28 AI
reduces waste but also contributes to carbon footprint reduction, as it prevents unnecessary decomposition and CO2
release. Additionally, repurposing sorghum roots
aligns with circular economy principles, offering new economic opportunities for farmers and industries that previously discarded this biomass. If even a fraction of this 3 million tonne waste is used in high-performance skin care applications, it could revolutionize the way the industry approaches sustainability, merging eco-conscious practices with cutting-edge dermatological science. The molecules identified in
the sorghum roots belong to the strigolactone family. Strigolactones are known for their role in plant communication, but they also have remarkable bioactive properties. In addition to their outstanding effect on SIRT1, the molecules identified are also predicted to present anti-inflammatory (via ICAM1 and NF- KappaB inhibition) and antioxidant activities (via NO antagonism) (Figure 4). Even though those four molecules were
never described in relationship to SIRT1, a synthetic strigolactone called GR24 has already been shown to activate SIRT1. However, according to MeNow AI predictions, the natural strigolactones identified in Sorghum bicolor have a much higher affinity for SIRT1 compared to GR24.
AI leading the way to a circular economy As demonstrated with Sorghum bicolor, AI is a game-changer in upcycling and sustainability. By identifying high-value bioactive compounds in agricultural byproducts, AI helps transform waste into innovative skin care ingredients, reducing environmental impact while driving sustainable advancements in the beauty industry. MeNow’s proprietary AI technology goes
beyond discovery—it also optimizes extraction methods to achieve near zero-waste utilization. By designing intelligent extraction pipelines, AI can recommend a sequence of multiple extraction techniques, ensuring that each bioactive is isolated efficiently and repurposed for different applications. For example, the first ethanol extraction
phase was predicted to yield compounds ideal for anti-ageing, acting via SIRT1. Subsequent steps predicted the extraction of pigmentation- reducing agents in glycerine, which may be suitable for other personal care applications (Figure 5). By leveraging AI-driven sustainability
strategies, the beauty industry can significantly reduce resource waste, carbon footprint, and dependency on synthetic alternatives. This holistic approach aligns with circular economy principles, paving the way for an era where cutting-edge science meets environmental responsibility to create next-generation, sustainable skin care solutions.
AI as a catalyst for change in the cosmetics industry As the demand for more potent and inventive
PERSONAL CARE June 2025
Towards a Zero-waste Extraction Pipeline
Food
industry towards circular economy principles, minimizing waste and maximizing resource efficiency. More than just discovering new
compounds, AI is optimizing extraction processes, creating an advanced pipeline that combines multiple extraction techniques. This ensures that each valuable compound is carefully isolated, classified, and repurposed for the most effective use. Rather than discarding unused
Biofuel
materials, AI can guide formulators in designing targeted skin care products that utilize every molecule efficiently. For example, a single plant extract can be separated into multiple high-value fractions, each with its own specific cosmetic application, from anti-ageing to antioxidant protection and anti-inflammatory benefits. By integrating AI-driven insights into
Cosmetic use
every stage of formulation, sourcing, and sustainability, the cosmetics industry is poised for a future where technology and nature work hand in hand. The shift from linear to circular production is no longer just an environmental aspiration—it is becoming an industry standard, with AI leading the way toward a smarter, greener, and more innovative beauty landscape.
Ethanol extraction SIRT 1 activators
Glycerin extraction Melanogenesis inhibition
Figure 5: AI-driven sustainability strategies for Sorghum bicolor agriculture. Roots that are discarded as agricultural waste were analysed by MeNow’s system, and predicted to yield compounds ideal for anti-ageing (via SIRT1 activation, among other activities) in the first ethanol extraction phase. Subsequent steps predicted the extraction of pigmentation- reducing agents in glycerine, which may be suitable for other personal care applications
natural ingredients in cosmetics continues to rise, AI provides the answer by accelerating the discovery of highly effective botanical actives. By analyzing vast datasets, predicting synergistic effects, and refining extraction processes, AI uncovers novel bioactive combinations that enhance efficacy and stability. This not only meets consumer expectations for high-performance natural products but also empowers brands to stay ahead in a competitive market where innovation and sustainability are key drivers of success.
AI is not just a tool for efficiency—it
is a driver of fundamental change in the cosmetics industry. As demonstrated with Sorghum bicolor, AI is transforming waste into valuable skin care ingredients, redefining how sustainability, science, and innovation intersect. By identifying bioactive molecules in agricultural byproducts, AI is pushing the
PC
References 1. Bielach-Bazyluk A, Zbroch E, Mysliwiec H, Rydzewska-Rosolowska A, Kakareko K, Flisiak I, Hryszko T. Sirtuin 1 and Skin: Implications in Intrinsic and Extrinsic Aging—A Systematic Review. Cells. 2021; 10(4):813
2. Ming M, Zhao B, Shea CR, Shah P, Qiang L, White SR, Sims DM, He YY. Loss of sirtuin 1 (SIRT1) disrupts skin barrier integrity and sensitizes mice to epicutaneous allergen challenge. J Allergy Clin Immunol. 2015; Apr;135(4):936-945.e4
3. Mukherjee S, Date A, Patravale V, Korting HC, Roeder A, Weindl G. Retinoids in the treatment of skin aging: an overview of clinical efficacy and safety. Clin Interv Aging. 2006; 1(4):327-48
4. Kolli SS, Pecone D, Pona A, Cline A, Feldman SR. Topical Retinoids in Acne Vulgaris: A Systematic Review. Am J Clin Dermatol. 2019; Jun;20(3):345-365
5. Wiciński M, Erdmann J, Nowacka A, Kuźmiński O, Michalak K, Janowski K, Ohla J, Biernaciak A, Szambelan M, Zabrzyński J. Natural Phytochemicals as SIRT Activators- Focus on Potential Biochemical Mechanisms. Nutrients. 2023; Aug 14;15(16):3578
6. Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RK. Artificial intelligence in drug discovery and development. Drug Discov Today. 2021; Jan;26(1):80-93
7. Huang RY, Pei L, Liu Q, Chen S, Dou H, Shu G, Yuan ZX, Lin J, Peng G, Zhang W, Fu H. Isobologram Analysis: A Comprehensive Review of Methodology and Current Research. Front Pharmacol. 2019; Oct 29;10:1222
8. Dahlberg J. The Role of Sorghum in Renewables and Biofuels. Methods Mol Biol. 2019;1931:269-277
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