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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Phys.</journal-id>
<journal-title>Frontiers in Physics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Phys.</abbrev-journal-title>
<issn pub-type="epub">2296-424X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1179574</article-id>
<article-id pub-id-type="doi">10.3389/fphy.2023.1179574</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Rapid automatic detection of water Ca, Mg elements using laser-induced breakdown spectroscopy</article-title>
<alt-title alt-title-type="left-running-head">Zhu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphy.2023.1179574">10.3389/fphy.2023.1179574</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Yijun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Shixiang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Guiyan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2223168/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tian</surname>
<given-names>Hongwu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2226825/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Daming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/563477/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Mechanical Engineering</institution>, <institution>Guangxi University</institution>, <addr-line>Nanning</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Research Center of Intelligent Equipment</institution>, <institution>Beijing Academy of Agriculture and Forestry Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Key Laboratory of Agricultural Sensors</institution>, <institution>Ministry of Agriculture and Rural Affairs</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1756969/overview">Jinchang Ren</ext-link>, Robert Gordon University, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1886030/overview">Guanghui Niu</ext-link>, ETH Z&#xfc;rich, Switzerland</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/833738/overview">Vincenzo Palleschi</ext-link>, National Research Council (CNR), Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Hongwu Tian, <email>tianhw@nercita.org.cn</email>, <email>miketian007@163.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1179574</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Zhu, Ma, Yang, Tian and Dong.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zhu, Ma, Yang, Tian and Dong</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Ca, Mg, as the main components in water, are not only essential nutrients for life but are also an important index of water hardness. Rapid detection of the element content is of great significance for water quality evaluation and nutrient balance in planting and breeding water. Traditional laboratory analysis methods are time consuming and involve complex procedures. Ion cross sensitivity and response drift also limit the application of online sensors. These disadvantages are not in line with the precise control and rapid response required for practical applications. Here, we propose a rapid automatic Ca, Mg ion concentration detection method using Laser-induced breakdown spectroscopy. Based on a cation exchange membrane, an automatic control system integrating water sampling, hybrid reacting, attachment drying and spectra measuring was constructed. The testing time for one sample could be compressed to 5&#xa0;min. Consequently, it met the requirements of accuracy and timeliness of water element regulation. The proposed system can provide new technical means for large-scale aquaculture, soilless cultivation of facilities and other scenarios aiming at accurate measurement and control of elements in water body.</p>
</abstract>
<kwd-group>
<kwd>laser-induced breakdown spectroscopy (LIBS)</kwd>
<kwd>automatic detecting system</kwd>
<kwd>water hardness</kwd>
<kwd>cation exchange membrane (CEM)</kwd>
<kwd>precise control</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Optics and Photonics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Water is the source of all living beings, Ca and Mg are important elements of the water body [<xref ref-type="bibr" rid="B1">1</xref>]. The concentration and proportion of these elements have different impacts on water quality, and these influences affect every aspect of human activity through environmental water circulation [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>]. For drinking water, the concentration of Ca and Mg ions is an important evaluation index for water hardness. They not only affect the water taste and aroma, but also the heavy metal toxicity in water. Moreover, subacute health effects such as cardiovascular disease (CVD) and muscle spasms have been proved to be associated with water hardness [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B4">4</xref>]. Particularly, in aquaculture, Ca and Mg are vital components of shrimp and crab bones, scales and carapaces, and the supplement of Ca and Mg during a critical period plays an important role for assurance of survival rate and yield [<xref ref-type="bibr" rid="B5">5</xref>]. As the single source of soilless culture, a slight change of nutrient solution element type and concentration has an obvious effect on crop growth, and crops will quickly show symptoms of deficiency and poisoning [<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>]. Therefore, in terms of both long-term and short-term effects, timely detection of Ca and Mg content in water bodies has important practical value for production and daily life.</p>
