Trends in conductive MOFs for sensing: A review

9review sections

6material families

14review claims

12secondary benchmarks

39cited studies

9research gaps

Review scope

To review conductive MOF materials, construction and integration strategies, composite functionalisation, and sensing mechanisms across electrochemical, chemiresistive, FET, optical, photoelectrochemical, and potentiometric sensor formats.

Coverage: Not stated–2024
Category: Review Transport Physics
Material scope: 2D conductive MOFs · HHTP and CAT frameworks · HITP frameworks · HAB frameworks · TCPP and porphyrinic frameworks · phthalocyanine-based conductive MOFs · conductive MOF composites with metals, enzymes, aptamers, and graphene
Transport scope: through-bond charge transport · through-space pi-stacking transport · band and hopping descriptions · charge carrier density and mobility · heterogeneous electron transfer in electrochemical sensing · thin-film and device-contact effects

Application scope: chemiresistive gas and VOC sensors · electrochemical and cyclic-voltammetry sensors · field-effect transistor sensors · biosensors and aptasensors · electrochemiluminescence and fluorescence sensors · photoelectrochemical sensors · potentiometric ion-selective electrodes
Explicit exclusions: Exhaustive primary synthesis recipes · Primary-data adjudication of each sensor benchmark · Nonconductive MOF sensing literature except as context
Source: 1 · Abstract
Evidence role: Context, taxonomy and secondary benchmarking

Section map

The review’s argument is preserved as a navigable set of section summaries.

Application of conductive MOFs in chemiresistive sensors

5-6

Connects gas and VOC sensing to adsorption, redox reactions, binding-site accessibility, morphology, film deposition, and interface management.

Relevance: Core · 5 · Gas sensors

Conclusions and perspectives

9-10

States gaps in conductivity measurement consistency, synthesis scalability, morphology control, water stability, target interactions, and redox-active ligand development.

Relevance: Core · 9 · Conclusions and perspectives

Construction strategies for conductive MOFs

1-2

Summarises conductivity as a function of carrier density and mobility, with band, hopping, through-bond, through-space, and guest-assisted routes.

Relevance: Core · 1 · Construction strategies for conductive MOFs

Methods for the integration of 2D MOFs into electronic devices

2-3

Reviews drop casting, hydrothermal/direct growth, liquid-phase epitaxy, and microfluidic or solution-shearing approaches for integrating conductive MOF films with devices.

Relevance: Core · 2 · Methods for the integration of 2D MOFs into electronic devices

FET and cyclic-voltammetry sensors

6-8

Explains conductive MOFs as FET channels and electrochemical electrode materials, highlighting substrate contact, anisotropic transport, pore screening, and interference limits.

Relevance: Core · 6 · Application of conductive MOFs in field-effect transistor (FET) sensors

Functionalization strategies of conductive MOFs

4-5

Surveys composites with metal nanoparticles, enzymes, aptamers, and graphene as ways to improve conductivity, selectivity, sensitivity, and structural support.

Relevance: Core · 4 · Functionalization strategies of conductive MOFs

Introduction

Defines MOFs and frames conventional MOFs as often insulating because ligand spacing limits pi-pi stacking and low-energy charge transfer paths.

Relevance: Core · 1 · Introduction

Conductive MOFs commonly used for sensing

1-2

Organises common sensing-relevant conductive MOFs by ligand families including HHTP/CAT, HITP, HAB, TCPP, and phthalocyanine frameworks.

Relevance: Core · 2 · Conductive MOFs commonly used for sensing

Optical, photoelectric chemical, and potentiometric sensing

8-9

Covers ECL/FL, PEC, and ion-selective sensing where conductivity, porosity, channel size, ion-electron conversion, and photoactive ligands matter.

Relevance: Supporting · 9 · Application of conductive MOFs for potentiometric ion detection

Taxonomies

Classification systems are attributed to this review and are not treated as a global material registry.

Charge-Transport Pathway

Conductivity enhancement routes

The review presents through-space pi-stacking, through-bond metal-ligand covalency, and guest-mediated conductive pathways as major routes to improve MOF conductivity.

Categories: through-space approach · through-bonding approach · guest or redox-active species in pores

1 · Introduction; Construction strategies for conductive MOFs · Fig. 2

Functional Additive Or Composite PartnerAuthor-proposed

Conductive-MOF composite modifiers

Composite classes are presented as ways to improve conductivity, selectivity, sensing chemistry, and mechanical or structural support.

