Parallel Diffractive Multi‐Beam Pulsed‐Laser Ablation in Liquids Toward Cost‐Effective Gram Per Hour Nanoparticle Productivity

IF 3.7 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Advanced Photonics Research Pub Date : 2024-02-02 DOI:10.1002/adpr.202300290
Inna Y. Khairani, Maximilian Spellauge, Farbod Riahi, Heinz P. Huber, Bilal Gökce, C. Doñate‐Buendía
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Abstract

Nanoparticles (NPs) generated by pulsed‐laser ablation in liquids (PLAL) have benefited many key applications due to their versatility, enlarged surface area, and high purity. However, scaling up NPs production represents one of the main requisites to commercialize this technology. The established upscaling strategy demands high power and repetition rate laser source with fast scanning systems, which are not widely available and costly. Herein, a cost‐effective alternative is proposed, the addition of static diffractive optical elements to achieve parallel processing through the multi‐beam PLAL (MB‐PLAL). In MB‐PLAL, the optimum repetition rate is reduced to compensate laser energy splitting, hence achieving a higher interpulse distance, reducing pulse shielding, and increasing NPs productivity. MB‐PLAL with 11 beams reached a factor 4 productivity increase for iron–nickel alloy (Fe50Ni50) NPs compared to the single‐beam setup (0.4–1.6 g h−1), and a factor 3 increase for gold (Au) NPs (0.32–0.94 g h−1). The scalability of the proposed MB‐PLAL technique setup is confirmed by Au and Fe50Ni50 NPs productivity experiments using 1, 6, and 11 beams, showing a linear increase in productivity.
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在液体中进行平行衍射多束脉冲激光烧蚀,实现具有成本效益的每小时克级纳米粒子生产率
通过液体脉冲激光烧蚀技术(PLAL)生成的纳米粒子(NPs)具有多功能性、比表面积大、纯度高等特点,已在许多关键应用中受益。然而,扩大 NPs 生产规模是实现该技术商业化的主要必要条件之一。既有的升级策略需要高功率、高重复率的激光源和快速扫描系统,但这些设备并不普及,而且成本高昂。在此,我们提出了一种具有成本效益的替代方案,即增加静态衍射光学元件,通过多光束 PLAL(MB-PLAL)实现并行处理。在 MB-PLAL 中,降低了最佳重复率以补偿激光能量分裂,从而实现了更高的脉冲间距,减少了脉冲屏蔽,提高了 NPs 生产率。与单光束设置(0.4-1.6 克/小时-1)相比,使用 11 个光束的 MB-PLAL 使铁镍合金(Fe50Ni50)NPs 的生产率提高了 4 倍,使金(Au)NPs 的生产率提高了 3 倍(0.32-0.94 克/小时-1)。使用 1、6 和 11 个光束进行的金和 Fe50Ni50 NPs 生产率实验证实了所提议的 MB-PLAL 技术设置的可扩展性,表明生产率呈线性增长。
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