Next Article in Journal
Preliminary Study on Sensor-Based Detection of an Adherent Cell’s Pre-Detachment Moment in a MPWM Microfluidic Extraction System
Next Article in Special Issue
Electrospun (La,Ba)FeO3 Nanofibers as Materials for Highly Sensitive VOC Gas Sensors
Previous Article in Journal
Using Wearable Devices to Examine the Associations of Sedentary Behavior with Perceived and Performance Fatigability Among Older Adults: The Study of Muscle, Mobility and Aging (SOMMA)
Previous Article in Special Issue
Research on Binary Mixed VOCs Gas Identification Method Based on Multi-Task Learning
 
 
Review
Peer-Review Record

Conducting Polymers-Based Gas Sensors: Principles, Materials, and Applications

Sensors 2025, 25(9), 2724; https://doi.org/10.3390/s25092724
by Rongqing Dong 1,2, Mingna Yang 1,2, Yinxiu Zuo 2,*, Lishan Liang 1,2, Huakun Xing 2,3, Xuemin Duan 2,4 and Shuai Chen 1,2,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Sensors 2025, 25(9), 2724; https://doi.org/10.3390/s25092724
Submission received: 30 March 2025 / Revised: 21 April 2025 / Accepted: 24 April 2025 / Published: 25 April 2025
(This article belongs to the Special Issue Recent Advances in Sensors for Chemical Detection Applications)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This review surveys conducting polymer gas sensors, clearly explaining transduction mechanisms, materials synthesis, and diverse applications. It integrates recent advances and outlines future directions—miniaturization, AI‑enabled analysis, flexible platforms—offering valuable guidance, though critical comparison with competing sensing technologies would strengthen impact. The paper is easy to follow. Some minor concerns require attention in the revision process.

 

  1. The review asserts that conducting‑polymer (CP) sensors deliver “extremely high sensitivity” and “excellent selectivity” at low cost compared with metal‑oxide or MOF devices, yet no side‑by‑side quantitative benchmarks (limit of detection, response/recovery time, energy draw) are supplied. Could the authors include comparative tables or a meta‑analysis to substantiate these superiority claims?
  2. The optical‑sensing subsection cites only a handful of demonstrations and omits many recent advances—e.g., plasmon‑enhanced CP fluorophores, waveguide‑integrated CP interferometers, and cavity‑coupled absorption sensors. Would the authors expand this section with a systematic literature survey (2019‑2025) that tabulates key architectures, figures‑of‑merit, and application domains to give readers a complete state‑of‑the‑art snapshot? ​The following papers may of interest to authors. 10.1364/OE.444323, 10.1021/acsami.3c18702
  3. Long‑term stability and humidity‑induced drift are acknowledged as persistent obstacles, but the manuscript offers only qualitative comments. What are the dominant chemical or mechanical degradation pathways (e.g., dedoping, backbone oxidation, water sorption) and what quantitative lifetime data exist from accelerated‑aging or field trials?
  4. Wearable and biomedical applications are highlighted, but the review omits any assessment of biocompatibility, toxicology, or regulatory requirements for prolonged skin contact or implantation of CP materials. What data and standards (ISO 10993, FDA class definitions, etc.) support the safe translation of these sensors to human use? Need more clarification.

Author Response

Response to the reviewer1’s comments

Firstly, we deeply appreciate the reviewer for the hard work on our manuscript. Those comments are all valuable and very helpful for revising and improving our paper. Below you will find our point-by-point response to your comments (Answers are marked in red):

*********************************************************************

Reviewer 1’s comments:

This review surveys conducting polymer gas sensors, clearly explaining transduction mechanisms, materials synthesis, and diverse applications. It integrates recent advances and outlines future directions—miniaturization, AI‑enabled analysis, flexible platforms—offering valuable guidance, though critical comparison with competing sensing technologies would strengthen impact. The paper is easy to follow. Some minor concerns require attention in the revision process.

Response: Thank you very much for your keen and professional identification of our article.