Categories: metal nanoparticles · enzymes · aptamers · graphene

4 · Functionalization strategies of conductive MOFs

Charge-Conduction Mechanism

Band versus hopping mechanisms

The review frames conductive MOF charge conduction in terms of band-like and hopping mechanisms, with orbital overlap improving charge mobility.

Categories: band theory · hopping processes

1 · Construction strategies for conductive MOFs

Film Or Device Fabrication RouteAuthor-proposed

2D MOF device-integration routes

The review groups processing approaches by whether MOFs are deposited after synthesis, directly grown on substrates, epitaxially oriented, or formed in scalable microfluidic/shearing platforms.

Categories: drop casting · hydrothermal synthesis · liquid phase epitaxial growth · microfluidic technology · solution shearing

2-3 · Methods for the integration of 2D MOFs into electronic devices

Organic-Linker FamilyAuthor-proposed

Common conductive-MOF ligand families for sensing

The review uses ligand family as the primary material organisation for sensing-relevant conductive MOFs.

Categories: HHTP/CAT · HITP · HAB · TCPP/porphyrin · phthalocyanine

2 · Conductive MOFs commonly used for sensing

Sensor Transduction ModeAuthor-proposed

Conductive-MOF sensing modes

The review classifies applications by transduction mechanism and associates each mode with different roles for charge transport, porosity, redox chemistry, or ion-electron conversion.

Categories: chemiresistive · electrochemical and cyclic voltammetry · field-effect transistor · electrochemiluminescence and fluorescence · photoelectrochemical · potentiometric ion detection

10 · Figures and tables · Fig. 1

Material families

Review-defined families retain their representative materials and conduction descriptions.

Conductive MOF/graphene composites

2D Conductive MOF Or Nanorod Components On Graphene-Family Supports

Hybrid materials combining conductive MOFs with graphene, graphene oxide, or reduced graphene oxide sheets.

Conduction: Graphene supports can provide high carrier mobility and prevent MOF aggregation, but defects, oxidation, roughness, and stacking can increase resistance.

Representative materials: GO/YbHHTP · Cu-CAT@rGO · GO/PDDA/Co3(HITP)2 · Cu-(HHTP)(THQ)@rGO

Nodes / linkers: Yb · Cu · Co · HHTP · CAT · THQ · HITP

5 · Conductive MOF/graphene composites

HAB conductive MOFs

2D Conductive Frameworks; Defective/Amorphous Forms Also Discussed

Hexaaminobenzene-based 2D MOFs, including crystalline and amorphous or missing-linker variants.

Conduction: Small HAB ligands support high-density redox-active frameworks, while defect sites can introduce water-transport mechanisms for humidity sensing.

Representative materials: Ni-HAB · aNi-HAB · Co-HAB · Cu3HIB2

Nodes / linkers: Ni · Co · Cu · HAB · HIB

2 · Benzene-based MOFs

HHTP/CAT conductive MOFs

Mostly 2D Layered Honeycomb Frameworks

Triphenylene catecholate frameworks based on HHTP or CAT-type oxygen donors, often paired with Cu, Ni, or mixed metals.

Conduction: Redox-active catecholate linkers and metal nodes promote charge delocalisation, pi-pi stacking between layers, and high charge density.

Representative materials: Cu3(HHTP)2 · Ni3(HHTP)2 · Ni-CAT-1 · NiCu-CAT

Nodes / linkers: Cu · Ni · Co · Fe · HHTP · CAT

2 · Hexahydroxytriphenyl MOFs

HITP conductive MOFs

2D Stacked Honeycomb Lattice

Hexaiminotriphenylene frameworks where imine/amino nitrogen donors coordinate transition metals in planar honeycomb sheets.

Conduction: The review highlights Ni-N d-pi bonding, D4h coordination, and stacked 2D porous lattices as enabling electron transfer.

Representative materials: Ni3(HITP)2 · Cu3(HITP)2 · Co3(HITP)2 · CoxNi3-x(HITP)2

Nodes / linkers: Ni · Cu · Co · HITP

2 · Hexaiminotriphenylene MOFs · Fig. 3

Phthalocyanine-based conductive MOFs

2D D-Pi Conjugated Frameworks

Conductive frameworks built from metal phthalocyanine units, commonly with Cu linkages and Co or Ni macrocycle centres.

Conduction: Large conjugated MPc backbones and peripheral donor groups promote planar coordination, electronic communication, and high intrinsic conductivity.

