Conventional methods for transporting biological materials typically use dry ice or ice for preservation but often overlook important aspects of temperature monitoring and metrological control. These methods generally do not include temperature sensors to track the thermal conditions of the materials during transport, nor do they apply essential metrological practices such as regular sensor calibration and stability checks. This lack of precise monitoring poses significant risks to the integrity of temperature-sensitive biological materials. This study presents a statistical analysis of DS18B20 digital temperature sensors used in an experimental refrigeration system based on thermoelectric modules. The aim was to verify sensor consistency and investigate sources of measurement error. The research was motivated by a prior phase of study, which revealed significant discrepancies of approximately 3 °C between experimental temperature data and numerical simulations. To investigate a potential cause, we conducted a case study analyzing measurements from three identical temperature sensors (same model, brand, and manufacturer). Statistical analyses included ANOVA (analysis of variance) and Tukey’s test with a 95% confidence interval. Since the data did not follow a normal distribution (p-value < 0.05), non-parametric methods such as the Kruskal–Wallis and Levene’s procedures were also applied. The results showed that all sensors recorded statistically significant different temperature values (p-value < 0.05). Although experimental conditions were kept consistent, temperature differences of up to 0.37 °C were observed between sensors. This finding demonstrates an inherent inter-sensor variability that, while within manufacturer specifications, represents a source of systematic error that can contribute to larger discrepancies in complex systems, highlighting the need for individual calibration.

Objective: The objective of this study is to evaluate automotive-related environmental technologies that may influence consumer preference in choosing a more sustainable automobile. Theoretical Framework: This study is based on research that uses the Delphi Technique as a method for assessing sustainability in different social contexts. The analysis also considered the experience and perceptions of automotive market experts regarding the criteria for consumers to purchase sustainable vehicles. Method: The research, exploratory and descriptive, integrated qualitative and quantitative methods, with emphasis on the use of questionnaires suggested by the Delphi Technique for validation of sustainable indicators. The study involved two groups of automotive market experts, totaling a sample of 50 participants, 39 consumers and 11 car sellers. Results and Discussion: The results showed that the expectation of 69.2% of consumers surveyed regarding sustainable information in cars is directly linked to the use of green seal. Research Implications: The evidence found emphasizes the urgency of implementing actions that promote improvements in automobiles, in order to position them as more sustainable in the eyes of the consumer. In addition, the study provides insights for the automotive industry to support environmental initiatives. Originality/Value: This research contributes to the literature by highlighting recent improvements for the automotive sector, based on the convergence of responses indicated by experts in the field of study, which benefit both society and the environment, thus reinforcing the Sustainable Development Goals of the 2030 Agenda.