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A novel blood spot with oil sealing for antioxidation and completeness preservation of erythrocytes and hemoglobin
Analytica Chimica Acta ( IF 5.7 ) Pub Date : 2024-11-03 , DOI: 10.1016/j.aca.2024.343390
Genhan Zha, Xuan Xiao, Youli Tian, Hengying Zhu, Qiang Zhang, Changjie Yu, Honggen Li, Yuxing Wang, Chengxi Cao, Ping Chen

Section snippets

Hb oxidation in traditional DBS

The feasibility of preserving Hb on filter has been verified and widely accepted in clinical application.[[18], [19]] When traditional DBS is used to preserve blood samples, the color of fresh blood spot turns from bright red to brown within 4 h after blood loading, as shown in Fig. 1A, signifying the oxidation of ferroheme (Fe2+) to protoheme (Fe3+).[20] The degree of oxidation of blood samples from whole blood and DBS was analyzed by mIEF respectively, as shown in Fig. 1B, which is sensitive

Discussion

In this experiment, the newly-developed BS-OS tool not only inhibited hemoglobin oxidation but also preserved red blood cells. This approach provides not only information about the relative content of hemoglobin but also essential details such as nucleic acid data and red blood cell morphology, offering significantly more comprehensive sample information compared to traditional DBS. Thus, this BS-OS expands the blood spot-based preservation techniques to both biomedical research and clinic

Conclusions

DBS has been widely employed in biomedical research and clinical diagnosis due to their cost-effectiveness, simplicity of operation and convenient to transport. However, the traditional DBS method encounters challenges prevention of Hb oxidation during the drying process interferes with subsequent diagnostic analyses. A novel blood preservation method of BS-OS is proposed, involving the use of gap-isolated sampling filter paper and cold storage in an oil-sealed environment. This design reduces

CRediT authorship contribution statement

Genhan Zha: Writing – original draft, Formal analysis, Data curation, Conceptualization. Xuan Xiao: Methodology, Formal analysis. Youli Tian: Methodology, Formal analysis. Hengying Zhu: Methodology, Formal analysis. Qiang Zhang: Visualization, Funding acquisition. Changjie Yu: Data curation, Conceptualization. Honggen Li: Software, Methodology. Yuxing Wang: Software. Chengxi Cao: Writing – review & editing, Supervision, Project administration, Funding acquisition, Conceptualization. Ping Chen:

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by Guangxi Science and Technology bases & Talent Special Project (No. AD23026025), Ministry of Science and Technology of the People's Republic of China (No. KY202002008), National Natural Science Foundation of China (No. 81703801, 22104082, 22074091, and 32175034), Shanghai Jiao Tong University “Jiaotong University Star” Program Medical-Industrial Cross-Research Fund Youth Project (Grant No. 24X010301289).
更新日期:2024-11-03
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