<p>Atomic Emission Spectroscopy [<xref ref-type="bibr" rid="B8">8</xref>] is regarded as an effective tool for trace metal detection in aqueous solutions. Laboratory analysis methods including Atomic Absorption Spectroscopy (AAS) [<xref ref-type="bibr" rid="B9">9</xref>], Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP-AES) [<xref ref-type="bibr" rid="B10">10</xref>], and Inductively Coupled Plasma-Mass Spectrum (ICP-MS) [<xref ref-type="bibr" rid="B11">11</xref>]have also been widely used. The methods above have the advantages of high detection accuracy and comprehensive indicators. However, requirements for professional operation and a complex process lead to time-consuming detection cycles which cannot satisfy the necessary fast response for practical applications. An electronical conductivity (EC) sensor combined with a pH sensor can be used for online detection of ions in aqueous solution [<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>]. However, EC values can only reflect the total ion concentration of soluble salt and cannot distinguish the type of ions. As a result, precise composition control cannot be achieved based on EC and pH alone [<xref ref-type="bibr" rid="B14">14</xref>]. As an alternative, an ion-selective electrode (ISE) has good selectivity, and it can be used for specific ion detection in solution. Due to the limitations of measurement principle and electrode material, cross-sensitivity and response drift constitute the major obstacle for Ion-selective electrode widely range application [<xref ref-type="bibr" rid="B15">15</xref>]. Therefore, a method that can realize the identification of multiple components and meet the requirements of rapid detection is of great importance for the development of water quality monitoring and regulation technology.</p>
<p>Laser-induced breakdown spectroscopy (LIBS) [<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>], as a spectral detection technology [<xref ref-type="bibr" rid="B18">18</xref>-<xref ref-type="bibr" rid="B21">21</xref>], uses a high energy laser to ablate the sample surface and the constituent elements are excited into a high-energy plasma. Element type and content are determined by measuring the emission line of the plasma deexcitation. LIBS has the advantage of non-sample pretreatment and multi-component <italic>in situ</italic> rapid detection [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>], and it has been widely used in geology [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>], industry [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>], food [<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>], biomedicine [<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>] and other fields, which provides the possibility for the realization of rapid detection of water elements [<xref ref-type="bibr" rid="B32">32</xref>]. To avoid water sputtering and absorption of laser energy, researchers made good progress toward overcoming these obstacles by converting water to a jet flow, droplet and spray [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>], but the measurement stability could not be guaranteed. Although liquid-solid conversion can significantly improve the stability of the measurements, electrospray deposition (ESD) [<xref ref-type="bibr" rid="B35">35</xref>], solid-phase extraction (SPE) [<xref ref-type="bibr" rid="B36">36</xref>], and solid-phase microextraction (SPME) [<xref ref-type="bibr" rid="B37">37</xref>] have also been demonstrated to improve the limit of detection (LOD), the experimental equipment is complicated and not suitable for practical applications. The combination of LIBS and advanced materials including nano-particles [<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>], graphene [<xref ref-type="bibr" rid="B37">37</xref>], and metal-organic frame (MOF) [<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>] have been demonstrated for the improvement of water trace element detection sensitivity. The selectivity of specific elements can be further realized by material surface modification. Although the above method can realize highly sensitive detection of water elements, it cannot realize online detection, so it cannot meet the application scenarios which are sensitive to changes of water element content (such as aquaculture, or soilless cultivation in facilities).</p>
<p>Herein, we propose a new water Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> online detection system using LIBS combined with cation exchange membranes (CEM). The integration and automatic control of sampling, reacting, attachment moving, drying, and spectrum measuring procedure was realized and the quantity calibration curves for these two elements were also established. The system can provide technical support for automatic and precise control of water quality in practical production.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Experimental samples</title>
