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Purification of biodiesel with dry adsorbents is an alternative method, as it uses compounds that eliminate the need for water in the process without generating liquid effluent. Currently, there is little discussion about the reuse of different types of adsorbents and in this context, the present work presents an efficient method of purification and investigates the performance of the reuse of Magnesol® in the purification of biodiesel in order to generate less waste to the environment. Therefore, the Magnesol® used was washed with several solvents with different polarity characteristics. Among the solvents tested, THF is the best solvent for the purification of Magnesol® and, after optimizing the Magnesol® purification process, it was concluded the best conditions are three washes in solvent / adsorbent ratio 30:1 at room temperature, resulting in only 3.89% of the residual value of contaminants and being an alternative for biodiesel companies.

Speech recognition allows natural communication between the humansand machines. With Industry 4.0 there is a great demand forsystems that perform this task, since human-machine integrationsare increasingly attractive. Currently, there are several tools and resourcesthat perform this activity, with some companies providingtheir audio recognition services through the Application ProgrammingInterface, such as Microsoft, Google, IBM and Wit. On theother hand, there are offline libraries and open source that can alsobe explored like Vosk. Each company has its business rule and itsspecificity, in this sense it is difficult to know which is the most interestingfor each situation. Thus, a comparison was made betweenspeech recognition services in terms of usability, limitation andprecision. In the comparison, speech recognition performance metricswere used in a set of audios, using the programming languagePython.