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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nanotechnol.</journal-id>
<journal-title>Frontiers in Nanotechnology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nanotechnol.</abbrev-journal-title>
<issn pub-type="epub">2673-3013</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1600426</article-id>
<article-id pub-id-type="doi">10.3389/fnano.2025.1600426</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nanotechnology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Advancing calibration techniques for accurate micro and nanoflow measurements</article-title>
<alt-title alt-title-type="left-running-head">Batista 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/fnano.2025.1600426">10.3389/fnano.2025.1600426</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Batista</surname>
<given-names>E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2337749/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Martins</surname>
<given-names>Rui F.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1581859/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Silverio</surname>
<given-names>Vania</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1844251/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Godinho</surname>
<given-names>Isabel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Metrology Department, Instituto Portugu&#xea;s da Qualidade</institution>, <addr-line>Caparica</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>NOVA School of Science and Technology</institution>, <addr-line>Caparica</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>INESC MN Microsistemas e Nanotecnologias</institution>, <addr-line>Lisboa</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Physics</institution>, <institution>Instituto Superior Tecnico</institution>, <institution>Universidade de Lisboa</institution>, <addr-line>Lisboa</addr-line>, <country>Portugal</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/655100/overview">Eliana B. Souto</ext-link>, University College Dublin, Ireland</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/2872175/overview">Zimu Zhou</ext-link>, Western Digital, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2584094/overview">Mohsen Mahmoudysepehr</ext-link>, University of Waterloo, Canada</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: E. Batista, <email>ebatista@ipq.pt</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>7</volume>
<elocation-id>1600426</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Batista, Martins, Silverio and Godinho.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Batista, Martins, Silverio and Godinho</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>The lack of established protocols and standards for calibrating flow measuring instruments operating in the microflow range raises concerns about the reliability and precision of such measurements results. This work focuses on developing and improving innovative calibration methodologies to enhance the accuracy of microflow and nanoflow measurements. The gravimetric method already implemented at IPQ from 120&#xa0;&#x3bc;L/h to 2000&#xa0;mL/h was used and improved for low flow rates down to 10&#xa0;&#x3bc;L/h. Additionally, three other optical methods were developed to calibrate micro/nano flows in a non-intrusive way: the interferometric, pending drop and front track. The methodology best suited for each specific flow instrument (e.g., syringe pumps and flow meters) and each for measurement range, with the lowest uncertainty, was successfully identified during this work. Also, it was possible to increase the measuring range of the Portuguese Institute for Quality&#x2013;Volume and Flow Laboratory (IPQ-LVC) down to 5&#xa0;nL/min (0.3&#xa0;&#x3bc;L/h) with a 3% target uncertainty (<italic>k</italic> &#x3d; 2). This was not only achieved but improved further with the interferometric method, where measurements were performed down to 1.6&#xa0;nL/min (0.1&#xa0;&#x3bc;L/h) with 2% uncertainty (<italic>k</italic> &#x3d; 2). Furthermore, this method was external validated by a comparison performed under the EURAMET project 1508. The methodologies here described were the basis of the development of EURAMET guide cg 27 - Guidelines for the Calibration of Drug Delivery Devices and Infusion Device Analysers. This document provides standardized procedures for testing microflow and nanoflow instruments aiming to improve the accuracy and comparability of measurement results.</p>
</abstract>
<kwd-group>
<kwd>calibration</kwd>
<kwd>uncertainty</kwd>
<kwd>flow</kwd>
<kwd>validation</kwd>
<kwd>methods</kwd>
</kwd-group>
<contract-sponsor id="cn001">European Association of National Metrology Institutes<named-content content-type="fundref-id">10.13039/100012329</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nanometrology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Metrology, the science of measurement, plays a crucial role in ensuring the accuracy and reliability of flow measurements across various applications. Flow measurements are essential in numerous fields, including healthcare, pharmaceuticals, environmental monitoring, microfluidic technology and industrial processes. Accurate flow measurement is vital for maintaining product quality, ensuring safety, and optimizing performance but most of the instruments used to measure flow rate, especially in health applications and particularly those operating at the micro and nanoscale, have not been sufficiently studied regarding their flow accuracy and traceability. This lack of comprehensive research and validation raises concerns about the reliability and precision of these measurements, which are critical for ensuring patient safety and effective treatment outcomes. Furthermore, the absence of established protocols and standards for calibrating these instruments at such low flow ranges exacerbates the issue. Without standardized calibration procedures, it is challenging to verify the accuracy of flow measurements, leading to potential discrepancies and inconsistencies in the results. Addressing these gaps through rigorous studies and the development of robust calibration methods is essential for advancing the reliability and efficacy of flow rate measurements. In this work, new methodologies for calibration of syringe pumps, flow meters and microfluidic chips were developed and validated. The primary objective of this work is to enhance the gravimetric procedure described by Bissig et al. (<xref ref-type="bibr" rid="B6">Batista et al., 2020a</xref>) and to develop three innovative methods to ensure the traceability of micro and nanoflow measuring instruments. These instruments are increasingly being introduced to the market and are used in various applications, such as healthcare. In this work, various calibration methods were employed to measure flow, including gravimetry and newly developed techniques such as interferometry, pending drop, and the front track method. The front track method, in particular, was also described by Ogheard et al. (<xref ref-type="bibr" rid="B12">Bissig et al., 2015</xref>).</p>
