Nanoparticles between 1-100 nanometers are used in sensors due to their optical properties. Silver nanoparticles are commonly used due to higher extinction coefficient and biological properties. Nanoparticle sensors can detect biological, chemical, or surgical information on a microscopic level due to their small size. They interact with light and exhibit surface plasmon resonance, enhancing local electromagnetic fields. Nanoparticle sensors have applications in medicine, national security, aerospace, and more. Challenges remain in reducing costs, improving reliability, and mass production.
It's simple to understand the synthesis. Hydrothermal method is a chemical reaction in water in a sealed pressure vessel, which is in fact a type of reaction at both high temperature and pressure.
It's simple to understand the synthesis. Hydrothermal method is a chemical reaction in water in a sealed pressure vessel, which is in fact a type of reaction at both high temperature and pressure.
A part of nanotechnology. Nanosensors is very hot topic for research. As nanosensor has immense applications in the fields like medical, analysis, research etc. Nanosensor recude the cost and also the time require for analysis.
Classification of Nanostructures by Peeyush MishraPeeyush Mishra
In this presentation, I have tried to define Nanostructures and discuss various types of Nanostructures. I have also compared the ways in which Nanomaterials can be synthesized.
The following presentation is only for quick reference. I would advise you to read the theoretical aspects of the respective topic and then use this presentation for your last minute revision. I hope it helps you..!!
Mayur D. Chauhan
The following presentation is only for quick reference. I would advise you to read the theoretical aspects of the respective topic and then use this presentation for your last minute revision. I hope it helps you..!!
Mayur D. Chauhan
here you can find the most rare topics in detail
all fields of chemistry are deeply understood here for presenting the lectures
stay blessed and keep supporting
A part of nanotechnology. Nanosensors is very hot topic for research. As nanosensor has immense applications in the fields like medical, analysis, research etc. Nanosensor recude the cost and also the time require for analysis.
Classification of Nanostructures by Peeyush MishraPeeyush Mishra
In this presentation, I have tried to define Nanostructures and discuss various types of Nanostructures. I have also compared the ways in which Nanomaterials can be synthesized.
The following presentation is only for quick reference. I would advise you to read the theoretical aspects of the respective topic and then use this presentation for your last minute revision. I hope it helps you..!!
Mayur D. Chauhan
The following presentation is only for quick reference. I would advise you to read the theoretical aspects of the respective topic and then use this presentation for your last minute revision. I hope it helps you..!!
Mayur D. Chauhan
here you can find the most rare topics in detail
all fields of chemistry are deeply understood here for presenting the lectures
stay blessed and keep supporting
Nanotechnology is a field that deals with things at molecular level that is as tiny as 10^(-9) of units and finds very useful implementations from cleaning clothes to curing the "incurable"--CANCER.
Longifolene is common naturally occurring, oily liquid hydrocarbon found in the high boiling fraction of certain pine resins.
Juvabione is a terpene- derived-keto-ester that has been isolated from plant sources.
Morphine is a major component of opium,it is isolated from poppy straw of the opium poppy.
Graphene is a single layer of carbon from the graphite.
Graphene is the strongest and the thinnest material known to exist.
Graphene is a 2- dimensional network of carbon atom. It is more efficient than silicon transistors. It can run at higher frequency. It is transparent in nature.
Conducting polymers have extended p-orbital system, through which electrons can be moved from one end to another and of polymer. Also, when a polymer is doped, there are changes in it due to resonance the charge can drift through the chain, and generating the conductivity.
Alkenes by absorption of light activated to higher energy singlet & triplet state and undergoes chemical reaction. These reactions are mainly:- 1. Cis - trans isomerization
2. Dimerization
3. Cycloaddition
These are chemical shift reagents and solvent induced shifts have their application in resolving the NMR Spectra of complex structures by inducing shift with respect to reference compound. Thus useful in interpretation of structures of complex organic compounds.
Hypervalent refers to the main group elements that breaks the octet rule and firmly has more than right electrons in it's valence shell. These are non - metallic oxidation reagents.
Polymer supported Catalysts are in the form of network polymers in the form of beads.these polymers support can easily be recycled at the end the reaction mixture . It facilitates the purification process and isolation.
Biocatalysts are substance which alters to promote the reaction and a substance especially an enzyme, that initiates or modified the rate of chemical reaction.
