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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2026.1776326</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Perspective</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>A pilot study of a novel portable mass spectrometer for rapid, simultaneous detection of multiple anesthetic drug concentrations</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Xiaoyu</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xiaoxiao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Wensheng</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="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1287309"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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<aff id="aff1"><label>1</label><institution>Department of Anesthesiology, West China Hospital, Sichuan University</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Centre of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Wensheng Zhang, <email xlink:href="mailto:zhang_ws@scu.edu.cn">zhang_ws@scu.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1776326</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Xie, Li and Zhang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Xie, Li and Zhang</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>In the perioperative management of emergency animals, anesthetic drug&#x2013;related toxicity and adverse effects pose substantial risks, and real-time quantification of anesthetic drug concentrations may provide an effective strategy for improving anesthetic safety. This study aimed to evaluate the feasibility and accuracy of a novel Cell portable mass spectrometer (MS) for the rapid detection of multiple anesthetic drug concentrations. Etomidate (ET, 1.5&#x202F;mg/kg), rocuronium bromide (ROC, 5&#x202F;mg/kg), and lidocaine (LID, 2&#x202F;mg/kg) were administered, and plasma samples from rats were analyzed using the Cell portable MS and compared with results obtained by high-performance liquid chromatography with mass spectrometry (HPLC&#x2013;MS). The Cell portable MS enabled simultaneous quantitative analysis of all three anesthetic drugs within 4.5&#x202F;min and demonstrated good linearity across detection ranges. The regression equations were y&#x202F;=&#x202F;0.01496x&#x202F;+&#x202F;0.3136 for ET (<italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.997), y&#x202F;=&#x202F;1,356.03x&#x202F;+&#x202F;12,785.42 for ROC (<italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.991), and y&#x202F;=&#x202F;0.01459x&#x202F;+&#x202F;0.0067 for LID (<italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.999). Pearson correlation analysis revealed strong correlations between Cell portable MS and HPLC&#x2013;MS measurements for all three drugs (ET: <italic>r</italic>&#x202F;=&#x202F;0.9666; ROC: <italic>r</italic>&#x202F;=&#x202F;0.9858; LID: <italic>r</italic>&#x202F;=&#x202F;0.9937; all <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). Bland&#x2013;Altman analysis showed small mean biases, with most data points falling within the 95% limits of agreement and no proportional bias observed. Overall, the Cell portable MS demonstrated good quantitative agreement with conventional HPLC&#x2013;MS for rapid, simultaneous measurement of multiple anesthetic drug concentrations, supporting its potential for real-time anesthetic drug toxicity monitoring and individualized dosing, particularly in emergency settings.</p>
</abstract>
<kwd-group>
<kwd>anesthetic drugs</kwd>
<kwd>etomidate</kwd>
<kwd>lidocaine</kwd>
<kwd>mass spectrometer</kwd>
<kwd>plasma concentration</kwd>
<kwd>rapid analysis</kwd>
<kwd>rocuronium bromide</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the China Postdoctoral Science Foundation (Grant No. 2025M772102) and by the Young Scientists Fund of the Natural Science Foundation of Sichuan Province (Grant No. 2025ZNSFSC1714).</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="6"/>
<word-count count="4724"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Anesthesiology and Animal Pain Management</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>In the perioperative management of emergency animals, anesthetic drug-related toxic and adverse reactions are one of the most challenging risks (<xref ref-type="bibr" rid="ref1">1</xref>). Emergency animals often suffer from severe trauma, underlying diseases, or unstable physiological conditions, which may substantially alter the pharmacokinetics and pharmacodynamics of anesthetic drugs (<xref ref-type="bibr" rid="ref2">2</xref>). This heightened susceptibility increases the likelihood of dose-dependent toxic reactions, such as delayed emergence, residual neuromuscular blockade, circulatory suppression, and even local anesthetic systemic toxicity (LAST) (<xref ref-type="bibr" rid="ref3">3</xref>). However, anesthetic drug administration is still primarily based on experience or human medicine guidelines, making it difficult to accurately reflect the individual&#x2019;s actual drug exposure level in real time (<xref ref-type="bibr" rid="ref4">4</xref>). This leads to a certain degree of &#x201C;blind&#x201D; anesthesia management, thereby increasing the risk of perioperative complications and mortality. Therefore, from the perspective of toxicity prevention and control, technologies that can rapidly and accurately quantify anesthetic drug concentrations in the body may become a key breakthrough in improving the safety of emergency anesthesia.</p>
