优化低温体等离子体,减少通过玉米的真菌和非洲毒素对人类的暴露
Hannah Mugure Kamano1, Michael Wandayi Okoth2, Wambui Kogi-Makau2
1Food Technology Research Centre, Kenya Industrial Research & Development Institute, P.O Box 30650, Nairobi, 00100, Kenya.
Scientific reports
|April 5, 2025
概括
低温气等离子体有效地减少了玉米中的偏毒素和真菌,提供了安全的食品供应. 优化的参数实现了显著的净化,超过了这一主要食品污染物的全球安全限制.
科学领域:
- 食品科学 食品科学 食品科学
- 血技术是一项技术.
- 菌类毒理学 菌类毒理学
背景情况:
- 玉米中阿弗拉托克辛污染对全球健康和经济构成重大挑战.
- 现有的净化方法往往在有效性或实用性方面存在局限性.
研究的目的:
- 为了优化低温体等离子体 (LTNP) 参数用于玉米除污染.
- 评估LTNP在减少真菌负荷和亚拉托克辛污染方面的有效性.
- 评估青素暴露风险和LTNP治疗的影响.
主要方法:
- 使用响应表面方法 (RSM) 与盒式设计 (BBD) 进行参数优化.
- 研究的独立变量:暴露时间,压力和电离密度.
- 采用蒙特卡洛模拟来进行量化暴露评估.
主要成果:
- 增加的暴露时间显著降低了真菌负载和亚拉托克辛含量.
- 经过LTNP治疗,阿弗拉托克辛水平降低到国际监管限制以下.
- 优化参数实现了82.6%的偏毒素减少和96.9%的真菌负载减少.
结论:
- LTNP是一种有前途的技术,用于除毒素和真菌感染的玉米.
- 优化的LTNP处理为提高食品安全和保质期提供了可行的解决方案.
- 建议进行进一步的升级研究,以评估对食品矩阵的更广泛影响.
相关概念视频
Microorganisms in Agriculture and Food industry
Microorganisms play a crucial role in agriculture and the food industry, contributing to soil fertility, crop protection, and food production. Their functions range from nitrogen fixation and biopesticide production to fermentation and food preservation, making them indispensable to sustainable farming and food safety.Role in AgricultureNitrogen-fixing bacteria, such as Rhizobium (symbiotic) and Azotobacter (free-living), convert atmospheric nitrogen into ammonia through biological nitrogen...
Physical Methods for Controlling Microbial Growth: Radiation and Filtration
Radiation and filtration are essential tools for microbial control, targeting microorganisms through distinct mechanisms. Radiation eliminates microbes by damaging their DNA, either killing them or inhibiting their growth. Based on wavelength, radiation is classified into two types: nonionizing and ionizing radiation.Non-ionizing radiation, such as UV radiation (200–400 nm), is absorbed by DNA, causing defects that effectively disinfect surfaces, air, and water, including safety cabinets.
Methods of Medium Optimization
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...


