In
this
study,
an
online
preparative
high-performance
liquid
chromatography
(prep-HPLC)
system
based
on
the
combination
of
enrichment
and
preparation
modes
for
efficient
systematic
separation
Panax
notoginseng
saponins
(PNS)
was
achieved.
Five
columns
were
used
first
second
target
components,
eighteen
trap
to
capture
effluents
from
or
loading
trapped
sample
effluents,
a
two-position
eight-port
valve
switch
between
separations.
The
conditions
PNS
simulated
optimized
with
prep-HPLC
system.
Then,
separated
using
chromatographic
conditions.
Notably,
14
monomer
compounds
>90%
purity
(11
>97%)
simultaneously
isolated
above
self-developed
device,
their
chemical
structures
identified.
Moreover,
time
less
than
33.0
h.
brief,
system,
which
integrated
preparation,
is
suitable
has
broad
application
prospects,
especially
complex
components
in
natural
products.
Frontiers in Plant Science,
Journal Year:
2023,
Volume and Issue:
13
Published: Feb. 7, 2023
The
cultivation
and
sale
of
medicinal
plants
are
some
the
main
ways
to
meet
increased
market
demand
for
plant-based
drugs.
Panax
notoginseng
is
a
widely
used
Chinese
material.
growth
accumulation
bioactive
constituents
mainly
depend
on
satisfactory
growing
environment.
Additionally,
occurrence
fraud
means
that
care
should
be
taken
when
purchasing.In
this
study,
we
report
correlation
between
saponins
climate
factors
based
high
performance
liquid
chromatography
(HPLC),
evaluate
influence
quality
P.
notoginseng.
In
addition,
synchronous
two-dimensional
spectroscopy
(2D-COS)
images
near
infrared
(NIR)
data
combined
with
deep
learning
model
were
applied
traceability
geographic
origins
at
two
different
levels
(district
town
levels).The
results
indicated
contents
in
negatively
related
annual
mean
temperature
range.
A
lower
range
favorable
content
saponins.
precipitation
humidity
conducive
Notoginsenoside
R1
(NG-R1),
Ginsenosides
Rg1
(G-Rg1),
Rb1
(G-Rb1),
while
Rd
(G-Rd),
not
case.
Regarding
origins,
classifications
could
successfully
distinguished
through
2D-COS
residual
convolutional
neural
network
(ResNet)
model.
accuracy
training
set,
test
external
validation
achieved
100%,
cross-entropy
loss
function
curves
lower.
This
demonstrated
potential
feasibility
proposed
method
origin
traceability,
even
if
distance
sampling
points
small.The
findings
study
improve
notoginseng,
provide
reference
cultivating
future
alleviate
fraud.
Foods,
Journal Year:
2023,
Volume and Issue:
12(9), P. 1775 - 1775
Published: April 25, 2023
A
machine
vision
system
based
on
a
convolutional
neural
network
(CNN)
was
proposed
to
sort
Amomum
villosum
using
X-ray
non-destructive
testing
technology
in
this
study.
The
fruit
(AFNet)
algorithm
developed
identify
the
internal
structure
for
quality
classification
and
origin
identification
manuscript.
This
model
is
composed
of
experimental
features
villosum.
In
study,
we
adopted
binary
method
twice
consecutive
results
show
that
accuracy,
precision,
specificity
AFNet
were
96.33%,
96.27%,
100.0%,
respectively,
achieving
higher
accuracy
than
traditional
CNN
under
condition
faster
operation
speed.
addition,
can
also
achieve
an
90.60%
places
origin.
multi-category
performed
later
with
consistent
lower
cascaded
CNNs
solution.
With
intelligent
feature
recognition
model,
information
be
determined
technology.
Its
application
will
play
positive
role
improve
industrial
production
efficiency.
Expert Opinion on Drug Delivery,
Journal Year:
2023,
Volume and Issue:
20(5), P. 597 - 620
Published: May 4, 2023
Introduction
Drug
delivery
systems
(DDSs)
formed
by
natural
active
compounds
be
instrumental
in
developing
new
green
excipients
and
novel
DDS
from
(NACs).
'Unification
of
medicines
excipients'(UME),
the
special
inherent
nature
compounds,
provides
inspiration
conduction
to
achieve
this
goal.Areas
covered
This
review
summarizes
typical
types
NACs
herbal
medicine,
such
as
saponins,
flavonoids,
polysaccharides,
etc.
that
act
their
main
application
DDS.
The
comparison
drug
common
materials
primary
formation
mechanisms
these
are
also
introduced
provide
a
deepened
understanding
performance
DDS.Expert
opinion
Many
bioactive
have
been
used
Diversity
structure
pharmacological
effects
turn
out
unique
advantages
improving
DDSs
like
targeting
ability,
adhesion,
encapsulation
efficiency(EE),
enhancing
bioavailability
loaded
drugs.