<p>The sample solutions used in the experiment were CaCl<sub>2</sub> and MgCl<sub>2</sub> solutions, the concentration of Ca<sup>2&#x2b;</sup> was 160&#xa0;mg/L and Mg<sup>2&#x2b;</sup> was 48&#xa0;mg/L. CEM CMI-7000&#xa0;S (Membrane International Inc., American) was used as an adsorbent with a thickness of 0.42mm, its exchange group was SO<sub>3</sub>-Na, exchange capacity was 1.6 meq/g, and it was applicable in solution with pH 1&#x2013;14. Ion exchange is the process of substituting ions between an insoluble solid with exchangeable ions and ions of the same charge in a solution. In this way, CEM can extract other cations from the solution and convert the target ions from liquid to solid state. Therefore, CEM was used as both an adsorbent and spectral-detecting matrix. To ensure the effectiveness of the CEM, it was saturated in 1&#xa0;mol/L HCl for 24&#xa0;h and rinsed with deionized water until pH &#x3d; 7 before it was used. Considering the upper limit of the exchange capacity of CEM, we used 3&#xa0;cm<sup>2</sup> CEM each time to prevent it from reaching the limit during the exchange of Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup>.</p>
</sec>
<sec id="s2-2">
<title>2.2 Design of automatic measuring system</title>
<p>An automatic device was designed for sample handling and detecting. As shown in <xref ref-type="fig" rid="F1">Figure 1</xref>, the device consisted of an automatic sampling component, an element ion extraction component, a sample cleaning and drying component, and a LIBS spectroscopy measuring system. The workflow of the device is shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. First, the automatic sampling module injected the sample solution directly into the container after the CEM was installed with fixture and started the device. A magnetic stirring device at the bottom of the container ensured that Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> were uniformly and fully exchanged on the surface of the CEM. Next, the two-dimensional mobile component held the CEM with a fixture in the sample container. After stirring the sample solution for the set time of the program, the two-dimensional mobile component automatically moved the CEM to the cleaning and drying component successively so that the residuals on the CEM surface can be removed and the moisture interference can be minimized. Deionized water was used for CEM cleaning. The target object Ca<sup>2&#x2b;</sup>, Mg<sup>2&#x2b;</sup> were absorbed on the CEM surface through covalent bonding which was strong enough that it could not be broken under the water cleaning condition. Therefore, there was no analyte loss during the water cleaning process. At last, the CEM was taken to the detecting position which was precisely the focal plane of the laser. At this point, the LIBS system measured the Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> on the CEM and the results were displayed on the screen of the control module. The CEM exposed area is round, and the position of the CEM surface coincides precisely with the laser focal plane. The spectral intensity of each sample was obtained by averaging five spectra collected at different positions on the CEM surface. The position switching was realized by the stepper motor to control the vertical movement of CEM in the laser focal plane position.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>General structure of the automatic measuring system.</p>
</caption>
<graphic xlink:href="fphy-11-1179574-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Workflow of the system.</p>
</caption>
<graphic xlink:href="fphy-11-1179574-g002.tif"/>
</fig>
<p>The LIBS measuring system, as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>, mainly included a laser, spectrometer and control board. The laser source was a diode pumped solid state laser (LD201B, Lemeng Company, China) with wavelength 1,064&#xa0;nm, maximum output energy 50&#xa0;mJ, pulse width 8&#xa0;ns, and repetition rate 1&#xa0;Hz. The spectrometer was a USB2000 &#x2b; fiber optic spectrometer (Ocean Optics, America), which had a spectral response range of 200&#x2013;1,100&#xa0;nm, spectral resolution of 0.2&#xa0;nm, and signal to noise ratio 250:1. In order to obtain the best spectral, the laser energy was set to 50&#xa0;mJ, the spectrometer CCD integration gate width was set to 1&#xa0;ms and the detector sampling delay was set to 1 us. The LIBS system worked in paraxial mode, the laser focused on the CEM surface through a focusing lens, and the optic lens collected laser plasma emission spectra from the 45 &#xb0;direction. The focal length of the laser focusing lens is 30&#xa0;mm. For the collection of laser plasma, we installed an optical collimator at one end of the optical fiber, and the other end of the optical fiber was connected to the spectrometer. The spectral intensity of each sample was obtained by averaging five spectra collected at different positions on the CEM surface. The position switching was realized by a stepper motor to control the CEM vertical movement in the laser focal plane position.</p>
</sec>
</sec>
<sec sec-type="results|discussion" id="s3">
<title>3 Results and discussion</title>
<sec id="s3-1">
<title>3.1 LIBS characteristic spectra for Ca and Mg</title>
