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          <dc:title>Modeling Xanthophyll
Excited States via Cost-Effective
Quantum Chemistry methods and Property-Based Diabatization</dc:title>
          <dc:creator>Amanda Arcidiacono (18462509)</dc:creator>
          <dc:creator>Valentino Martini (24247700)</dc:creator>
          <dc:creator>Lorenzo Cupellini (1562617)</dc:creator>
          <dc:creator>Laura Pedraza-González (3217155)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>understanding xanthophyll photophysics</dc:subject>
          <dc:subject>photosynthetic light harvesting</dc:subject>
          <dc:subject>offers practical guidance</dc:subject>
          <dc:subject>length alternation coordinate</dc:subject>
          <dc:subject>fomo – ci</dc:subject>
          <dc:subject>ionic configurations induced</dc:subject>
          <dc:subject>remarkably consistent description</dc:subject>
          <dc:subject>mpd framework enables</dc:subject>
          <dc:subject>lying excited states</dc:subject>
          <dc:subject>consistent framework</dc:subject>
          <dc:subject>ionic 1b</dc:subject>
          <dc:subject>excited states</dc:subject>
          <dc:subject>accurate description</dc:subject>
          <dc:subject>work establishes</dc:subject>
          <dc:subject>u &lt;/</dc:subject>
          <dc:subject>sub &gt;&lt;</dc:subject>
          <dc:subject>structural distortions</dc:subject>
          <dc:subject>state lies</dc:subject>
          <dc:subject>state character</dc:subject>
          <dc:subject>representative set</dc:subject>
          <dc:subject>remaining differences</dc:subject>
          <dc:subject>reference spin</dc:subject>
          <dc:subject>multireference character</dc:subject>
          <dc:subject>g &lt;/</dc:subject>
          <dc:subject>extended π</dc:subject>
          <dc:subject>environmental effects</dc:subject>
          <dc:subject>electronic structure</dc:subject>
          <dc:subject>direct comparison</dc:subject>
          <dc:subject>correlation functional</dc:subject>
          <dc:subject>calculations suggest</dc:subject>
          <dc:subject>biological systems</dc:subject>
          <dc:subject>based diabatization</dc:subject>
          <dc:description>Xanthophyll carotenoids
play essential roles in photosynthetic
light harvesting and photoprotection in biological systems, yet the
accurate description of their excited states at a feasible computational
cost remains challenging due to their extended π-conjugation
and multireference character. Here, we compare the DFT/MRCI, FOMO–CI,
and mixed-reference spin-flip TDDFT (MRSF-TDDFT) descriptions of the
excited states for a representative set of xanthophylls. We analyze
vertical excitation energies and potential energy profiles along the
bond-length alternation coordinate, adopting a multiple-property-based
diabatization (MPD) scheme to consistently characterize electronic
states across methods. We find a remarkably consistent description
of the low-lying excited states and their potential energy curves
across the methods. DFT/MRCI and the semiempirical FOMO–CI
exhibit closely aligned behavior across xanthophylls, while the performance
of MRSF-TDDFT depends on the choice of exchange-correlation functional.
Overall, our calculations suggest that the covalent 2A&lt;sub&gt;&lt;i&gt;g&lt;/i&gt;&lt;/sub&gt;&lt;sup&gt;–&lt;/sup&gt; state lies below the ionic 1B&lt;sub&gt;&lt;i&gt;u&lt;/i&gt;&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt; at the Franck–Condon point.
Our analysis provides general insight into the electronic structure
of xanthophylls, including the interplay between covalent and ionic
configurations induced by structural distortions and environmental
effects. The MPD framework enables a direct comparison of state character,
highlighting the similarities between methods and clarifying the origin
of remaining differences. This work establishes a consistent framework
for understanding xanthophyll photophysics and offers practical guidance
for modeling their excited states with cost-effective methods.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.jctc.6c00637.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Modeling_Xanthophyll_Excited_States_via_Cost-Effective_Quantum_Chemistry_methods_and_Property-Based_Diabatization/32747300</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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      <header>
        <identifier>oai:figshare.com:article/32747297</identifier>
        <datestamp>2026-06-20T00:00:00Z</datestamp>
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      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Engineering Oxidation-Responsive
Polymeric Self-Assembled
Nanoreactors for Enhanced Reactive Oxygen Species (ROS) Scavenging</dc:title>
          <dc:creator>Ying Yang (24175)</dc:creator>
          <dc:creator>Suzhen Wang (163752)</dc:creator>
          <dc:creator>Yuzhe Ma (21222683)</dc:creator>
          <dc:creator>Delong Yang (8783270)</dc:creator>
          <dc:creator>Xingchen Li (5844116)</dc:creator>
          <dc:creator>Xiaoxiao Li (195315)</dc:creator>
          <dc:creator>Hailong Che (3694213)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Microbiology</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>vivo assessments demonstrate</dc:subject>
          <dc:subject>responsive polymeric self</dc:subject>
          <dc:subject>oxidative stress mitigation</dc:subject>
          <dc:subject>oa ), offering</dc:subject>
          <dc:subject>harsh external microenvironments</dc:subject>
          <dc:subject>encapsulated superoxide dismutase</dc:subject>
          <dc:subject>responsive polymeric nanoreactors</dc:subject>
          <dc:subject>assembled vesicular architectures</dc:subject>
          <dc:subject>synergistic ros elimination</dc:subject>
          <dc:subject>2 &lt;/ sub</dc:subject>
          <dc:subject>assembled nanoreactors</dc:subject>
          <dc:subject>upon stimulation</dc:subject>
          <dc:subject>thereby triggering</dc:subject>
          <dc:subject>therapeutic outcomes</dc:subject>
          <dc:subject>substantially enhanced</dc:subject>
          <dc:subject>severely restricts</dc:subject>
          <dc:subject>scavenging performance</dc:subject>
          <dc:subject>scavenging enzyme</dc:subject>
          <dc:subject>related diseases</dc:subject>
          <dc:subject>rational design</dc:subject>
          <dc:subject>potential applications</dc:subject>
          <dc:subject>membrane permeability</dc:subject>
          <dc:subject>intrinsic stability</dc:subject>
          <dc:subject>highly susceptible</dc:subject>
          <dc:subject>catalytic activity</dc:subject>
          <dc:subject>cat catalyzes</dc:subject>
          <dc:subject>cat ).</dc:subject>
          <dc:subject>biocompatible platform</dc:subject>
          <dc:description>Enzyme-enabled biocatalysis demonstrates potent reactive
oxygen
species (ROS) scavenging performance for oxidative stress mitigation.
