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data-work-id="103472295"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/103472295/Transient_Triplet_Differential_TTD_Method_for_Background_Free_Photoacoustic_Imaging"><img alt="Research paper thumbnail of Transient Triplet Differential (TTD) Method for Background Free Photoacoustic Imaging" class="work-thumbnail" src="https://attachments.academia-assets.com/103471095/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/103472295/Transient_Triplet_Differential_TTD_Method_for_Background_Free_Photoacoustic_Imaging">Transient Triplet Differential (TTD) Method for Background Free Photoacoustic Imaging</a></div><div class="wp-workCard_item"><span>Scientific reports</span><span>, Jan 18, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">With the capability of presenting endogenous tissue contrast or exogenous contrast agents in deep...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">With the capability of presenting endogenous tissue contrast or exogenous contrast agents in deep biological samples at high spatial resolution, photoacoustic (PA) imaging has shown significant potential for many preclinical and clinical applications. However, due to strong background signals from various intrinsic chromophores in biological tissue, such as hemoglobin, achieving highly sensitive PA imaging of targeting probes labeled by contrast agents has remained a challenge. In this study, we introduce a novel technique called transient triplet differential (TTD) imaging which allows for substantial reduction of tissue background signals. TTD imaging detects directly the triplet state absorption, which is a special characteristic of phosphorescence capable dyes not normally present among intrinsic chromophores of biological tissue. Thus, these triplet state absorption PA images can facilitate &quot;true&quot; background free molecular imaging. We prepared a known phosphorescent d...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3af2a1ff5dfd92175f21d616085f0166" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":103471095,"asset_id":103472295,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/103471095/download_file?st=MTczMjQxNjEzNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="103472295"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="103472295"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103472295; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103472295]").text(description); $(".js-view-count[data-work-id=103472295]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103472295; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103472295']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 103472295, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3af2a1ff5dfd92175f21d616085f0166" } } $('.js-work-strip[data-work-id=103472295]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103472295,"title":"Transient Triplet Differential (TTD) Method for Background Free Photoacoustic Imaging","translated_title":"","metadata":{"abstract":"With the capability of presenting endogenous tissue contrast or exogenous contrast agents in deep biological samples at high spatial resolution, photoacoustic (PA) imaging has shown significant potential for many preclinical and clinical applications. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="100396416"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/100396416/One_Diohliensilonall_A_B_0_Reactmion_with_One_Immobile_Species"><img alt="Research paper thumbnail of One-Diohliensilonall A + B = 0 Reactmion with One Immobile Species" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/100396416/One_Diohliensilonall_A_B_0_Reactmion_with_One_Immobile_Species">One-Diohliensilonall A + B = 0 Reactmion with One Immobile Species</a></div><div class="wp-workCard_item"><span>MRS Proceedings</span><span>, 1992</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The elementary batch reaction A + B = 0 is re-examined via Monte-Carlo simulations on a one-dimen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The elementary batch reaction A + B = 0 is re-examined via Monte-Carlo simulations on a one-dimensional lattice. The relative mobility of the A and B species is varied in this model, but the initial densities of the A and B are always the same. We calculate the rates, the density profiles, and the particle distribution functions. The rate power law is conserved, i.e., the well-known 1/4 behavior is established for all mobilities. The rate coefficient is the only mobility-dependent quantity. The interparticle distribution functions show that the aggregation depends on the relative mobility but the segregation does not. This subtle difference has no effect on the asymptotic reaction order, which is close to 5.