4.7 Article

Trace detection of cadmium (II) ions based on an air-hole-assisted multicore microstructured optical fiber

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 365, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2022.131941

关键词

Cadmium (II) ion; Trace detection; Microstructured fiber sensor; High sensitivity

资金

  1. National Natural Science Foundation of China, China [61935007]
  2. Science and Technology Program of Guangzhou, China [2019050001]
  3. GDUPS, China

向作者/读者索取更多资源

A highly selective Cd2+ sensor based on an air-hole-assisted multicore microstructured optical fiber (AA-MCF) is proposed for rapid and sensitive determination of Cd2+ concentration in solution. The sensor exhibits high sensitivity and stability, making it suitable for biochemical sensing applications such as environmental monitoring and disease diagnosis.
Cadmium ion (Cd2+) is one of the most crucial industrial pollutants that cause serious harm to the human body. For rapidly and sensitively determining the concentration of Cd2+ in a solution in real time, a highly selective Cd2+ sensor with high sensitivity is proposed based on a multimode interference effect in an air-hole-assisted multicore microstructured optical fiber (AA-MCF). Seven large air holes in an AA-MCF isolate of six fiber cores; one of them is cut open to expose two adjacent cores and form a microfluidic channel. It can be used as the region where the analyte liquid interacts with light. When the refractive index in this region varies, the multi mode interference effect is influenced, so that the refractive index of the analyte can be quickly observed. Quantification is achieved by calculating the Cd2+ concentration through the refractive index. Theoretical and experimental results show that the sensitivity of this sensor made of an AA-MCF can reach 7.443 x 10(9) nm/(mol/L) and the experimental limit of detection is 6.0 x 10(-12) mol/L. The proposed sensor exhibits high stability, specificity, and a compact structure, offering promising potential for biochemical sensing applications, such as environmental monitoring and disease diagnosis.

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