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Shetab-Boushehri SMH, Shetab-Boushehri SV. A Simple Efficient Inexpensive Device for Separation of Trypsinized Cells from Tissue Fragments. Stem Cell Rev Rep 2024; 20:855-856. [PMID: 38261168 DOI: 10.1007/s12015-024-10680-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/09/2024] [Indexed: 01/24/2024]
Affiliation(s)
| | - Seyed Vahid Shetab-Boushehri
- Razi Drug Research Center, Iran University of Medical Sciences, PO Box 14665-354, Tehran, Iran.
- Ameretat Shimi Pharmaceutical Co, Tehran, Iran.
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Zhang H, He X, Wang S, Wu F, Zhi Y, Li Y, Wang X, Ma Y, Meng F, Wang C. Research on accurate pipetting complementation model for high-throughput molecular detection platform. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2024; 95:024702. [PMID: 38376384 DOI: 10.1063/5.0159016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 01/18/2024] [Indexed: 02/21/2024]
Abstract
The incidence of infectious diseases has risen in recent years, leading to a significant surge in the demand for medical molecular detection. High-throughput molecular detection platforms play a crucial role in facilitating rapid and efficient molecular detection. Among the various techniques employed in high-throughput molecular detection, microliquid transfer stands out as one of the most frequently utilized methods. However, ensuring the accuracy of liquid transfer poses a challenge due to variations in the physical and chemical properties of different samples and reagents. In this study, a pipetting complementation model was developed specifically for the serum, paraffin oil, and throat swabs. The aim was to enhance the transfer accuracy of diverse liquids in the context of high-throughput molecular detection, ultimately ensuring detection reliability and stability. The experimental findings revealed notable improvements in pipetting accuracy after compensating for the three liquids. In particular, the pipetting error rates decreased by 52.5, 96, and 71.4% for serum, paraffin oil, and throat swabs, respectively. These results underscore the model's effectiveness in providing reliable support for the precise transfer of liquids on the high-throughput molecular detection platform.
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Affiliation(s)
- Haotian Zhang
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Xinyi He
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Shaochen Wang
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Fengxue Wu
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Yinjie Zhi
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Yanfeng Li
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Xiaonan Wang
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Yuxuan Ma
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
| | - Fan Meng
- Department of Anesthesiology, Sir Run Run Hospital Affiliated to Nanjing Medical University, Longmian Avenue 109, Jiangning District, Nanjing 211166, People's Republic of China
| | - Chao Wang
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Longmian Avenue 101, Jiangning District, Nanjing 211166, People's Republic of China
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MacLachlan R, Kanji F, Sakib S, Khan S, Pattyn C, M Imani S, Didar TF, Soleymani L. Superomniphobic and Photoactive Surface Presents Antimicrobial Properties by Repelling and Killing Pathogens. ACS APPLIED MATERIALS & INTERFACES 2023; 15:55287-55296. [PMID: 37976404 DOI: 10.1021/acsami.3c11074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Healthcare-acquired infections place a significant burden on the cost and quality of patient care in hospitals. Reducing contamination on surfaces within healthcare environments is critical for halting the spread of these infections. Herein, we report a bifunctional─repel and kill─surface developed using photoactive TiO2 nanoparticles integrated into a hierarchical scaffold (OmniKill). To quantify the repellency of OmniKill, we developed a touch-based assay, capable of simulating the transfer of individual pathogens, multiple pathogens, or pathogen-latent fecal matter from hands to surfaces. OmniKill repels bacterial pathogens by at least 2.77-log (99.8%). The photoactive material within OmniKill further reduces the viability of transferred pathogens on the surface by an additional 2.43-log (99.6%) after 1 h of light exposure. The antipathogenic effects─repel and kill─remain robust under complex biological contaminates such as feces. These findings show the potential use of OmniKill in reducing the physical transmission of bacterial pathogens in healthcare settings.
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Affiliation(s)
- Roderick MacLachlan
- Department of Engineering Physics, McMaster University, Hamilton L8S 4L7, Ontario, Canada
| | - Farhaan Kanji
- Department of Engineering Physics, McMaster University, Hamilton L8S 4L7, Ontario, Canada
| | - Sadman Sakib
- Department of Engineering Physics, McMaster University, Hamilton L8S 4L7, Ontario, Canada
| | - Shadman Khan
- School of Biomedical Engineering, McMaster University, Hamilton L8S 4L7, Ontario, Canada
| | - Cedric Pattyn
- Department of Engineering Physics, McMaster University, Hamilton L8S 4L7, Ontario, Canada
| | - Sara M Imani
- School of Biomedical Engineering, McMaster University, Hamilton L8S 4L7, Ontario, Canada
| | - Tohid F Didar
- School of Biomedical Engineering, McMaster University, Hamilton L8S 4L7, Ontario, Canada
- Department of Mechanical Engineering, McMaster University, Hamilton L8S 4L7, Ontario, Canada
| | - Leyla Soleymani
- Department of Engineering Physics, McMaster University, Hamilton L8S 4L7, Ontario, Canada
- School of Biomedical Engineering, McMaster University, Hamilton L8S 4L7, Ontario, Canada
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