1.The review asserts that conducting‑polymer (CP) sensors deliver “extremely high sensitivity” and “excellent selectivity” at low cost compared with metal‑oxide or MOF devices, yet no side‑by‑side quantitative benchmarks (limit of detection, response/recovery time, energy draw) are supplied. Could the authors include comparative tables or a meta‑analysis to substantiate these superiority claims?

Response: Thank you for this critical comment. This is of great significance for us to further optimize the statement.

It should be pointed that metal oxides, metal-organic frameworks (MOFs), and conductive polymers are all having large and complex material systems, and each type of them shows great performance differences and special application characteristics. Also, due to the different synthesis processes, microstructures, and action mechanisms of each system, their performances are often affected by many factors not only just in preparation conditions and application scenarios. Therefore, it is difficult to conduct a comprehensive and direct comparison of different type of material systems through a single standard or form. In the future, we or other researchers in this field will continue to pay attention to this aspect and deepen our understanding of broad material systems. Maybe, a much longer, more comprehensive and special review about this topic can be find in the future. At this stage, after repeated deliberation and strict check, we have refreshed these inappropriate expressions and provides a new statement in the revised “Introduction” section, as following:

“Metal oxides and metal-organic frameworks (MOFs) have shown excellent adsorption and selective detection performances towards gas sensing, but they often need to work under high temperature conditions [14, 15]. In contrast, the great advantages of CPs in this field are that they can work at room temperature, quickly respond to gases through intermolecular interactions, enable solution processing, have low power consumption, as well as be suitable for flexible integration andportable monitoring [16].”

  1. The optical‑sensing subsection cites only a handful of demonstrations and omits many recent advances—e.g., plasmon‑enhanced CP fluorophores, waveguide‑integrated CP interferometers, and cavity‑coupled absorption sensors. Would the authors expand this section with a systematic literature survey (2019‑2025) that tabulates key architectures, figures‑of‑merit, and application domains to give readers a complete state‑of‑the‑art snapshot? The following papers may of interest to authors. 10.1364/OE.444323, 10.1021/acsami.3c18702

Response: Thank you for this valuable suggestion. We have systematically reviewed the literature from 2019 to 2025 again, and added relevant literature citations in the revised manuscript, with particular emphasis on supplementing two important papers recommended by you (10.1364/OE.444323, 10.1021/acsami.3c18702).

In the section of “2.1.5. Optical sensing” of the revises manuscript:

“In recent years, in addition to traditional fluorescence and absorption sensors, emerging technical directions in this area such as plasmon-enhanced CPs fluorophores [51, 52], waveguide-integrated CPs interferometers [53], and cavity coupled absorption sensors [54] have also been developed.

Related citation in the “References” section:

[51] Liu, W.; Shi, Y.; Yi, Z.; Liu, C.; Wang, F.M; Li, X.L; Lv, J.W; Yang, L.; Chu, P. K. Surface plasmon resonance chemical sensor composed of a microstructured optical fiber for the detection of an ultra-wide refractive index range and gas-liquid pollutants. Opt. Express 2021, 29, 40734–40747. (you suggested)

[52] Nimbekar, A.A.; Bhatia, P.G.; Deshmukh, R. R. Ammonia sensors manufactured by plasma enhanced grafting of conducting polymers on nylon-6 fabrics. Synth. Met. 2021, 279, 116840.

[53] Mumtaz, F.; Zhang, B.H.; Subramaniyam, N.; Roman, M.; Holtmann, P.; Hungund, A.P.; Hungund, A.P.; O’Malley, R.; Spudich, T.M.; Davis, M.; Gerald II, R.E.; Huang, J. Miniature optical fiber Fabry–Perot interferometer based on a Single-Crystal Metal–Organic framework for the detection and quantification of benzene and ethanol at low concentrations in nitrogen gas. ACS Appl. Mater. Interfaces 2024, 16, 13071–13081. (you suggested)

[54] Rossi, S.; Olsson, O.; Chen, S.Z.; Shanker, R.; Banerjee, D.; Dahlin, A.; Jonsson, M.P. Dynamically tuneable reflective structural coloration with electroactive conducting polymer nanocavities. Adv. Mater. 2021, 33, 2105004.

