Molarity is also known as molar concentration, it is the ratio of moles of substance to volume in liter. Where mole is weight in gram divided by molecular weight. Molarity is chemistry terminology. Molarity... read more at https://chemistrynotesinfo.com/molarity-vs-molality/
Nomenclature and Classification of enzymeFizza Mehwish
The Nomenclature committee of International Union Of Biochemistry and Molecular Biology (IUBMB) adopted rules in 1992 for the systematic Classification and designation based on reaction specificity.
Every enzyme consists of a code of the letters “EC” followed by four numbers separated by periods.
The first digit defines the general type of reaction catalysed by the enzyme and ranges from one to six.
The second figure indicates the subclass.
The third figure gives the sub-subclass.
The fourth figure is the serial number of the enzyme in its sub-subclass.
characteristic features of an enzymes and their classification categories and also including the mechanisms.then, physical and chemical properties & applications of enzymes.
Trypsin, chymotrypsin & urease
MECHANISM OF ENZYME ACTION
An enzyme attracts substrates to its active site, catalyzes the chemical reaction by which products are formed, and then allows the products to dissociate (separate from the enzyme surface). The combination formed by an enzyme and its substrates is called the enzyme-substrate complex.
Enzymes (Definition, characteristics, mechanism action, activity, stability) ...Saad Bin Hasan
Definition of enzyme, characteristics of enzyme, function of enzyme, mechanism action of enzyme, differences between enzyme and catalyst, activity of enzymes, stability of enzymes
Active sites of the enzyme is that point where substrate molecule bind for the chemical reaction. It is generally found on the surface of enzyme and in some enzyme it is a “Pit” like structure
The active site is a three-dimensional cleft formed by groups that come from different parts of the amino acid sequence
The active site takes up a relatively small part of the total volume of an enzyme
Active sites are clefts or crevices
Substrates are bound to enzymes by multiple weak attractions.
The specificity of binding depends on the precisely defined arrangement of atoms in an active site.
Acids bases and buffers
Pharmaceutical Inorganic Chemistry
Unit 2, Chapter 1
Arrhenius, Bronsted-Lowry and Lewis Concepts of Acids and bases,
Concept of pH, pOH, pKa, pKb
Concept of buffers, buffer solutions, buffer action, and buffer capacity,
Buffer equation
Buffers in pharmaceuticals
Buffered isotonic solutions
Measurement and adjustment of tonicity
Molarity vs Molality What is molarity? Molarity is also known as molar concentration, it is the ratio of moles of substance to volume in liter. Where mole is weight in gram divided by molecular weight. Molarity is chemistry terminology. Molarity... read more at https://chemistrynotesinfo.com/molarity-vs-molality/
Nomenclature and Classification of enzymeFizza Mehwish
The Nomenclature committee of International Union Of Biochemistry and Molecular Biology (IUBMB) adopted rules in 1992 for the systematic Classification and designation based on reaction specificity.
Every enzyme consists of a code of the letters “EC” followed by four numbers separated by periods.
The first digit defines the general type of reaction catalysed by the enzyme and ranges from one to six.
The second figure indicates the subclass.
The third figure gives the sub-subclass.
The fourth figure is the serial number of the enzyme in its sub-subclass.
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A discussion on the media and biochemical tests as discussed by Ms. Caryl Villalon, RN, MT. Covers the descriptions of the media and biochemical tests. How to perform the tests, properties of the tests, media and reagents used, and the results of the test. Pictures of positive and negative results are also shown in the slide.
Chemistry Investigated Project for CBSE Class 12
To get the whole "WORD" file DM me at
wadhawan.maanit@yahoo.com
Or Watsapp- 6389004709
( INCLUDING COVER PAGE, CERTIFICATE, AKNOWLEDGEMENT,INDEX, THEORY AND BIBLIOGRAPHY)
Demonstrate knowledge and understanding of preparation, separation and purification of salts as examples of some of the techniques specified in section 2.2.2 and the reactions specified in section 8.1of Cambridge syllabus
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
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.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
1. Biochemical
Tests
describe how to carry out chemical
tests to identify the presence of the
following molecules: protein (biuret
test), reducing and non-reducing
sugars (Benedict’s test), starch (iodine
solution) and lipids (emulsion test);
2. Protein (biuret test)
1. Add sample to a test tube.
2. Add sodium hydroxide and shake to mix.
3. Add a small amount of copper sulphate
drop by drop, shaking between each
addition.
4. Positive result shown by
mauve
3. Reducing sugars (Benedict’s test)
1. Add sample to a test tube
2. Add Benedict’s solution and put in a
water bath.
3. Positive test will show a brick red and a
range of colours between depending on
amount.
4. Non - reducing sugars (Benedict’s
test),
1. Add sample to a test tube
2. Add HCl to hydrolyse any non-reducing
sugars and put in a water bath.
3. Add sodium hydrogencarbonate to the
tube and wait for the fizzing to stop.
4. Add Benedicts Solution
5. Starch (iodine solution)
1. Add sample to a
well in a spotting
tile
2. Add iodine
solution to the
well
3. Positive result will
show a colour
change from
orange to black
6. Lipids (emulsion test)
1. Add sample to a test tube
2. Add ethanol and shake well to mix.
3. Fill a second test tube about two-thirds
full of water.
4. Pour the ethanol mixture onto the water
5. A positive result will
be shown by a cloudy
white precipitate