<p>The gravimetric method, currently used at the IPQ-LVC laboratory, was improved and the lower limit 120&#xa0;&#x3bc;L/h was extended to 10&#xa0;&#x3bc;L/h. In the interferometry technique, an interferometer is used to measure the distance travelled by a pusher block of a syringe pump, over time, to determine the flow rate. The pending drop method uses high-resolution cameras to determine the growth of a drop over time. In the front track method, the cameras follow the meniscus of the liquid displacement in a close tube over time.</p>
<p>The methods developed in this work were validated internally or externally by the participation of IPQ-LVC in the EURAMET pilot project 1508 (<xref ref-type="bibr" rid="B4">Batista et al., 2020b</xref>).</p>
<p>The information described in this paper was the basis for the development of EURAMET guide cg 27 - Guidelines for the Calibration of Drug Delivery Devices and Infusion Device Analysers (<xref ref-type="bibr" rid="B14">EURAMET guide cg 27, 2024</xref>).</p>
<p>The development of the new methods has also allowed flow measurements (<xref ref-type="bibr" rid="B8">Batista et al., 2024</xref>) to be extended to another field&#x2013;microfluidics and led to the publication of a new EURAMET Technical Guide 4 - Evaluation of flow related quantities in microfluidic devices (<xref ref-type="bibr" rid="B13">EURAMET, 2024</xref>).</p>
</sec>
<sec sec-type="methods" id="s2">
<title>2 Methods</title>
<p>The gravimetric method, interferometric method, front track and pending drop method were used to calibrate various microflow measuring instruments, namely, syringes pumps, flow meters and microfluidic chips in different flow ranges. The results were compared in terms of % of error and uncertainty mainly due to manufactures specification information. In general, 20 to 30 points were collected in each performed test.</p>
<sec id="s2-1">
<title>2.1 Gravimetric method</title>
<p>The primary method used for flow determination is the gravimetric method (<xref ref-type="bibr" rid="B15">EURAMET, 2022</xref>), which involves weighing the mass of water delivered over a fixed period (<xref ref-type="fig" rid="F1">Figure 1</xref>). The flow rate is calculated as the quotient of the mass of the reference liquid, typically water with specific characteristics, and the time interval, with corrections for buoyancy, evaporation, and fluid properties. This method is widely adopted by several National Metrology Institutes globally and is applied across a broad range of applications.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Gravimetric schematic of the flow circuit. The fluid goes from a glass syringe <bold>(B)</bold> of a flow generator <bold>(A)</bold> to the balance <bold>(E)</bold> through tubing <bold>(C)</bold> that is immersed in the weighing vessel <bold>(F)</bold> that is inside an evaporation trap <bold>(D)</bold>.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g001.tif">
<alt-text content-type="machine-generated">Diagram of a mechanical setup with labels: A is a base platform, B is a horizontally mounted cylinder, C is a connecting cable running vertically, D is an arrow indicating direction, E is a vertical enclosure, and F is a component inside E.</alt-text>
</graphic>
</fig>
<p>At IPQ, a microflow setup was developed, consisting of two different assemblies using METTLER balances: an AX 26 with a resolution of 0.001&#xa0;mg and a maximum capacity of 20&#xa0;g, and an XP 2015 with a resolution of 0.01&#xa0;mg and a maximum capacity of 220&#xa0;g. In both assemblies, mass and time data are acquired and statistically processed using an application developed in LABVIEW software. Several tube diameters from 0.09&#xa0;cm to 0.32&#xa0;cm and different types and sized of plastic and glass syringes were used in the setup.</p>
<p>The setup was applied to calibrate syringe pumps, flow meters and microflow chips. The uncertainty components of this method are described in <xref ref-type="table" rid="T1">Table 1</xref>. The uncertainty calculation was determined based on the Guide to the expression of uncertainty in measurement, GUM (<xref ref-type="bibr" rid="B10">BIPM et al., 2008</xref>) and can be found in detail in (<xref ref-type="bibr" rid="B17">Sousa et al., 2021</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Uncertainty components of the gravimetric method.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Uncertainty components</th>
<th align="center">Standard uncertainty</th>
<th align="center">Evaluation process</th>
<th align="center">Distribution</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Temperature of the water</td>
<td align="center">
<italic>u</italic>(<italic>T</italic>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Density of water</td>
<td align="center">
<italic>u</italic> (<italic>&#x3c1;</italic>
<sub>W</sub>)</td>
<td align="center">Literature</td>
<td align="center">Rectangular</td>
</tr>
<tr>
<td align="left">Density of air</td>
<td align="center">
<italic>u</italic> (<italic>&#x3c1;</italic>
<sub>A</sub>)</td>
<td align="center">Literature</td>
<td align="center">Rectangular</td>
</tr>
<tr>
<td align="left">Density of mass pieces</td>
<td align="center">
<italic>u</italic> (<italic>&#x3c1;</italic>
<sub>B</sub>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Initial time</td>