  1. Long‑term stability and humidity‑induced drift are acknowledged as persistent obstacles, but the manuscript offers only qualitative comments. What are the dominant chemical or mechanical degradation pathways (e.g., dedoping, backbone oxidation, water sorption) and what quantitative lifetime data exist from accelerated‑aging or field trials?

Response: Thank you for highlighting the lack of quantitative detail on long-term stability. In response, we have added a new subsection “3.2 Critical issues in real applications 3.2.1 Long-Term Stability and Humidity Drift: Mechanisms and Quantitative Evaluations ” in the revised version, as shown below.

3.2.1 Long-Term Stability and Humidity Drift: Mechanisms and Quantitative Evaluations

Although CPs based gas sensors can be used to detect multiple gases and exhibit excellent performances, in practical application scenarios, they still face two key challenges: humidity-induced drift and poor long-term stability. Especially when operating in a variable environment for a long time, these problems seriously restrict their reliable working. The root cause of the performance degradation lies in the chemical, electrochemical, and mechanical changes that occur at the interface between the CPs based sensing layer and the matrix electrode.

In a humid environment, due to the possible cross-reaction between different gases, such sensor may produce similar responsiveness to non-target gases. Therefore, the gas sensing performance may be a mixed response to the target gas and water vapor [141]. On the one hand, water adsorption consumes the adsorption sites of sensing materials, leading to the misjudgment of the concentration of target gases and reducing measurement accuracy. On the other hand, water molecules could interact with polymer chains and disrupt the charge transport path. In addition, the oxidizing or reducing gases may react with the main molecular chain of CPs or their composites, to destroy the conjugated system, reduce the carrier density, and weaken the conductivity and sensing ability of the sensor [142]. For example, in PEDOT:PSS, the PSS shell layer will adsorb water molecules, causing volume expansion, leading to an increase in the distance between PEDOT cores, and thus reducing the carrier transmission efficiency, and further hindering the target gas from reaching the sensing site, prolonging the response time and reducing the sensitivity [143]. By designing a multi-dimensional structure or compounding with inorganic materials, the adsorption sites and charge transfer efficiency of CPs based sensing materials can be effectively enhanced, thereby improving the responsiveness and selectivity of related sensors. For example, inorganic two-dimensional (2D) nanomaterials such as rGO and MXenes have been introduced to improve their electrical conductivity and enhance their mechanical properties [73, 95]; Using other polymers with good hydrophobicity and thermal stability, such as PDMS and fluorinated polyurethane (PU) to encapsulate these sensors [121, 124, 125]

Another important challenge for gas sensors is their long-term stability. This not only exists in CPs-based but also other sensors. This is because during long-term use, sensing active materials may experience performance degradation or even failure due to mechanical external forces, environmental erosion, aging, and other facters. For example, when CPs-based sensors are exposed to air for a long time, due to the obvious dedoping effect, the adsorption sites of CPs may be affected, resulting in a significant decline in sensing performance. At the same time, the presence of oxygen could cause the degradation of CPs, thereby reducing their conductivity [144]. In flexible or wearable devices, mechanical stress cycling may cause the delamination at the interface between the CPs films and the substrates, leading to the interface failure and functional loss, finally affecting the related sensing performances and shortening the service life of such sensors.”

  1. Wearable and biomedical applications are highlighted, but the review omits any assessment of biocompatibility, toxicology, or regulatory requirements for prolonged skin contact or implantation of CP materials. What data and standards (ISO 10993, FDA class definitions, etc.) support the safe translation of these sensors to human use? Need more clarification.

Response: Thank you for this profound insights. According to your suggestion, we have added a new subsection “3.2.2”, summarizing the biocompatibility assessment, toxicological issues, and regulatory standards related to CPs-based wearable and biomedical sensors, and organized it into a new Table 2.