<p>Rapid blood drug concentration monitoring offers a new approach to address the issues mentioned above (<xref ref-type="bibr" rid="ref5">5</xref>). By providing real-time information on the actual concentration of anesthetic drugs in the body, anesthesiologists can potentially identify abnormal exposure before toxic reactions occur, allowing for timely dose adjustments or interventions to prevent dangerous consequences caused by drug accumulation, delayed metabolism, or interactions (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). More importantly, this monitoring method can support individualized dosing strategies, enabling more precise control of sedation, analgesia, and muscle relaxation, which is expected to significantly reduce anesthesia risks in emergency settings (<xref ref-type="bibr" rid="ref8">8</xref>). Therefore, developing a rapid, accurate, and bedside-applicable method for detecting anesthetic drug concentrations holds important exploratory value for the prevention of toxicity and adverse effects (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>In recent years, portable and miniaturized mass spectrometers (MS) have emerged as a promising approach for rapid drug detection (<xref ref-type="bibr" rid="ref10">10</xref>). These platforms integrate ambient or <italic>in situ</italic> ionization techniques, enabling rapid analysis of target compounds in biological samples without complex sample preparation or chromatographic separation, thereby offering distinct advantages in point-of-care testing (POCT) scenarios (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Compared with conventional liquid chromatography&#x2013;mass spectrometry (LC&#x2013;MS), portable MS systems offer clear benefits in terms of analysis speed, operational simplicity, and lower dependence on laboratory infrastructure, making them particularly suitable for emergency care, bedside monitoring, and resource-limited settings (<xref ref-type="bibr" rid="ref13">13</xref>). However, despite these advantages, current portable MS technologies still face limitations related to quantitative accuracy, control of matrix effects, and the separation of complex multicomponent samples (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>The Cell portable MS is a novel analytical platform based on in-situ ionization and ion trap MS technologies. It is compact in size and capable of rapid identification of specific compounds within approximately 1&#x202F;minute, thereby supporting the possibility of real-time quantification of anesthetic drug concentrations (<xref ref-type="bibr" rid="ref15">15</xref>). Our research group has previously demonstrated the feasibility and effectiveness of this platform for detecting a single anesthetic agent and constructing individualized pharmacokinetic&#x2013;pharmacodynamic (PK&#x2013;PD) models, highlighting its potential application in anesthetic toxicity monitoring (<xref ref-type="bibr" rid="ref16">16</xref>). Given that clinical anesthesia commonly involves the combined use of multiple agents, and that metabolic and pharmacodynamic interactions among different drugs may further amplify toxicity and adverse risks (<xref ref-type="bibr" rid="ref17">17</xref>), the objective of this study was to evaluate the feasibility and analytical performance of the Cell portable MS for rapid, simultaneous quantification of etomidate (ET), rocuronium bromide (ROC), and lidocaine (LID). We hypothesized that the Cell portable MS would provide quantitative results highly correlated and in good agreement with those obtained using conventional HPLC&#x2013;MS, while offering a shorter analysis time suitable for precision anesthesia management in emergency settings (<xref ref-type="bibr" rid="ref18">18</xref>).</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Ethics approval</title>
<p>This study used adult male Sprague&#x2013;Dawley (SD) rats weighing 270&#x2013;300&#x202F;g, purchased from Dossy Technology Co., Ltd. (Chengdu, China). Animals were housed under standard laboratory conditions with controlled temperature (22 &#x00B0;C&#x2013;25 &#x00B0;C) and humidity (50%&#x2013;60%) under a 12&#x202F;h light/dark cycle, with free access to food and water. All animal experimental procedures were conducted in accordance with the guidelines for the care and use of laboratory animals and were approved by the Animal Ethics Committee of West China Hospital, Sichuan University (approval number: 20250910005), with all efforts made to minimize animal suffering and reduce the number of animals used.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Animals and experimental design</title>