<td align="center">
<italic>u</italic> (<italic>t</italic>
<sub>i</sub>)</td>
<td align="center">Estimation (1&#xa0;&#x3bc;s)</td>
<td align="center">Rectangular</td>
</tr>
<tr>
<td align="left">Final time</td>
<td align="center">
<italic>u</italic> (<italic>t</italic>
<sub>f</sub>)</td>
<td align="center">Estimation (1&#xa0;&#x3bc;s)</td>
<td align="center">Rectangular</td>
</tr>
<tr>
<td align="left">Initial mass</td>
<td align="center">
<italic>u</italic> (<italic>I</italic>
<sub>.E.,</sub>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Final mass</td>
<td align="center">
<italic>u</italic> (<italic>I</italic>
<sub>L</sub>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Expansion coefficient</td>
<td align="center">
<italic>u</italic>(<italic>&#x3b3;</italic>)</td>
<td align="center">Literature</td>
<td align="center">Rectangular</td>
</tr>
<tr>
<td align="left">Evaporation</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>
<italic>evap</italic>
</sub>)</td>
<td align="center">Standard deviation of the measurements</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Buoyancy</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>
<italic>m</italic>buoy</sub>)</td>
<td align="center">Calibration certificate (depends on the radius determination)</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Repeatability</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>re<italic>p</italic>
</sub>)</td>
<td align="center">Standard deviation of the measurements</td>
<td align="center">Normal</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2">
<title>2.2 Interferometric method</title>
<p>The interferometric method developed (<xref ref-type="bibr" rid="B7">Batis et al., 2020</xref>) incorporates a laser unit (Hewlett-Packard, model 5528&#xa0;A) operating at 633&#xa0;nm, with signal processing managed by a LABVIEW script specifically developed for this purpose. The optical arrangement consists of two retroreflector cubes, complemented by a control unit, a pusher block, a flow generator, and a syringe. <xref ref-type="fig" rid="F2">Figure 2</xref> illustrates an example of the experimental setup.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Interferometric schematic. <bold>(A)</bold> Is the interferometer, <bold>(B)</bold> and <bold>(C)</bold> are retroreflector cubes, <bold>(D)</bold> is a flow generator, <bold>(E)</bold> is a glass syringe that is filled with the calibration fluid connected to a tubing <bold>(F)</bold>.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g002.tif">
<alt-text content-type="machine-generated">Diagram of an experimental setup with labeled components: A rectangular object labeled A on the left on a stand, a square object labeled B with a diagonal line, another square device labeled C with a triangle symbol, a rectangular base labeled D beneath C, a needle-like object labeled E extending horizontally from C, and a thin line labeled F extending to the right from E.</alt-text>
</graphic>
</fig>
<p>In practice, the flow generation was accomplished by a stepper motor that drove a screw connected to a pusher block that itself pushed the syringe piston. One of the reflector cubes was added on top of this pusher block.</p>
<p>Knowing the internal diameter of the syringe (made of glass or plastic) with very high precision (see 2.5), the travelled distance, and the time needed for that travelled distance (elapse time), it is possible to calculate the flow rate of the fluid inside the syringe.</p>
<p>This method was used to calibrate flow meters and syringe pumps.</p>
<p>The uncertainty components of this method are described in <xref ref-type="table" rid="T2">Table 2</xref>. In addition, the uncertainty calculation can be found in detail in (<xref ref-type="bibr" rid="B1">Alvares, 2020</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Uncertainty components of the interferometric method.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Uncertainty components</th>
<th align="center">Standard uncertainty</th>
<th align="center">Evaluation process</th>
<th align="center">Distribution</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Distance</td>
<td align="center">
<italic>u</italic>(<italic>d</italic>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Inner diameter</td>
<td align="center">
<italic>u</italic>(<italic>r</italic>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Time</td>
<td align="center">
<italic>u</italic>(<italic>t</italic>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Temperature</td>
<td align="center">
<italic>u(T</italic>
<sub>
<italic>W</italic>
</sub>
<italic>)</italic>
</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Expansion coefficient</td>
<td align="center">
<italic>u</italic>(<italic>&#x3b3;</italic>)</td>
<td align="center">Literature</td>
<td align="center">Rectangular</td>
</tr>
<tr>
<td align="left">Stability</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>
<italic>sta</italic>
</sub>)</td>
<td align="center">Standard deviation of stability measurements</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Repeatability</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>re<italic>p</italic>
</sub>)</td>
<td align="center">Standard deviation of the mean of the flow measurements</td>
<td align="center">Normal</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-3">
<title>2.3 Front track method</title>
<p>The front tracking method involves monitoring the position of the meniscus (liquid/air interface) inside a capillary tube over time. By knowing the displacement of the meniscus and the internal cross-sectional area of the capillary, the flow rate can be calculated. A high-resolution Alvium 1800 U-1240 camera with a 12&#xa0;MP resolution and a Qioptic Optem 7:1 telecentric zoom lens was used for this purpose. The camera is connected to a computer and utilizes Python programming to identify the meniscus and determine its position, a translucent paper and a LED light are used as background illumination, allowing to decrease the reflection caused by ambient light, and obtain a good contrast between the background and the liquid meniscus. The setup is illustrated in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Schematic of the general experimental setup for the front track method, where <bold>(A)</bold> is the flow generator, <bold>(B)</bold> is the syringe, <bold>(C)</bold> is the connection line, <bold>(D)</bold> is the camera, <bold>(E)</bold> is the capillary tube, <bold>(F)</bold> is the translucent paper and <bold>(G)</bold> is the LED light.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g003.tif">