Please find them as following or in our revised manuscript:

3.2.2 Biocompatibility, Toxicology, and Regulatory Considerations for CPs-Based Wearable and Biomedical Sensors

CPs, especially PANi, PPy, PThs, PEDOT, and PEDOT:PSS, have been widely explored for wearable and biomedical sensing platforms. However, translating these materials from laboratory prototypes to clinically viable devices necessitates careful consideration of biocompatibility, cytotoxicity, and regulatory compliance under prolonged skin contact or implantation scenarios.

3.2.2.1 Biocompatibility and Toxicological Assessment

PANi, while conductive and easy to process, may release toxic degradation products (e.g., aniline) if not adequately stabilized. Doping agents and processing residues significantly influence its biocompatibility, Composites or coatings (e.g., with biopolymers like chitosan or silk fibroin) are often employed to improve its safety [145, 146]

PPy has demonstrated favorable in vitro and in vivo biocompatibility, so it is generally considered non-cytotoxic, especially when synthesized electrochemically without residual monomers or toxic dopants. Several studies show that PPy-coated scaffolds support cell adhesion and proliferation [147,148].

PThs also have excellent biocompatibility, with few adverse reactions in cell culture and in vivo models. So they can also promote the adhesion and differentiation of neural stem cells and has significant potential in neural regeneration and bioelectronic devices that require long-term tissue integration [149, 150].

PEDOT and PEDOT:PSS, especially when purified or treated to remove excess PSS (e.g., with DMSO or ethylene glycol), exhibit low cytotoxicity and good compatibility with fibroblasts and neuronal cells [151]. As a result, PEDOT:PSS has been used in bioelectronic implants, such as cochlear [152] and neural interfaces [153], supporting its suitability for extended contact with biological tissues.

3.2.2.2 Relevant Standards and Regulatory Framework

ISO 10993 Series [154]: For any device involving skin contact (>30 days) or implantation, they mandate a series of biological evaluations including:

(1) ISO 10993-5 (in vitro cytotoxicity);

(2) ISO 10993-10 (skin irritation and sensitization);

(3) ISO 10993-11 (systemic toxicity);

(4) ISO 10993-6 (implantation effects) if the device is implanted.

FDA Device Classification [155]:

Wearable CPs-based sensors typically fall under Class I or Class II medical devices, depending on the intended use (diagnostic vs. therapeutic) and level of invasiveness. Implantable CPs-based sensors, if developed, would likely be Class III (requiring premarket approval), especially for glucose, neurotransmitter, or gas biomarker detection. Material Risk Assessment: For example, PEDOT:PSS was evaluated by the U.S. FDA as part of neural recording systems, and passed biocompatibility testing in several device submissions (e.g., for cortical electrodes).

3.2.2.3 Design Considerations for Clinical Translation

For clinical translation, there are much serious condierations on the material systems design on CPs-based gas sensors, as shown below.

(1) Encapsulation strategies using biocompatible elastomers (e.g., PDMS, TPU) are essential to isolate CPs from direct tissue exposure while maintaining sensing functionality [125];

(2) Incorporation of bioinert and hydrophobic coatings also helps prevent ion leaching and immune response [155];

(3) Long-term implantation trials (animal models >30 days) are necessary to assess chronic inflammation and fibrotic encapsulation [157].”

Table 2. Some biosafety and regulatory standards on CPs

Conducting Polymer

Biocompatibility

Toxicity Concerns

Regulatory Standard

Ref.

PANi

Variable; can release toxic aniline, modified forms, or composites safer

Aniline toxicity, residual dopants, and degradation products are concerns

ISO 10993-5, -10; FDA Class I/11 depending on application

[145, 146]

PPy

Generally good; supports cell adhesion and proliferation

Low toxicity if properly synthesized

ISO 10993-5, -10, -11; preclinical animal studies needed for implants

[147, 148]

PTh

General, modification or compounding for improvement

The toxicity of degradation products is unknown; residual monomers may be toxic

ISO 10993-5, -10; in some cases, additional in vitro and in vivo testing may be required based on application

[149, 150]

