Kashiwa, Japan

Emi Murakami


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 71(Granted Patents)


Company Filing History:


Years Active: 1998

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1 patent (USPTO):Explore Patents

Title: Innovations by Emi Murakami

Introduction

Emi Murakami is a notable inventor based in Kashiwa, Japan. She has made significant contributions to the field of biological sample analysis through her innovative patent. Her work focuses on improving the efficiency and effectiveness of washing reaction containers used in the analysis of body fluid samples.

Latest Patents

Emi Murakami holds a patent for a method of washing containers used for the reaction of body liquid samples. This patent describes a process where a body fluid sample is reacted with a reagent in a reaction container. After measuring the reaction solution, the solution is discharged from the container. The vacant reaction container is then washed using a detergent solution that contains multiple types of surface-active agents. The detergent solution is a mixed solution comprising polyoxyethylene alkyl ether, polyoxyethylene polyoxypropylene glycol ether, N-acyl amino acid salt, and polyacrylic salt. This innovative washing method effectively eliminates the negative effects caused by incomplete washing of reaction containers in automated biological sample analysis systems.

Career Highlights

Throughout her career, Emi Murakami has worked with prominent companies such as Hitachi, Ltd. and Hitachi Instruments Engineering Co., Ltd. Her experience in these organizations has contributed to her expertise in the field of biological sample analysis and innovation.

Collaborations

Emi has collaborated with notable coworkers, including Hiroko Fujita and Mitsuo Hattori. These collaborations have likely enriched her work and contributed to her innovative approaches in the field.

Conclusion

Emi Murakami's contributions to the field of biological sample analysis through her innovative patent demonstrate her commitment to improving laboratory processes. Her work continues to influence the efficiency of automated systems in analyzing biological samples.

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