Representative materials: MPc-Cu-X · CoPc-O8-Cu · NiPc-O8-Cu · NiPc-Cu-MOF · CoPc-Cu-MOF

Nodes / linkers: Co · Ni · Cu · metal phthalocyanine · MPc

2 · Phthalocyanine-based MOFs · Fig. 6

TCPP and porphyrinic conductive MOFs

2D Or 3D Porphyrinic MOF Motifs Depending On Example

Porphyrin-based MOFs containing aromatic macrocycles and carboxyl groups, often modified with metals or enzymes.

Conduction: Aromatic porphyrin ligands support photoelectric, catalytic, adsorption, and optical responses; metal centres can tune electronic conduction and catalysis.

Representative materials: Cu-TCPP · Cu-TCPP(Fe) · Cu2TCPP · Tyr@Cu-TCPP

Nodes / linkers: Cu · Fe · Pd · Yb · TCPP · porphyrin

2 · Tetraphenylporphyrin MOFs

Synthesis strategies

Review-level synthesis principles remain separate from primary-study recipes.

Enzyme and aptamer biofunctionalisation

Conductive MOFs are used as protective, conductive, high-area scaffolds for enzymes or aptamers that provide molecular recognition.

Claimed effects: Improves biological stability, specificity, and electrochemical signal transduction for biosensing.

Controlling variables: recognition element · MOF surface chemistry · immobilisation stability · biological sample matrix · electron-transfer hindrance

Representative materials: Tyr@Cu-TCPP · CoxNi3-x(HITP)2 · Ru-MOF

Caveat: Aptamer screening, ligand stability, real-sample reliability, and rapid onsite pathogen detection remain immature.

4-5 · Composites of conductive MOFs/enzymes; Conductive MOF/aptamer composites

Drop casting of conductive MOF suspensions

Preformed MOF material is dispersed and applied to electrodes or substrates as a low-barrier route to electronic sensors.

Claimed effects: Fast and simple integration, but prone to insoluble-material problems, crystallinity changes, structural damage, uneven film thickness, and limited mechanical stability.

Controlling variables: solvent dispersion · drop volume · film uniformity · substrate electrode geometry

Representative materials: Cu3(HHTP)2 · Cu3(HITP)2 · Ni3(HITP)2

Caveat: The review treats this as convenient but inferior for controlled thin-film transport and reproducible device contact.

3 · Drop casting method

Graphene and reduced-graphene-oxide supports

Graphene-family supports are combined with conductive MOFs to promote electron transfer, mechanical support, active-site exposure, and anti-aggregation.

Claimed effects: Can improve conductivity and sensor response by coupling high carrier mobility supports with porous MOF activity.

Controlling variables: graphene oxidation state · stacking and aggregation · polymer intercalation · surface roughness · reduction conditions

Representative materials: GO/YbHHTP · GO/PDDA/Co3(HITP)2 · Cu-CAT@rGO

Caveat: Stacking, grain boundaries, defects, oxide traps, and roughness can reduce performance and require optimisation.

5 · Conductive MOF/graphene composites

Hydrothermal synthesis and direct substrate integration

MOF crystals or films are grown under solvothermal or hydrothermal conditions, sometimes directly on device substrates or supports.

Claimed effects: Improves crystallisation and can form uniform MOF crystals or integrated films; direct integration can improve contact and sensing performance.

Controlling variables: temperature · pressure · reaction medium · substrate chemistry · reaction-system parameters

Representative materials: GO/YbHHTP · Ni/Co(HHTP)MOF/CC · Ni3(HITP)2

Caveat: Conventional post-synthesis dripping is still common, and direct integration examples are fewer.

3 · Hydrothermal synthesis

Liquid-phase epitaxy and surface-templated growth

Chemically anchored substrates are used to template oriented MOF layers with controlled thickness and crystallographic orientation.

Claimed effects: Produces consistent coatings and oriented interfaces that can improve analyte detection and reduce interference.

Controlling variables: substrate functional groups · crystal orientation · film thickness · surface chemistry

Representative materials: Cu3(HHTP)2 · conductive MOF nanofilms

Caveat: Requires substrate- and MOF-specific design; sequential deposition can be slow and automation is needed.

3 · Liquid phase epitaxial growth

Metal nanoparticle and bimetallic MOF functionalisation

Metal nanoparticles or bimetallic centres are combined with conductive MOFs to improve electron transfer, adsorption, catalytic activity, and sensor amplification.