<alt-text content-type="machine-generated">Diagram depicting apparatus components. A large rectangle labeled A, connected to a smaller rectangle B with a cable C extending to a speaker-like object D. Next to D, a thin barrier E stands before a vertical line F. Beyond F, a small rectangular object G is positioned.</alt-text>
</graphic>
</fig>
<p>The front track method can be applied in several type of flow measurement instruments like syringe pumps, microflow chips and flow meters down to 1.6&#xa0;nL/min (0.1&#xa0;&#x3bc;L/h) with 7% uncertainty.</p>
<p>The front track method can be applied in several types of flow measurement instruments, such as syringe pumps, microflow chips and flow meters. More information on this method and the uncertainty calculation can be found in (<xref ref-type="bibr" rid="B12">Bissig et al., 2015</xref>) and (<xref ref-type="bibr" rid="B1">Alvares, 2020</xref>). The uncertainty components of this method are described in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Uncertainty components of the front track method.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Uncertainty components</th>
<th align="center">Standard uncertainty</th>
<th align="center">Evaluation process</th>
<th align="center">Distribution</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Meniscus displacement</td>
<td align="center">
<italic>u</italic>(&#x394;)</td>
<td align="center">Experimental and calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Capillary radius</td>
<td align="center">
<italic>u</italic>(<italic>r</italic>)</td>
<td align="center">Experimental and calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Time</td>
<td align="center">
<italic>u</italic>(<italic>t</italic>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Temperature</td>
<td align="center">
<italic>u(T</italic>
<sub>
<italic>W</italic>
</sub>
<italic>)</italic>
</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Expansion coefficient</td>
<td align="center">
<italic>u</italic>(<italic>&#x3b3;</italic>)</td>
<td align="center">Literature</td>
<td align="center">Rectangular</td>
</tr>
<tr>
<td align="left">Stability</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>
<italic>sta</italic>
</sub>)</td>
<td align="center">Standard deviation of stability measurements</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Repeatability</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>re<italic>p</italic>
</sub>)</td>
<td align="center">Standard deviation of the mean of the flow measurements</td>
<td align="center">Normal</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-4">
<title>2.4 Pending drop method</title>
<p>The pending drop method (<xref ref-type="bibr" rid="B9">Batista et al., 2021</xref>) involves measuring the volume (<italic>V</italic>) of a drop, its growth over time (<italic>t</italic>), and applying an evaporation correction (evap). This method is based on visualizing the increase in the volume of a drop over time, using a high-resolution Alvium 1800 U-1240 camera with a 12&#xa0;MP resolution and a Qioptic Optem 7:1 telecentric zoom lens (<xref ref-type="fig" rid="F4">Figure 4</xref>). The camera is connected to a computer, which processes the data. The image analysis program developed in Python consists of four steps: scale definition, image segmentation, contour determination and volume calculation. It can be used to calibrate syringe pumps from 100&#xa0;&#x3bc;L/h to 1,000&#xa0;&#x3bc;L/h.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Schematic of the second experimental setup of the pending drop method, where <bold>(A)</bold> is a flow generator, <bold>(B)</bold> is the glass syringe, <bold>(C)</bold> is the connection line, <bold>(D)</bold> is the camera, <bold>(E)</bold> is the evaporation trap, <bold>(F)</bold> is the paper and <bold>(G)</bold> the LED light.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g004.tif">
<alt-text content-type="machine-generated">Diagram of a mechanical assembly with labeled components: A, B, C, D, E, F, and G. Component B extends from A, connecting to C, which leads to D and E. F is a vertical line, with G positioned to the right.</alt-text>
</graphic>
</fig>
<p>More information on this method and the uncertainty calculation can be found in (<xref ref-type="bibr" rid="B9">Batista et al., 2021</xref>). The uncertainty components of this method are described in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Uncertainty components of the pending drop method.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Uncertainty components</th>
<th align="center">Standard uncertainty</th>
<th align="center">Uncertainty evaluation process</th>
<th align="center">Uncertainty distribution</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Radius</td>
<td align="center">
<italic>u</italic>(<italic>r</italic>)</td>
<td align="center">Experimental and calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Time</td>
<td align="center">
<italic>u</italic>(<italic>t</italic>)</td>
<td align="center">Calibration certificate</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Evaporation</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Qevap</italic>)</td>
<td align="center">Experimental tests</td>
<td align="center">Normal</td>
</tr>
<tr>
<td align="left">Repeatability</td>
<td align="center">
<italic>u</italic> (<italic>&#x3b4;Q</italic>
<sub>re<italic>p</italic>
</sub>)</td>
<td align="center">Standard deviation of the mean of the flow measurements</td>
<td align="center">Normal</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>This method has still some limitation of use for high flow rates and at lower flow range has high uncertainty values. It can be used for the calibration of syringe pumps from 100&#xa0;&#x3bc;L/h to 1,000&#xa0;&#x3bc;L/h with an average standard uncertainty of 5%. More information on this method can be found in (<xref ref-type="bibr" rid="B1">Alvares, 2020</xref>; <xref ref-type="bibr" rid="B5">Batista et al., 2020</xref>).</p>