However, the intrinsic stability and catalytic activity of enzymes
are highly susceptible to harsh external microenvironments, which
severely restricts their potential applications. Herein, we report
the rational design of oxidation-responsive polymeric nanoreactors
through encapsulating enzymes within self-assembled vesicular architectures,
namely, polymersomes. Upon stimulation with ROS, the membrane permeability
of the polymersomes is substantially enhanced, thereby triggering
the activation of the encapsulated superoxide dismutase (SOD) and
catalase (CAT). Specifically, SOD efficiently scavenges superoxide
anions (•O&lt;sub&gt;2&lt;/sub&gt;&lt;sup&gt;–&lt;/sup&gt;) while CAT catalyzes
the decomposition of H&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;2&lt;/sub&gt;, enabling sequential
and synergistic ROS elimination. Both in vitro and in vivo assessments
demonstrate that these oxidation-responsive polymersome nanoreactors
significantly improve the therapeutic outcomes for osteoarthritis
(OA), offering a versatile and biocompatible platform for the treatment
of inflammation-related diseases.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.biomac.6c00697.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Engineering_Oxidation-Responsive_Polymeric_Self-Assembled_Nanoreactors_for_Enhanced_Reactive_Oxygen_Species_ROS_Scavenging/32747297</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:figshare.com:article/32747249</identifier>
        <datestamp>2026-06-20T00:00:00Z</datestamp>
        <setSpec>category_1</setSpec>
        <setSpec>category_4</setSpec>
        <setSpec>category_8</setSpec>
        <setSpec>category_13</setSpec>
        <setSpec>category_14</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>category_69</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Dynamics
and Mechanism of Photoenzymatic Dehalogenation
Reactions through Electron-Transfer Bifurcation</dc:title>
          <dc:creator>Xinxin Zhang (309944)</dc:creator>
          <dc:creator>Yi Sun (118759)</dc:creator>
          <dc:creator>Nichang Xue (19823004)</dc:creator>
          <dc:creator>Zhibo Yao (3630670)</dc:creator>
          <dc:creator>Jun Li (6494)</dc:creator>
          <dc:creator>Bohan Li (4869760)</dc:creator>
          <dc:creator>Xiaodan Cao (694869)</dc:creator>
          <dc:creator>Lijuan Wang (143209)</dc:creator>
          <dc:creator>Xiankun Li (5726729)</dc:creator>
          <dc:creator>Dongping Zhong (1310607)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Microbiology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Inorganic Chemistry</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>substituent position effects</dc:subject>
          <dc:subject>substituent position effect</dc:subject>
          <dc:subject>neighboring carbonyl group</dc:subject>
          <dc:subject>transfer bifurcation light</dc:subject>
          <dc:subject>generate acyl radicals</dc:subject>
          <dc:subject>direct hopping results</dc:subject>
          <dc:subject>direct hopping leads</dc:subject>
          <dc:subject>photoinduced electron transfer</dc:subject>
          <dc:subject>c – x</dc:subject>
          <dc:subject>photoenzymatic dehalogenation reactions</dc:subject>
          <dc:subject>direct tunneling et</dc:subject>
          <dc:subject>direct hopping</dc:subject>
          <dc:subject>c –</dc:subject>
          <dc:subject>direct tunneling</dc:subject>
          <dc:subject>either transfer</dc:subject>
          <dc:subject>photoenzymatic catalysis</dc:subject>
          <dc:subject>former leads</dc:subject>
          <dc:subject>dehalogenative reactions</dc:subject>
          <dc:subject>acyl halides</dc:subject>
          <dc:subject>dehalogenation reactions</dc:subject>
          <dc:subject>two pathways</dc:subject>
          <dc:subject>substrates bifurcates</dc:subject>
          <dc:subject>substrate orientation</dc:subject>
          <dc:subject>structural configuration</dc:subject>
          <dc:subject>reaction channel</dc:subject>
          <dc:subject>promising route</dc:subject>
          <dc:subject>pathways lead</dc:subject>
          <dc:subject>molecular simulations</dc:subject>
          <dc:subject>mechanistic studies</dc:subject>
          <dc:subject>latter forms</dc:subject>
          <dc:subject>largely limited</dc:subject>
          <dc:subject>lactate monooxygenase</dc:subject>
          <dc:subject>halogenated substrates</dc:subject>
          <dc:subject>halogenated ones</dc:subject>
          <dc:subject>flavoenzymes offers</dc:subject>
          <dc:subject>flavin semiquinone</dc:subject>
          <dc:subject>finding contrasts</dc:subject>
          <dc:subject>engineering flavoenzymes</dc:subject>
          <dc:subject>engineer flavoenzymes</dc:subject>
          <dc:subject>docking indicate</dc:subject>
          <dc:subject>current applications</dc:subject>
          <dc:subject>conventional understandings</dc:subject>
          <dc:subject>broader applications</dc:subject>
          <dc:subject>bonding networks</dc:subject>
          <dc:description>Light-induced
dehalogenation by flavoenzymes offers a promising
route to generate acyl radicals in photoenzymatic catalysis, but current
applications are largely limited to α-acyl halides. Mechanistic
studies are needed to understand this substituent position effect
to engineer flavoenzymes for broader applications. Here, we elucidate
the ultrafast dynamics of photoinduced electron transfer (ET) and
dehalogenation reactions in lactate monooxygenase (LMO) with α-,
β-, and γ-acyl halides. We found that the ET from the
excited reduced flavin cofactor (FMNH&lt;sup&gt;–*&lt;/sup&gt;) to the
substrates bifurcates into two pathways: direct tunneling to the C–X
(X = Cl, Br) bond or direct hopping to the neighboring carbonyl group.