<p>Anesthesia was induced by placing the rats in an induction chamber with 5% isoflurane delivered in oxygen at a fresh gas flow of 1.0&#x202F;L/min until loss of the righting reflex was achieved. After induction, anesthesia was maintained with 2% isoflurane via inhalation. Tracheal intubation was then performed, and the rats were connected to a small-animal mechanical ventilator (RWD, Shenzhen, China) for controlled ventilation. A 24-gauge intravenous catheter (Surflo Flash, Terumo, Japan) was inserted into the left femoral artery for serial blood sampling, while a separate 24-gauge catheter was placed in the tail vein for intravenous drug administration. Anesthetic doses were selected to approximate clinically relevant dosing, with ET (1.5&#x202F;mg/kg), ROC (5&#x202F;mg/kg), and LID (2&#x202F;mg/kg) administered sequentially. Blood samples were collected at predefined time points (1, 3, 5, 10, 20, and 30&#x202F;min) after drug administration for plasma concentration analysis. Given the rapid <italic>in vivo</italic> metabolism of ET, plasma concentration measurements for ET were performed only up to 20&#x202F;min post-administration.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Cell portable MS detection</title>
<p>The Cell portable MS (C3001-sci, Suzhou Purspec Technology, Suzhou, China) is a tandem mass spectrometry&#x2013;based analytical platform capable of selective precursor ion fragmentation and multistage mass spectrometric analysis of compounds, including isomers. The system consists of an ion source, ion transmission module, linear ion trap, ion detection unit, and integrated control system. The instrument measures 333&#x202F;&#x00D7;&#x202F;235&#x202F;&#x00D7;&#x202F;146&#x202F;mm, weighs less than 8.5&#x202F;kg, and supports a mass range of 50&#x2013;1,000&#x202F;m/z with switchable positive and negative ion modes. Detailed procedures for instrument calibration and quality control are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref> and the <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
<p>MS detection was performed in positive ion mode. Quantification of ET and LID was conducted using an internal standard (IS) method. For ET, the precursor ion was m/z 245 and the fragment ion was m/z 141, with ET impurity C used as the IS (precursor ion m/z 259, fragment ion m/z 155.1). For LID, the precursor ion was m/z 235.1 and the fragment ion was m/z 86.1, with LID-d10 used as the IS (precursor ion m/z 245.2, fragment ion m/z 96.2). For ROC, the precursor ion was m/z 529.4 and the fragment ion was m/z 487.3. Although verapamil was initially evaluated as an IS, it exhibited pronounced matrix effects in the Cell MS, which could compromise quantitative accuracy; therefore, ROC was quantified using an external standard method. For analysis, A 100&#x202F;&#x03BC;L of whole blood sample was collected without centrifugation and mixed with 400&#x202F;&#x03BC;L of acetonitrile. For ET and LID, whole blood samples were mixed with acetonitrile containing the IS. Subsequently, 100&#x202F;&#x03BC;L of the resulting mixture was transferred into the direct capillary spray reagent kit (Suzhou Purspec Technology, Suzhou, China). Each sample was analyzed using multiple consecutive scans in the Cell portable MS, with a total acquisition time of approximately 4.5&#x202F;min per sample.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>HPLC-MS detection</title>
<p>High-performance liquid chromatography with mass spectrometry (HPLC&#x2013;MS, Agilent 1,260, Japan) was used as the reference method for quantitative analysis. Chromatographic separation was achieved on an Ultimate XB-C4 column using gradient elution with 0.1% formic acid aqueous solution (A) and acetonitrile (B) at a flow rate of 0.3&#x202F;mL/min. Detection was performed on a triple quadrupole MS equipped with an electrospray ionization source operated in positive ion mode and multiple reaction monitoring (MRM). Plasma samples were processed by protein precipitation with acetonitrile containing the IS, followed by centrifugation and injection of the supernatant. Calibration curves covered ranges of 2&#x2013;1,000&#x202F;ng/mL for ET and LID and 10&#x2013;10,000 ng/mL for ROC. Detailed analytical conditions are provided in the <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>. Representative HPLC&#x2013;MS chromatograms demonstrating adequate chromatographic separation of ET, ROC, and LID are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>. Concentrations determined by HPLC&#x2013;MS were used as reference values for comparison with Cell portable MS measurements.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Analytical methodology validation</title>
<p>Analytical method validation was conducted in accordance with the principles of the International Council for Harmonization (ICH) guidelines, with a focus on key performance characteristics relevant to this preliminary proof-of-concept study. Method specificity, linearity, limit of detection (LOD), and limit of quantification (LOQ) were evaluated to assess the feasibility of the Cell portable MS for rapid quantification of multiple anesthetic drugs.</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Statistical analysis</title>
