Angewandte Chemie International Edition,
Год журнала:
2023,
Номер
62(23)
Опубликована: Март 14, 2023
Microplatform
with
timed
automata
has
been
leveraged
for
guiding
the
preparation
of
molecules,
whereas
requirement
handling
expertise
and
sophisticated
instrument
is
inevitable
in
combination
heterogeneous
catalysis.
Here
we
report
a
microfluidic-based
autolab
open
structures,
called
Put
&
Play
Automated
(PPAM).
It
shows
efficient
hydrogenation
performance
palladium
nanoparticles
on
triphenylene-based
covalent
organic
frameworks
(Pd/TP-COFs)
which
π-π
interactions
TP
rings
vicinity
Pd
optimized
by
easy
change-over
catalyst
simple
tuning
reactor
geometries
PPAM.
Using
experiment/simulation
Pd/TP-COFs
coating
(PCC)
mixing
(PCM)
across
PPAM
different
channel
sizes,
turnover
frequencies
are
60
times
commonly
used
batch
reactor,
aniline
productivity
8.8
g
h-1
achieved
0.09
cm3
.
This
work
will
raise
awareness
about
benefits
catalyst-loaded
microplatform
future
materials
campaigns.
Journal International Inspire Education Technology,
Год журнала:
2022,
Номер
1(2), С. 111 - 124
Опубликована: Авг. 14, 2022
The
study
aimed
to
develop
murottal
audio
media
as
a
medium
for
memorizing
the
Qur’an
in
tahfiz
learn
this
schools
of
scholars
boarding
school
payakumbuh.
Learning
that
uses
will
make
child
even
more
excited
improving
improve
onroveon.
Every
who
is
given
mutual
positive
impact
continuing
their
memorization,
therefore
feelrefeel
beneficial
helpful
student
beneficialg
out
recitation
seta
Qur’totalottal
applications
straightforward
effortless
get
and
also
easy
download
on
mobile
phones
because
increasingly
sophisticated
modern
technology
makes
it
us
them.
Making
students
well
any
application
social
media,
namely
youtube,
Instagram,
WhatsApp,
TikTok,
vidmate
application.
A
have
an
if
used
appropriately.
Therefore
teachers
must
be
wise
explaining
students.
which
there
significantly
letediousiare.
are
dsssenly
want
pay
attention
lessons
by
teachers,
so
order
not
happen
boring
lessons,
needed
learning
process
enthusiasti
about
letherning
takes
place.
Chemistry of Materials,
Год журнала:
2022,
Номер
34(5), С. 1990 - 2024
Опубликована: Фев. 23, 2022
Highly
branched
"bottlebrush"
polymers
are
a
class
of
macromolecules
characterized
by
side
chains
that
densely
grafted
from
backbone
is
typically
linear.
Their
unique
and
often-desirable
properties
stem
steric
repulsion
between
chains,
which
stiffens
the
molecular
contour
increases
interchain
spacing.
There
has
been
renaissance
in
both
our
fundamental
understanding,
practical
synthesis,
application
these
materials,
due
to
synergistic
advances
all
branches
polymer
science.
In
this
perspective,
we
outline
how
wide
variety
new
functional
bottlebrush
materials
have
emerged
convergence
insights
entire
design
process;
integration
characterization,
processing,
modeling
demonstrated
promise
as
versatile
platform
for
engineering.
We
discuss
may
be
further
developed
exhibit
novel
material
out
equilibrium
put
into
practice
next
generation
synthetic,
analytical,
computational
tools
chemistry.
Accelerated
and
parallel
synthesis
of
sequence-defined
polymers
is
an
utmost
challenge
for
realizing
ultrahigh-density
storage
digital
information
in
molecular
media.
Here,
we
report
step-economical
poly(
l
-lactic-
co
-glycolic
acid)s
(PLGAs)
using
continuous
flow
chemistry.
A
reactor
performed
the
programmed
coupling
2-bit
storing
building
blocks
to
generate
a
library
their
permutations
single
flow,
followed
by
sequential
convergences
PLGA
64
bits
four
successive
flows.
We
demonstrate
that
bitmap
image
(896
bits)
can
be
encoded
decoded
14
PLGAs
only
fraction
time
required
equivalent
conventional
batch
processes.
could
also
contribute
macromolecular
engineering
with
precision
comparable
natural
precedents.