The former leads to instantaneous dehalogenation; the latter forms
an anionic (C–O&lt;sup&gt;–&lt;/sup&gt;) radical that can either
transfer the electron to the halogen for dehalogenation or undergo
nonproductive back ET (BET). This finding contrasts with conventional
understandings that the direct tunneling ET to the halogen atom is
the only reaction channel. For α-halogenated substrates, both
pathways lead to a dehalogenation reaction. For β-halogenated
ones, direct tunneling causes effective dehalogenation and direct
hopping leads to a futile BET. For γ-halogenated ones, direct
tunneling is negligible and direct hopping results in BET. After dehalogenation,
the resulting acyl radical bonds with flavin semiquinone (FMNH&lt;sup&gt;•&lt;/sup&gt;) to form the photoproduct. Molecular simulations and
docking indicate that these outcomes are governed by substrate orientation,
structural configuration, and hydrogen-bonding networks. This bifurcating
ET mechanism explains the substituent position effects on reactivity
and provides a framework for engineering flavoenzymes for dehalogenative
reactions.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/jacs.6c03130.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Dynamics_and_Mechanism_of_Photoenzymatic_Dehalogenation_Reactions_through_Electron-Transfer_Bifurcation/32747249</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:figshare.com:article/32747246</identifier>
        <datestamp>2026-06-20T00:00:00Z</datestamp>
        <setSpec>category_4</setSpec>
        <setSpec>category_13</setSpec>
        <setSpec>category_14</setSpec>
        <setSpec>category_133</setSpec>
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        <setSpec>category_272</setSpec>
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          <dc:title>Transcriptional
Knockdown of GGPPS Increases Cellular
FPP Availability and Heterologous Sesquiterpene Production in the
Green Microalga Chlamydomonas reinhardtii</dc:title>
          <dc:creator>Merve Saudhof (24247676)</dc:creator>
          <dc:creator>Marie Beretz (24247679)</dc:creator>
          <dc:creator>Lina Inkmann (24247682)</dc:creator>
          <dc:creator>Yi Tong Cheah (24247685)</dc:creator>
          <dc:creator>Marion Ringel (9745072)</dc:creator>
          <dc:creator>Wolfgang Hübner (5721812)</dc:creator>
          <dc:creator>Thomas Brück (5320922)</dc:creator>
          <dc:creator>Olaf Kruse (190548)</dc:creator>
          <dc:creator>Thomas Baier (5721809)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>various sesquiterpene synthases</dc:subject>
          <dc:subject>nootkatensis valencene synthase</dc:subject>
          <dc:subject>heterologous terpenoid bioproduction</dc:subject>
          <dc:subject>geranylgeranyl pyrophosphate synthase</dc:subject>
          <dc:subject>heterologous sesquiterpene production</dc:subject>
          <dc:subject>stable knockdown mutants</dc:subject>
          <dc:subject>specific valencene production</dc:subject>
          <dc:subject>ggpps promoter region</dc:subject>
          <dc:subject>essential gene expression</dc:subject>
          <dc:subject>increased isopentenyl diphosphate</dc:subject>
          <dc:subject>patchoulol production</dc:subject>
          <dc:subject>transcriptional knockdown</dc:subject>
          <dc:subject>specific bisabolene</dc:subject>
          <dc:subject>dimethylallyl diphosphate</dc:subject>
          <dc:subject>using cas9</dc:subject>
          <dc:subject>transcriptional silencing</dc:subject>
          <dc:subject>transcriptional complex</dc:subject>
          <dc:subject>total chlorophyll</dc:subject>
          <dc:subject>successfully disturbed</dc:subject>
          <dc:subject>study describes</dc:subject>
          <dc:subject>selection marker</dc:subject>
          <dc:subject>results demonstrate</dc:subject>
          <dc:subject>precursor pools</dc:subject>
          <dc:subject>mediated integration</dc:subject>
          <dc:subject>dependent tuning</dc:subject>
          <dc:subject>dependent reductions</dc:subject>
          <dc:subject>chlamydomonas reinhardtii</dc:subject>
          <dc:subject>carotenoid contents</dc:subject>
          <dc:subject>based approach</dc:subject>
          <dc:description>This study describes a genome-editing-based
approach for transcriptional
silencing of geranylgeranyl pyrophosphate synthase (GGPPS) expression
in Chlamydomonas reinhardtii to investigate
cellular farnesyl pyrophosphate (FPP) availability and to redirect
isoprenoid precursors toward sesquiterpene biosynthesis. Using Cas9-mediated
integration of a selection marker into the GGPPS promoter region,
the assembly of the transcriptional complex was successfully disturbed.
Two independent editing events resulted in stable knockdown mutants
with position-dependent reductions in GGPPS expression, and the stronger
knockdown caused decreases in total chlorophyll and carotenoid contents
and increased isopentenyl diphosphate (IPP) and dimethylallyl diphosphate
(DMAPP) precursor pools in the chloroplast without impairing cell
viability. Overexpression of various sesquiterpene synthases was used
to assess the impact on heterologous terpenoid bioproduction, and
specific bisabolene and patchoulol production were increased by more
than 2-fold. Expression of the C. nootkatensis valencene synthase in combination with a heterologous farnesyl pyrophosphate
synthase resulted in a 10.9-fold increase in specific valencene production.