<p>This study was designed as a preliminary feasibility study; therefore, a small sample size (<italic>n</italic>&#x202F;=&#x202F;3 rats) was used. Statistical analysis was performed using GraphPad Prism software (Version 10.4, Boston, USA). Data were presented descriptively, with individual values shown for each animal. The standard curves were fitted by linear regression models. For ET and LID, the theoretical concentrations were used as the independent variable (x), and the IS&#x2013;corrected peak area ratios were used as the dependent variable (y). For ROC, the theoretical concentration was used as the independent variable (x), and the peak intensity was used as the dependent variable (y). Considering the greater variability in ROC responses at low concentration levels, a weighted least-squares regression with a 1/x weighting factor was applied to improve fitting stability, whereas ordinary least-squares linear regression was used for ET and LID. The goodness of fit was evaluated using the coefficient of determination (<italic>R</italic><sup>2</sup>), with <italic>R</italic><sup>2</sup>&#x202F;&#x2265;&#x202F;0.99 indicating good linearity.</p>
<p>Pearson correlation analysis was performed to assess the linear relationship between anesthetic drug concentrations measured by the Cell portable MS and HPLC&#x2013;MS, with the correlation coefficient (<italic>r</italic>) and its statistical significance were calculated. An <italic>r</italic> value &#x003E; 0.95 was considered to indicate an extremely strong correlation, reflecting high consistency in measurement trends between the two methods (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Agreement between the two platforms was further evaluated using Bland&#x2013;Altman analysis. The percentage difference (%Difference) between measurements obtained by the Cell portable MS and HPLC&#x2013;MS was plotted on the <italic>y</italic>-axis against the mean on the <italic>x</italic>-axis, and the 95% limits of agreement (LoA) were calculated. Agreement was considered acceptable when most data points fell within the 95% LoA and no proportional bias was observed across the concentration range (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<label>3</label>
<title>Results</title>
<sec id="sec10">
<label>3.1</label>
<title>Specificity</title>
<p>To evaluate the analytical specificity of the Cell portable MS for ET, ROC, and LID, MS analyses were performed using blank and standard blood samples, and the corresponding full-scan mass spectra are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>. For ET (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S3</xref>), no interfering signals were observed at m/z 228.0 in blank samples, whereas a distinct ET peak was detected at the same m/z in standard samples. Similarly, no background interference was detected at the characteristic ions of ROC (m/z 487.2; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S4</xref>) or LID (m/z 85.9; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S5</xref>) in blank samples, while clear and well-resolved signals were observed in standard samples. These results demonstrated that the Cell portable MS enabled reliable identification of ET, ROC, and LID based on their characteristic ions and exhibited good analytical specificity in complex blood matrices.</p>
</sec>
<sec id="sec11">
<label>3.2</label>
<title>Linear range</title>
<p>Standard curves were established using a series of standard samples across graded concentration levels. For ET (<xref ref-type="fig" rid="fig1">Figure 1A</xref>), calibration was performed over concentrations of 2, 4, 8, 20, 40, 80, 200, and 1,000&#x202F;ng/mL, yielding a regression equation of y&#x202F;=&#x202F;0.01496x&#x202F;+&#x202F;0.3136 with an <italic>R</italic><sup>2</sup> of 0.997. For ROC (<xref ref-type="fig" rid="fig1">Figure 1B</xref>), weighted linear regression (1/x) was applied across concentrations of 10, 20, 50, 100, 500, 1,000, 5,000, and 10,000 ng/mL, resulting in the equation y&#x202F;=&#x202F;1,356.03x&#x202F;+&#x202F;12,785.42 with an <italic>R</italic><sup>2</sup> value of 0.991. For LID (<xref ref-type="fig" rid="fig1">Figure 1C</xref>), calibration over concentrations of 2, 4, 10, 20, 50, 200, 500, and 1,000&#x202F;ng/mL produced a regression equation of y&#x202F;=&#x202F;0.01459x&#x202F;+&#x202F;0.0067 with an <italic>R</italic><sup>2</sup> of 0.999. Detailed regression parameters, including the standard deviation of the slope and intercept and the residual standard deviation, are provided in the <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>. Overall, all three anesthetic drugs demonstrated good linearity within their respective tested concentration ranges.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Comparison of multiple anesthetic drug concentrations (ET, ROC, and LID) measured by the Cell portable MS and HPLC&#x2013;MS. <bold>(A&#x2013;C)</bold> Linear range of ET, ROC, and LID measured by the Cell portable MS. Each data point represents a standard sample at a defined concentration level. <bold>(D&#x2013;F)</bold> Concentration-time profiles measured by the Cell portable MS and HPLC&#x2013;MS. Individual data points represent plasma concentrations from each animal, and solid lines show smoothed curves to illustrate overall concentration&#x2013;time trends. <bold>(G&#x2013;I)</bold> Correlation analysis for plasma concentrations of ET, ROC, and LID measured by the Cell portable MS and HPLC&#x2013;MS. Each data point represents an individual plasma sample collected from each rat at predefined time points. <bold>(J&#x2013;L)</bold> Bland&#x2013;Altman agreement plots of the three drugs. Data points represent plasma concentrations obtained from each rat at predefined time points. ET, etomidate; ROC, rocuronium bromide; LID, lidocaine.</p>
