This study aimed to assess the proximate composition, microbial quality, and sensory acceptability of canned Bambara beans in Ghana to determine their nutritional value and consumer perceptions. The research was conducted in Tamale in the northern region of Ghana, focusing on sensory evaluation, nutritional analysis, and consumer preferences for canned Bambara beans. The study utilized canned Bambara bean varieties sourced from local markets in Ghana. It involved sensory panels, proximate analysis, and microbial testing to evaluate the quality and safety of the canned products. Data analysis included sensory scoring, proximate composition determination, and microbial count assessments. The findings indicated positive consumer attitudes towards canned Bambara beans, emphasising their convenience, nutritional richness, and sensory appeal. Nutritional analysis revealed the nutrient content of the canned beans, highlighting their potential as a nutritious food source. Conclusions emphasised the importance of sensory attributes in consumer acceptance and women's role in producing and promoting Bambara beans. It is recommended that Increase awareness among consumers, especially women and homemakers, about the nutritional benefits and culinary versatility of canned Bambara beans. Educational campaigns highlighting canned Bambara beans' health advantages and convenience can encourage their inclusion in household diets. It is also recommended that women involved in the production and processing of Bambara beans should be supported and empowered through training, capacity building, and access to resources. Recognising the pivotal role of women in the Bambara bean value chain is essential for sustainable production practices and economic empowerment.

This charge-ahead paper suggests that transitioning the automotive industry towards a zero-carbon ecosystem from material to end-of-life can be accomplished through disruptive zero-carbon manufacturing in the broad area of all-electric vehicle production technology. To accomplish zero carbon emission automotive manufacturing in the vehicle assembly domain, future paradigms must converge on the decoupling of carbon dioxide emissions from automobile manufacturing and use the design, processing, and manufacturing conditions. The envisioned zero carbon emission vehicle manufacturing domain consists of two complementary components: (a) making more efficient use of energy and (b) reducing carbon in energy use. This paper presents the status of key scientific and technological advancements to bring the manufacturing model of today to a zero-carbon ecosystem for the entire automotive industry of tomorrow. This paper suggests the groundbreaking application of dynamic and distributed predictive scheduling algorithms and open sensing and visualization technology to meet the zero carbon emission vehicle manufacturing goals. Power-aware high-performance computing clusters have recently become a viable solution for sustainable production. Advances in scalable and self-adaptive monitoring, predictive analytics, timeline-based machine learning, and digital replica of cyber-physical systems are also seen co-evolving in the zero carbon manufacturing future. These methods are inspired by initiatives to decouple gross domestic product growth and energy-related carbon dioxide emissions. Stakeholders could co-design and implement shared roadmaps to transition the automotive manufacturing sector with relevant societal and environmental benefits. The automated mobility sector offers a program, an industry-leading example of transforming an automotive production facility to carbon neutrality status. The conclusions from this paper challenge automotive manufacturers to engage in industry offsetting and carbon tax programs to drive continuous improvement and circular vehicle flows via a multi-directional zero-carbon smart grid.