</sec>
<sec id="s2-5">
<title>2.5 Inner diameter measurements of glass syringes and capillaries</title>
<p>In all the methods described above a flow generator using glass syringes is used. The inner diameter determination of the syringe is critical for assuring the precision of the flow determination and it must be done using appropriate and traceable methods. In this work the gravimetric method is used to determine the inner diameter of all the used syringes (<xref ref-type="fig" rid="F5">Figure 5</xref>) and also the capillaries used in the front track method. This procedure consists in measuring the liquid volume of a specific length of the glass tube. Knowing these two quantities it is possible to determine the average inner diameter of a capillary or syringe. More information on this method can be found in (<xref ref-type="bibr" rid="B3">Batista et al., 2023</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Gravimetric experimental setup for the syringe volume determination.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g005.tif">
<alt-text content-type="machine-generated">A person in a red sleeve is using a scientific instrument, likely a density measuring device, on a laboratory bench. The device is encased in a transparent enclosure, with a digital screen displaying measurements. The surrounding area has various lab equipment and materials.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="results|discussion" id="s3">
<title>3 Results and discussion</title>
<p>The measurement error presented in this paper was determined according to the International Vocabulary of Metrology (VIM) (<xref ref-type="bibr" rid="B11">BIPM et al., 2012</xref>), as is defined as the measured quantity value minus a reference quantity value, <xref ref-type="disp-formula" rid="e1">Equation 1</xref>.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mtext>Metrological&#x2009;error</mml:mtext>
<mml:msub>
<mml:mrow>
<mml:mo>:</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>o</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>Q</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>Q</mml:mi>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>f</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:msub>
<mml:mi>Q</mml:mi>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>f</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mfrac>
<mml:mn>100</mml:mn>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>where:</p>
<p>
<italic>A</italic>
<sub>
<italic>Metro</italic>
</sub> is the relative flow measurement error or systematic error as defined by VIM (<xref ref-type="bibr" rid="B11">BIPM et al., 2012</xref>), <italic>Q</italic>
<sub>
<italic>ref</italic>
</sub> is the reference flow rate determined by the reference measurement method (e.g., gravimetric method), <italic>Q</italic>
<sub>
<italic>set</italic>
</sub> is the flow rate set or the indicated flow rate at the instrument under calibration (e.g., 1&#xa0;mL/h).</p>
<p>A precision Nexus 3,000 pump with 1&#xa0;mL glass syringe was calibrated using the methods described above at the following flow rates: 1,000&#xa0;&#x3bc;L/h, 500&#xa0;&#x3bc;L/h, 100&#xa0;&#x3bc;L/h, 10&#xa0;&#x3bc;L/h, 1&#xa0;&#x3bc;L/h.</p>
<p>The results are presented in <xref ref-type="fig" rid="F6">Figure 6</xref> and <xref ref-type="table" rid="T5">Table 5</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Comparison of Nexus pump calibration results with a 1&#xa0;mL syringe.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g006.tif">
<alt-text content-type="machine-generated">Comparison chart of syringe methods showing error percentages against flow rates in microliters per hour. Gravimetric, interferometric, drop method setup 3, and front track method setup 2 are color-coded. Error bars indicate variability across methods.</alt-text>
</graphic>
</fig>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Calibration results of nexus pump calibration.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Nominal flow (mL/h)</th>
<th colspan="2" align="center">Interferometric</th>
<th colspan="2" align="center">Front track</th>
<th colspan="2" align="center">Gravimetric</th>
<th colspan="2" align="center">Pending drop</th>
</tr>
<tr>
<th align="left">Error (%)</th>
<th align="left">
<italic>U</italic> (%)</th>
<th align="left">Error (%)</th>
<th align="left">
<italic>U</italic> (%)</th>
<th align="left">Error (%)</th>
<th align="left">
<italic>U</italic> (%)</th>
<th align="left">Error (%)</th>
<th align="left">
<italic>U</italic> (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="center">&#x2212;7.6</td>
<td align="center">3.2</td>
<td align="center">0.9</td>
<td align="center">6.9</td>
<td align="center">&#x2212;8.0</td>
<td align="center">23.0</td>
<td align="center">&#x2212;20.4</td>
<td align="center">87.1</td>
</tr>
<tr>
<td align="left">10</td>
<td align="center">&#x2212;1.7</td>
<td align="center">2.1</td>
<td align="center">0.3</td>
<td align="center">3.0</td>
<td align="center">&#x2212;2.0</td>
<td align="center">3.7</td>
<td align="center">&#x2212;1.0</td>
<td align="center">30.4</td>
</tr>
<tr>
<td align="left">100</td>
<td align="center">&#x2212;1.8</td>
<td align="center">2.8</td>
<td align="center">0.4</td>
<td align="center">2.1</td>
<td align="center">&#x2212;0.7</td>
<td align="center">2.4</td>
<td align="center">&#x2212;1.0</td>
<td align="center">9.8</td>
</tr>
<tr>
<td align="left">500</td>
<td align="center">&#x2212;0.7</td>
<td align="center">2.5</td>
<td align="center">0.0</td>
<td align="center">1.4</td>
<td align="center">&#x2212;0.6</td>
<td align="center">1.2</td>
<td align="center">&#x2212;3.7</td>
<td align="center">4.4</td>
</tr>
<tr>
<td align="left">1,000</td>
<td align="center">&#x2212;1.1</td>
<td align="center">1.9</td>
<td align="center">0.3</td>
<td align="center">1.5</td>
<td align="center">&#x2212;0.6</td>
<td align="center">1.0</td>
<td align="center">&#x2212;4.9</td>
<td align="center">3.2</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>From the figure above it can be seen that the results from all the methods are consistent on all points.</p>