Conducting polymers are those polymers which conduct electricity due to extended P- orbital system. Due to this extension of P orbital electrons can move from one end to another end of the polymer.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Richard's aventures in two entangled wonderlandsRichard 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.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
3. Introduction:
Nanoparticles are the particles between 1 and 100
nanometers in size.
The metal nanoparticles mainly silver nanoparticles are
used over gold nanoparticles due to some good optical
properties.
Silver nanoparticles exhibits higher extinction coefficient,
sharper extinction bands, high
electrical conductivity and biological properties
3
4. Nanoparticle as sensors:
Any biological, chemical or surgical sensor point to detect
information about nanoparticle on the microscopic level.
Why use nanotechnology for sensing?
Smaller size
Reduce power consumption
Increase sensitivity
Direct detection
4
5. Surface plasmon:
The metal nanoparticles displays unique optical properties.
They exhibit strong extinction bands in visible spectrum, and
therefore bright and gaudy colours.The interaction of the
electromagnetic field of light with metal nanoparticles, results
in the collective coherent oscillation of the metal conduction
electrons with respect to the nanoparticle positive lattice. At
particular frequency of light this process is resonant, LSPR.
LSPR enhanced local electromagnetic field near the surface
of nanoparticle.
LSPR condition is satisfied at visible light frequencies.
5
7. Types of sensors on basis of plasmonic
properties:
The two main groups sensors depend on the type of
interaction involved
First group sensors involved LSPR frequency shift, due to
the interaction between nanoparticle and target molecule.
The 2nd group of sensors based on the electromagnetic
field enhancement in the vicinity of metal nanoparticle,
which results in the surface enhanced spectroscopies, such
as SERS and MEF.
7
9. Biosensors
Biosensors are the detection devices using biological
elements ti detect chemicals and biologics in body.
Biosensors are used in
1. Pregency tests
2. Cancer cell detection
3. Glucose monitoring
4. DNA specific medication
5. Pollution/ air and water filtration
9
10. Biosensors:
DNA and other biomaterials
can be sensed using encoded
antibodies on nanobarcode
particle.
DNA molecule attach to the ends
of vertical carbon nanotubes
that are grown on a silicon chip.
These detect specific types of
DNA in an analyte.
10
12. Military/National security
The SnifferSTAR is a nano-
Enabled chemical sensor
That is integrated into a
Micro unmanned aerial
Vehicle.
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A lightweight, portable
chemical detection
system Combines a
nanomaterial for
sample collection and
concentration with a
MEM based “chemical
lab-on-a chip” detector.
Most likely to be used
in defence and
homeland security.
13. Aerospace:
Nanosensors can pass through membranes and into white
blood cells, called lymphocytes, to detect early radiation
damage or infection in astronauts.
May be able to eventually be administered through the skin
every few weeks, avoiding injections or Ivs during space
missions.
This eliminates the need to draw and test blood.
13
14. The future:
Could lead to tiny, low power, smart sensors manufactured
cheaply in large quantities.
Services areas could include:
1. Situ sensing of structural materials.
2. Sensors redundancy in systems.
3. Size and weight constrained structures.
-Satellites and space platforms.
14
15. Challenges:
Reducing the cost of materials and devices
Improving reliability
Packaging the devices into useful products
Mass-producing
15
16. Conclusion:
Nanoparticles are the particles which has very small sizes in
units of nanometers.
Nanosensors which are used to detect information about
nanoparticles on very small scale.
Nanosensors has various application in different field.
Nanosensors has many properties which are very useful but
still the process to make more efficient and tiny sensors is in
progress.
16
17. References:
S. Agrawal and R. Prajapati , “Nanosensors and their pharmaceutical
applications: a review” ; 2012(4) : 1528-1535
Ibrahin khan and Idress khan, “Nanoparticles: properties, applications
and toxicities”; 2017(12) : 908-931.
Michael Holzinger, Alan le Goff and Serge Cosnier, “Nanoparticles for
biosensing applications: a review” ; 2014(2) : 63-67.
E.C Dreceden, A.M. Alkilang, X. Huany, C.J. Murphy and M.A. Sayed,
“The golden age: gold nanoparticles for biomedicines” ; 2012(41) :
2740-2779.
K. Aslan, J. Zhang, J.R. Lakowicz and C.D. Geddes, “Saccharide sensing
using gold and silver nanoparticles – a review” ; 2014(4) :319-400.
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