PEDOT

Excellent; used in neural and cardiac interfaces

Minimal; depends on dopants and processing additives

ISO 10993-1, -5, -6, -10, -11; used in FDA-cleared implants

[151]

PEDOT:PSS

Good after PSS removal or treatment (DMSO/EG); lowcytotoxicity

Excess PSS may irritate; removal improves safety

ISO 10993-5, -10; reviewed under FDA Class 11 submissions (e.g., neural devices)

[152, 153]

 

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

This manuscript presents a comprehensive review on the principles, materials, and applications of conducting polymers-based gas sensors. It is well organized, and provides valuable insights for broad researchers in the field. However, there are still some minor issues with the manuscript that should be carefully revised.

  1. In the keyword section, “conducting polymers” has an inclusion relationship with “polypyrrole”, replace or delete one of them to enhance the representativeness.
  2. Some terms should be consistent all through the manuscript, such as “conducting polymers” and “conductive polymers”, “gas sensing” and “gas-sensing”, and etc, the authors should carefully check the whole manuscript.
  3. When mentioning Nernst's equation and Faraday's law, the authors only describe their functions in words. It is recommended to supplement the relevant formulas.
  4. The authors are encouraged to add a table to summarize the performance of different CPs based gas sensors, including sensing mechanism, target gas, sensitivity.
  5. It is suggested to add some discussion about the use of AI techniques in the future development of this field.

Author Response

Response to the reviewer 2’s comments

Firstly, we deeply appreciate the reviewer for the hard work on our manuscript. Those comments are all valuable and very helpful for revising and improving our paper. Below you will find our point-by-point response to your comments (Answers are marked in red):

*********************************************************************

Reviewer 2’s comments:

This manuscript presents a comprehensive review on the principles, materials, and applications of conducting polymer-based gas sensors. It is well organized and provides valuable insights for broad researchers in the field. However, there are still some minor issues with the manuscript that should be carefully revised.

  1. In the keyword section, “conducting polymers” has an inclusion relationship with “polypyrrole”, replace or delete one of them to enhance the representativeness.

Responce: Thank you very much for your careful review and professional suggestions. According to your suggestion, we have deleted "polypyrrole" from the “Keywords” section.

  1. Some terms should be consistent all through the manuscript, such as “conducting polymers” and “conductive polymers”, “gas sensing” and “gas-sensing”, and etc., the authors should carefully check the whole manuscript.

Response: We have carefully checked the full text and unified the relevant terms into "conducting polymers" and "gas sensing" to ensure the consistency of terminology usage and avoid confusing readers.

  1. When mentioning Nernst's equation and Faraday's law, the authors only describe their functions in words. It is recommended to supplement the relevant formulas.

Response: Thank you very much for your professional advice. According to your suggestion, we have added the specific formulas of these two laws in the relevant “2.1.1 Electrochemical sensing” section of the revised manuscript” as follows.

“The magnitude of the response follows Nernst's equation ( ) and Faraday's law ( ) providing quantitative information on the gas concentration [25, 26].”

4.The authors are encouraged to add a table to summarize the performance of different CPs based gas sensors, including sensing mechanism, target gas, and sensitivity.

Response: Thank you very much for your valuable suggestions. In the revised manuscript, we have added a new table (Table 1, as shown below) to systematically sort out key information such as the sensing mechanism, target gas, and response time of different CPs-based gas sensors.

Table 1. Comparison of the critical application parameters of different CPs-based sensors for special gas analytes

Mechanism

Sensor Materials

Target

LOD

Responce

Ref.

