Indicator of harmful cyanobacteria using an odor-binding protein-based biosensor for β-cyclocitral detection
| dc.contributor.author | Wang, Chunmiao | |
| dc.contributor.author | Chang, Xinying | |
| dc.contributor.author | Gu, Zhenao | |
| dc.contributor.author | Qian, Yaohan | |
| dc.contributor.author | Liu, Wanqing | |
| dc.contributor.author | Jia, Anqi | |
| dc.contributor.author | Yang, Zhugen | |
| dc.contributor.author | Yu, Jianwei | |
| dc.contributor.author | Yang, Min | |
| dc.date.accessioned | 2026-05-18T13:59:04Z | |
| dc.date.available | 2026-05-18T13:59:04Z | |
| dc.date.freetoread | 2026-05-18 | |
| dc.date.issued | 2026-05 | |
| dc.date.pubOnline | 2026-04-29 | |
| dc.description.abstract | β-Cyclocitral, a compound that causes a hay/woody/tobacco-like odor, is closely associated with cyanobacterial cell density and can serve as a biomarker for cyanobacterial blooms. Biosensors utilizing odor-binding proteins (OBPs) have been developed for detecting chemicals exhibiting odors; however, their performance in environmental water samples has been rarely reported. In this study, an OBP-based electrochemical biosensor was developed for the detection of β-cyclocitral by immobilizing human OBP2a on a gold screen-printed electrode via nitrocellulose membrane. 1:5 mm2/μL nitrocellulose membrane/methanol mixture solution and 100 μg/mL OBP2a were selected as the optimal concentrations for OBP2a immobilization. The optimized sensor showed concentration-dependent characteristics in the range of 0.1–1000 μg/L. The performance of OBP2a-based biosensor was first comprehensively evaluated. Compared to 10 typical odorants in drinking water, the biosensor showed a relatively higher affinity for β-cyclocitral. The biosensor had a good detection accuracy and precision in real water samples, with recoveries of 119.86% and 115.31% in dechlorinated tap water and raw water samples, respectively. It maintains good stability when stored at −20 °C, with a current decline of 5.3% on the 6th day. These results demonstrate that OBP2a-based biosensors show promising potential for detecting β-cyclocitral, providing a useful tool for early warning of cyanobacterial blooms. | |
| dc.description.journalName | Journal of Water Process Engineering | |
| dc.description.sponsorship | This work was supported by Funds for the National Natural Science Foundation of China (22476207, 52100018, W2412156), the National Key Research and Development Program of China (grant number 2023YFC3210100). | |
| dc.identifier.citation | Wang C, Chang X, Gu Z, et al., (2026) Indicator of harmful cyanobacteria using an odor-binding protein-based biosensor for β-cyclocitral detection. Journal of Water Process Engineering, Volume 87, May 2026, Article number 110122 | en_UK |
| dc.identifier.elementsID | 870490 | |
| dc.identifier.issn | 2214-7144 | |
| dc.identifier.paperNo | 110122 | |
| dc.identifier.uri | https://doi.org/10.1016/j.jwpe.2026.110122 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/25249 | |
| dc.identifier.volumeNo | 87 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | en_UK |
| dc.publisher.uri | https://www.sciencedirect.com/science/article/abs/pii/S221471442600680X?via%3Dihub | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | 40 Engineering | en_UK |
| dc.subject | Bioengineering | en_UK |
| dc.subject | Prevention | en_UK |
| dc.subject | 3 Good Health and Well Being | en_UK |
| dc.subject | 4004 Chemical engineering | en_UK |
| dc.subject | 4005 Civil engineering | en_UK |
| dc.subject | 4011 Environmental engineering | en_UK |
| dc.subject | Drinking water | en_UK |
| dc.subject | Odor-causing compounds | en_UK |
| dc.subject | Odor-binding proteins | en_UK |
| dc.subject | Biosensors | en_UK |
| dc.subject | Cyanobacterial bloom | en_UK |
| dc.title | Indicator of harmful cyanobacteria using an odor-binding protein-based biosensor for β-cyclocitral detection | en_UK |
| dc.type | Article | |
| dcterms.dateAccepted | 2026-04-19 |
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