<p>The method with the larger uncertainty in <xref ref-type="fig" rid="F6">Figure 6</xref> is the pending drop method, which is recommended to be used only above 100&#xa0;mL/h with an expanded uncertainty from 5% to 10%.</p>
<p>In the gravimetric method, it was possible to measure down to 10&#xa0;&#x3bc;L/h with an acceptable expanded uncertainty of 2.6%; this allowed a decrease of range in the volume and flow laboratory of IPQ that was previously of 120&#xa0;mL/h with 2.5% uncertainty.</p>
<p>The front track method can go to 1&#xa0;&#x3bc;L/h with an expanded uncertainty of 7%.</p>
<p>The method with the smaller uncertainty is the interferometric method, especially at low flow rates. However, the instruments need to have an external piston for this method to be employed.</p>
<p>Tests were also performed with a Cetoni pump (<xref ref-type="fig" rid="F7">Figure 7</xref>) at 0.1&#xa0;mL/h using a 100&#xa0;&#x3bc;L glass syringe with the interferometric method. The results were really outstanding, with an error of 1.7% and an expanded uncertainty of 1.9%.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Cetoni pump calibration setup using the interferometric method, where <bold>(A)</bold> is the Cetoni syringe pump; <bold>(B)</bold> is the Retroreflector cube; <bold>(C)</bold> is the 100&#xa0;&#x3bc;L glass syringe; <bold>(D)</bold> is the other Retroreflector cube; <bold>(E)</bold> is the Laser unit.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g007.tif">
<alt-text content-type="machine-generated">A laboratory setup featuring labeled equipment: A is a Cetoni Base 120, located at the forefront. B is a black box component connected to C, a small white device with an orange element. D is a black mount or holder, and E is a grey box with a circular interface. The setup is on a blue floor within a lab environment.</alt-text>
</graphic>
</fig>
<p>This interferometric method can calibrate flow meters and syringe pumps from 5,000 mL/h down to 1.6 nL/min (0.1 &#x3bc;L/h) with an expanded uncertainty range of (1.9&#x2013;0.9) %. The calibration of a thermal Sensirion flow meter (Figure 8) was performed with the interferometer method and the front track method, tested at 1,500 nL/ min, 1,000 nL/min, 500 nL/min, 100 nL/min, 70 nL/min, 50 nL/min and 20 nL/min.</p>
<p>The results are presented <xref ref-type="table" rid="T6">Table 6</xref> and <xref ref-type="fig" rid="F8">Figure 8</xref>.</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Calibration results of a thermal sensirion flow meter.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Nominal<break/>Flow rate (nL/min)</th>
<th rowspan="2" align="center">Nominal flow rate (mL/h)</th>
<th colspan="2" align="center">Interferometric method</th>
<th colspan="2" align="center">Front track method</th>
</tr>
<tr>
<th align="center">Error (%)</th>
<th align="center">Uncertainty (%)</th>
<th align="center">Error (%)</th>
<th align="center">Uncertainty (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1,500</td>
<td align="center">90</td>
<td align="center">1.0</td>
<td align="center">2.0</td>
<td align="center">0.3</td>
<td align="center">3.4</td>
</tr>
<tr>
<td align="left">1,000</td>
<td align="center">60</td>
<td align="center">2.7</td>
<td align="center">2.0</td>
<td align="center">4.0</td>
<td align="center">3.4</td>
</tr>
<tr>
<td align="left">500</td>
<td align="center">30</td>
<td align="center">4.0</td>
<td align="center">2.1</td>
<td align="center">2.2</td>
<td align="center">3.4</td>
</tr>
<tr>
<td align="left">100</td>
<td align="center">6</td>
<td align="center">5.8</td>
<td align="center">2.4</td>
<td align="center">2.3</td>
<td align="center">3.9</td>
</tr>
<tr>
<td align="left">70</td>
<td align="center">4.2</td>
<td align="center">5.8</td>
<td align="center">2.4</td>
<td align="center">4.3</td>
<td align="center">4.4</td>
</tr>
<tr>
<td align="left">50</td>
<td align="center">3</td>
<td align="center">5.2</td>
<td align="center">3.0</td>
<td align="center">5.1</td>
<td align="center">5.1</td>
</tr>
<tr>
<td align="left">20</td>
<td align="center">1.2</td>
<td align="center">4.6</td>
<td align="center">5.1</td>
<td align="center">0.4</td>
<td align="center">9.9</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Sensirion flow meter.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g008.tif">
<alt-text content-type="machine-generated">A mechanical component with attached cables on a textured green metal platform. The setup is likely part of an industrial or laboratory equipment assembly, involving precise positioning or measurement technology.</alt-text>
</graphic>
</fig>
<p>It can be verified from <xref ref-type="fig" rid="F9">Figure 9</xref> that the results are consistent in both methods used in the tests, and the uncertainty in general, smaller for the interferometer method.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Calibration of a thermal sensirion flow meter.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g009.tif">
<alt-text content-type="machine-generated">Scatter plot titled &#x201C;Sensirion meter calibration&#x201D; showing error percentages for flow rates on a logarithmic scale. Blue squares represent the front tracking method and orange circles the interferometric method, with error bars included. Both methods show varying levels of error across different flow rates.</alt-text>
</graphic>
</fig>
<p>In order to test the methods with an instrument used in real life application a perfusor space BBraun syringe pump, used in hospitals to administrate drug to patients (<xref ref-type="fig" rid="F10">Figure 10</xref>), was calibrated with water at flow rates 5,000&#xa0;&#x3bc;L/h, 1,000&#xa0;&#x3bc;L/h, 500&#xa0;&#x3bc;L/h, 100&#xa0;&#x3bc;L/h, using the methods described in <xref ref-type="sec" rid="s2">section 2</xref>.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Calibration of BBraun pump with a 10&#xa0;mL syringe using the gravimetric method.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g010.tif">
<alt-text content-type="machine-generated">Laboratory setup with an analytical balance enclosed in a glass case on the left and a medical infusion pump on the right. A digital display and control panel are visible on both devices, connected by tubing.</alt-text>