Chemiresistive

PEDOT:PSS/PPA

CO

50 ppm

58 s

[104]

Chemiresistive

PANI/SnO2

C6H6

0.4 ppm

33 s

[107]

Mechanical

poly(DTCPA-co-BHTBT)-CB

C7H8

4 ppm

36.47 s

[48]

Chemiresistive

TSP-nAu-PANi

CHCl3

360 s

[132]

Chemiresistive

GO:PEDOT:PSS

CH3OH

24.47 s

[103]

Optical

POF/PPy

C2H5OH

140 ppm

5 s

[61]

Chemiresistive

SWCNT/C4F-PPy

C3H6O

1 ppm

750 s

[111]

Chemiresistive

SnO2/PTh

C3H6O

0.5 ppm

10 s

[35]

Chemiresistive

PANi/AgNWs/Silk

TMA

1.38 ppm

90 s

[24]

Chemiresistive

PANi

H2

1 ppm

15 s/17 s

[78]

Chemiresistive

CA-PANi

H2S

1 ppm

1 s

[16]

Chemiresistive

PANi/MOX

H2S

< 100 ppm

10 s

[88]

FET

Si/PANI:DBSA

NH3

2 s

[66]

Chemiresistive

PEDOT-PVDF

NH3

10 ppm

80 s

[99]

Chemiresistive

PA-PANI/GO

NH3

25 ppm

[73]

Chemiresistive

f-MWCNT-PEDOT:PSS

NH3

< 10 ppm

228 s

[109]

Chemiresistive

PPy-TcCoPc

NH3

50 ppm

8 s

[84]

Chemiresistive

CdS QDs-PTh

NH3

10 ppm

0.6 s

[36]

Electrochemical

PEDOT:PSS/IrOx Ps

NH3

8 ppm

87±9 s

[30]

Chemiresistive

PANi

NH3

2.5 ppm

110 s

[22]

Chemiresistive

PPy@LIG

NH3

1 ppm

450 s

[86]

Chemiresistive

PANi/FMWCNT

NH3

1 ppm

15 s

[77]

Chemiresistive

PANi-MWCNTs/PDMS

NH3

10 ppb

[133]

Chemiresistive

RGO-PTh

NO2

0.52 ppm

498 s

[95]

Chemiresistive

MWCNTs/PANi

NH3

0.3 ppm

21 s

[76]

Piezoelectricv

GO:PEDOT:PSS

NO2

175 ppb

35 s

[43]

Chemiresistive

PTh

NO2

0.25 ppm

4980 s

[114]

Chemiresistive

PANi/BP

NO2

< 2 ppm

98 s

[128]

Chemiresistive

Au-ZnO-PANi

NO2

< 10 ppm

600 s

[129]

  1. It is suggested to add some discussion about the use of AI techniques in the future development of this field.

Response: Thank you very much for this valuable suggestion. According to it, we have added a brief discussion about the future development and application of AI technology in the field of CPs-based gas sensing.

In the section of “4 Conclusion and Prospects”:

“In addition, artificial intelligence (AI) technology has great potential in the future development of gas sensors on the basis of CPs. In terms of data processing, AI can efficiently analyze the massive and complex data generated by sensors towards real and unpredictable gas analytes, like E-noses for pneumoconiosis screening and diagnosis [158]. For example, deep learning algorithms could deeply mine the response data of sensors under different gas concentrations and environmental conditions and establish accurate gas recognition models, thereby greatly improving the recognition accuracy of sensors for target gases and effectively reducing misjudgments and omissions. In terms of adaptive adjustment, AI may dynamically adjust the working mode and parameter settings of sensors according to real-time environmental parameters and historical data of sensors. For example, when there are large changes in environmental humidity or temperature, the compensation mechanism of the sensor may be automatically optimized through AI algorithms to keep the sensor in the best detection performance at all times and further improve its stability and reliability in complex and changeable environments. Moreover, with the predictive analysis ability of AI, it is possible to predict in advance possible failures or performance declines of sensors so that timely maintenance and replacement can be carried out to reduce the risk of equipment operation and improve the operating efficiency of the entire gas detection system. By deeply integrating AI technology with CPs based gas sensors, it is expected to promote leapfrog development in this field and create a more intelligent and efficient new era of gas detection.”

 

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors This review manuscript on conducting polymers-based gas sensors is structured into several sections: the different transduction modes, the different types of polymers, the nature of the main constituents of the sensor device, and the main applications of these gas sensors. In a "conclusion and prospects" section, several challenges and opportunities for the future of these sensors are discussed. In the applications section, it should be interesting to compare (in a Table) and discuss the different sensors for the detection of the same gas target. Through the comparison, the best solution could appear.  

