基于金属有机框架材料固定化漆酶对植物油中黄曲霉毒素B1和玉米赤霉烯酮的降解OA
Degradation of Aflatoxin B1 and Zearalenone in Vegetable Oils Using Metal-Organic Framework-Immobilized Laccase:A Comparative Study
本研究以Fe-金属有机框架(metal-organic frameworks,MOFs)(Fe-1,3,5-苯三甲酸(1,3,5-benzenetricarboxylic acid,BTC))为载体,以漆酶(laccase,Lac)为目标物,通过原位封装法合成Lac@Fe-BTC生物复合材料,并探究其对食用油中黄曲霉毒素(aflatoxin B1,AFB1)和玉米赤霉烯酮(zearalenone,ZEN)的去除作用及其机制.结果表明,MOFs固定化后的Lac热稳定性提高,其对花生油中AFB1和ZEN的去除率分别为71.64%和60.98%,且循环4 次后去除率仍分别保持在52.47%和46.82%,显著高于游离Lac.此外,对真菌毒素及其降解产物进行结构鉴定和斑马鱼毒理实验,证实了降解产物毒性显著降低.综上,与游离Lac相比,该方法所制备固定化Lac展现出更高的真菌毒素去除速率、稳定性和可重复使用性,在真菌毒素脱除领域具有良好的应用前景.
This study used Fe-based meta-organic frameworks(MOFs)as the carrier and laccase(Lac)as the functional component to synthesize Lac@Fe-1,3,5-benzenetricarboxylic acid(BTC)biocomposite through an in situ encapsulation method.The removal efficiency and mechanism of this composite for aflatoxin B1(AFB1)and zearalenone(ZEN)in edible oil were systematically investigated.Results indicated that the thermal stability of laccase improved after immobilization on MOFs,and the removal rates of AFB1 and ZEN by the immobilized laccase were 71.64%and 60.98%in peanut oil,respectively.After four reuse cycles,the removal rates remained at 52.47%and 46.82%,respectively,significantly higher than those of free laccase.Furthermore,structural identification and zebrafish toxicity experiments were conducted on mycotoxins and their degradation products,confirming a significant reduction in their toxicity.Compared with free laccase,the immobilized enzyme demonstrated superior efficiency,stability,and reusability for mycotoxin removal.Therefore,this approach exhibits promising potential for mycotoxin decontamination applications.
王梦瑶;库梦丹;贾航;孙淑敏;肖建波
河南工业大学粮油食品学院省部级科研平台,河南 郑州 450001河南工业大学粮油食品学院省部级科研平台,河南 郑州 450001河南工业大学粮油食品学院省部级科研平台,河南 郑州 450001国家粮食和物资储备局科学研究院,北京 100037西班牙维戈大学食品科学与技术学院,西班牙 维戈 36310
轻工纺织
固定化漆酶金属有机骨架材料花生油真菌毒素降解安全性
immobilized laccasemetal-organic frameworkspeanut oilmycotoxins degradationsafety
《食品科学》 2026 (4)
58-69,12
河南工业大学粮油食品学院省部级科研平台开放课题项目(GO202311)河南省重点研发专项(231111113300)国家自然科学基金青年科学基金项目(32001808)
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