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Dimensionally and morphologically driven effects of nanomaterials on the enhancement of electroanalytical sensing performance: A review
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DOI：10.1016/j.trac.2026.119046.png)
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Abstract
En 中文
• Dominant electroanalytical functions classify 0D–3D nanomaterials • 0D and 1D nanomaterials enable active-site and transport control • 2D and 3D architectures regulate interfaces and reaction volumes • Unified criteria compare mechanisms, matrix robustness, and scalability • AI/ML connects materials design, signal interpretation, and validation
Keywords:
nanomaterials
dimensionality-oriented classification
morphology-driven design
electrochemical sensing
environmental
food
biomedical analysis
0D
zero-dimensional
1D
one-dimensional
2D
two-dimensional
3D
three-dimensional
AAS
atomic absorption spectroscopy
ACV
acyclovir
AgNCs
silver nanoclusters
AgNPs
silver nanoparticles
AI
artificial intelligence
ANN
artificial neural network
AuNCs
gold nanoclusters
AuNPs
gold nanoparticles
AuNRs
gold nanorods
BMNPs
bimetallic nanoparticles
BMNWs
bimetallic nanowires
BN
boron nitride
BNQDs
boron nitride quantum dots
CD44
cluster of differentiation 44
CNTs
carbon nanotubes
CoCCPs
cobalt-based conjugated coordination polymers
COF
covalent organic framework
CoNPs
cobalt nanoparticles
CPE
carbon paste electrode
CQDs
carbon quantum dots
CTAB
cetyltrimethylammonium bromide
CuBDC
copper 1,4-benzenedicarboxylate
CuNCs
copper nanoclusters
CuNPs
copper nanoparticles
CV
cyclic voltammetry
CVD
chemical vapor deposition
DA
dopamine
DFT
density functional theory
DMTP
2,5-dimethoxyterephthalaldehyde
DNA
deoxyribonucleic acid
DPV
differential pulse voltammetry
ECL
electrochemiluminescence
EDC
1-ethyl-3-(3-dimethylaminopropyl)carbodiimide
EIS
electrochemical impedance spectroscopy
FA
folic acid
GCE
glassy carbon electrode
GO
graphene oxide
GQDs
graphene quantum dots
HPLC
high-performance liquid chromatography
LAACV
large-amplitude alternating current voltammetry
LC-MS
liquid chromatography-mass spectrometry
LIG
laser-induced graphene
LOD
limit of detection
LYH
layered yttrium hydroxide
MagNPs
magnetic nanoparticles
MDH
methdilazine
MIP
molecularly imprinted polymer
ML
machine learning
MNCs
metal nanoclusters
MOF
metal-organic framework
MWCNTs
multi-walled carbon nanotubes
NADH
reduced nicotinamide adenine dinucleotide
NCs
nanoclusters
NFs
nanofilms
NHCS
N-doped hollow carbon spheres
NHS
N-hydroxysuccinimide
NMs
nanomaterials
NPs
nanoparticles
NRs
nanorods
NSs
nanosheets
NTs
nanotubes
NWs
nanowires
OV
oxygen vacancy
PAMAM
poly(amidoamine)
PDA
polydopamine
PDMS
polydimethylsiloxane
PEC
photoelectrochemical
PEDOT
poly(3,4-ethylenedioxythiophene)
PEG
poly(ethylene glycol)
PG
propyl gallate
PmB
polymyxin B
PMo11V
vanadium-substituted phosphomolybdate (H4PMo11VO40)
QDs
quantum dots
RGB
red–green–blue
rGO
reduced graphene oxide
SEM
scanning electron microscopy
SHAP
SHapley Additive exPlanations
SPCE
screen-printed carbon electrode
SPE
screen-printed electrode
STEM
scanning transmission electron microscopy
SWCNTs
single-walled carbon nanotubes
TAPB
1,3,5-tris(4-aminophenyl)benzene
TCPP
tetrakis(4-carboxyphenyl)porphyrin
TEM
transmission electron microscopy
TET
tetracycline
TMDs
transition-metal dichalcogenides
TNT
2,4,6-trinitrotoluene
TPrA
tripropylamine
UA
uric acid
UV–Vis
ultraviolet-visible
XPS
X-ray photoelectron spectroscopy
XRD
X-ray diffraction
ZIF
zeolitic imidazolate framework
ZLRs
zinc oxide large rods
ZNRs
zinc oxide nanorods
ZSRs
zinc oxide short rods
Journal
IF:
12
Papers:
7.2K
Citations:
3.9W
Organization
Cited Papers