<p>First, we used the device to detect Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> in solution and the spectrums are shown in <xref ref-type="fig" rid="F3">Figure 3</xref>. According to the NIST spectrum library, Ca II 393.3&#xa0;nm and Mg II 279.5&#xa0;nm were selected for the characteristic peak of Ca and Mg for further analysis. <xref ref-type="fig" rid="F3">Figure 3</xref> showed that no spectral signal of Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> elements could be observed on blank CEM. However, when CEM was used for Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> elements detection, there was no spectral interference near the characteristic peak of Ca and Mg elements. Consequently, it was feasible to use CEM combined with LIBS for Ca and Mg ions determination in solution.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Characteristic spectral lines for element <bold>(A)</bold> Mg. <bold>(B)</bold> Ca.</p>
</caption>
<graphic xlink:href="fphy-11-1179574-g003.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Experimental parameter optimization</title>
<p>The ion extraction of CEM in solution was affected by many factors, including the CEM dosage (size), solution volume, ion concentration, stirring speed and time. In this study, the sample volume was set to 20&#xa0;mL and CEM size was 3&#xa0;cm<sup>2</sup>. In order to achieve optimal working condition, we mainly investigated the effects of magnetic stirring speed and adsorption time on spectral signals. As shown in <xref ref-type="fig" rid="F4">Figure 4</xref>, the spectral intensity of Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> increased first and then slowly decreased with the stirring speed increased. It indicated that within a certain range of magnetic stirring speed, high speed led to high exchange efficiency between ions on CEM surface and in solution. However, when the magnetic stirring speed exceeded the range, the exchange efficiency reduced. The reason was that excessive speed led to unstable ion exchange reaction and there was not enough time for Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> formatting stable chemical bonding with CEM matrix. The inadequate reaction also led to weak spectral intensity. Based on above, we chose the magnetic stirring speed of 600&#xa0;rpm to get good spectrum.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Effect of magnetic stirring speed on LIBS spectral intensity of Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> (CEM exchange at 3&#xa0;min) <bold>(A)</bold>. Mg<sup>2&#x2b;</sup> on spectral intensity of Mg II 279.5&#xa0;nm. <bold>(B)</bold>. Ca<sup>2&#x2b;</sup> on spectral intensity of Ca II 393.3&#xa0;nm.</p>
</caption>
<graphic xlink:href="fphy-11-1179574-g004.tif"/>
</fig>
<p>We further investigated the effect of time on spectral intensity. <xref ref-type="fig" rid="F5">Figure 5</xref> shows that the spectral intensity of Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> increased at first and then stabilized gradually with time. It illustrates that the reaction between the exchange group of CEM and the Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> in the solution progressed gradually from a rapid reaction to a dynamic equilibrium state. Moreover, the exchange efficiency of Mg<sup>2&#x2b;</sup> in different concentrations kept stable from 1&#x2013;3&#xa0;min and 3&#x2013;6&#xa0;min. In contrast, the CEM exchange efficiency of Ca<sup>2&#x2b;</sup> with different concentrations was high from 1 to 3&#xa0;min and gradually decreased after 3&#xa0;min. Within 3&#x2013;6&#xa0;min, the Ca<sup>2&#x2b;</sup> exchange reaction rate decreased and was in the transition stage from rapid exchange to exchange equilibrium. After 6&#xa0;min, the ion exchange reaction reached equilibrium and the spectral intensity kept in a certain range. To achieve quantitative analysis, 3&#xa0;min was selected as the adsorption time for rapid determination. This time point was in the linear range of ion exchange reaction and the CEM could be prevented from reaching adsorption saturation state at the same time.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Effect of different exchange time on LIBS spectral intensity of Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> (magnetic stirring speed of 600rpm) <bold>(A)</bold>. Mg<sup>2&#x2b;</sup> on spectral intensity of Mg II 279.5&#xa0;nm. <bold>(B)</bold>. Ca<sup>2&#x2b;</sup> on spectral intensity of Ca II 393.3&#xa0;nm.</p>
</caption>
<graphic xlink:href="fphy-11-1179574-g005.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Calibration curve construction for element Mg and Ca</title>
