Evidence map›Paper›PMID 42302648›Full record

ArticleUltrasonics sonochemistry2026

Ultrasound-assisted deep eutectic solvent extraction of polysaccharides from Melastoma dodecandrum: RSM optimization, ANN prediction, kinetics, structural characterization and cellular antioxidant activity.

Waqas Haider, Zhixi Lin, Kuixu Gao, Jingchao Li, Yafei Li, Jinnan Zhong, Liuwei Yuan, Zhouxiang Chen, Yuchi Chen, Zhishan Ding and 2 more

Abstract read
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Article in Ultrasonics sonochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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12 authors.

Waqas HaiderSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Zhixi LinSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Kuixu GaoSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Jingchao LiSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Yafei LiSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Jinnan ZhongSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Liuwei YuanSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Zhouxiang ChenSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Yuchi ChenSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China.
Zhishan DingSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China. Electronic address: dzszjtcm@163.com.
Fangmei ZhouSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China. Electronic address: zfm1213@163.com.
Mingyuan ZhouSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 548 Binwen Rd., Hangzhou, Zhejiang 310053, China. Electronic address: 20211110@zcmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural polysaccharides have attracted much attention due to their biocompatibility, biodegradability, low toxicity and various biological activities. However, the extraction of polysaccharides from Melastoma dodecandrum Lour. (MD) in a sustainable and effective way remains a challenge. In the present study ultrasound-assisted deep eutectic solvent (UA-DES) extraction strategy was developed to improve the yield and bioactivity of MD polysaccharides (MDPs). Among the twenty-five prepared DES systems, DES-3.2 (choline chloride:citric acid, 1:2) showed the best extraction performance. Response surface methodology (RSM) was applied for optimization of the extraction parameters and artificial neural network (ANN) model was established to predict the extraction behavior and performance. In addition, extraction kinetics was successfully described by second-order kinetic model. Under the optimized conditions of liquid-solid ratio of 30 mL/g, ultrasonic temperature of 60 °C, ultrasonic power of 360 W and ultrasonic time of 90 min, the MDPs yield reached 1.38 %, which was increased by 51.65 % compared with conventional HWE. Furthermore, ANN outperformed RSM in prediction accuracy and effectively captured the complex nonlinear interactions inherent to the extraction process. Structural characterization (SEM, FT-IR, XRD, HPGPC and TGA) analysis revealed that UA-DES extraction caused significant disruption of plant cell walls without changing the characteristic functional groups and amorphous structure of MDPs accompanied by higher molecular weight and thermal stability. Monosaccharide composition analysis identified galactose, galacturonic acid, and glucose as the predominant components with UA-DES extraction significantly enrich the galacturonic acid content compared with HWE. Further, UA-DES extracted MDPs had stronger antioxidant capacity in chemical assays and exerted higher antioxidant and anti-inflammatory effects in cells by significantly decreasing intracellular reactive oxygen species (ROS) and nitric oxide (NO) levels in LPS induced RAW264.7 macrophages without cytotoxicity. Additionally, DES-3.2 maintained over 91.25 % recovery after five recycling cycles, with only a 5.78 % loss in extraction efficiency of MDPs. Despite the modest absolute yield of 1.38 %, the excellent recyclability of DES-3.2 provides a strong economic counterbalance by reducing solvent costs and waste generation. Overall, UA-DES extraction is an effective, green, high-performance approach for extracting structurally distinct and bioactive MDPs for applications in functional foods, nutraceuticals and pharmaceuticals.

Indexed as

AntioxidantsChemical FractionationDeep Eutectic SolventsMelastomataceaeNeural Networks, ComputerPolysaccharidesUltrasonic WavesAnimalsKineticsAntioxidantsDeep Eutectic SolventsPolysaccharidesANNAntioxidant ActivityGreen extractionMelastoma dodecandrumRSMUltrasound-assisted extraction

Identifiers

PMID42302648
PMCPMC13292385

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.