Project deliverable Open Access

D1.2 - Report on the state-of-the-art review

Marvin Münzberg; Sebastian Zimmermann; Simona Neri


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    <subfield code="a">Measurement techniques</subfield>
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    <subfield code="a">Particle size</subfield>
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    <subfield code="u">IRIS Technology Solutions S.L.</subfield>
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    <subfield code="a">Simona Neri</subfield>
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    <subfield code="a">Marvin Münzberg</subfield>
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    <subfield code="a">D1.2 - Report on the state-of-the-art review</subfield>
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    <subfield code="a">Process Analytical Technologies for Industrial Nanoparticle Production</subfield>
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    <subfield code="a">&lt;p&gt;While bulk materials have constant physical properties independent of their size, the physical and chemical properties of a nanoparticle are dictated by its size. Accurate characterisation of mean size, size distribution and shape is key to the efficient manufacturing of high-quality nanomaterials. The EU-funded &lt;strong&gt;NanoPAT&lt;/strong&gt; &lt;strong&gt;project&lt;/strong&gt; plans to use three new real-time analytical tools that overcome problems and limitations of conventional characterisation technologies. The new process analytical technologies (PAT) will be photon density wave spectroscopy, optofluidic force induction and turbidity spectrometry. The innovative technologies will be combined with new data analysis methods to provide, for the first time, real-time analysis of particles on the nanometre scale with sub-minute temporal resolution.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;This deliverable discusses the &lt;strong&gt;state-of-the-art measurement techniques in the context of particle sizing and industrial application&lt;/strong&gt;. &lt;em&gt;Inline&lt;/em&gt; and &lt;em&gt;offline&lt;/em&gt; techniques are shortly discussed, with a focus on the inline applicability of the considered techniques. In this discussion the terms &lt;em&gt;inline&lt;/em&gt;, &lt;em&gt;online&lt;/em&gt; and &lt;em&gt;atline&lt;/em&gt; need to be discriminated. &lt;em&gt;Inline&lt;/em&gt; monitoring will happen directly inside the process, at best faster than observable process changes. &lt;em&gt;Online&lt;/em&gt; analysers are connected to the process (e.g. in a bypass) and ideally have a similar time resolution like &lt;em&gt;inline&lt;/em&gt; analysers. &lt;em&gt;Atline&lt;/em&gt; devices are separated but close to the process, while offline analysis happens spatially and timely separated.&lt;/p&gt;</subfield>
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