These results demonstrate that transcriptional interference via targeted
DNA integration enables robust, position-dependent tuning of essential
gene expression.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acssynbio.6c00033.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Transcriptional_Knockdown_of_GGPPS_Increases_Cellular_FPP_Availability_and_Heterologous_Sesquiterpene_Production_in_the_Green_Microalga_Chlamydomonas_reinhardtii/32747246</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
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        <identifier>oai:figshare.com:article/32747243</identifier>
        <datestamp>2026-06-20T00:00:00Z</datestamp>
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      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Synthesis, Characterization,
and Application of a
Novel Polystyrene-Supported Brønsted-Acidic Ionic Liquid as an
Efficient and Reusable Catalyst in Microwave-Assisted Groebke–Blackburn–Bienaymé
Multicomponent Reaction</dc:title>
          <dc:creator>Nicolas
S. Anjos (24247664)</dc:creator>
          <dc:creator>Daniel P. Marques (24247667)</dc:creator>
          <dc:creator>Sandy J. Coutinho (24247670)</dc:creator>
          <dc:creator>Fabiana S. F. Borges (24247673)</dc:creator>
          <dc:creator>Ana Santos (310027)</dc:creator>
          <dc:creator>Peter Licence (1635556)</dc:creator>
          <dc:creator>Luiz S. Longo (2496379)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Microbiology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>six consecutive cycles</dc:subject>
          <dc:subject>ray photoelectron spectroscopy</dc:subject>
          <dc:subject>im ][ otf</dc:subject>
          <dc:subject>acidic ionic liquid</dc:subject>
          <dc:subject>h )&lt; sup</dc:subject>
          <dc:subject>4 &lt;/ sup</dc:subject>
          <dc:subject>recyclable heterogeneous catalyst</dc:subject>
          <dc:subject>heterogeneous catalyst could</dc:subject>
          <dc:subject>gbb model reactions</dc:subject>
          <dc:subject>g ., imidazo</dc:subject>
          <dc:subject>150 ° c</dc:subject>
          <dc:subject>4 &lt;/ sub</dc:subject>
          <dc:subject>3 &lt;/ sub</dc:subject>
          <dc:subject>1 h</dc:subject>
          <dc:subject>b &lt;/</dc:subject>
          <dc:subject>sustainable catalyst</dc:subject>
          <dc:subject>reusable catalyst</dc:subject>
          <dc:subject>xps ).</dc:subject>
          <dc:subject>thermogravimetric analysis</dc:subject>
          <dc:subject>supported brønsted</dc:subject>
          <dc:subject>starting aminoazole</dc:subject>
          <dc:subject>significant loss</dc:subject>
          <dc:subject>sem ),</dc:subject>
          <dc:subject>results demonstrated</dc:subject>
          <dc:subject>reaction cycle</dc:subject>
          <dc:subject>ps -[(</dc:subject>
          <dc:subject>optimized conditions</dc:subject>
          <dc:subject>multicomponent reaction</dc:subject>
          <dc:subject>merrifield resin</dc:subject>
          <dc:subject>medicinal chemistry</dc:subject>
          <dc:subject>fused heterocycles</dc:subject>
          <dc:subject>fully characterized</dc:subject>
          <dc:subject>excellent yields</dc:subject>
          <dc:subject>easily recovered</dc:subject>
          <dc:subject>diverse library</dc:subject>
          <dc:subject>corresponding products</dc:subject>
          <dc:subject>catalytic activity</dc:subject>
          <dc:subject>benzo [&lt;</dc:subject>
          <dc:subject>based heterocycles</dc:subject>
          <dc:subject>&gt;] thiazoles</dc:subject>
          <dc:description>Herein, we report a novel synthesis of the polymer-supported
Brønsted-acidic
ionic liquidPS-[(SO&lt;sub&gt;3&lt;/sub&gt;H)&lt;sup&gt;4&lt;/sup&gt;C&lt;sub&gt;4&lt;/sub&gt;Im][OTf]as an efficient and recyclable heterogeneous catalyst
for the Groebke–Blackburn–Bienaymé (GBB) multicomponent
reaction. The catalyst was synthesized from Merrifield resin (polystyrene)
and fully characterized by thermogravimetric analysis (TGA), Fourier
transform infrared spectroscopy (FTIR), scanning electron microscopy
(SEM), and X-ray photoelectron spectroscopy (XPS). Its catalytic activity
was then evaluated in GBB model reactions, with the optimal conditions
determined using 50 mg mmol&lt;sup&gt;–1&lt;/sup&gt; of PS-[(SO&lt;sub&gt;3&lt;/sub&gt;H)&lt;sup&gt;4&lt;/sup&gt;C&lt;sub&gt;4&lt;/sub&gt;Im][OTf] in ethanol as solvent under microwave
heating at 150 °C for 1 h. A diverse library of imidazo-fused
heterocycles (e.g., imidazo[1,2-&lt;i&gt;a&lt;/i&gt;]pyridines, imidazo[2,1-&lt;i&gt;b&lt;/i&gt;]thiazoles, and benzo[&lt;i&gt;d&lt;/i&gt;]imidazo[2,1-&lt;i&gt;b&lt;/i&gt;]thiazoles) was synthesized using the optimized conditions
and the corresponding products were obtained in moderate to excellent
yields (34–91%), depending on the starting aminoazole. Furthermore,
the heterogeneous catalyst could be easily recovered by filtration
