Iqbal Jibran, Du Yiping, Howari Fares, Bataineh Mahmoud, Muhammad Nawshad, Rahim Abdur
Zayed University, College of Natural and Health Sciences, Abu Dhabi, United Arab Emirates.
East China University of Science and Technology, Research Center of Analysis and Test, Shanghai Key Laboratory of Functional Materials Chemistry, Meilong Rd 130, Shanghai 200237, China.
J AOAC Int. 2017 Mar 1;100(2):560-565. doi: 10.5740/jaoacint.16-0224. Epub 2016 Nov 30.
Sensitive detection of heavy metal ions in water is of great importance considering the effects that heavy metals have on public health. A developed fluidized bed enrichment technique was used to concentrate and detect low concentrations of Cu2+, Co2+, and Ni2+ in water samples by near-IR diffuse reflectance (NIDR) spectroscopy (NIDRS) directly without using any chemicals or reagents. The NIDR spectra of adsorbent were measured on-line, and quantitative detection was achieved by applying a built partial least-squares chemometric model. Sensitivity and accuracy was improved significantly because large-volume mixture solutions were used in the enrichment process. Root mean square error of cross-validation values for Cu2+, Co2+, and Ni2+ were 0.29, 0.41, and 0.35 μg/mL, respectively, with mean relative error values in the acceptable range of 6.56-10.27%. This study confirms the potential application of fluidized bed enrichment combined with NIDRS and chemometrics for the simultaneous detection of trace heavy metal ions in water, with low relative error.
考虑到重金属对公众健康的影响，水中重金属离子的灵敏检测至关重要。一种已开发的流化床富集技术被用于通过近红外漫反射光谱法（NIDRS）直接浓缩和检测水样中低浓度的Cu2+、Co2+和Ni2+，无需使用任何化学物质或试剂。在线测量吸附剂的近红外漫反射光谱，并通过应用建立的偏最小二乘化学计量模型实现定量检测。由于在富集过程中使用了大量混合溶液，灵敏度和准确性得到显著提高。Cu2+、Co2+和Ni2+的交叉验证均方根误差值分别为０.29、0.41和0.35μg/mL，平均相对误差值在6.56 - 10.27%的可接受范围内。本研究证实了流化床富集结合NIDRS和化学计量学在同时检测水中痕量重金属离子方面的潜在应用，相对误差较低。
