甲壳素
萃取(化学)
共晶体系
化学
深共晶溶剂
化学工程
溶剂
工艺工程
低能
过程(计算)
色谱法
工艺优化
高能
材料科学
计算机科学
聚合物
溶剂萃取
多糖
生物系统
纳米技术
表征(材料科学)
有机化学
壳聚糖
一步到位
生化工程
组合化学
羊毛脂
高效能源利用
纳米复合材料
碳-13核磁共振
制浆造纸工业
质子核磁共振
作者
İlker Kan,Xabier Erdocia,Amaia Morales,Murat Kaya,Jalel Labidi
标识
DOI:10.1016/j.ijbiomac.2026.153930
摘要
Chitin is one of the most abundant biopolymers and has attracted growing interest due to its biodegradability, renewability, and expanding applications. However, conventional chitin extraction methods rely heavily on harsh chemicals and energy-intensive processes. Herein, a protocol for isolating chitin from spider crab shells using a sequential Deep Eutectic Solvent optimization strategy is established. The experimental process systematically screened solvent parameters, first identifying systems outperformed with acidic, neutral and basic formulations. Among the acidic candidates, choline chloride:lactic acid (ChCl:LA) was selected for its superior efficiency and sustainability profile. Subsequent optimization of the solid-to-liquid ratio revealed that 1:15 is sufficient to maximize mass transfer, minimizing solvent usage. Then, temperature and time profiling defined two distinct operating windows that achieved comparable high removal efficiencies: a rapid higher-temperature and a lower-temperature route. Physicochemical characterization via ATR-FTIR, XRD, and solid-state 13 C CP/MAS NMR was employed to validate the identity of the isolated material. Notably, NMR analysis provided definitive evidence of the α-chitin polymorph and confirmed the preservation of a fully acetylated backbone without undesirable deacetylation, corroborating the native structure with high crystallinity. Specific energy monitoring revealed a trade-off: the 80 °C process is efficient when time saving is desired, whereas the 30 °C process is efficient when energy saving is prioritized, consuming 25% less energy, quantitatively challenging the assumption that faster processing yields the lowest energy footprint. These findings offer a scalable, low-carbon footprint solution that allows for strategic selection between maximum throughput and minimum energy consumption.
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