</caption>
<graphic xlink:href="fvets-13-1776326-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Twelve-panel scientific figure showing various plots comparing the performance of Cell portable MS and HPLC-MS analytical methods for measuring ET, ROC, and LID concentrations in biological samples. Panels A-C are calibration curves with strong linear correlations. Panels D-F present time-course concentration decay curves for each analyte, comparing both methods. Panels G-I are correlation plots with high Pearson&#x2019;s r values, showing strong agreement between the two methods. Panels J-L are Bland-Altman plots displaying the agreement for ET, ROC, and LID concentration measurements. Each panel is labeled from A to L for reference.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec12">
<label>3.3</label>
<title>LOD and LOQ</title>
<p>The LOD and LOQ for the three anesthetic drugs were determined using a signal-to-noise (S/N) approach. For ET, the LOD was 49.35&#x202F;ng/mL at an S/N ratio of 3, and the LOQ was 213.39&#x202F;ng/mL at an S/N ratio of 10. Similarly, the LOD and LOQ for ROC were 9.63&#x202F;ng/mL and 54.10&#x202F;ng/mL, respectively, while those for LID were 1.36&#x202F;ng/mL and 5.63&#x202F;ng/mL. Detailed calculation procedures are provided in the <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
</sec>
<sec id="sec13">
<label>3.4</label>
<title>Consistency comparison</title>
<p><xref ref-type="fig" rid="fig1">Figures 1D</xref>&#x2013;<xref ref-type="fig" rid="fig1">F</xref> show the concentration&#x2013;time curves for the three drugs measured by Cell portable MS and HPLC&#x2013;MS. The peak concentrations and overall concentration&#x2013;time trends of ET, ROC, and LID were consistent between the two platforms, in accordance with their expected <italic>in vivo</italic> pharmacokinetic behavior. Further Pearson correlation analysis (<xref ref-type="fig" rid="fig1">Figures 1G</xref>&#x2013;<xref ref-type="fig" rid="fig1">I</xref>) demonstrated strong correlations in the measured concentrations of all three anesthetic drugs between the two analytical platforms, with correlation coefficients close to 1.0 (ET: <italic>r</italic>&#x202F;=&#x202F;0.9666; ROC: <italic>r</italic>&#x202F;=&#x202F;0.9858; LID: <italic>r</italic>&#x202F;=&#x202F;0.9937) and all <italic>p</italic> values &#x003C; 0.0001. These results indicated a high degree of consistency in the measurement trends of drug concentration changes between the two instruments.</p>
<p>Bland&#x2013;Altman analysis was then conducted to evaluate the agreement between the two platforms (<xref ref-type="fig" rid="fig1">Figures 1J</xref>&#x2013;<xref ref-type="fig" rid="fig1">L</xref>). The mean biases for ET, ROC, and LID were &#x2212;9.38%, 6.77%, and &#x2212;3.44%, respectively, indicating relatively small overall bias. For all three drugs, most points fell within the 95% LoA, and no proportional bias was observed across the tested concentration ranges. These results indicated that the Cell portable MS exhibited good quantitative agreement in the measurement of plasma concentrations of ET, ROC, and LID, with results showing good comparability to those obtained using conventional HPLC&#x2013;MS.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<p>Rapid measurement of anesthetic drug plasma concentrations represents an important strategy for preventing drug-related toxicity. In this study, ET, ROC, and LID were selected as representative anesthetic agents to evaluate the application potential of a novel Cell portable MS for the simultaneous monitoring of multiple anesthetic drugs. The results demonstrate that this system enables quantitative analysis of these three drugs within minutes and effectively reflects overall trends in drug concentrations, providing a technical basis for dynamic assessment of <italic>in vivo</italic> anesthetic drug exposure.</p>
<p>Anesthetic management often requires the combined use of multiple agents, including sedatives, neuromuscular blocking agents, and analgesics, to achieve adequate anesthetic depth, muscle relaxation, and analgesia. However, the administration of multiple drugs also significantly increases the risk of drug-related toxicity. ET is a commonly used intravenous sedative; however, excessive or repeated administration may lead to adrenal suppression (<xref ref-type="bibr" rid="ref21">21</xref>). ROC may result in residual neuromuscular blockade or respiratory depression due to its substantial interindividual variability (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). LID can induce central nervous system and cardiac toxicity particularly at high doses or under impaired metabolism conditions (<xref ref-type="bibr" rid="ref24">24</xref>). These adverse effects are more likely to be amplified in emergency, trauma, or physiologically unstable patients, thereby increasing the risk of drug-related toxicity. Therefore, monitoring approaches capable of rapid, simultaneous detection of multiple anesthetic drugs and timely assessment of dynamic drug exposure are crucial for perioperative management, particularly in emergency anesthesia settings (<xref ref-type="bibr" rid="ref25">25</xref>).</p>