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100396416"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100396416"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100396416; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100396416]").text(description); $(".js-view-count[data-work-id=100396416]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100396416; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100396416']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100396416, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=100396416]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100396416,"title":"One-Diohliensilonall A + B = 0 Reactmion with One Immobile Species","translated_title":"","metadata":{"abstract":"The elementary batch reaction A + B = 0 is re-examined via Monte-Carlo simulations on a one-dimensional lattice. 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Koo Lee and R. Kopelman is far from satisfactory. Most ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="84250682"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84250682"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84250682; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84250682]").text(description); $(".js-view-count[data-work-id=84250682]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84250682; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84250682']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 84250682, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=84250682]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84250682,"title":"Targeted, Multifunctional Hydrogel Nanoparticles for Imaging and Treatment of Cancer","translated_title":"","metadata":{"abstract":"... umich.edu Chapter 11 Targeted, Multifunctional Hydrogel Nanoparticles for Imaging and Treatment of Cancer Yong-Eun Koo Lee and Raoul Kopelman Page 2. 226 Y.-E. 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Most ...","internal_url":"https://www.academia.edu/84250682/Targeted_Multifunctional_Hydrogel_Nanoparticles_for_Imaging_and_Treatment_of_Cancer","translated_internal_url":"","created_at":"2022-08-06T19:26:16.289-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32994550,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Targeted_Multifunctional_Hydrogel_Nanoparticles_for_Imaging_and_Treatment_of_Cancer","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":32994550,"first_name":"Raoul","middle_initials":null,"last_name":"Kopelman","page_name":"RaoulKopelman","domain_name":"independent","created_at":"2015-07-11T21:36:18.921-07:00","display_name":"Raoul Kopelman","url":"https://independent.academia.edu/RaoulKopelman"},"attachments":[],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":8950,"name":"Nanoparticle","url":"https://www.academia.edu/Documents/in/Nanoparticle"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="84250681"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/84250681/Nanoparticle_PEBBLE_sensors_in_live_cells"><img alt="Research paper thumbnail of Nanoparticle PEBBLE sensors in live cells" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/84250681/Nanoparticle_PEBBLE_sensors_in_live_cells">Nanoparticle PEBBLE sensors in live cells</a></div><div class="wp-workCard_item"><span>Methods in enzymology</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Live cell studies are of fundamental importance to the life sciences and their medical applicatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Live cell studies are of fundamental importance to the life sciences and their medical applications. Nanoparticle (NP)-based sensor platforms have many advantages as sensors for intracellular measurements, due to their flexible engineerability, noninvasive nature (due to their nano-size and nontoxic matrix), and, for some of the NPs, intrinsic optical properties. NP-based fluorescent sensors for intracellular measurements, so called PEBBLE sensors, have been developed for many important intracellular analytes and functions, including ions, small molecules, reactive oxygen species, physical properties, and enzyme activities, which are involved in many chemical, biochemical, and physical processes taking place inside the cell. PEBBLE sensors can be used with a standard microscope for simultaneous optical imaging of cellular structures and sensing of composition and function, just like investigations performed with molecular probes. 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Nanoparticle (NP)-based sensor platforms have many advantages as sensors for intracellular measurements, due to their flexible engineerability, noninvasive nature (due to their nano-size and nontoxic matrix), and, for some of the NPs, intrinsic optical properties. NP-based fluorescent sensors for intracellular measurements, so called PEBBLE sensors, have been developed for many important intracellular analytes and functions, including ions, small molecules, reactive oxygen species, physical properties, and enzyme activities, which are involved in many chemical, biochemical, and physical processes taking place inside the cell. PEBBLE sensors can be used with a standard microscope for simultaneous optical imaging of cellular structures and sensing of composition and function, just like investigations performed with molecular probes. 