In
this
era
of
globalisation
and
pandemics,
automation
in
clinical
laboratories
is
huge
demand
as
it
enhances
the
workflow
process.
Laboratory
one
field
which
does
not
remain
untouched
when
comes
to
diagnosis
chronic
diseases
like
tuberculosis
augments
long
list
tests
are
current
use.
Mycobacterium
spp.
specially
Mtb
slow
growing
bacterium
requires
a
waiting
time
till
can
be
made
could
result
high
mortality
evident
from
large
number
people
who
die
due
tuberculosis.
The
mycobacteriology
tends
fasten
process
help
reduction
economic
burden
on
developing
countries
where
these
endemic.
Various
automated
methods
have
been
introduced,
detecting
spp.,
covering
spectrum
microscopy
molecular
methods.
This
chapter
addresses
need
for
along
with
various
technologies
brought
revolution
cure.
Computational and Structural Biotechnology Journal,
Journal Year:
2022,
Volume and Issue:
20, P. 5364 - 5377
Published: Jan. 1, 2022
Over
the
past
decades,
conventional
methods
and
molecular
assays
have
been
developed
for
detection
of
tuberculosis
(TB).
However,
these
techniques
suffer
limitations
in
identification
Mycobacterium
(Mtb),
such
as
long
turnaround
time
low
sensitivity,
etc.,
not
even
mentioning
difficulty
discriminating
antibiotics-resistant
Mtb
strains
that
cause
great
challenges
TB
treatment
prevention.
Thus,
with
easy
implementation
rapid
diagnosis
infection
are
high
demand
routine
diagnosis.
Due
to
label-free,
low-cost
non-invasive
features,
surface
enhanced
Raman
spectroscopy
(SERS)
has
extensively
investigated
its
potential
bacterial
pathogen
identification.
at
current
stage,
few
studies
recruited
handheld
spectrometer
discriminate
sputum
samples
or
without
Mtb,
separate
pulmonary
from
extra-pulmonary
strains,
profile
different
antibiotic
resistance
characteristics.
In
this
study,
we
a
set
supervised
machine
learning
algorithms
dissect
SERS
spectra
generated
via
focus
on
deep
algorithms,
through
which
were
successfully
differentiated
(5-fold
cross-validation
accuracy
=
94.32%).
Meanwhile,
isolated
effectively
separated
99.86%).
Moreover,
drug-resistant
profiles
also
competently
distinguished
99.59%).
Taken
together,
concluded
that,
assistance
application
point-of-care
infections
future.
Frontiers in Microbiology,
Journal Year:
2022,
Volume and Issue:
13
Published: May 31, 2022
Tuberculosis
(TB)
is
a
life-threatening
infectious
disease
caused
by
Mycobacterium
tuberculosis
(M.
tuberculosis)
.
Timely
diagnosis
and
effective
treatment
are
essential
in
the
control
of
TB.
Conventional
smear
microscopy
still
has
low
sensitivity
unable
to
reveal
drug
resistance
this
bacterium.
The
traditional
culture-based
time-consuming,
since
usually
results
available
after
3–4
weeks.
Molecular
biology
methods
fail
differentiate
live
from
dead
M.
,
while
diagnostic
immunology
distinguish
active
latent
In
view
these
limitations
existing
detection
techniques,
addition
continuous
emergence
multidrug-resistant
extensively
drug-resistant
TB,
recent
years
there
been
an
increase
demand
for
simple,
rapid,
accurate
economical
point-of-care
approaches.
This
review
describes
development,
evaluation,
implementation
conventional
TB
rapid
new
approaches
Diagnostics,
Journal Year:
2023,
Volume and Issue:
13(1), P. 155 - 155
Published: Jan. 2, 2023
Loop-mediated
isothermal
amplification
is
a
promising
candidate
for
the
rapid
detection
of
Mycobacterium
tuberculosis.
However,
high
potential
carry-over
contamination
main
obstacle
to
its
routine
use.