Claimed effects: Enhances sensitivity, stability, catalytic activity, and controllability relative to pure conductive MOFs.

Controlling variables: metal identity · loading · dispersion · active-site exposure · metal ratio

Representative materials: Pt@Cu3(HHTP)2 · Au/Pt-loaded Co3(HITP)2 · Ni/Co(HHTP)MOF/CC

Caveat: Gas-sensor examples still face thin-film fabrication burdens, selectivity issues, high metal loading, and nanoenzyme design challenges.

4 · Composites of conductive MOFs/metal materials

Microfluidic and solution-shearing film formation

Microfluidic control and meniscus or solution shearing are combined to form large-area, thin, controlled conductive MOF films and catalyst-containing films.

Claimed effects: Addresses directional crystal growth, thickness control, high-throughput manufacturing, and catalytic enhancement for gas sensing.

Controlling variables: meniscus movement · heated substrate · microchannel geometry · nanocatalyst dispersion · post-synthesis rapid crystallisation

Representative materials: Pt@Cu3(HHTP)2 · Ni3(HITP)2

Caveat: Large MOF dimensions, catalyst integration, and scalable high-quality film formation remain problematic.

3 · Microfluidic technology · Fig. 7

Direct self-assembly on textile or polymer device structures

Conductive MOFs are self-assembled directly on fibres, textiles, or patterned polymer/electrode structures to create chemiresistive devices.

Claimed effects: Can maintain flexible textile function, simplify processing, provide direct electrode contact, and enable gas detection in wearable or patterned formats.

Controlling variables: fibre surface · template growth solution · electrode pattern · washing and regeneration

Representative materials: Ni3(HITP)2 · Ni3(HHTP)2

Caveat: The review does not resolve long-term device stability across complex operating environments.

3 · Hydrothermal synthesis

Review claims

These are the review authors’ synthesis, not newly measured results.

Author InterpretationHigh supportStructure Property Link

Planar 2D pi-conjugated MOF sheets are presented as especially effective conductive frameworks because metal-ligand pi-d interactions and delocalisation support high conductivity.

Evidence basis: multi_reference

Caveat: The review is descriptive and does not adjudicate anisotropy or defect effects in each material.

2 · Conductive MOFs commonly used for sensing

DescriptiveHigh supportTransport Mechanism

For gas sensing, conductive MOFs are described as transducing adsorption, absorption, or catalysis into resistance changes through framework interactions and redox processes.

Evidence basis: multi_reference

Caveat: The review stresses that surface area, binding-site accessibility, selectivity, and morphology also govern response.

5 · Gas sensors

Consensus SummaryHigh supportMaterial Comparison

Composites with metals, enzymes, aptamers, and graphene can enhance selectivity, sensitivity, stability, conductivity, and catalytic activity, but introduce added processing and attribution complexity.

Evidence basis: multi_reference

Caveat: The review is application-focused and generally does not separate intrinsic MOF conduction from composite contributions.

4 · Functionalization strategies of conductive MOFs

Consensus SummaryHigh supportTransport Mechanism

Conductive-MOF performance is interpreted through charge-carrier density and mobility; high conductivity requires both abundant weakly bound carriers and efficient charge transfer.

Evidence basis: multi_reference

Caveat: The review later warns that measured conductivity and mobility values can be misleading across methods and sample forms.

1 · Construction strategies for conductive MOFs

Consensus SummaryHigh supportDefinition Scope

The review frames ordinary porous MOFs as commonly insulating because ligand spacing suppresses effective pi-pi stacking and low-energy charge-transfer pathways.

Evidence basis: multi_reference

Caveat: This is a broad review framing and does not replace primary conductivity measurements.

1 · Introduction

Author InterpretationHigh supportCaveat

Electrochemical MOF sensing is attractive for fast, low-cost analysis but remains vulnerable to interfering electroactive species, pH effects, and competitive species.

Evidence basis: review_reasoning

Caveat: Claim is the review authors' synthesis across electrochemical examples.

8 · Biosensors

DescriptiveHigh supportApplication Relevance

In FET sensors, conductive MOFs can serve as channel materials bridging source and drain electrodes while also providing pore-based recognition or screening.

Evidence basis: multi_reference

Caveat: Large-area undamaged films and stable electrode contact remain unresolved.

6 · Application of conductive MOFs in field-effect transistor (FET) sensors

Author InterpretationHigh supportStructure Property Link

The review repeatedly links sensor performance to film morphology, deposition method, gas diffusion, electrode interfaces, and MOF/composite hybridisation.