<p>Aiming to verify the detection ability of the automatic device for Ca and Mg in solution, the quantification model was established using characteristic spectral lines of Mg II at 279.5&#xa0;nm and Ca II at 393.6&#xa0;nm with C I 247.8&#xa0;nm as the internal standard. The spectrums and calibration curves are shown in <xref ref-type="fig" rid="F6">Figure 6</xref>. The spectral intensity increased with the increase of the Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> concentrations, but the trend is nonlinear. Inflection points turn out at Mg 5&#xa0;mg/L and Ca 20&#xa0;mg/L, and the whole range can be divided into two parts, in which the signal intensity shows linear variety with the concentration gradient change separately. Moreover, the slope in the low concentration part (Mg<sup>2&#x2b;</sup> 0&#x2013;5&#xa0;mg/L and Ca<sup>2&#x2b;</sup> 0&#x2013;20&#xa0;mg/L) is obviously high than that in high concentration. The reason might be that the ion exchange speed was high in high concentration difference between target ions and exchange groups in the CEM matrix under certain setup parameters including stirring speed and time. Meanwhile, the other part of the curve also shows linear after the inflection point and does not appear nonlinear caused by the self-adsorption effect.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Quantification of the system for Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> detection. <bold>(A)</bold> and <bold>(B)</bold> Averaged LIBS spectra for different concentration of Mg<sup>2&#x2b;</sup> and the corresponding calibration curve (0&#x2013;48&#xa0;mg/L). <bold>(C)</bold> and <bold>(D)</bold> Averaged LIBS spectra for different concentration of Ca<sup>2&#x2b;</sup> and the corresponding calibration curve (0&#x2013;160&#xa0;mg/L).</p>
</caption>
<graphic xlink:href="fphy-11-1179574-g006.tif"/>
</fig>
<p>In the calibration curve, the signal intensity is not zero when the Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> analyte concentrations are zero, which is probably due to the interference of other element lines emitted close to the wavelength. Meanwhile, in the real water sample, the emitted lines intensity of Ca and Mg are much higher than that of interferential element on the CEM matrix, so it does not represent to be a problem for real sample quantitative analysis. Moreover, the purpose of the device and method is to meet the detection needs of Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> concentrations in the real water sample, and their concentrations are mainly in the linear range of the second part of the calibration curve. Therefore, we choose the second part of the calibration curve for quantitative analysis, and the correlation coefficient <italic>R</italic>
<sup>2</sup> for Mg is 0.99 and Ca is 0.98.</p>
<p>We also investigated a new definition for the LOD of a given element in a univariate calibration. We used the linear part of the calibration curve at low concentrations to calculate the LOD by Eqs <xref ref-type="disp-formula" rid="e1">1</xref>, <xref ref-type="disp-formula" rid="e2">2</xref>, [<xref ref-type="bibr" rid="B42">42</xref>]. The LOD of Mg is 1.63&#xa0;mg/L and that of Ca is 3.62&#xa0;mg/L. Then, in the second part of the calibration curve, root-mean-square error (RMSE) was calculated using Eq. <xref ref-type="disp-formula" rid="e3">3</xref>, and more detailed parameters of the quantitative model are shown in <xref ref-type="table" rid="T1">Table.1</xref>. Furthermore, we verified the prediction ability of the established mode by calculating the standard recovery rate of samples with and without interfering cations. The results are shown in <xref ref-type="table" rid="T2">Table 2</xref>. The results demonstrate that the device is applicable for the automatic rapid detection of Mg<sup>2&#x2b;</sup> and Ca<sup>2&#x2b;</sup> in solution.<disp-formula id="e1">
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<mml:msup>
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<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
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</mml:mrow>
<mml:mi>b</mml:mi>
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<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>/</mml:mo>
<mml:mi>x</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msqrt>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>I</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mover accent="true">
<mml:mi>I</mml:mi>
<mml:mo>&#x5e;</mml:mo>
</mml:mover>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:msqrt>
</mml:mrow>
<mml:mrow>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Parameters of the quantitative model.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Element</th>
<th align="center">Detection range (mg/L)</th>
<th align="center">
<italic>R</italic>
<sup>
<italic>2</italic>
</sup>
</th>
<th align="center">RMSEC</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Mg</td>
<td align="center">6&#x2013;48</td>
<td align="center">0.99</td>
<td align="center">1.84</td>
</tr>
<tr>
<td align="center">Ca</td>
<td align="center">20&#x2013;160</td>
<td align="center">0.98</td>
<td align="center">7.61</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Determination of Ca<sup>2&#x2b;</sup> and Mg<sup>2&#x2b;</sup> in spiked samples with and without interfering ions.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Sample number</th>
<th align="center">Ion type and concentration (mg/L)</th>
<th align="center">Mg<sup>2&#x2b;</sup> predictive value (mg/L)</th>
<th align="center">Mg<sup>2&#x2b;</sup> recovery (%)</th>
<th align="center">Ca<sup>2&#x2b;</sup> predictive value (mg/L)</th>
<th align="center">Ca<sup>2&#x2b;</sup> recovery (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">&#x23;1</td>
<td align="center">Mg<sup>2&#x2b;</sup> 16 Ca<sup>2&#x2b;</sup> 70 (Mn<sup>2&#x2b;</sup> 60 Cu<sup>2&#x2b;</sup> 60)</td>
