Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review
The anticipated diagnosis of cancers and other fatal diseases from the simple analysis of the volatiles emitted by the body (volatolome) is getting closer and closer from becoming reality. The promises of vapour sensor arrays are to provide a rapid, reliable, non-invasive and ready-to-use method for...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Series: | Chemosensors |
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| Online Access: | https://www.mdpi.com/2227-9040/13/1/15 |
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| author | Abhishek Sachan Mickaël Castro Jean-François Feller |
| author_facet | Abhishek Sachan Mickaël Castro Jean-François Feller |
| author_sort | Abhishek Sachan |
| collection | DOAJ |
| description | The anticipated diagnosis of cancers and other fatal diseases from the simple analysis of the volatiles emitted by the body (volatolome) is getting closer and closer from becoming reality. The promises of vapour sensor arrays are to provide a rapid, reliable, non-invasive and ready-to-use method for clinical applications by making an olfactive fingerprint characteristic of people’s health state, to increase their chance of early recovery. However, the different steps of this complex and ambitious process are still paved with difficulties needing innovative answers. The purpose of this review is to provide a statement of the blocs composing the diagnostic chain to identify the improvements still needed. Nanocomposite chemo-resistive transducers have unique prospects to enhance both the selectivity and sensitivity to volatile biomarkers. The variety of their formulations offers multiple possibilities to chemical functionalization and conductive architectures that should provide solutions to discriminations and stability issues. A focus will be made on the protocols for the collection of organic volatile compounds (VOC) from the body, the choice of vapour sensors assembled into an array (e-nose), in particular, chemo-resistive vapour sensors, their principle, fabrication and characteristics, and the way to extract pertinent features and analyse them with suitable algorithms that are able to find and produce a health diagnosis. |
| format | Article |
| id | doaj-art-ecc9cdabebbb453392534400d5270c3f |
| institution | Kabale University |
| issn | 2227-9040 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Chemosensors |
| spelling | doaj-art-ecc9cdabebbb453392534400d5270c3f2025-01-24T13:26:54ZengMDPI AGChemosensors2227-90402025-01-011311510.3390/chemosensors13010015Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A ReviewAbhishek Sachan0Mickaël Castro1Jean-François Feller2Smart Plastics Group, IRDL CNRS 6027, University of South Brittany (UBS), 56321 Lorient, FranceSmart Plastics Group, IRDL CNRS 6027, University of South Brittany (UBS), 56321 Lorient, FranceSmart Plastics Group, IRDL CNRS 6027, University of South Brittany (UBS), 56321 Lorient, FranceThe anticipated diagnosis of cancers and other fatal diseases from the simple analysis of the volatiles emitted by the body (volatolome) is getting closer and closer from becoming reality. The promises of vapour sensor arrays are to provide a rapid, reliable, non-invasive and ready-to-use method for clinical applications by making an olfactive fingerprint characteristic of people’s health state, to increase their chance of early recovery. However, the different steps of this complex and ambitious process are still paved with difficulties needing innovative answers. The purpose of this review is to provide a statement of the blocs composing the diagnostic chain to identify the improvements still needed. Nanocomposite chemo-resistive transducers have unique prospects to enhance both the selectivity and sensitivity to volatile biomarkers. The variety of their formulations offers multiple possibilities to chemical functionalization and conductive architectures that should provide solutions to discriminations and stability issues. A focus will be made on the protocols for the collection of organic volatile compounds (VOC) from the body, the choice of vapour sensors assembled into an array (e-nose), in particular, chemo-resistive vapour sensors, their principle, fabrication and characteristics, and the way to extract pertinent features and analyse them with suitable algorithms that are able to find and produce a health diagnosis.https://www.mdpi.com/2227-9040/13/1/15volatolome collectionvapour sensors selectionelectronic nose designfeatures extractionartificial neural networkshealth diagnostic |
| spellingShingle | Abhishek Sachan Mickaël Castro Jean-François Feller Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review Chemosensors volatolome collection vapour sensors selection electronic nose design features extraction artificial neural networks health diagnostic |
| title | Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review |
| title_full | Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review |
| title_fullStr | Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review |
| title_full_unstemmed | Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review |
| title_short | Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review |
| title_sort | volatolomics for anticipated diagnosis of cancers with chemoresistive vapour sensors a review |
| topic | volatolome collection vapour sensors selection electronic nose design features extraction artificial neural networks health diagnostic |
| url | https://www.mdpi.com/2227-9040/13/1/15 |
| work_keys_str_mv | AT abhisheksachan volatolomicsforanticipateddiagnosisofcancerswithchemoresistivevapoursensorsareview AT mickaelcastro volatolomicsforanticipateddiagnosisofcancerswithchemoresistivevapoursensorsareview AT jeanfrancoisfeller volatolomicsforanticipateddiagnosisofcancerswithchemoresistivevapoursensorsareview |