Evidence basis: multi_reference

Caveat: Mechanistic details differ by analyte, device format, and film geometry.

6 · Gas sensors

DescriptiveMedium supportTransport Mechanism

Guest molecules or nanoclusters can create new charge pathways or free charges in MOFs, but the review treats this as an extrinsic strategy rather than intrinsic framework conduction.

Evidence basis: multi_reference

Caveat: Useful for conductivity enhancement but may complicate attribution of transport to the MOF lattice itself.

1 · Construction strategies for conductive MOFs

Author InterpretationMedium supportStructure Property Link

Sensing ligands are described as needing conductivity, aromatic conjugation, active sites, analyte affinity, and chemical/thermal stability.

Evidence basis: single_reference

Caveat: This is a design heuristic rather than a measured universal rule.

2 · Conductive MOFs commonly used for sensing

Author InterpretationHigh supportMeasurement Interpretation

The review explicitly warns that conductivity and charge-mobility comparisons can be deceptive because measurement methods, contact effects, anisotropy, inhomogeneity, sample form, and temperature matter.

Evidence basis: multi_reference

Caveat: This caveat is especially relevant when using review tables for chapter benchmarks.

9 · Conclusions and perspectives

Author InterpretationMedium supportTransport Mechanism

The review presents 2D conductive MOFs as promising PEC photoactive materials because conductive ligands help absorb light, separate charge, and inhibit electron-hole recombination.

Evidence basis: multi_reference

Caveat: Poor selectivity from nonspecific photocatalysis remains a key limitation for PEC sensors.

9 · Application of conductive MOFs in photoelectric chemical sensing detection

DescriptiveHigh supportApplication Relevance

Conductive MOFs are described as ion-to-electron transducers in potentiometric sensors because they combine electrical conductivity, capacitance, low contact resistance, and porous interfacial area.

Evidence basis: multi_reference

Caveat: The discussion is brief relative to electrochemical and chemiresistive sensing.

9 · Application of conductive MOFs for potentiometric ion detection

Author InterpretationHigh supportCaveat

The review identifies large-scale synthesis, solvent/temperature burdens, morphology and pore-geometry control, water stability, and reproducibility as major barriers to conductive-MOF sensing.

Evidence basis: single_reference

Caveat: This is an outlook-level synthesis, not a quantified comparison across all materials.

10 · Conclusions and perspectives

Secondary benchmarks

Every row remains visibly secondary and links to a primary dossier only where the mapping is verified.

Material	Property	Reported value	Context and quality	Primary evidence	Review source
SecondaryCoPc-Cu	nifedipine detection limit	6.0 nM	electrochemical sensor; NIF tablets; linear range 0.01-92.55 uM Table · Exact Reported	research_0875	18 · Figures and tables · Table 1
SecondaryCoxNi3-x(HITP)2	enrofloxacin detection limit	0.2 fg mL^-1	aptasensor for ENR Table · Exact Reported	No verified corpus mapping	18 · Figures and tables · Table 1
SecondaryCu-MOF/CF	glucose detection limit	0.076 uM	electrochemical sensor; human serum; linear range 0.001-0.95 mM Table · Exact Reported	research_0805	18 · Figures and tables · Table 1
SecondaryNi-HAB	Li+ potentiometric detection limit	9.94 x 10^-7 M	potentiometric ion detection Table · Exact Reported	No verified corpus mapping	18 · Figures and tables · Table 1
SecondaryNi3(HITP)2	ascorbic acid detection limit	1 uM	electrochemiluminescent sensor; human sweat; linear range 2-200 uM Table · Exact Reported	No verified corpus mapping	18 · Figures and tables · Table 1
SecondaryNi3(HITP)2	H2S detection limit	3 ppb	chemical resistance sensor; H2S; linear range 0.1-10 ppm Table · Exact Reported	research_0124	18 · Figures and tables · Table 1
SecondaryNi-MOF@Ni-HHTP-5	glucose detection limit	0.02 uM	electrochemical sensor; linear range 0.5-2665.5 uM Table · Exact Reported	No verified corpus mapping	18 · Figures and tables · Table 1
Secondary[NixCo9-x(HHTP)4(H2O)30]	miRNA-141 detection limit	0.69 fM	electrochemiluminescent sensor; lysates from 22Rv1 and MCF-7 cells; linear range 1 fM-10 nM Table · Exact Reported	research_0008	19 · Figures and tables · Table 2
SecondaryNiPc-Cu-MOF	N-acetyl-L-cysteine detection limit	50 nM	photoelectrochemical sensing; N-acetylcysteine tablets and capsules; linear range 0.0125-42.5 uM Table · Exact Reported	No verified corpus mapping	19 · Figures and tables · Table 2
Secondaryordinary porous MOFs	typical electrical conductivity	<10^-10 S cm^-1	general statement for most nonconductive MOFs Text · Approximate	No verified corpus mapping	1 · Introduction
SecondaryRu@Cu3(HHTP)2	CRP detection limit	0.26 pg/mL	electrochemiluminescent sensor; human serum; linear range 0.005-50 ng/mL Table · Exact Reported	No verified corpus mapping	19 · Figures and tables · Table 2
SecondaryZn-HHTP	CO detection limit	10 ppm	FET sensor; CO; linear range 10-100 ppm Table · Exact Reported	research_0153	18 · Figures and tables · Table 1