</graphic>
</fig>
<p>The results presented in <xref ref-type="fig" rid="F11">Figure 11</xref> are consistent for all methods and in all flow rate points. The uncertainty values are very similar for all methods regarding each calibration point. More results on this pump can be found in (<xref ref-type="bibr" rid="B2">Batista, 2022</xref>).</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Calibration of BBraun pump with a 10&#xa0;mL syringe.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g011.tif">
<alt-text content-type="machine-generated">Graph comparing error percentages of a 10 mL B Braun syringe across different flow rates in microliters per hour. Methods include interferometric, gravimetric, drop method setup, and front track method setup. Error ranges from minus twenty to twenty percent, with data points clustered near zero percent error for lower flow rates and varying at higher rates.</alt-text>
</graphic>
</fig>
<p>Finally, a microfluidic Lab-On-a-Chip device (<xref ref-type="fig" rid="F12">Figure 12</xref>) for passive mixing and magnetic separation of bioanalytes with square channel cross-section and obstacles that promotes a mixture of components for sample preparation was also characterized using the front track method and the gravimetric method.</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Microfluidic Lab-On-a-Chip device for passive mixing and magnetic separation of bioanalytes.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g012.tif">
<alt-text content-type="machine-generated">First panel shows a diagram of a microchannel layout, measuring 30 by 36 millimeters. Second panel is a close-up image of the microchannel structure with labeled scale showing 500 micrometers. Third panel depicts gloved hands handling a microchannel device, indicating a laboratory setting.</alt-text>
</graphic>
</fig>
<p>The chips were tested at 600&#xa0;&#x3bc;L/h because this is the flow rate at which this chip is used. Water was used as a calibration liquid. The total acquisition time was 15&#xa0;min, with one data point obtained at every 30&#xa0;s. Tests were performed with and without the chip and three replicates were performed for each method. All the results, including the average of the replicates, are presented in <xref ref-type="fig" rid="F13">Figure 13</xref>.</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Comparison methods for microchips calibration.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g013.tif">
<alt-text content-type="machine-generated">Bar graph comparing two methods: the front track method setup (orange) and gravimetric method (blue) across five categories, including &#x201C;Without Chip&#x201D; and &#x201C;Average.&#x201D; Values range from 540 to 640.</alt-text>
</graphic>
</fig>
<p>The results in <xref ref-type="fig" rid="F13">Figure 13</xref> were consistent for the two methods used. The uncertainties values were very similar for the two methods, being higher for the front track method, probably due to the short acquisition time arising from the limitations of the capillary used.</p>
</sec>
<sec id="s4">
<title>4 Methods validation</title>
<p>To validate the methods developed, especially the interferometric method that gives a smaller uncertainty and can go down to 0.1&#xa0;&#x3bc;L/h, IPQ participated in EURAMET project 1508. The results for the calibration of a Cetoni precision pump are presented in <xref ref-type="fig" rid="F14">Figure 14</xref> (<xref ref-type="bibr" rid="B15">EURAMET, 2022</xref>). The results of IPQ are consistent with the reference value, which was estimated based on the weighting mean of all participants at all points.</p>
<fig id="F14" position="float">
<label>FIGURE 14</label>
<caption>
<p>Intercomparison results for a cetoni pump calibration.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g014.tif">
<alt-text content-type="machine-generated">Scatter plot showing percent error versus flow rate in nanoliters per minute on a logarithmic scale. Data points from different labs (A, B, C, E, F, G, I, REF2) are color-coded with error bars, centering around zero percent error, with varied spread.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s5">
<title>5 Methods comparison, applications, advantages and limitations</title>
<p>In <xref ref-type="fig" rid="F15">Figure 15</xref> is possible to see summarizes the range of application and uncertainty of the methodologies developed in the scope of this work for flow measurements.</p>
<fig id="F15" position="float">
<label>FIGURE 15</label>
<caption>
<p>Comparison of methods used in micro and nano flow measurements.</p>
</caption>
<graphic xlink:href="fnano-07-1600426-g015.tif">
<alt-text content-type="machine-generated">Bar chart comparing calibration methods by volumetric flow rate in microliters per hour. Methods include gravimetry, interferometry, pending drop, and front track. Blue bars represent data before 2017, and orange bars indicate methods developed in the current work. Uncertainty is marked in blue. Percentage values on the bars reflect error margins: 2.5 to 0.1 percent for gravimetry and other specified values for different methods and conditions.</alt-text>
</graphic>
</fig>
<p>The developed interferometric method demonstrated exceptional performance, enabling flow measurements as low as 0.1&#xa0;&#x3bc;L/h with uncertainty values below 2%. It is compatible with any flow generator equipped with an external motor, where the pusher block and the interferometer reflector cube are added (e.g., Nexus syringe pump). However, despite its precision, the method can be costly to implement in a laboratory setting due to the high price of the required instrumentation. Additionally, successful deployment necessitates specialized technical knowledge in interferometry.</p>
<p>The front track method offers a viable option for measuring flow rates as low as 0.1&#xa0;&#x3bc;L/h across various flow generators, flow meters, insulin pumps and microfluidic chips. However, the method currently exhibits high uncertainty levels. To improve accuracy, testing with smaller capillaries is recommended, as this could reduce the measurement range and extend testing time&#x2014;potentially achieving acceptable uncertainty levels between 2% and 3%. Despite its limitations, the method is characterized by its ease of implementation, straightforward handling procedures, and low cost.</p>