after each reaction cycle and reused for up to six consecutive cycles
with no significant loss of integrity as well as catalytic activity
(average yield 86 ± 3.5%). These results demonstrated the potential
of this polymer-supported Brønsted-acidic ionic liquid as a sustainable
catalyst for acid-catalyzed multicomponent reactions applied to the
synthesis of nitrogen-based heterocycles of interest in Medicinal
Chemistry.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acsomega.6c03507.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Synthesis_Characterization_and_Application_of_a_Novel_Polystyrene-Supported_Br_nsted-Acidic_Ionic_Liquid_as_an_Efficient_and_Reusable_Catalyst_in_Microwave-Assisted_Groebke_Blackburn_Bienayme_Multicomponent_Reaction/32747243</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/32747222</identifier>
        <datestamp>2026-06-20T00:00:00Z</datestamp>
        <setSpec>category_4</setSpec>
        <setSpec>category_7</setSpec>
        <setSpec>category_16</setSpec>
        <setSpec>category_19</setSpec>
        <setSpec>category_46</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>category_135</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_06_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Cell-Resolved
Mass Spectrometry Imaging Integrated
with Isotope Tracing Elucidates Macrophage Polarization-Specific Metabolic
Reprogramming</dc:title>
          <dc:creator>Min Li (12799)</dc:creator>
          <dc:creator>Junjie Ge (1489708)</dc:creator>
          <dc:creator>Bangzhen Ma (16879476)</dc:creator>
          <dc:creator>Shiping Chen (566714)</dc:creator>
          <dc:creator>Hongya Zhao (34435)</dc:creator>
          <dc:creator>Mengxuan Li (8558715)</dc:creator>
          <dc:creator>Xiutong Zhang (23663827)</dc:creator>
          <dc:creator>Junwen Shi (311261)</dc:creator>
          <dc:creator>Xiao Wang (19312)</dc:creator>
          <dc:creator>Panpan Chen (307628)</dc:creator>
          <dc:creator>Quanbo Wang (1624480)</dc:creator>
          <dc:creator>Chenglong Sun (4059043)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Physiology</dc:subject>
          <dc:subject>Pharmacology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>stable isotope tracing</dc:subject>
          <dc:subject>open new avenues</dc:subject>
          <dc:subject>findings collectively demonstrate</dc:subject>
          <dc:subject>exert dual functions</dc:subject>
          <dc:subject>complex biological environments</dc:subject>
          <dc:subject>assisted laser desorption</dc:subject>
          <dc:subject>pi ), phosphatidylserine</dc:subject>
          <dc:subject>pe ), phosphatidylinositol</dc:subject>
          <dc:subject>pa ), compared</dc:subject>
          <dc:subject>promoting m2 phenotypes</dc:subject>
          <dc:subject>newly labeled phospholipids</dc:subject>
          <dc:subject>maldi )- msi</dc:subject>
          <dc:subject>resolved metabolic crosstalk</dc:subject>
          <dc:subject>phospholipid metabolic pathway</dc:subject>
          <dc:subject>mediated antitumor immunity</dc:subject>
          <dc:subject>ps ),</dc:subject>
          <dc:subject>antitumor immunity</dc:subject>
          <dc:subject>resolved matrix</dc:subject>
          <dc:subject>phospholipid metabolism</dc:subject>
          <dc:subject>metabolic tracers</dc:subject>
          <dc:subject>metabolic states</dc:subject>
          <dc:subject>metabolic features</dc:subject>
          <dc:subject>m2 macrophages</dc:subject>
          <dc:subject>antitumor function</dc:subject>
          <dc:subject>antitumor efficacy</dc:subject>
          <dc:subject>tumoricidal m1</dc:subject>
          <dc:subject>sustaining macrophage</dc:subject>
          <dc:subject>situ &lt;/</dc:subject>
          <dc:subject>significantly impaired</dc:subject>
          <dc:subject>pivotal regulators</dc:subject>
          <dc:subject>phosphatidic acid</dc:subject>
          <dc:subject>pharmacological inhibition</dc:subject>
          <dc:subject>key enzyme</dc:subject>
          <dc:subject>integrated approach</dc:subject>
          <dc:subject>including phosphatidylethanolamine</dc:subject>
          <dc:subject>functional importance</dc:subject>
          <dc:subject>closely linked</dc:subject>
          <dc:description>Tumor-associated macrophages, pivotal regulators of antitumor
immunity,
exert dual functions through their tumoricidal M1 and tumor-promoting
M2 phenotypes, which are closely linked to their metabolic states.
While conventional mass spectrometry imaging (MSI) can characterize
the metabolic features of macrophages, it fails to capture dynamic
metabolic activity and real-time substrate utilization within individual
cells. In this research, we present an integrated approach that couples
cell-resolved matrix-assisted laser desorption/ionization (MALDI)-MSI
with stable isotope tracing to visualize dynamic metabolic heterogeneity
across individual macrophage phenotypes &lt;i&gt;in situ&lt;/i&gt;.