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PEBBLE sensors can be used with a standard microscope for simultaneous optical imaging of cellular structures and sensing of composition and function, just like investigations performed with molecular probes. 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These sensors incorporate cytochrome c&amp;#39;, a hemoprotein known to bind nitric oxide selectively. The cytochrome c&amp;#39; is labeled with a fluorescent reporter dye, and changes in this dye&amp;#39;s intensity or fluorescence lifetime are observed as the protein binds nitric oxide. The ratiometric sensors are composed of dye-labeled cytochrome c&amp;#39; attached to the optical fiber via colloidal gold, along with fluorescent microspheres as intensity standards. These ratiometric sensors exhibit linear response, have fast response times (&amp;lt; or = 0.25 s), and are completely reversible. The sensors are selective over numerous common interferents such as nitrite, nitrate, and oxygen species, and the limit of detection is 8 microM nitric oxide. The lifetime-based measurements are made using free, dye-labeled cytochrome c&amp;#39; in solution and have a limit of detection of 30 microM nitric oxide. The use of these two techniques has allowed measurement of intra- and extracellular macrophage nitric oxide. Employing the ratiometric fiber sensors gave a multicell culture average extracellular nitric oxide concentration of 210 +/- 90 microM for activated macrophages, while an average intracellular concentration of 160 +/- 10 microM was determined from the lifetime-based measurements of dye-labeled cytochrome c&amp;#39; in the macrophage cytosol. Microscopic adaptation of the lifetime-based methods described here would allow direct correlation of intracellular nitric oxide levels with specific cellular activities, such as phagocytosis.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="84250680"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84250680"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84250680; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84250680]").text(description); $(".js-view-count[data-work-id=84250680]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84250680; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84250680']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 84250680, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=84250680]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84250680,"title":"Ratiometric and Fluorescence-Lifetime-Based Biosensors Incorporating Cytochrome c ‘ and the Detection of Extra- and Intracellular Macrophage Nitric Oxide","translated_title":"","metadata":{"abstract":"Ratiometric and lifetime-based sensors have been designed for cellular detection of nitric oxide. These sensors incorporate cytochrome c\u0026amp;#39;, a hemoprotein known to bind nitric oxide selectively. The cytochrome c\u0026amp;#39; is labeled with a fluorescent reporter dye, and changes in this dye\u0026amp;#39;s intensity or fluorescence lifetime are observed as the protein binds nitric oxide. The ratiometric sensors are composed of dye-labeled cytochrome c\u0026amp;#39; attached to the optical fiber via colloidal gold, along with fluorescent microspheres as intensity standards. These ratiometric sensors exhibit linear response, have fast response times (\u0026amp;lt; or = 0.25 s), and are completely reversible. The sensors are selective over numerous common interferents such as nitrite, nitrate, and oxygen species, and the limit of detection is 8 microM nitric oxide. The lifetime-based measurements are made using free, dye-labeled cytochrome c\u0026amp;#39; in solution and have a limit of detection of 30 microM nitric oxide. The use of these two techniques has allowed measurement of intra- and extracellular macrophage nitric oxide. Employing the ratiometric fiber sensors gave a multicell culture average extracellular nitric oxide concentration of 210 +/- 90 microM for activated macrophages, while an average intracellular concentration of 160 +/- 10 microM was determined from the lifetime-based measurements of dye-labeled cytochrome c\u0026amp;#39; in the macrophage cytosol. Microscopic adaptation of the lifetime-based methods described here would allow direct correlation of intracellular nitric oxide levels with specific cellular activities, such as phagocytosis.","publisher":"American Chemical Society (ACS)","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"publication_name":"Analytical Chemistry"},"translated_abstract":"Ratiometric and lifetime-based sensors have been designed for cellular detection of nitric oxide. These sensors incorporate cytochrome c\u0026amp;#39;, a hemoprotein known to bind nitric oxide selectively. The cytochrome c\u0026amp;#39; is labeled with a fluorescent reporter dye, and changes in this dye\u0026amp;#39;s intensity or fluorescence lifetime are observed as the protein binds nitric oxide. The ratiometric sensors are composed of dye-labeled cytochrome c\u0026amp;#39; attached to the optical fiber via colloidal gold, along with fluorescent microspheres as intensity standards. These ratiometric sensors exhibit linear response, have fast response times (\u0026amp;lt; or = 0.25 s), and are completely reversible. The sensors are selective over numerous common interferents such as nitrite, nitrate, and oxygen species, and the limit of detection is 8 microM nitric oxide. The lifetime-based measurements are made using free, dye-labeled cytochrome c\u0026amp;#39; in solution and have a limit of detection of 30 microM nitric oxide. 