<p>In this work, the gravimetric method was successfully extended to measure flow rates down to 10&#xa0;&#x3bc;L/h, compared to the previous limit of 100&#xa0;&#x3bc;L/h. However, there remains potential for further improvement in both measurement range and uncertainty. This method is compatible with any flow generator, flow meter, or microfluidic device that work down to 10&#xa0;&#x3bc;L/h, though it generally exhibits higher uncertainty than the interferometric method. Similar to the front track method, it is easy to implement and operate, and it involves relatively low costs.</p>
<p>The pending drop method also presents significant potential for improvement, particularly in controlling evaporation, which currently contributes to higher uncertainty values compared to the interferometric, gravimetric, and front track methods. Additionally, its operational range is more limited. Nevertheless, the method is highly versatile, suitable for use with many microfluidic or flow measurement device that work up to 100&#xa0;&#x3bc;L/h. It is also easy to use and cost-effective to implement in a laboratory setting.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>6 Conclusion</title>
<p>The implementation of the methodologies explored in this work was designed to enable the calibration of various types of instruments with different characteristics, such as precision syringes, perfusion syringes, microchips, and flowmeters, which are commonly used in the health and pharmaceutical industries as well as in microfluidic technologies. This calibration is crucial for ensuring the accuracy and reliability of these instruments.</p>
<p>It is essential that this information is disseminated not only to the scientific community but also to the medical and biomedical communities. Sharing these findings with healthcare professionals and researchers can foster collaboration and innovation, leading to further advancements in medical technology and practices. Additionally, manufacturers of medical instruments and other flow devices should be informed of these methodologies to ensure that their products meet the highest standards of accuracy and reliability.</p>
<p>In this work, the gravimetric method was improved for microflow measurements but there is still room for improvement. Three new methods were developed, and microfluidic chips were manipulated and tested for the first time at IPQ-LVC.</p>
<p>The interferometric method had the best performance regarding all methods tested but has some limitation in the type of instrument used (it must have an external motor) and cost of installation. The front track method is a good option that can be used for any type of flow measuring instrument or microfluidic device but more work is needed in order to decrease the uncertainty. The pending drop method has the worst performance of the four methods but is easy to use and low-cost i2mplementation.</p>
<p>All methods were internally validated by comparison with each other in the calibration of several flow measuring instruments.</p>
<p>This work served as the basis for the development of the EURAMET Guide CG-27, &#x201c;Guidelines for the Calibration of Drug Delivery Devices and Infusion Device Analysers&#x201d; (<xref ref-type="bibr" rid="B14">EURAMET guide cg 27, 2024</xref>). This document provides standardized procedures for testing microflow and nanoflow instruments aiming to improve the accuracy and comparability of measurement results Additionally, it contributed to the publication of the new EURAMET Technical Guide 4, &#x201c;Evaluation of Flow-Related Quantities in Microfluidic Devices (<xref ref-type="bibr" rid="B13">EURAMET, 2024</xref>), but despite advancements in flow measurement techniques, challenges remain, particularly in microfluidics applications such has organ-on-chip. Ensuring traceability and accuracy at these scales requires ongoing research and development.</p>
<p>The development of standardized calibration methods and advanced measurement techniques for validating manufacturing, performance, and safety are essential in shaping the future of healthcare and microfluidic technology. The new EPM MFMET II project aims to fill these gaps by developing protocols and guidelines to support standardization efforts (<xref ref-type="bibr" rid="B16">Mfmet.eu, 2025</xref>).</p>
<p>Metrology is a key enabler of innovation and patient safety in healthcare. By ensuring the accuracy and reliability of drug delivery systems and diagnostic devices, like organ-on-chips, metrology helps reduce errors, enhance treatment efficacy, and save lives.</p>
<p>Going forward, standardized calibration methods, advanced measurement techniques, and collaborative research will be essential in shaping the future of healthcare technology.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: No restrictions. Requests to access these datasets should be directed to ebatista@ipq.pt.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>EB: Conceptualization, Investigation, Methodology, Validation, Visualization, Writing &#x2013; original draft. RM: Supervision, Writing &#x2013; review and editing. VS: Investigation, Resources, Validation, Writing &#x2013; review and editing. IG: Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The EMPIR and EPM projects &#x201c;18HLT08 MeDD2&#x201d; and &#x201c;24NRM03 MFMET II&#x201d; have received funding from the EMPIR and EPM programme co-financed by the Participating States and from the European Union&#x2019;s Horizon 2020 research and innovation programme.</p>
</sec>
<ack>
<p>The EMPIR projects &#x201c;18HLT08 MeDD2&#x201d; and &#x201c;24NRM03 MFMET II&#x201d; have received funding from the EMPIR and EPM programme co-financed by the Participating States and from the European Union&#x2019;s Horizon 2020 research and innovation programme.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. The AI tool was used for text improving.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<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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