Author Response

Response to the reviewer 3’s comments

Firstly, we deeply appreciate the reviewer for the hard work on our manuscript. Those comments are all valuable and very helpful for revising and improving our paper. Below you will find our point-by-point response to your comments (Answers are marked in red):

*********************************************************************

Reviewers 3’s comments:

This review manuscript on conducting polymers-based gas sensors is structured into several sections: the different transduction modes, the different types of polymers, the nature of the main constituents of the sensor device, and the main applications of these gas sensors. In a "conclusion and prospects" section, several challenges and opportunities for the future of these sensors are discussed.

Response: Thank you very much for your positive comment.

In the applications section, it should be interesting to compare (in a Table) and discuss the different sensors for the detection of the same gas target. Through the comparison, the best solution could appear.

Response: Thank you very much for this helpful comment. According to your and another reviewer’s suggestion, we have added a new “Table 1” as shown below in the revised version and gave some brief discussion in the “3 Application of CPs-based gas sensors” section.

 

 

Table 1. Comparison of the critical application parameters of different CPs-based sensors for special gas analytes

Mechanism

Sensor Materials

Target

LOD

Responce

Ref.

Chemiresistive

PEDOT:PSS/PPA

CO

50 ppm

58 s

[104]

Chemiresistive

PANI/SnO2

C6H6

0.4 ppm

33 s

[107]

Mechanical

poly(DTCPA-co-BHTBT)-CB

C7H8

4 ppm

36.47 s

[48]

Chemiresistive

TSP-nAu-PANi

CHCl3

360 s

[132]

Chemiresistive

GO:PEDOT:PSS

CH3OH

24.47 s

[103]

Optical

POF/PPy

C2H5OH

140 ppm

5 s

[61]

Chemiresistive

SWCNT/C4F-PPy

C3H6O

1 ppm

750 s

[111]

Chemiresistive

SnO2/PTh

C3H6O

0.5 ppm

10 s

[35]

Chemiresistive

PANi/AgNWs/Silk

TMA

1.38 ppm

90 s

[24]

Chemiresistive

PANi

H2

1 ppm

15 s/17 s

[78]

Chemiresistive

CA-PANi

H2S

1 ppm

1 s

[16]

Chemiresistive

PANi/MOX

H2S

< 100 ppm

10 s

[88]

FET

Si/PANI:DBSA

NH3

2 s

[66]

Chemiresistive

PEDOT-PVDF

NH3

10 ppm

80 s

[99]

Chemiresistive

PA-PANI/GO

NH3

25 ppm

[73]

Chemiresistive

f-MWCNT-PEDOT:PSS

NH3

< 10 ppm

228 s

[109]

Chemiresistive

PPy-TcCoPc

NH3

50 ppm

8 s

[84]

Chemiresistive

CdS QDs-PTh

NH3

10 ppm

0.6 s

[36]

Electrochemical

PEDOT:PSS/IrOx Ps

NH3

8 ppm

87±9 s

[30]

Chemiresistive

PANi

NH3

2.5 ppm

110 s

[22]

Chemiresistive

PPy@LIG

NH3

1 ppm

450 s

[86]

Chemiresistive

PANi/FMWCNT

NH3

1 ppm

15 s

[77]

Chemiresistive

PANi-MWCNTs/PDMS

NH3

10 ppb

[133]

Chemiresistive

RGO-PTh

NO2

0.52 ppm

498 s

[95]

Chemiresistive

MWCNTs/PANi

NH3

0.3 ppm

21 s

[76]

Piezoelectricv

GO:PEDOT:PSS

NO2

175 ppb

35 s

[43]

Chemiresistive

PTh

NO2

0.25 ppm

4980 s

[114]

Chemiresistive

PANi/BP

NO2

< 2 ppm

98 s

[128]

Chemiresistive

Au-ZnO-PANi

NO2

< 10 ppm

600 s

[129]

 

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

Comments and Suggestions for Authors

Accept in present form

Back to TopTop