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Microscopic adaptation of the lifetime-based methods described here would allow direct correlation of intracellular nitric oxide levels with specific cellular activities, such as 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Near Infrared Luminescent Oxygen Nanosensors with Nanoparticle Matrix Tailored Sensitivity" class="work-thumbnail" src="https://attachments.academia-assets.com/89338898/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/84250679/Near_Infrared_Luminescent_Oxygen_Nanosensors_with_Nanoparticle_Matrix_Tailored_Sensitivity">Near Infrared Luminescent Oxygen Nanosensors with Nanoparticle Matrix Tailored Sensitivity</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22af491832491b12dae704708ad6c02a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/84250638/Localized_Rotational_Phonons_in_a_Naphthalene_Doped_Biphenyl_Crystal">Localized Rotational Phonons in a Naphthalene Doped Biphenyl Crystal</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">$^{1}$P. Friedman and R. Kopelman, This Symposium, Paper N2 (1969).&quot;&quot;Author Institution...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">$^{1}$P. Friedman and R. Kopelman, This Symposium, Paper N2 (1969).&quot;&quot;Author Institution: Department of Chemistry, The University of MichiganThe first singlet-singlet transition of naphthalene in biphenyl reveals spectral line $structure^{1}$ at $2^{\circ} K$. Further spectra, involving $C_{10}D_{8}$ in $C_{12}H_{8}$ in $C_{12}D_{10}$ confirm that the hindered rotational motion is pseudo-localized at the naphthalene guest site. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3201259" id="papers"><div class="js-work-strip profile--work_container" data-work-id="103472295"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/103472295/Transient_Triplet_Differential_TTD_Method_for_Background_Free_Photoacoustic_Imaging"><img alt="Research paper thumbnail of Transient Triplet Differential (TTD) Method for Background Free Photoacoustic Imaging" class="work-thumbnail" src="https://attachments.academia-assets.com/103471095/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/103472295/Transient_Triplet_Differential_TTD_Method_for_Background_Free_Photoacoustic_Imaging">Transient Triplet Differential (TTD) Method for Background Free Photoacoustic Imaging</a></div><div class="wp-workCard_item"><span>Scientific reports</span><span>, Jan 18, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">With the capability of presenting endogenous tissue contrast or exogenous contrast agents in deep...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">With the capability of presenting endogenous tissue contrast or exogenous contrast agents in deep biological samples at high spatial resolution, photoacoustic (PA) imaging has shown significant potential for many preclinical and clinical applications. However, due to strong background signals from various intrinsic chromophores in biological tissue, such as hemoglobin, achieving highly sensitive PA imaging of targeting probes labeled by contrast agents has remained a challenge. In this study, we introduce a novel technique called transient triplet differential (TTD) imaging which allows for substantial reduction of tissue background signals. TTD imaging detects directly the triplet state absorption, which is a special characteristic of phosphorescence capable dyes not normally present among intrinsic chromophores of biological tissue. Thus, these triplet state absorption PA images can facilitate &quot;true&quot; background free molecular imaging. We prepared a known phosphorescent d...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3af2a1ff5dfd92175f21d616085f0166" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":103471095,"asset_id":103472295,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/103471095/download_file?st=MTczMjQxNjEzNiw4LjIyMi4yMDguMTQ2&st=MTczMjQxNjEzNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="103472295"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="103472295"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103472295; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103472295]").text(description); $(".js-view-count[data-work-id=103472295]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103472295; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103472295']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 103472295, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3af2a1ff5dfd92175f21d616085f0166" } } $('.js-work-strip[data-work-id=103472295]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103472295,"title":"Transient Triplet Differential (TTD) Method for Background Free Photoacoustic Imaging","translated_title":"","metadata":{"abstract":"With the capability of presenting endogenous tissue contrast or exogenous contrast agents in deep biological samples at high spatial resolution, photoacoustic (PA) imaging has shown significant potential for many preclinical and clinical applications. