This review discusses the development and application of SnO₂ nanostructure-based acetone sensors for breath analysis. Acetone detection in exhaled breath is crucial for diagnosing metabolic disorders, particularly diabetes, where acetone levels are significantly higher in diabetic individuals compared to healthy people. Recent advancements in nanostructured gas sensing technologies have enabled the creation of highly sensitive and selective acetone sensors. These sensors utilize nanostructured metal oxides, such as SnO₂, which exhibit enhanced sensitivity and response times due to their high surface area and unique structural properties. The performance of acetone sensors is influenced by factors such as acetone concentration, operational temperature, and surface modifications. Various nanostructures, including flower-like, hollow microspheres, nanobelts, and mesoporous materials, have been explored to improve sensor performance. These structures offer increased surface area, enhanced gas interaction, and improved selectivity. The integration of catalytic materials, noble metals, and two-dimensional materials has further enhanced the sensitivity and selectivity of acetone sensors. Additionally, the use of hydrophobic coatings and humidity compensation algorithms has addressed the challenges posed by humidity in breath analysis. The review highlights the potential of SnO₂-based sensors in medical diagnostics, environmental monitoring, and industrial safety. The development of these sensors is crucial for early diagnosis and intervention in metabolic disorders, as well as for monitoring environmental air quality. The review also discusses the importance of sensor design, including the use of hierarchical structures, to achieve high sensitivity and selectivity in acetone detection. The integration of these sensors with electronic systems and the Internet of Things (IoT) has expanded their applicability in various fields, enabling real-time monitoring and data analysis. Overall, the review emphasizes the significance of nanostructured materials in the development of high-performance acetone sensors for breath analysis.This review discusses the development and application of SnO₂ nanostructure-based acetone sensors for breath analysis. Acetone detection in exhaled breath is crucial for diagnosing metabolic disorders, particularly diabetes, where acetone levels are significantly higher in diabetic individuals compared to healthy people. Recent advancements in nanostructured gas sensing technologies have enabled the creation of highly sensitive and selective acetone sensors. These sensors utilize nanostructured metal oxides, such as SnO₂, which exhibit enhanced sensitivity and response times due to their high surface area and unique structural properties. The performance of acetone sensors is influenced by factors such as acetone concentration, operational temperature, and surface modifications. Various nanostructures, including flower-like, hollow microspheres, nanobelts, and mesoporous materials, have been explored to improve sensor performance. These structures offer increased surface area, enhanced gas interaction, and improved selectivity. The integration of catalytic materials, noble metals, and two-dimensional materials has further enhanced the sensitivity and selectivity of acetone sensors. Additionally, the use of hydrophobic coatings and humidity compensation algorithms has addressed the challenges posed by humidity in breath analysis. The review highlights the potential of SnO₂-based sensors in medical diagnostics, environmental monitoring, and industrial safety. The development of these sensors is crucial for early diagnosis and intervention in metabolic disorders, as well as for monitoring environmental air quality. The review also discusses the importance of sensor design, including the use of hierarchical structures, to achieve high sensitivity and selectivity in acetone detection. The integration of these sensors with electronic systems and the Internet of Things (IoT) has expanded their applicability in various fields, enabling real-time monitoring and data analysis. Overall, the review emphasizes the significance of nanostructured materials in the development of high-performance acetone sensors for breath analysis.