Using isotopically labeled fatty acids as metabolic tracers, we revealed
that M1 macrophages exhibit significantly enhanced synthesis of phospholipids,
including phosphatidylethanolamine (PE), phosphatidylinositol (PI),
phosphatidylserine (PS), and phosphatidic acid (PA), compared to M2
macrophages, highlighting a polarization-specific metabolic signature
linked to their antitumor function. Moreover, we observed that coculture
with tumor cells markedly downregulated the levels of newly labeled
phospholipids in M1 macrophages. Critically, the pharmacological inhibition
of cPLA2, a key enzyme in the phospholipid metabolic pathway, significantly
impaired the antitumor efficacy of M1 macrophages. These findings
collectively demonstrate the functional importance of phospholipid
metabolism in sustaining macrophage-mediated antitumor immunity. We
envision that this spatially resolved metabolic tracing strategy will
open new avenues for investigating cell-resolved metabolic crosstalk
in complex biological environments.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.analchem.6c02192.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Cell-Resolved_Mass_Spectrometry_Imaging_Integrated_with_Isotope_Tracing_Elucidates_Macrophage_Polarization-Specific_Metabolic_Reprogramming/32747222</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/32747219</identifier>
        <datestamp>2026-06-20T00:00:00Z</datestamp>
        <setSpec>category_1</setSpec>
        <setSpec>category_4</setSpec>
        <setSpec>category_7</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_132</setSpec>
        <setSpec>category_146</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>category_931</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_06_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>NiFe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;/Carbon Black Nanocomposite-Based
Strip Sensor for the Selective Electrochemical Recognition of Bisphenol
A and 2‑Nitrophenol</dc:title>
          <dc:creator>Suman Mondal (1777675)</dc:creator>
          <dc:creator>Jasleen K. Bhatia (24247661)</dc:creator>
          <dc:creator>Ayan Roy (767372)</dc:creator>
          <dc:creator>Sourav Ghosh (184217)</dc:creator>
          <dc:creator>Shirsendu Mitra (3603146)</dc:creator>
          <dc:creator>Pradip K. Maji (2390551)</dc:creator>
          <dc:creator>Kalisadhan Mukherjee (3617099)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>techniques remain scarce</dc:subject>
          <dc:subject>selective electrochemical recognition</dc:subject>
          <dc:subject>predict unknown concentrations</dc:subject>
          <dc:subject>emerging contaminants responsible</dc:subject>
          <dc:subject>enhanced sensing performance</dc:subject>
          <dc:subject>cb – nf</dc:subject>
          <dc:subject>phase formation behavior</dc:subject>
          <dc:subject>although onsite detection</dc:subject>
          <dc:subject>based working electrode</dc:subject>
          <dc:subject>sensing responses obtained</dc:subject>
          <dc:subject>&gt;- nitrophenol (&lt;</dc:subject>
          <dc:subject>portable strip electrode</dc:subject>
          <dc:subject>based strip sensor</dc:subject>
          <dc:subject>4 &lt;/ sub</dc:subject>
          <dc:subject>2 &lt;/ sub</dc:subject>
          <dc:subject>sensing behavior</dc:subject>
          <dc:subject>strip sensor</dc:subject>
          <dc:subject>conductive cb</dc:subject>
          <dc:subject>obtained repeatability</dc:subject>
          <dc:subject>simultaneous detection</dc:subject>
          <dc:subject>detection limits</dc:subject>
          <dc:subject>electrode system</dc:subject>
          <dc:subject>developed electrode</dc:subject>
          <dc:subject>&gt;- np</dc:subject>
          <dc:subject>widely used</dc:subject>
          <dc:subject>term stability</dc:subject>
          <dc:subject>structural features</dc:subject>
          <dc:subject>soil quality</dc:subject>
          <dc:subject>signal transduction</dc:subject>
          <dc:subject>resin industries</dc:subject>
          <dc:subject>present work</dc:subject>
          <dc:subject>phenolic pollutants</dc:subject>
          <dc:subject>multiple analytes</dc:subject>
          <dc:subject>intensive methodologies</dc:subject>
          <dc:subject>highly important</dc:subject>
          <dc:subject>held applications</dc:subject>
          <dc:subject>conventional three</dc:subject>
          <dc:subject>commercial viability</dc:subject>
          <dc:subject>active nfo</dc:subject>
          <dc:subject>53 μm</dc:subject>
          <dc:subject>16 μm</dc:subject>
          <dc:subject>1 μm</dc:subject>
          <dc:description>Bisphenol-A (BPA) and &lt;i&gt;ortho&lt;/i&gt;-nitrophenol
(&lt;i&gt;o&lt;/i&gt;-NP) are widely used in dye, rubber, plastic, and
resin
industries and recognized as emerging contaminants responsible for
the degradation of water and soil quality. Although onsite detection
of these phenolic pollutants is highly important, such techniques
remain scarce; consequently, samples are predominantly analyzed using
laboratory-intensive methodologies. In the present work, we report
the development of a simple, low-cost, and highly sensitive carbon
black–NiFe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt; (CB–NF) nanocomposite-based
working electrode for a conventional three-electrode system and a
portable strip sensor capable of detecting both BPA and &lt;i&gt;o&lt;/i&gt;-NP at different applied threshold voltages, with detection limits
of 0.02 μM for BPA and 0.1 μM for &lt;i&gt;o&lt;/i&gt;-NP
for a conventional three-electrode and 0.53 μM for BPA and 2.16
μM for &lt;i&gt;o&lt;/i&gt;-NP for the portable strip electrode,
respectively. The prepared CB–NF composite has been characterized
in terms of their phase formation behavior and structural features
to understand the sensing behavior. The enhanced sensing performance
of CB–NF is attributed to the interaction between redox-active
NFO and conductive CB, which facilitates efficient analyte reception
and signal transduction. The concentration-dependent sensing response
obtained at the respective threshold voltages demonstrates linear
variation enabling the sensor to predict unknown concentrations of &lt;i&gt;o&lt;/i&gt;-NP and BPA. The obtained repeatability, long-term stability,
and selectivity of the developed electrode are appropriate for commercial
viability. The sensing responses obtained by the strip sensor for
detecting BPA and &lt;i&gt;o&lt;/i&gt;-NP are further classified using
machine learning algorithms for making it suitable for hand-held applications.
