Starch Extraction Machine for Banana

Abstract

Starch is a biopolymer that finds immense applications in food industries, pharmaceutical industries, textile industries and paper industries because of its biodegradability, renewability and versatile functional characteristics. The traditional starch extraction methods used by small and rural industries are usually labour-intensive, water-intensive, energy-intensive, as well as inconsistent in crop and quality. These constraints limit productivity and put a barrier to sustainable processing. This report shows the design and development of an automated starch extraction system that is expected to enhance efficiency, yield and reliability of the processes and reduce the cost of operation and environmental impact. The proposed system measures mechanised washing, grinding, filtration, dewatering, and drying processes with automated control to provide even conditions of processing. The focus is put on energy-efficient functioning, maximal water use based on recycling systems, and the choice of the food-grade materials to address safety requirements. Scalability, portability and suitability of the system design to small and medium-scale agro-processing units are also taken into consideration. Even more sophisticated monitoring tools, such as sensor-based feedback and optional vision-assisted quality analysis, are used to increase process accuracy and consistency. Systematic mechanical design, choice of material, optimisation of the process, and evaluation of performance in terms of starch yield, purity, water consumption, and energy consumption is the methodology. Experimental outcomes prove the high level of extraction and manual intervention decreases in comparison with the conventional ones. The suggested system will contribute to the sustainable agro-industrial development, allowing the production of starch at low costs and an enhanced quality and lower ecological footprint. This will be useful to the rural entrepreneurs, farmers and the small scale industries in need of modernization without requiring to spend much in terms of capital.

Introduction

Starch is a widely used natural carbohydrate polymer with applications in the food, pharmaceutical, textile, paper, and biodegradable materials industries. It is commonly extracted from crops such as cassava, potato, maize, rice, and bananas. Traditional starch extraction methods are labor-intensive, consume large amounts of water, produce inconsistent quality, and result in significant post-processing losses. To address these challenges, this project proposes an automated starch extraction system designed for small and medium-scale agro-processing industries.

The proposed machine emphasizes modular design, low energy consumption, efficient water utilization, food safety, and improved starch yield and purity. Its objectives are to design and fabricate the machine, evaluate starch yield and quality for different banana varieties, and estimate the overall production cost.

The literature survey highlights that mechanical automation, including washing, grinding, filtration, and dewatering, improves extraction efficiency, product consistency, and hygiene while reducing labor requirements. Researchers also emphasize energy-efficient processing, water recycling, smart monitoring using sensors, and sustainable system design. However, existing automated systems are often expensive and unsuitable for small-scale users, creating a need for a simple and affordable solution.

The project scope includes applications in small and medium-scale industries, improved process automation, energy savings, water conservation through recycling, enhanced food safety, and scalability for future technological upgrades.

The methodology involves selecting unripe bananas (Nendran, Monthan, Robusta, Poovan, and Karpuravalli), followed by mechanical grinding to release starch granules, slurry preparation with controlled water addition, filtration using a rotating paddle and sieve, dewatering, controlled drying, and quality assessment of the final starch.

The proposed system consists of a water reservoir, starch extraction chamber with high-speed motor-driven blades, strainer filter, starch collection unit, waste outlet, and automated control unit. These components work together to ensure efficient grinding, separation, reduced contamination, and minimal manual intervention.

Experimental results indicate that Nendran and Monthan bananas produce the highest starch yields among the five varieties tested. Banana starch, although more expensive than conventional starches, offers greater nutritional value due to its high resistant starch content, low glycemic index, gluten-free properties, and digestive health benefits. These characteristics make it suitable for value-added products such as health bars, gluten-free foods, and diabetic-friendly products, providing higher market value and profitability.

Conclusion

Starch is also a useful natural carbohydrate polymer that has a wide application in food, pharmaceutical, textile, paper and bio-based materials [23]. It is mostly obtained in agricultural products like cassava, potato, maize, rice and other tubers [21]. In the developing nations, starch extraction is usually conducted through the use of traditional methods which are highly labor intensive, consume more water and have crude tools [16]. Such processes frequently lead to poor extraction rates, irregular quality of the products and high losses during post-processing [1].