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Ref. 1472021	Cu-Based Conductive MOF Grown in situ on Cu Foam as a Highly Selective and Stable Non-Enzymatic Glucose Sensor10.3389/fchem.2021.786970	secondary_benchmark_source · glucose_sensingCited for Cu-MOF grown on copper foam for non-enzymatic glucose sensing.	research_0805
Ref. 1492022	Turning coordination environment of 2D nickel-based metal-organic frameworks by pi-conjugated molecule for enhancing glucose electrochemical sensor performance10.1016/j.mtchem.2022.100885	secondary_benchmark_source · dual_ligand_strategyCited for dual-ligand HHTP coordination tuning in Ni-MOF glucose electrochemical sensing.	Unmapped
Ref. 1532022	Phthalocyanine-Based Two-Dimensional Conductive Metal-Organic Framework as Electrochemical Sensor for Highly Sensitive Detection of Nifedipine10.1149/1945-7111/ac60ec	phthalocyanine_mof · secondary_benchmark_sourceCited for CoPc-Cu-MOF/GCE electrochemical detection of nifedipine.	research_0875
Ref. 1602022	Conductive NiCo bimetal-organic framework nanorods with conductivity-enhanced electrochemiluminescence for constructing biosensing platform10.1016/j.snb.2022.131802	ECL · secondary_benchmark_sourceCited for bimetallic conductive MOF nanorod ECL miRNA-141 sensing.	research_0008
Ref. 1622023	Electrochemiluminescence resonance energy transfer between Ru(bpy)32+@Cu3(HHTP)2 and GO-Au composites for C-reactive protein detection10.1016/j.talanta.2023.124709	ECL · secondary_benchmark_sourceCited for Ru(bpy)3-loaded Cu3(HHTP)2 ECL CRP detection.	Unmapped
Ref. 1732014	Photoelectrochemical bioanalysis: A mini review10.1016/j.elecom.2013.10.035	PEC_reviewCited for low-background and sensitivity benefits of PEC sensing.	Unmapped
Ref. 1752022	Conductive 2D phthalocyanine-based metal-organic framework as a photoelectrochemical sensor for N-acetyl-L-cysteine detection10.1016/j.snb.2022.132028	PEC_sensing · secondary_benchmark_sourceCited for conductive phthalocyanine NiPc-Cu-MOF PEC detection of N-acetyl-L-cysteine.	Unmapped
Ref. 1772022	Highly stable Li+ selective electrode with metal-organic framework as ion-to-electron transducer10.1016/j.snb.2021.130799	potentiometric_sensing · secondary_benchmark_sourceCited for Ni-HAB as a solid-contact ion-to-electron transducer in Li+ selective electrodes.	Unmapped
Ref. 1792018	Conductive Metal-Organic Frameworks as Ion-to-Electron Transducers in Potentiometric Sensors10.1021/acsami.8b03956	potentiometric_sensing · ion_electron_transductionCited for conductive MOFs converting ion-concentration changes into electrode potential changes.	research_0842
Ref. 1842012	Electrical conductive coordination polymers10.1039/c1cs15092h	measurement_caveat · conductive_coordination_polymersCited for the warning that conductivity or mobility comparisons can be deceptive across measurement methods and sample forms.	Unmapped
Ref. 1852019	2D molecular crystal lattices: advances in their synthesis, characterization, and application10.1039/c9ta06534b	synthesis_challenge · morphology_controlCited for synthesis, morphology, and pore-geometry limitations in conductive MOF sensing.	Unmapped