Research on Self-powered Flexible Lactic Acid Analyzer in the Field of Building Sports Big Data

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In this rapidly developing era of data, big data technology is gradually penetrating into various fields, and sports are no exception. The rise of sports big data technology aims to improve sports performance through more scientific training methods, while reducing the harm of improper training to athletes' bodies. However, the key to building sports big data lies in real-time monitoring of key physiological data, which makes various analytical instruments crucial. They can transmit various physiological data of the human body to external platforms during or after exercise for further analysis, thus providing a solid foundation for the establishment of sports big data.

With the vigorous development of flexible electronic technology, wearable biosensors have become powerful assistants for real-time continuous monitoring of exercise physiology. These wearable devices can detect rich and diverse physiological information, among which self powered wearable biosensors are the key to driving the development of sports big data. In the past decade, the application fields of nanomaterials have continuously expanded, especially in catalysis, sensors, biosensors, and energy conversion and storage, achieving significant breakthroughs.

However, in building a sweat lactate analyzer, self powered carbon nanomaterials play an important role. This material has a micron scale pore structure, which presents significant advantages in size and morphology. The preparation process is crucial, and we chose the water bath method and annealing and calcination method to ensure that the required carbon nanomaterials have stable properties.

In practical applications, big data technology has become a key force leading the trend. Especially in the field of sports, the application of big data has achieved significant results. However, with the continuous mining of sports big data, we are also facing new challenges. Collecting physiological information during exercise requires the combination of biosensing technology and wireless technology to ensure the accuracy and completeness of data.

In this regard, non-invasive sweat lactate self powered biosensors have become a crucial aspect. It can continuously monitor physiological information in sweat in real-time, providing a valuable data source for building big data on exercise. By analyzing the lactate content in sweat, we can accurately understand the ability performance of athletes under different sports conditions, providing scientific basis for adjusting training methods.

The development of biosensing technology has made the collection of sports physiology information more convenient, and also provided unprecedented opportunities for the construction of sports big data. By analyzing comprehensive exercise records and physiological data, we can reveal the cyclical exercise patterns of athletes and the changing trends of various physiological indicators.

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