This approach offers valuable insights toward the development of a
sensitive, low-cost dual electrochemical sensing platform for the
simultaneous detection of multiple analytes.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acsanm.6c01222.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/NiFe_sub_2_sub_O_sub_4_sub_Carbon_Black_Nanocomposite-Based_Strip_Sensor_for_the_Selective_Electrochemical_Recognition_of_Bisphenol_A_and_2_Nitrophenol/32747219</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/32747215</identifier>
        <datestamp>2026-06-20T00:00:00Z</datestamp>
        <setSpec>category_1</setSpec>
        <setSpec>category_4</setSpec>
        <setSpec>category_7</setSpec>
        <setSpec>category_12</setSpec>
        <setSpec>category_13</setSpec>
        <setSpec>category_14</setSpec>
        <setSpec>category_62</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>category_146</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>category_915</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_06_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Beyond Color:
Hybrid Vibrational–Electronic
Broadband Coherent Anti-Stokes Raman Scattering for Molecularly Informed
Digital Pathology</dc:title>
          <dc:creator>Paul Ebersbach (4420426)</dc:creator>
          <dc:creator>Jayakrupakar Nallala (337419)</dc:creator>
          <dc:creator>Neil Shepherd (411512)</dc:creator>
          <dc:creator>Nick Stone (9669657)</dc:creator>
          <dc:creator>Julian Moger (807263)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Marine Biology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>unlock archival repositories</dc:subject>
          <dc:subject>resolves subnuclear domains</dc:subject>
          <dc:subject>readable spectral features</dc:subject>
          <dc:subject>nonpigmented contributions attributable</dc:subject>
          <dc:subject>mixing contributions arising</dc:subject>
          <dc:subject>infrared microscopy due</dc:subject>
          <dc:subject>feasibility demonstration rather</dc:subject>
          <dc:subject>broadband coherent anti</dc:subject>
          <dc:subject>breast tissue microarrays</dc:subject>
          <dc:subject>associated resonant features</dc:subject>
          <dc:subject>associated nuclear shrinkage</dc:subject>
          <dc:subject>resulting spectra encode</dc:subject>
          <dc:subject>invasive lobular carcinoma</dc:subject>
          <dc:subject>stokes raman scattering</dc:subject>
          <dc:subject>conventional spontaneous raman</dc:subject>
          <dc:subject>quantitative molecular information</dc:subject>
          <dc:subject>molecular phenotyping</dc:subject>
          <dc:subject>like spectra</dc:subject>
          <dc:subject>ductal carcinoma</dc:subject>
          <dc:subject>retrieved raman</dc:subject>
          <dc:subject>coupled raman</dc:subject>
          <dc:subject>wise wavenumber</dc:subject>
          <dc:subject>substrate interference</dc:subject>
          <dc:subject>shift mapping</dc:subject>
          <dc:subject>separate hemalum</dc:subject>
          <dc:subject>processing reagents</dc:subject>
          <dc:subject>modulated four</dc:subject>
          <dc:subject>level discrimination</dc:subject>
          <dc:subject>idc ),</dc:subject>
          <dc:subject>hybrid response</dc:subject>
          <dc:subject>highlights necrosis</dc:subject>
          <dc:subject>enabled histopathology</dc:subject>
          <dc:subject>e slides</dc:subject>
          <dc:subject>clinical validation</dc:subject>
          <dc:subject>beyond color</dc:subject>
          <dc:subject>active vibrations</dc:subject>
          <dc:description>We demonstrate that broadband coherent anti-Stokes Raman
scattering
(BCARS) on hematoxylin and eosin (H&amp;E)-stained tissue generates
a hybrid vibrational–electronic spectroscopic contrast arising
from coupled Raman-active vibrations and chromatin–hematoxylin
electronic resonances. This hybrid response, inaccessible to conventional
spontaneous Raman or infrared microscopy due to fluorescence and substrate
interference, transforms routine histology slides into sources of
quantitative molecular information. The resulting spectra encode both
Raman-active vibrations and resonance-modulated four-wave-mixing contributions
arising from hemalum–chromatin interactions, thereby linking
histological color contrast to quantitative, machine-readable spectral
features. In breast tissue microarrays, we show (i) pixel-wise wavenumber-shift
mapping that resolves subnuclear domains and highlights necrosis-associated
nuclear shrinkage; (ii) phase-retrieved Raman-like spectra that separate
hemalum-associated resonant features from nonpigmented contributions
attributable to processing reagents; and (iii) nucleus-level discrimination
of ductal carcinoma in situ (DCIS), invasive ductal carcinoma (IDC),
and invasive lobular carcinoma (ILC) using a PCA–LDA workflow.
This study is a feasibility demonstration rather than a clinical validation,
but establishes electronically enhanced BCARS on routine H&amp;E slides
as a route to unlock archival repositories for molecular phenotyping
and AI-enabled histopathology.</dc:description>
          <dc:date>2026-06-20T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.analchem.6c01408.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Beyond_Color_Hybrid_Vibrational_Electronic_Broadband_Coherent_Anti-Stokes_Raman_Scattering_for_Molecularly_Informed_Digital_Pathology/32747215</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/32747167</identifier>
        <datestamp>2026-06-19T00:00:00Z</datestamp>
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        <setSpec>category_39</setSpec>
        <setSpec>category_46</setSpec>
        <setSpec>category_272</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>category_915</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_06_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Neutron Scattering
Reveals a Dynamic Surface Equilibrium
on l‑α-Lecithin Functionalized CsPbBr&lt;sub&gt;3&lt;/sub&gt; Nanocrystals</dc:title>
          <dc:creator>Jan Wahl (12866755)</dc:creator>
          <dc:creator>Ivan Zaluzhnyy (1599025)</dc:creator>
          <dc:creator>Sylvain Prevost (1270212)</dc:creator>
          <dc:creator>Lionel Porcar (1268217)</dc:creator>
          <dc:creator>Christian Beck (1270851)</dc:creator>
          <dc:creator>Olga Matsarskaia (2898278)</dc:creator>
          <dc:creator>Tobias Unruh (1464085)</dc:creator>
          <dc:creator>Ezzeldin Metwalli (1236036)</dc:creator>
          <dc:creator>Frank Schreiber (1314027)</dc:creator>
          <dc:creator>Marcus Scheele (1467817)</dc:creator>
          <dc:creator>Tilo Seydel (1360860)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>nuclear magnetic resonance</dc:subject>
          <dc:subject>neutron scattering reveals</dc:subject>
          <dc:subject>liquid toluene suspensions</dc:subject>
          <dc:subject>complementary scattering techniques</dc:subject>
