Wei Ting-Yen, Yen Tzung-Hai, Cheng Chao-Min
Interdisciplinary Program of Life Science, National Tsing Hua University, Hsinchu 300, Taiwan.
Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital and Chang Gung University, Linkou 333, Taiwan.
Biomicrofluidics. 2018 Jan 19;12(1):011501. doi: 10.1063/1.5003848. eCollection 2018 Jan.
Acute pesticide intoxication is a common method of suicide globally. This article reviews current diagnostic methods and makes suggestions for future development. In the case of paraquat intoxication, it is characterized by multi-organ failure, causing substantial mortality and morbidity. Early diagnosis may save the life of a paraquat intoxication patient. Conventional paraquat intoxication diagnostic methods, such as symptom review and urine sodium dithionite assay, are time-consuming and impractical in resource-scarce areas where most intoxication cases occur. Several experimental and clinical studies have shown the potential of portable Surface Enhanced Raman Scattering (SERS), paper-based devices, and machine learning for paraquat intoxication diagnosis. Portable SERS and new SERS substrates maintain the sensitivity of SERS while being less costly and more convenient than conventional SERS. Paper-based devices provide the advantages of price and portability. Machine learning algorithms can be implemented as a mobile phone application and facilitate diagnosis in resource-limited areas. Although these methods have not yet met all features of an ideal diagnostic method, the combination and development of these methods offer much promise.
急性农药中毒是全球常见的自杀方式。本文回顾了当前的诊断方法,并对未来发展提出建议。在百草枯中毒的情况下,其特征是多器官功能衰竭,导致大量死亡和发病。早期诊断可能挽救百草枯中毒患者的生命。传统的百草枯中毒诊断方法,如症状回顾和尿连二亚硫酸钠检测,在大多数中毒病例发生的资源匮乏地区既耗时又不实用。多项实验和临床研究表明,便携式表面增强拉曼散射(SERS)、纸质设备和机器学习在百草枯中毒诊断方面具有潜力。便携式SERS和新型SERS底物在保持SERS灵敏度的同时,比传统SERS成本更低、更方便。纸质设备具有价格和便携性优势。机器学习算法可以作为手机应用程序实现,便于在资源有限的地区进行诊断。尽管这些方法尚未具备理想诊断方法的所有特征,但这些方法的结合与发展前景广阔。