Foods,
Journal Year:
2024,
Volume and Issue:
13(24), P. 4154 - 4154
Published: Dec. 22, 2024
Chlorella
vulgaris,
a
unicellular
green
microalga,
has
obtained
significant
attention
due
to
its
high
protein
content,
abundance
of
bioactive
compounds,
and
broad
biotechnological
potential.
Used
in
nutraceuticals,
pharmaceuticals,
functional
foods,
it
is
now
gaining
traction
cosmetics,
biopharmaceuticals,
environmental
applications.
Recent
advancements
fermentation
technology,
such
as
the
development
high-density
strategies,
adaptive
evolution
strains,
real-time
monitoring
systems,
have
greatly
improved
efficiency,
scalability,
sustainability
C.
vulgaris
production,
enhancing
bioavailability
product
quality.
This
review
explores
developments
fermentation,
highlighting
strain
improvement
through
genetic
engineering,
metabolic
optimization,
mutagenesis,
evolution,
alongside
bioprocess
engineering
optimization
parameters.
Key
considerations
include
bioreactor
design,
downstream
processing,
innovative
technologies
aimed
at
maximizing
biomass
yield
compound
production.
Emerging
applications
fermented
across
industries
are
also
highlighted,
along
with
future
perspectives
on
scaling
up
addressing
regulatory
challenges,
ensuring
biosafety.
These
insights
provide
comprehensive
outlook
Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(11), P. 1143 - 1143
Published: Nov. 13, 2024
This
review
examines
the
increasing
application
of
artificial
intelligence
(AI)
and/or
machine
learning
(ML)
in
microalgae
processes,
focusing
on
their
ability
to
improve
production
efficiency,
yield,
and
process
control.
AI/ML
technologies
are
used
various
aspects
such
as
real-time
monitoring,
species
identification,
optimization
growth
conditions,
harvesting,
purification
bioproducts.
Commonly
employed
ML
algorithms,
including
support
vector
(SVM),
genetic
algorithm
(GA),
decision
tree
(DT),
random
forest
(RF),
neural
network
(ANN),
deep
(DL),
each
have
unique
strengths
but
also
present
challenges,
computational
demands,
overfitting,
transparency.
Despite
these
hurdles,
shown
significant
improvements
system
performance,
scalability,
resource
well
cutting
costs,
minimizing
downtime,
reducing
environmental
impact.
However,
broader
implementations
face
obstacles,
data
availability,
model
complexity,
scalability
issues,
cybersecurity
threats,
regulatory
challenges.
To
address
solutions,
use
simulation-based
data,
modular
designs,
adaptive
models,
been
proposed.
contributes
literature
by
offering
a
thorough
analysis
practical
applications,
benefits
critical
insights
into
this
fast-evolving
field.
Environmental Science Advances,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
review
emphasizes
the
unique
adaptability
mechanism
of
pH-resilient
algae,
which
can
be
used
for
a
variety
biotechnological
applications
critical
to
accelerating
transition
sustainable
algae-based
economy.
IntechOpen eBooks,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 14, 2025
Microalgae
are
photosynthetic
microorganisms
that
produce
a
wide
range
of
biocompounds,
such
as
proteins,
omega-3
fatty
acids
or
pigments
like
astaxanthin;
with
various
applications
in
the
pharmaceutical,
cosmetic,
bioenergy
and
food
sectors.
This
chapter
provides
an
overview
compounds
molecules
synthesized
by
microalgae,
ranging
from
polysaccharides
to
vitamins,
minerals
other
secondary
metabolites.
Additionally,
reviews
key
biological
aspects
influence
production
including
strain
selection,
improvement
cultivation
conditions,
well
biotechnological
factors
necessary
optimize
processing
these
compounds,
system,
extraction
purification.
Lastly,
presents
main
commercially
relevant
microalgae-derived
emphasizing
most
notable
microalgae-based
products
currently
being
developed
global
market.
Marine Drugs,
Journal Year:
2025,
Volume and Issue:
23(2), P. 86 - 86
Published: Feb. 17, 2025
Marine
phytoplankton
is
an
emerging
source
of
immunomodulatory
bioactive
lipids
(BLs).