          <dc:subject>lecithin functionalized cspbbr</dc:subject>
          <dc:subject>lecithin ligand relative</dc:subject>
          <dc:subject>dynamic surface equilibrium</dc:subject>
          <dc:subject>ligand surface density</dc:subject>
          <dc:subject>3 &lt;/ sub</dc:subject>
          <dc:subject>coexisting ligand micelles</dc:subject>
          <dc:subject>l ‑ α</dc:subject>
          <dc:subject>lecithin ligands</dc:subject>
          <dc:subject>dynamic nature</dc:subject>
          <dc:subject>zwitterionic ligand</dc:subject>
          <dc:subject>surface chemistry</dc:subject>
          <dc:subject>nc surface</dc:subject>
          <dc:subject>ligand binding</dc:subject>
          <dc:subject>solution structure</dc:subject>
          <dc:subject>results highlight</dc:subject>
          <dc:subject>mass diffusion</dc:subject>
          <dc:subject>lateral diffusion</dc:subject>
          <dc:subject>extraordinary binding</dc:subject>
          <dc:subject>distinct self</dc:subject>
          <dc:subject>diffusive dynamics</dc:subject>
          <dc:subject>diffusion coefficients</dc:subject>
          <dc:description>Cesium lead bromide perovskite nanocrystals
(NCs) covered
with
lecithin ligands in liquid toluene suspensions were investigated with
a range of complementary scattering techniques and nuclear magnetic
resonance to reveal their surface chemistry, solution structure, and
diffusive dynamics. Distinct self-diffusion coefficients were determined
and analyzed, namely the center-of-mass diffusion of the NCs and of
coexisting ligand micelles, as well as the lateral diffusion of the l-α-lecithin ligand relative to the NC surface and within
the micelles. We find a dynamic surface equilibrium, represented by
a tunable lateral diffusion coefficient dependent on the ligand surface
density. This phenomenon can be rationalized by the extraordinary
binding of this zwitterionic ligand and its ability to bind via two
different binding sites. These results highlight the dynamic nature
of the ligand binding to lead halide perovskite NCs.</dc:description>
          <dc:date>2026-06-19T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.nanolett.6c01347.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Neutron_Scattering_Reveals_a_Dynamic_Surface_Equilibrium_on_l_-Lecithin_Functionalized_CsPbBr_sub_3_sub_Nanocrystals/32747167</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/32747164</identifier>
        <datestamp>2026-06-19T00:00:00Z</datestamp>
        <setSpec>category_7</setSpec>
        <setSpec>category_14</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>category_146</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_811</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>category_915</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_6</setSpec>
        <setSpec>month_year_06_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Bayesian Optimization–Driven
Design of Hydrogen
Concentration in A‑Si/H Multilayers for Silicon Heterojunction
Solar Cells</dc:title>
          <dc:creator>Soma Kondo (24247654)</dc:creator>
          <dc:creator>Yasuyoshi Kurokawa (11998150)</dc:creator>
          <dc:creator>Kentaro Kutsukake (11476836)</dc:creator>
          <dc:creator>Takahiro Ozawa (2982960)</dc:creator>
          <dc:creator>Markus Wilde (2801602)</dc:creator>
          <dc:creator>Katsuyuki Fukutani (1503670)</dc:creator>
          <dc:creator>Shohei Fukaya (23167478)</dc:creator>
          <dc:creator>Noritaka Usami (11998153)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Mathematical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>physically meaningful parameter</dc:subject>
          <dc:subject>hydrogenated amorphous silicon</dc:subject>
          <dc:subject>combines physical insight</dc:subject>
          <dc:subject>box search method</dc:subject>
          <dc:subject>varying hydrogen concentration</dc:subject>
          <dc:subject>hydrogen concentration plays</dc:subject>
          <dc:subject>treating bayesian optimization</dc:subject>
          <dc:subject>h passivation structure</dc:subject>
          <dc:subject>hydrogen concentration</dc:subject>
          <dc:subject>bayesian optimization</dc:subject>
          <dc:subject>optimization approach</dc:subject>
          <dc:subject>wide range</dc:subject>
          <dc:subject>systematic investigation</dc:subject>
          <dc:subject>results demonstrate</dc:subject>
          <dc:subject>representative example</dc:subject>
          <dc:subject>proposed approach</dc:subject>
          <dc:subject>process parameters</dc:subject>
          <dc:subject>practical framework</dc:subject>
          <dc:subject>passivation layers</dc:subject>
          <dc:subject>optimize due</dc:subject>
          <dc:subject>large number</dc:subject>
          <dc:subject>interfacial passivation</dc:subject>
          <dc:subject>inherently challenging</dc:subject>
          <dc:subject>h multilayers</dc:subject>
          <dc:subject>first conducted</dc:subject>
          <dc:subject>film quality</dc:subject>
          <dc:subject>explicitly incorporated</dc:subject>
          <dc:subject>experimental design</dc:subject>
          <dc:subject>critical role</dc:subject>
          <dc:subject>coupled effects</dc:subject>
          <dc:subject>control variable</dc:subject>
          <dc:subject>comparative experiment</dc:subject>
          <dc:description>Multilayer thin-film passivation structures provide high
design
flexibility but are inherently challenging to optimize due to the
large number of process parameters and their coupled effects. In hydrogenated
amorphous silicon (i-a-Si/H) passivation layers, hydrogen concentration
plays a critical role in interfacial passivation and film quality,
making it a physically meaningful parameter for systematic investigation.
In this study, a three-layer i-a-Si/H passivation structure was examined
as a representative example to verify an optimization approach that
combines physical insight with Bayesian optimization. Rather than
treating Bayesian optimization as a black-box search method, hydrogen
concentration was explicitly incorporated into the experimental design.
A comparative experiment was first conducted on the interfacial layer
by varying hydrogen concentration over a wide range, followed by Bayesian
optimization of the upper layers using hydrogen flow rate as the control
variable. The results demonstrate that a graded hydrogen concentration
profile is effective for passivation and validate the proposed approach
as a practical framework for optimizing multilayer thin films.</dc:description>
          <dc:date>2026-06-19T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acsami.6c01687.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Bayesian_Optimization_Driven_Design_of_Hydrogen_Concentration_in_A_Si_H_Multilayers_for_Silicon_Heterojunction_Solar_Cells/32747164</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
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