References

[1] S. K. Singh, A. K. Sharma, and R. K. Gupta, “Design and development of an automated starch extraction machine for small-scale industries,” International Journal of Food Engineering, vol. 16, no. 4, pp. 1–10, 2020. [2] P. Kumar, V. K. Jain, and M. Sharma, “Starch extraction from mango seed kernels using mechanical and enzymatic methods,” Journal of Food Processing and Preservation, vol. 45, no. 6, pp. 1–12, 2021. [3] A. B. Patil, S. D. Kulkarni, and R. M. Joshi, “Energy-efficient drying techniques for starch processing,” Journal of Cleaner Production, vol. 310, pp. 1–9, 2022. [4] G. V. Reddy, K. S. Rao, and D. V. Prasad, “Vision-based quality monitoring system for starch extraction,” Computers and Electronics in Agriculture, vol. 176, pp. 1–8, 2020. [5] N. K. Das, S. Roy, and P. K. Ghosh, “Design of a portable starch extraction unit for small-scale farmers,” Agricultural Engineering Today, vol. 45, no. 3, pp. 23–30, 2021. [6] R. S. Mehta, J. P. Shah, and H. M. Patel, “Optimization of water usage in starch extraction using closed-loop recycling,” Water Resources Management, vol. 36, pp. 1221–1232, 2022. [7] V. S. Nair, A. K. Pillai, and T. G. Kumar, “Ultrasonic-assisted starch extraction: Process enhancement and yield improvement,” Ultrasonics Sonochemistry, vol. 89, pp. 1–7, 2023. [8] D. K. Singh, R. P. Yadav, and S. K. Verma, “IoT-enabled smart starch extraction machine for industrial applications,” International Journal of Industrial Automation, vol. 5, no. 2, pp. 55–63, 2023. [9] M. K. Gupta, S. L. Jain, and A. R. Sharma, “Design and simulation of a continuous screw press for starch extraction,” Journal of Food Engineering, vol. 350, pp. 1–10, 2024. [10] P. V. Rao, S. N. Murthy, and K. L. Prasad, “AI-based process optimization in starch extraction systems,” Artificial Intelligence in Agriculture, vol. 8, pp. 100–108, 2024. [11] A. K. Roy, B. C. Das, and C. D. Ghosh, “A review of starch extraction technologies in India,” Indian Journal of Agricultural Sciences, vol. 90, no. 11, pp. 2095–2102, 2020. [12] S. M. Khan, F. A. Siddiqui, and M. Z. Ansari, “Multi-stage filtration techniques for high-purity starch production,” Separation and Purification Technology, vol. 259, pp. 1–8, 2021. [13] R. K. Singh, A. K. Dubey, and V. K. Singh, “Mechanical characterization of starch-bearing raw materials,” Biosystems Engineering, vol. 214, pp. 45–54, 2022. [14] P. S. Reddy, G. R. Kumar, and S. V. Rao, “Solar-powered starch extraction unit for remote agricultural regions,” Renewable Energy Applications, vol. 15, no. 1, pp. 12–19, 2023. [15] A. K. Sharma, B. N. Singh, and C. P. Gupta, “Automation of washing and dewatering stages in starch extraction,” International Journal of Food Automation, vol. 4, no. 3, pp. 87–95, 2024. [16] S. K. Das, P. K. Saha, and R. N. Ghosh, “Low-cost starch extraction machine using locally available materials,” Journal of Rural Technology, vol. 12, no. 2, pp. 34–41, 2020. [17] V. K. Sharma, A. K. Gupta, and R. S. Chauhan, “Membrane filtration for starch recovery from wastewater,” Journal of Environmental Chemical Engineering, vol. 9, no. 5, pp. 1–9, 2021. [18] M. P. Singh, S. K. Yadav, and D. K. Singh, “Predictive maintenance of starch extraction machines using vibration analysis,” Mechanical Systems and Signal Processing, vol. 165, pp. 1–11, 2022. [19] J. R. Kumar, L. N. Prasad, and T. V. Rao, “Continuous flow reactor for enzymatic starch hydrolysis,” Biochemical Engineering Journal, vol. 188, pp. 1–8, 2023. [20] S. B. Patil, R. D. Kadam, and A. V. Deshmukh, “Life cycle assessment of starch extraction technologies,” Sustainable Production and Consumption, vol. 41, pp. 200–210, 2024. [21] FAO, Processing of Roots and Tubers in Developing Countries, Food and Agriculture Organization of the United Nations, Rome, 2020. [22] ASTM International, Standard Test Methods for Starch and Starch Products, ASTM D7496, 2021. [23] R. L. Whistler and J. N. BeMiller, Starch: Chemistry and Technology, 3rd ed., Academic Press, New York, 2019. [24] M. J. Watson and J. K. Johnson, “Food-grade material selection for processing equipment,” Journal of Food Safety Engineering, vol. 14, no. 2, pp. 75–83, 2020. [25] ISO 22000, Food Safety Management Systems – Requirements for Any Organization in the Food Chain, International Organization for Standardization, Geneva, 2018. [26] DEVELOPMENT OF A CASSAVA STARCH EXTRACTION MACHINE Olutayo, L. A, Mogaji K.O and FasoyinS.A , Rufus Giwa Polytechnic, Owo, Ondo-state, Nigeria, 2018 [27] Banana Starch: Properties Illustration and Food Applications—A Review-Sanju Bala Dhull , Tanu Malik,, Ramandeep Kaur, Pradyuman Kumar, Naveet Kaushal and Ajay Singh [28] A. S. Nair et al., “Variability characterization in Nendran ecotypes of banana (Musa spp.) using genetic markers,” Longdom Publishing SL, 2024. [29] J. H. S. (IIHR), “Genetic diversity studies among AAB group Indian banana cultivars,” Journal of Horticultural Sciences, vol. 12, no. 1, pp. 27–33, 2017. [30] National Horticulture Board (NHB), “Banana (Musa spp.) – Varietal bulletin,” [31] Global Agriculture, “Banana Variety Monthan (ABB),” Seed industry banana variety description, 2023. [32] Global Agriculture, “Banana Variety Robusta (AAA),” Seed industry cultivar profile page. [33] ProMusa, “Ney Poovan – AB genome group,” Improving the understanding of banana, 2020. [34] A. S. Rajamanickam et al., “Evaluation of qualitative traits in banana (Musa spp.),” Int. J. Current Microbiology and App. Sci., 2018. [35] ICAR–NRCB, “Genomic groups of bananas – ABB”, National Research Centre for Banana,

Copyright

Copyright © 2026 Kayalvizhi S, Rithani Sree B A, Jayashankari M, Jessica Hannah R. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.