[P004] Poster

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[P02-274] Optimization of Alkali Pretreatment Process for Invasive Species Solidago altissima L. Based on Response Surface Methology

○Seungeun Kim¹, Seunghee Kim¹, Soeun Shin¹, Minji Kim¹, Yunseok Song¹, Hong Ki Kim¹, Hyerim Son¹, Hyung-Eun An², Hah Young Yoo¹ (1. Department of Biotechnology, Sangmyung University, Seoul 03016, Republic of Korea (Korea), 2. Institute of Intelligence Informatics Technology, Sangmyung University, Seoul 03016, Republic of Korea (Korea))

Keywords:

Solidago altissima L.,Response surface methology,Alkaline pretreatment,Enzymatic hydrolysis,Glucose

Solidago altissima L. is one of the harmful invasive species with high environmental adaptability and rapid reproductive capacity, widely recognized as a major threat to native ecosystems. The current management approach relies primarily on removal and disposal, which result in avoidable environmental burdens and economic costs. This study aimed to enhance the valorization of S. altissima by developing a bioconversion process to produce fermentable sugars that can be used as substrates for microbial fermentation. First, analysis of the carbohydrate composition revealed that S. altissima contains approximately 25.16% glucan, which can be converted into glucose. To enhance glucose recovery from S. altissima, alkali pretreatment was applied and optimized based on the central composite design-response surface methology (RSM). The effects of three independent variables (temperature, time, and NaOH concentration) on glucan content (GC), solids recovery (SR), and enzymatic digestibility (ED) were evaluated. As a result, the optimal conditions that maximize GC, ED, and SR were determined as follows: temperature 31.86 °C, time 60 min, and NaOH concentration 3.16%. According to the predictive model, GC, SR, and ED were estimated at 32.18%, 49.55%, and 67.05%, respectively. The predicted values of GC (32.18%), SR (49.55%), and ED (67.05%) showed in high agreement with the experimental values of 31.44%, 48.00%, and 70.80%, with error rates of 2.33%, 3.15%, and 5.58%, respectively. These results demonstrate the reliability of the optimized conditions and support that S. altissima has potential as a feedstock of glucose for microbial fermentation.
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