School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China; Fujian Provincial Collaborative Innovation Center of High-End Equipment Manufacturing, Fuzhou, 350001, China.
School of Mechanical Engineering, Southeast University, Nanjing, 210096, China.
Anal Chim Acta. 2018 Dec 31;1044:110-118. doi: 10.1016/j.aca.2018.07.053. Epub 2018 Jul 28.
On-site spatial variation study of airborne trace metals has been known to be the key to providing a comprehensive evaluation of air pollution information at any targeted location. However, the existing portable approaches either do not allow sample analysis in the longitudinal direction or is not yet practically applicable due to due to the lack of a portable detection method. In this paper, by integrating paper based colorimetric detection via cellphone and unmanned aerial vehicle (UAV) in-air sampling, we present an approach for on-site multiaxial quantification of airborne trace metals in an arrayed format. Using a self-built sampler mounting on a UAV, our approach enables automatic, multiaxial air PM sampling. In addition, by relying only on a cellphone and a custom-made field reaction kit, samples collected in-air can be readily processed, detected in an arrayed format and interpreted on-site within 30 min. Finally, an ultrafast batch-to-batch paper microfluidic chip fabrication protocol enables 48 chips to be fabricated under 30 s at a cost of 1.92 $, making the approach well-suited for disposable on-site use. Our system was first calibrated for 6 metals commonly found in airborne PM (i.e. Co, Cu, Fe, Mn, Cr and Ni), and the corresponding metals detection limits were found to be 8.16, 45.84, 1.86 × 10, 10.08, 1.52 × 10 and 80.40 ng. The validity of our approach was then demonstrated by characterizing 6 metals commonly found in air PM using a certified ash sample, and the experimentally determined metal weight percentage showed a good agreement with the manufacture certified value. Finally, the approach was used for on-site airborne trace metals spatial variation study at 4 difference locations in Fuzhou City (China), thus demonstrating the significance of our approach in supplementing air pollution information gathering and progressing rapid, on-site air toxicity assessment research.
现场空气中痕量金属的空间变化研究一直是提供任何目标位置空气污染信息全面评估的关键。然而,现有的便携式方法要么不允许在纵向方向上进行样品分析,要么由于缺乏便携式检测方法,目前还无法实际应用。在本文中,我们通过集成基于纸张的比色检测和无人飞行器(UAV)在空气中采样,提出了一种在阵列格式中现场多轴向量化空气中痕量金属的方法。使用安装在 UAV 上的自构建采样器,我们的方法能够实现自动、多轴向的空气 PM 采样。此外,仅依靠手机和定制的现场反应试剂盒,就可以对空气中采集的样品进行快速处理、以阵列格式进行检测,并在 30 分钟内现场解释。最后,超快的批量到批量纸微流控芯片制造协议可在 30 秒内制造 48 个芯片,成本仅为 1.92 美元,非常适合一次性现场使用。我们的系统首先针对空气中常见的 6 种 PM 金属(即 Co、Cu、Fe、Mn、Cr 和 Ni)进行了校准,发现相应金属的检测限分别为 8.16、45.84、1.86×10、10.08、1.52×10 和 80.40ng。然后,我们使用经过认证的灰分样品对空气中常见的 6 种金属进行了特征分析,验证了我们方法的有效性,实验确定的金属重量百分比与制造认证值吻合良好。最后,我们在福州市的 4 个不同地点进行了现场空气中痕量金属空间变化研究,从而证明了我们的方法在补充空气污染信息收集和推进快速现场空气毒性评估研究方面的重要意义。