Programmable and Modularized Gas Sensor Integrated by 3D Printing
The rapid advancement of intelligent manufacturing technology has enabled electronic equipment to achieve synergistic design and programmable optimization through computer-aided engineering. Three-dimensional (3D) printing, with the unique characteristics of near-net-shape forming and mold-free fabrication, serves as an effective medium for the materialization of digital designs into usable devices. This methodology is particularly applicable to gas sensors, where performance can be collaboratively optimized by the tailored design of each internal module including composition, microstructure, and architecture. Meanwhile, diverse 3D printing technologies can realize modularized fabrication according to the application requirements. The integration of artificial intelligence software systems further facilitates the output of precise and dependable signals. Simultaneously, the self-learning capabilities of the system also promote programmable optimization for the hardware, fostering continuous improvement of gas sensors for dynamic environments. This review investigates the latest studies on 3D-printed gas sensor devices and relevant components, elucidating the technical features and advantages of different 3D printing processes. A general testing framework for the performance evaluation of customized gas sensors is proposed. Additionally, it highlights the superiority and challenges of programmable and modularized gas sensors, providing a comprehensive reference for material adjustments, structure design, and process modifications for advanced gas sensor devices.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:124 |
|---|---|
| Enthalten in: |
Chemical reviews - 124(2024), 6 vom: 27. März, Seite 3608-3643 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Zhou, Shixiang [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 27.03.2024 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1021/acs.chemrev.3c00853 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369885759 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369885759 | ||
| 003 | DE-627 | ||
| 005 | 20240328000230.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240319s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1021/acs.chemrev.3c00853 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1351.xml |
| 035 | |a (DE-627)NLM369885759 | ||
| 035 | |a (NLM)38498933 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Zhou, Shixiang |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Programmable and Modularized Gas Sensor Integrated by 3D Printing |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 27.03.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a The rapid advancement of intelligent manufacturing technology has enabled electronic equipment to achieve synergistic design and programmable optimization through computer-aided engineering. Three-dimensional (3D) printing, with the unique characteristics of near-net-shape forming and mold-free fabrication, serves as an effective medium for the materialization of digital designs into usable devices. This methodology is particularly applicable to gas sensors, where performance can be collaboratively optimized by the tailored design of each internal module including composition, microstructure, and architecture. Meanwhile, diverse 3D printing technologies can realize modularized fabrication according to the application requirements. The integration of artificial intelligence software systems further facilitates the output of precise and dependable signals. Simultaneously, the self-learning capabilities of the system also promote programmable optimization for the hardware, fostering continuous improvement of gas sensors for dynamic environments. This review investigates the latest studies on 3D-printed gas sensor devices and relevant components, elucidating the technical features and advantages of different 3D printing processes. A general testing framework for the performance evaluation of customized gas sensors is proposed. Additionally, it highlights the superiority and challenges of programmable and modularized gas sensors, providing a comprehensive reference for material adjustments, structure design, and process modifications for advanced gas sensor devices | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 700 | 1 | |a Zhao, Yijing |e verfasserin |4 aut | |
| 700 | 1 | |a Xun, Yanran |e verfasserin |4 aut | |
| 700 | 1 | |a Wei, Zhicheng |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Yong |e verfasserin |4 aut | |
| 700 | 1 | |a Yan, Wentao |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Jun |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Chemical reviews |d 1945 |g 124(2024), 6 vom: 27. März, Seite 3608-3643 |w (DE-627)NLM040798186 |x 1520-6890 |7 nnns |
| 773 | 1 | 8 | |g volume:124 |g year:2024 |g number:6 |g day:27 |g month:03 |g pages:3608-3643 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1021/acs.chemrev.3c00853 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 124 |j 2024 |e 6 |b 27 |c 03 |h 3608-3643 | ||