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September 10, 2025Processes27 citationsOpen Access

Understanding Bio-Based Surfactants, Their Production Strategies, Techno-Economic Viability, and Future Prospects of Producing Them on Sugar-Rich Renewable Resources

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RSRajat SharmaBLBuddhi Lamsal

Key Points

  • Bio-based surfactants show significant market growth potential, expanding from USD 4.41 billion in 2023 to USD 6.71 billion by 2032.
  • Current production costs for biosurfactants range from 5 to 20 USD/kg, making them less competitive than synthetic surfactants at about 2 USD/kg.
  • Utilizing sugar-rich renewable resources has driven production costs down to as low as 3.8 USD/kg through advanced techniques like enzyme catalysis.
  • Artificial intelligence and machine learning can optimize production processes, with a goal to reduce biosurfactant costs below 2.50 USD/kg to match synthetic alternatives.

Abstract

Bio-based surfactants have demonstrated significant potential as economically viable and environmentally sustainable alternatives to petroleum-derived surfactants, with the global biosurfactant market expanding from USD 4.41 billion in 2023 to a projected USD 6.71 billion by 2032, representing a compound annual growth rate of 5.4%. While conventional surfactants such as alkyl aryl sulfates and alkyl benzene sulfonates exhibit extremely high aquatic toxicity and impose substantial ecological costs, biosurfactants including lipopeptides (surfactin, iturin, fengycin, lichenysin) produced by Bacillus species and glycolipids (rhamnolipids, sophorolipids, trehalose lipids, mannosylerythritol lipids) from Pseudomonas demonstrate superior biodegradability. However, current biosurfactant production costs, ranging from 5 to20 USD/kg, cannot compete effectively with synthetic surfactants, averaging approximately 2 USD/kg, necessitating comprehensive process improvements to achieve commercial viability. The utilization of renewable agricultural feedstocks containing 65–70% carbohydrates, including corn stover, sugarcane bagasse, rice bran, and palm oil mill effluent, has achieved production costs as low as 3.8 USD/kg through advanced optimized pretreatment technologies, enzyme catalysis, simultaneous saccharification and fermentation (SSF), and downstream processes, resulting in cost reductions compared to conventional methods. The implementation of artificial intelligence and machine learning algorithms for bioprocess optimization enables simultaneous optimization of genetic engineering, metabolic pathways, and fermentation parameters, achieving yield improvements and cost reductions, with projections indicating production costs below 2.50 USD/kg being needed in the next decade to achieve cost parity with synthetic surfactants, maintaining economic viability.

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Cite This Study

Sharma et al. (2025) studied this question.

synapsesocial.com/papers/68c182529b7b07f3a060ede5https://doi.org/10.3390/pr13092811
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