<p>The agreement analysis showed that the mean biases for all three drugs were relatively small, and most points fell within the 95% LoA, with no evident proportional bias observed. These findings suggested that the Cell portable MS exhibited stable quantitative performance across different concentration ranges. It is noteworthy that the width of the LoA varied among the three drugs, which may be attributable to differences in their physicochemical properties, matrix effects, and ionization efficiencies (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). Given that this study was designed as a small-sample, proof-of-concept investigation, with the primary objective of evaluating the feasibility of the Cell portable MS platform for rapid multi-drug detection rather than defining strict clinically acceptable error thresholds, the observed differences remain within a reasonable and interpretable range. In addition, as part of the methodological evaluation, preliminary assessments of precision and accuracy were performed and are presented in the <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, indicating that the Cell portable MS exhibits acceptable reproducibility and quantitative accuracy, supporting its potential for further translational development.</p>
<p>Beyond analytical performance, the Cell portable MS platform also demonstrates advantages from the perspective of Green Analytical Chemistry (GAC) (<xref ref-type="bibr" rid="ref28">28</xref>). Its compact and lightweight design eliminates the need for high-power vacuum systems and complex chromatographic separation modules, thereby reducing energy demands. In addition, the ability to perform rapid, multi-drug analysis significantly shortens analysis time, which may help lower overall energy consumption throughout the analytical process. By requiring minimal plasma volumes and avoiding complex pretreatment, the Cell portable MS reduces solvent and sample consumption and has the potential to decrease laboratory chemical waste over long-term application.</p>
<p>This study has several limitations. For ROC, external calibration was used because the tested IS exhibited pronounced matrix effects on the Cell portable MS platform. Although good linearity and agreement with HPLC&#x2013;MS were achieved, more systematic evaluation of ion suppression and matrix effects would further enhance quantitative robustness. In addition, this study assessed simultaneous quantification of only three commonly used anesthetic drugs, whereas clinical anesthesia often involves multiple agents; therefore, future work should extend this approach to a broader range of anesthetics. Finally, as a pilot study with a limited number of animals, the present findings primarily demonstrate feasibility and relative analytical performance and warrant validation in larger-scale studies.</p>
</sec>
<sec sec-type="conclusions" id="sec15">
<label>5</label>
<title>Conclusion</title>
<p>In summary, the Cell portable MS enables rapid measurement of anesthetic drug plasma concentrations, offering a practical approach for toxicity prevention and individualized dosing. By providing real-time concentration information, this platform has the potential to support more precise anesthetic management and reduce the risk of drug-related adverse effects. With further methodological optimization and validation in larger samples, the Cell portable MS may be extended to other anesthetics and perioperative drugs, contributing to improved anesthesia safety and rational drug use in emergency and resource-limited settings.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec16">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec17">
<title>Ethics statement</title>
<p>The animal study was approved by the Animal Ethics Committee of West China Hospital, Sichuan University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>XX: Formal analysis, Methodology, Validation, Writing &#x2013; original draft. XL: Conceptualization, Funding acquisition, Methodology, Writing &#x2013; review &#x0026; editing. WZ: Conceptualization, Resources, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec19">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="ai-statement" id="sec20">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec21">
<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>
<sec sec-type="supplementary-material" id="sec22">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fvets.2026.1776326/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fvets.2026.1776326/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementary_file_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/892497/overview">Angela Briganti</ext-link>, University of Pisa, Italy</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2013543/overview">Paschoalina Romano</ext-link>, HCFMUSP DLC LIM 3, Brazil</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2929969/overview">Samar Elagamy</ext-link>, Tanta University, Egypt</p></fn>
</fn-group>
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