File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1021/acs.est.0c04678
- Scopus: eid_2-s2.0-85100170608
- WOS: WOS:000638991400009
- Find via

Supplementary
- Citations:
- Appears in Collections:
Article: Modeling and Experimental Validation of Microbial Transfer via Surface Touch
| Title | Modeling and Experimental Validation of Microbial Transfer via Surface Touch |
|---|---|
| Authors | |
| Keywords | Effective contact area Fomite Microbial transfer rate Model Surface touch Touching behaviors |
| Issue Date | 6-Apr-2021 |
| Publisher | American Chemical Society |
| Citation | Environmental Science & Technology, 2021, v. 55, n. 7, p. 4148-4161 How to Cite? |
| Abstract | Surface touch spreads disease-causing microbes, but the measured rates of microbial transfer vary significantly. Additionally, the mechanisms underlying microbial transfer via surface touch are unknown. In this study, a new physical model was proposed to accurately evaluate the microbial transfer rate in a finger-surface touch, based on the mechanistic effects of important physical factors, including surface roughness, surface wetness, touch force, and microbial transfer direction. Four surface-touch modes were distinguished, namely, a single touch, sequential touches (by different recipients), repeated touches (by the same recipient), and a touch with rubbing. The tested transfer rates collated from 26 prior studies were compared with the model predictions based on their experimental parameters, and studies in which the transfer rates were more consistent with our model predictions were identified. New validation experiments were performed by accurately controlling the parameters involved in the model. Four types of microbes were used to transfer between the naked finger and metal surface with the assistance of a purpose-made touch machine. The measured microbial transfer rate data in our new experiments had a smaller standard deviation than those reported from prior studies and were closer to the model prediction. Our novel predictive model sheds light on possible future studies. |
| Persistent Identifier | http://hdl.handle.net/10722/350773 |
| ISSN | 2023 Impact Factor: 10.8 2023 SCImago Journal Rankings: 3.516 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhao, Pengcheng | - |
| dc.contributor.author | Li, Yuguo | - |
| dc.date.accessioned | 2024-11-02T00:38:09Z | - |
| dc.date.available | 2024-11-02T00:38:09Z | - |
| dc.date.issued | 2021-04-06 | - |
| dc.identifier.citation | Environmental Science & Technology, 2021, v. 55, n. 7, p. 4148-4161 | - |
| dc.identifier.issn | 0013-936X | - |
| dc.identifier.uri | http://hdl.handle.net/10722/350773 | - |
| dc.description.abstract | <p>Surface touch spreads disease-causing microbes, but the measured rates of microbial transfer vary significantly. Additionally, the mechanisms underlying microbial transfer via surface touch are unknown. In this study, a new physical model was proposed to accurately evaluate the microbial transfer rate in a finger-surface touch, based on the mechanistic effects of important physical factors, including surface roughness, surface wetness, touch force, and microbial transfer direction. Four surface-touch modes were distinguished, namely, a single touch, sequential touches (by different recipients), repeated touches (by the same recipient), and a touch with rubbing. The tested transfer rates collated from 26 prior studies were compared with the model predictions based on their experimental parameters, and studies in which the transfer rates were more consistent with our model predictions were identified. New validation experiments were performed by accurately controlling the parameters involved in the model. Four types of microbes were used to transfer between the naked finger and metal surface with the assistance of a purpose-made touch machine. The measured microbial transfer rate data in our new experiments had a smaller standard deviation than those reported from prior studies and were closer to the model prediction. Our novel predictive model sheds light on possible future studies.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | American Chemical Society | - |
| dc.relation.ispartof | Environmental Science & Technology | - |
| dc.subject | Effective contact area | - |
| dc.subject | Fomite | - |
| dc.subject | Microbial transfer rate | - |
| dc.subject | Model | - |
| dc.subject | Surface touch | - |
| dc.subject | Touching behaviors | - |
| dc.title | Modeling and Experimental Validation of Microbial Transfer via Surface Touch | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.1021/acs.est.0c04678 | - |
| dc.identifier.scopus | eid_2-s2.0-85100170608 | - |
| dc.identifier.volume | 55 | - |
| dc.identifier.issue | 7 | - |
| dc.identifier.spage | 4148 | - |
| dc.identifier.epage | 4161 | - |
| dc.identifier.eissn | 1520-5851 | - |
| dc.identifier.isi | WOS:000638991400009 | - |
| dc.identifier.issnl | 0013-936X | - |