<td align="center">17.5 &#xb1; 0.8</td>
<td align="center">109.38</td>
<td align="center">64.5 &#xb1; 5.7</td>
<td align="center">92.17</td>
</tr>
<tr>
<td align="center">&#x23;2</td>
<td align="center">Mg<sup>2&#x2b;</sup> 16 Ca<sup>2&#x2b;</sup> 70</td>
<td align="center">15.4 &#xb1; 0.7</td>
<td align="center">96.25</td>
<td align="center">63.4 &#xb1; 6.1</td>
<td align="center">90.57</td>
</tr>
<tr>
<td align="center">&#x23;3</td>
<td align="center">Mg<sup>2&#x2b;</sup> 21 Ca<sup>2&#x2b;</sup> 90 (K<sup>&#x2b;</sup> 180 Fe<sup>3 &#x2b;</sup> 60 Cu<sup>2&#x2b;</sup> 60)</td>
<td align="center">22.6 &#xb1; 1.1</td>
<td align="center">107.62</td>
<td align="center">88.6 &#xb1; 9.1</td>
<td align="center">98.44</td>
</tr>
<tr>
<td align="center">&#x23;4</td>
<td align="center">Mg<sup>2&#x2b;</sup> 21 Ca<sup>2&#x2b;</sup> 90</td>
<td align="center">20.3 &#xb1; 0.9</td>
<td align="center">96.67</td>
<td align="center">88.9 &#xb1; 8.6</td>
<td align="center">98.77</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In Eqs <xref ref-type="disp-formula" rid="e1">1</xref>, <xref ref-type="disp-formula" rid="e2">2</xref>, <italic>N</italic> represents the number of points in the calibration curve, <italic>b</italic> is the slope of calibration curve. <inline-formula id="inf1">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>I</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are spectral signal, <inline-formula id="inf2">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>I</mml:mi>
<mml:mo>&#x2322;</mml:mo>
</mml:mover>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the value predicted by the calibration curve. <inline-formula id="inf3">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the concentrations of the standards, <inline-formula id="inf13">
<mml:math id="m15">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>C</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> is the average of these concentrations.<disp-formula id="e3">
<mml:math id="m6">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mi>M</mml:mi>
<mml:mi>S</mml:mi>
<mml:mi>E</mml:mi>
<mml:mi>C</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msqrt>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msubsup>
<mml:mi>Y</mml:mi>
<mml:mi>i</mml:mi>
<mml:mrow>
<mml:mi>p</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:mfrac>
</mml:msqrt>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<p>In Equation <xref ref-type="disp-formula" rid="e3">3</xref>, <italic>n</italic> is the number of points in the calibration curve. <inline-formula id="inf4">
<mml:math id="m7">
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the concentrations of the standards, <inline-formula id="inf5">
<mml:math id="m8">
<mml:mrow>
<mml:msubsup>
<mml:mi>Y</mml:mi>
<mml:mi>i</mml:mi>
<mml:mrow>
<mml:mi>p</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> are the predicted value of the concentrations.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>4 Conclusion</title>
<p>In this study, an automatic and rapid system for measuring calcium and magnesium in water was developed based on LIBS. The system realized the automation of the detection process through integration of sampling, elements adsorption, attachment moving, and spectrum detection. The system also achieved automatic enrichment and spectral measurement of calcium and magnesium in water within 5&#xa0;min. Moreover, we analyzed the quantitative ability of this system for Ca and Mg elements. The results showed that there was a good linear relationship between spectrum intensity and concentration of the two elements. In general, a rapid measuring system for calcium and magnesium in water based on LIBS technology is proposed. Errors introduced by manual operation were significantly reduced through establishing standard sample operating process. Furthermore, the combination of LIBS rapid detecting technique and an automatic control system is expected to provide equipment and technology support for Ca and Mg detection in water bodies under large-scale production modes, such as aquaculture and factory farming.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>YZ was responsible for the design of the device, the implementation of the experiment, and the visualization of the experimental data. SM wrote the draft and analyzes the experimental data. GY contributed to the analysis of experimental data, experimental implementation and supervision. HT conceived the experimental ideas, proposed the experimental methods, wrote the draft, and modified the final manuscript. DD provided financial support and process supervision. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This research was financially supported by National Natural Science Foundation of China (32171627), Distinguished Scientist Development Program of Beijing Academy of Agriculture and Forestry Sciences (JKZX202209) and National Agricultural Major Science and Technology Project of China (NK2022180102).</p>
</sec>
<ack>
<p>We thank Alison McGonagle, from Liwen Bianji (Edanz) (<ext-link ext-link-type="uri" xlink:href="http://www.liwenbianji.cn">www.liwenbianji.cn</ext-link>), for editing the English text of a draft of this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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