Here,
closed
tube
LAMP
was
intended
visual
Mtb
compare
turbidimetric
and
two
more
favorable
colorimetric
methods
using
calcein
hydroxy
naphthol
blue
(HNB).
Additionally,
less
studied
dye
(i.e.,
eriochrome
black
T
(EBT))
optimized
in
detail
reaction
first
time.
purified
DNA
30
clinical
specimens
were
used
respectively
determine
analytical
diagnostic
sensitivities
each
method.
The
method
resulted
best
sensitivity
(100
fg
DNA/reaction),
specificity
(100%),
time-to-positivity
test
(15
min).
this
highly
prone
subjective
error
reading
results.
Moreover,
HNB-,
calcein-,
EBT-LAMP
could
detect
100
fg,
1
pg,
pg
DNA/reaction
(the
sensitivities)
30,
15,
min,
while
93.3%
100%
them
all.
Interestingly,
showed
lowest
This
report
helps
judiciously
choose
most
appropriate
method,
taking
step
forward
toward
field
applicability
Mtb,
particularly
resource-limited
settings.
PeerJ,
Journal Year:
2025,
Volume and Issue:
13, P. e18830 - e18830
Published: Jan. 24, 2025
In
this
work,
we
investigated
individual
bacteria
M.
tuberculosis
belonging
to
strains
of
the
Beijing
family
with
different
drug
sensitivity
(sensitive,
multi
and
extensive
drug-resistant)
by
surface-enhanced
Raman
spectroscopy
(SERS)
in
fingerprint
region.
The
latter
is
focused
on
spectral
bands,
which
correspond
a
set
glutathione
bands
DNA
methylation
patterns
revealed
due
5-methylcytosine
biomarkers.
It
shown
that
these
features
can
be
correlated
methylation.
Thus,
since
kind
diagnostics
fast
operates
cells,
it
considered
promising
tool,
significantly
shortens
time
required
for
strain’s
type
identification
necessary
prescribe
adequate
therapy.
Frontiers in Veterinary Science,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 28, 2025
The
Mycobacterium
tuberculosis
complex
(MTBC)
including
bovis
(
M.
),
which
primarily
affects
animal
hosts;
however,
it
is
also
capable
of
causing
zoonotic
infections
in
humans.
Direct
contact
with
infected
animals
or
their
products
the
primary
mode
transmission.
However,
recent
research
suggests
that
can
be
shed
into
environment,
potentially
playing
an
under-recognized
role
pathogen’
spread.
Further
investigation
indirect
transmission
,
employing
a
One
Health
approach,
necessary
to
evaluate
its
epidemiological
significance.
current
methods
are
not
optimized
for
identifying
environmental
samples.
Nevertheless,
study,
combination
molecular
techniques,
next-generation
sequencing
(NGS),
was
able
detect
DNA
environment
investigate
questions.
aim
this
study
was,
therefore,
apply
culture-independent
methods,
such
as
targeted
NGS
(tNGS),
pathogenic
mycobacteria,
water
sources
located
rural
area
KwaZulu-Natal
(KZN),
South
Africa.
This
selected
based
on
high
burden
MTBC
human
and
populations.
Water
samples
from
63
sites
were
screened
by
extracting
performing
hsp65
PCR
amplification,
followed
Sanger
amplicon
(SAS).
Sequences
compared
National
Centre
Biotechnology
Information
(NCBI)
database
genus
species-level
identification.
Samples
confirmed
contain
mycobacterial
underwent
multiple
PCRs
rpoB
MAC
)
Oxford
Nanopore
Technologies
(ONT)
tNGS.
ONT
tNGS
consensus
sequences
curated
in-house
identify
mycobacteria
genus,
species,
species
(e.g.,
MTBC)
level
each
sample
site.
Additional
screening
performed
using
GeneXpert®
MTB/RIF
Ultra
(GXU)
qPCR
assay.
Based
GXU,
SAS,
results,
present
12
sites.
presence
at
4
downstream
polymerase
chain
reaction
(PCR)-based
methods.
further
studies
required
determine
if
viable.
These
results
support
shared
may
play
TB
epidemiology.
