Scholarlink

<p>Multi-pass cell (MPC) with long optical path length (OPL) and high ratio of optical path length to volume (RLV) can significantly enhance the detection performance of light-induced thermoelastic spectroscopy (LITES) sensor and facilitate system integration. In this paper, an ultra-highly sensitive LITES sensor based on a MPC with ultra-dense spot pattern designed by multi-objective algorithm of parallel nondominated sorting genetic algorithm II (PNSGA-II) was reported for the first time. Five MPCs featuring different dense spot patterns were generated using this PNSGA-II algorithm. The experimental measured OPLs with an excellent RLV of &gt; 20&#xa0;cm<sup>−2</sup> closely matched the theoretical results, validating the PNSGA-II algorithm and our MPC calculation model as reliable guidance for designing MPCs with superior performance. An acetylene (C<sub>2</sub>H<sub>2</sub>)-LITES sensor system was constructed using the designed MPC with an actual OPL of 80.14&#xa0;m. A self-designed round-head quartz tuning fork (QTF) with resonant frequency of 9.5&#xa0;kHz was used as the detector. The C<sub>2</sub>H<sub>2</sub>-LITES sensor demonstrated good linear response to C<sub>2</sub>H<sub>2</sub> concentration. The achieved minimum detection limit (MDL) for the C<sub>2</sub>H<sub>2</sub>-LITES sensor was 4.78&#xa0;ppb, which has a 3.45-fold enhancement when compared to the standard commercial QTF with resonant frequency of 32.768&#xa0;kHz. Furthermore, according to Allan deviation analysis, the MDL could improve to 891 ppt at an average time of 200&#xa0;s, demonstrating its ultra-highly sensitive detection performance.&#xa0;</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An ultra-highly sensitive LITES sensor based on multi-pass cell with ultra-dense spot pattern designed by multi-objective algorithm

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月28日

查看全文
  • Yufei Ma,
  • Xiaorong Sun,
  • Haiyue Sun,
  • Ying He,
  • Shunda Qiao

摘要

Multi-pass cell (MPC) with long optical path length (OPL) and high ratio of optical path length to volume (RLV) can significantly enhance the detection performance of light-induced thermoelastic spectroscopy (LITES) sensor and facilitate system integration. In this paper, an ultra-highly sensitive LITES sensor based on a MPC with ultra-dense spot pattern designed by multi-objective algorithm of parallel nondominated sorting genetic algorithm II (PNSGA-II) was reported for the first time. Five MPCs featuring different dense spot patterns were generated using this PNSGA-II algorithm. The experimental measured OPLs with an excellent RLV of > 20 cm−2 closely matched the theoretical results, validating the PNSGA-II algorithm and our MPC calculation model as reliable guidance for designing MPCs with superior performance. An acetylene (C2H2)-LITES sensor system was constructed using the designed MPC with an actual OPL of 80.14 m. A self-designed round-head quartz tuning fork (QTF) with resonant frequency of 9.5 kHz was used as the detector. The C2H2-LITES sensor demonstrated good linear response to C2H2 concentration. The achieved minimum detection limit (MDL) for the C2H2-LITES sensor was 4.78 ppb, which has a 3.45-fold enhancement when compared to the standard commercial QTF with resonant frequency of 32.768 kHz. Furthermore, according to Allan deviation analysis, the MDL could improve to 891 ppt at an average time of 200 s, demonstrating its ultra-highly sensitive detection performance.