Reaction Chemistry & Engineering,
Год журнала:
2022,
Номер
7(6), С. 1315 - 1327
Опубликована: Янв. 1, 2022
Research-scale
fully
automated
flow
platform
for
reaction
self-optimization
with
solids
handling
facilitates
identification
of
optimal
conditions
continuous
manufacturing
pharmaceuticals
while
reducing
amounts
raw
materials
consumed.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Фев. 9, 2024
Abstract
Robotic
platforms
for
chemistry
are
developing
rapidly
but
most
systems
not
currently
able
to
adapt
changing
circumstances
in
real-time.
We
present
a
dynamically
programmable
system
capable
of
making,
optimizing,
and
discovering
new
molecules
which
utilizes
seven
sensors
that
continuously
monitor
the
reaction.
By
dynamic
programming
language,
we
demonstrate
10-fold
scale-up
highly
exothermic
oxidation
reaction,
end
point
detection,
as
well
detecting
critical
hardware
failures.
also
show
how
use
in-line
spectroscopy
such
HPLC,
Raman,
NMR
can
be
used
closed-loop
optimization
reactions,
exemplified
using
Van
Leusen
oxazole
synthesis,
four-component
Ugi
condensation
manganese-catalysed
epoxidation
two
previously
unreported
discovered
from
selected
chemical
space,
providing
up
50%
yield
improvement
over
25–50
iterations.
Finally,
an
experimental
pipeline
explore
trifluoromethylations
reaction
discovers
molecules.
Chemistry - An Asian Journal,
Год журнала:
2022,
Номер
17(14)
Опубликована: Апрель 26, 2022
Abstract
Machine
learning
(ML)
approaches
have
enabled
rapid
and
efficient
molecular
property
predictions
as
well
the
design
of
new
novel
materials.
In
addition
to
great
success
for
problems,
ML
techniques
are
applied
various
chemical
reaction
problems
that
require
huge
costs
solve
with
existing
experimental
simulation
methods.
this
review,
starting
basic
representations
reactions,
we
summarized
recent
achievements
studies
on
two
different
problems;
predicting
properties
synthetic
routes.
The
models
used
predict
physical
related
(e.
g.
thermodynamic
changes,
activation
barriers,
rates).
Furthermore,
reactivity,
self‐optimization
reaction,
designing
retrosynthetic
paths
also
tackled
by
approaches.
Herein
illustrate
strategies
utilized
in
context
studies.
ACS Central Science,
Год журнала:
2023,
Номер
9(2), С. 307 - 317
Опубликована: Фев. 9, 2023
Automation
and
digitalization
solutions
in
the
field
of
small
molecule
synthesis
face
new
challenges
for
chemical
reaction
analysis,
especially
high-performance
liquid
chromatography
(HPLC).
Chromatographic
data
remains
locked
vendors'
hardware
software
components,
limiting
their
potential
automated
workflows
science
applications.
In
this
work,
we
present
an
open-source
Python
project
called
MOCCA
analysis
HPLC-DAD
(photodiode
array
detector)
raw
data.
provides
a
comprehensive
set
features,
including
peak
deconvolution
routine
known
signals,
even
if
overlapped
with
signals
unexpected
impurities
or
side
products.
We
highlight
broad
applicability
four
studies:
(i)
simulation
study
to
validate
MOCCA's
features;
(ii)
kinetics
on
Knoevenagel
condensation
demonstrating
feature;
(iii)
closed-loop
optimization
alkylation
2-pyridone
without
human
control
during
analysis;
(iv)
well
plate
screening
categorical
parameters
novel
palladium-catalyzed
cyanation
aryl
halides
employing
O-protected
cyanohydrins.
By
publishing
as
package
envision
community
chromatographic
further
advancing
its
scope
capabilities.
Current Opinion in Electrochemistry,
Год журнала:
2024,
Номер
44, С. 101459 - 101459
Опубликована: Фев. 6, 2024
The
recent
resurgence
of
electrochemical
methods
in
organic
synthesis
has
also
boosted
the
interest
use
flow
electrolysis
cells.
Flow
electrolyzers
are
essential
tools
for
scale
up
processes
due
to
their
high
electrode
surface
area
reactor
volume
ratio,
which
only
depends
on
interelectrode
gap
regardless
size.
Recent
literature
topic
reveals
that
cell
a
very
common
tool
lab
provide
gram
amounts
material,
often
enabling
lower
voltages
and
decrease
supporting
electrolyte
needed
reaction.
Scale-up
multi-100
g
kilogram
been
demonstrated
both
using
numbering
sizing
strategies.