Under
physiological
growth
conditions
and
upon
stress
challenges,
several
eukaryotic
microalgal
species
accumulate
lipid
metabolites
that
resemble
the
precursors
animal
mediators
inflammation:
eicosanoids
prostaglandins.
Therefore,
marine
could
serve
as
a
biotechnological
platform
to
produce
functional
BLs
with
therapeutic
applications
in
management
chronic
inflammatory
diseases
other
clinical
conditions.
However,
be
commercially
competitive,
lipidic
precursor
yields
should
enhanced.
Beside
tailoring
cultivation
native
producers,
genetic
engineering
feasible
strategy
accrue
production
introduce
heterologous
biosynthetic
pathways
hosts.
Here,
we
present
state-of-the-art
research
on
from
discuss
synthetic
biology
approaches
boost
their
light-driven
biosynthesis.
Royal Society Open Science,
Journal Year:
2025,
Volume and Issue:
12(4)
Published: April 1, 2025
Algae
are
recognized
for
their
potential
in
biofuel
production
due
to
high
biomass
yield,
protein
and
lipid.
This
study
investigates
the
influence
of
pH,
temperature,
light
intensity,
colour
CO2
concentration
on
biochemical
composition
five
algal
genera
(Chlorella,
Botryococcus,
Chlamydomonas,
Tetraselmis
Closterium).
Algal
samples
were
isolated
from
aquatic
environments
KPK-Pakistan
cultured
under
controlled
conditions.
Environmental
variables
systematically
varied:
concentration.
Biochemical
analyses
revealed
ranging
0.2
2.1
g
l-1,
lipids
7.2-24.5%
proteins
8-49.5%,
with
optimal
conditions
pH
7,
30°C,
red
light,
3000
lux
9%
CO₂.
Machine
learning
was
applied
optimize
environmental
conditions,
random
forest
(RF)
identified
as
most
effective
model.
A
novel
metric,
W_new,
combining
performance
error
metrics,
facilitated
robust
model
evaluation
hyperparameter
tuning.
The
model's
feature
importance
analysis
ranked
CO₂
influential
factors.
RF
achieved
R²
scores
0.686
(training)
0.534
(validation),
demonstrating
strong
predictive
performance.
integrates
experimental
computational
approaches,
providing
a
detailed
framework
optimizing
cultivation.
We
highlighted
utility
machine
enhancing
lipid
productivity,
advancing
sustainable
biofuel.
Foods,
Journal Year:
2025,
Volume and Issue:
14(10), P. 1783 - 1783
Published: May 17, 2025
Microalgae
are
capable
of
synthesizing
a
diverse
range
biologically
active
compounds,
including
omega-3
fatty
acids,
carotenoids,
proteins,
and
polysaccharides,
which
demonstrate
significant
value
in
the
fields
functional
foods,
innovative
pharmaceuticals
high-value
cosmetics.
With
advancements
biotechnology
increasing
demand
for
natural
products,
studies
on
components
algae
have
made
strides.
However,
commercial
utilization
algal
bioactives
still
faces
challenges,
such
as
low
cultivation
efficiency,
limited
component
identification,
insufficient
health
evaluation.
Artificial
intelligence
(AI)
has
recently
emerged
transformative
tool
to
overcome
these
technological
barriers
production,
characterization,
application
bioactive
ingredients.
This
review
examines
multidimensional
mechanisms
by
AI
enables
optimizes
processes:
(1)
AI-powered
predictive
models,
integrated
with
machine
learning
algorithms
(MLAs),
Industry
4.0,
other
advanced
digital
systems,
support
real-time
monitoring
control
intelligent
bioreactors,
allowing
accurate
forecasting
yields
market
demand.
(2)
facilitates
in-depth
analysis
gene
regulatory
networks
key
metabolic
pathways,
enabling
precise
over
biosynthesis
targeted
compounds.
(3)
AI-based
spectral
imaging
image
recognition
techniques
enable
rapid
reliable
classification,
quality
assessment
components.
(4)
accelerates
transition
from
mass
production
development
personalized
medical
nutritional
products.
Collectively,
demonstrates
immense
potential
enhancing
yield,
refining
expanding
scope
bioactives,
unlocking
new
opportunities
across
multiple
industries.
