Brooklyn, MD, United States of America

Reinaldo C Reina


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Reinaldo C Reina: Innovator in Aroma Detection Systems

Introduction

Reinaldo C Reina is an accomplished inventor based in Brooklyn, MD (US). He has made significant contributions to the field of aroma detection systems, particularly in the context of food and beverage quality assessment. His innovative work has led to the development of a unique system that utilizes machine learning to analyze aromas and determine the quality of consumables.

Latest Patents

Reinaldo C Reina holds a patent for an "Aroma detection system for food and beverage and conversion of detected aromas to natural language descriptors." This system is designed to assess the age and quality of food or beverages by utilizing gas sensors that feed data into a machine learning model. The system includes an electronic nose with a housing that contains an air channel, where each sensor's active portion is strategically placed. Additionally, the system predicts natural language descriptors associated with aromas based on outputs from the gas sensors, enhancing the understanding of food and beverage quality.

Career Highlights

Throughout his career, Reinaldo has worked with notable organizations such as UT-Battelle, Inc. and the University of Tennessee Research Foundation. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in aroma detection technology.

Collaborations

Reinaldo has collaborated with talented individuals in his field, including Ilia N Ivanov and Eric S Muckley. These partnerships have fostered innovation and have been instrumental in advancing the technology behind aroma detection systems.

Conclusion

Reinaldo C Reina's work in aroma detection systems exemplifies the intersection of technology and food science. His innovative patent and collaborations highlight his commitment to improving the quality assessment of food and beverages through advanced detection methods.

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