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="100396416"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/100396416/One_Diohliensilonall_A_B_0_Reactmion_with_One_Immobile_Species"><img alt="Research paper thumbnail of One-Diohliensilonall A + B = 0 Reactmion with One Immobile Species" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/100396416/One_Diohliensilonall_A_B_0_Reactmion_with_One_Immobile_Species">One-Diohliensilonall A + B = 0 Reactmion with One Immobile Species</a></div><div class="wp-workCard_item"><span>MRS Proceedings</span><span>, 1992</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The elementary batch reaction A + B = 0 is re-examined via Monte-Carlo simulations on a one-dimen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The elementary batch reaction A + B = 0 is re-examined via Monte-Carlo simulations on a one-dimensional lattice. The relative mobility of the A and B species is varied in this model, but the initial densities of the A and B are always the same. We calculate the rates, the density profiles, and the particle distribution functions. The rate power law is conserved, i.e., the well-known 1/4 behavior is established for all mobilities. The rate coefficient is the only mobility-dependent quantity. The interparticle distribution functions show that the aggregation depends on the relative mobility but the segregation does not. This subtle difference has no effect on the asymptotic reaction order, which is close to 5.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100396416"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100396416"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100396416; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100396416]").text(description); $(".js-view-count[data-work-id=100396416]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100396416; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100396416']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100396416, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=100396416]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100396416,"title":"One-Diohliensilonall A + B = 0 Reactmion with One Immobile Species","translated_title":"","metadata":{"abstract":"The elementary batch reaction A + B = 0 is re-examined via Monte-Carlo simulations on a one-dimensional lattice. The relative mobility of the A and B species is varied in this model, but the initial densities of the A and B are always the same. We calculate the rates, the density profiles, and the particle distribution functions. The rate power law is conserved, i.e., the well-known 1/4 behavior is established for all mobilities. The rate coefficient is the only mobility-dependent quantity. The interparticle distribution functions show that the aggregation depends on the relative mobility but the segregation does not. This subtle difference has no effect on the asymptotic reaction order, which is close to 5.","publisher":"Cambridge University Press (CUP)","publication_date":{"day":null,"month":null,"year":1992,"errors":{}},"publication_name":"MRS Proceedings"},"translated_abstract":"The elementary batch reaction A + B = 0 is re-examined via Monte-Carlo simulations on a one-dimensional lattice. The relative mobility of the A and B species is varied in this model, but the initial densities of the A and B are always the same. We calculate the rates, the density profiles, and the particle distribution functions. The rate power law is conserved, i.e., the well-known 1/4 behavior is established for all mobilities. The rate coefficient is the only mobility-dependent quantity. The interparticle distribution functions show that the aggregation depends on the relative mobility but the segregation does not. This subtle difference has no effect on the asymptotic reaction order, which is close to 5.","internal_url":"https://www.academia.edu/100396416/One_Diohliensilonall_A_B_0_Reactmion_with_One_Immobile_Species","translated_internal_url":"","created_at":"2023-04-18T10:14:05.580-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32994550,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"One_Diohliensilonall_A_B_0_Reactmion_with_One_Immobile_Species","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":32994550,"first_name":"Raoul","middle_initials":null,"last_name":"Kopelman","page_name":"RaoulKopelman","domain_name":"independent","created_at":"2015-07-11T21:36:18.921-07:00","display_name":"Raoul Kopelman","url":"https://independent.academia.edu/RaoulKopelman"},"attachments":[],"research_interests":[{"id":511,"name":"Materials 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class="work-thumbnail" src="https://attachments.academia-assets.com/99306013/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/97774658/Prostate_cancer_characterization_by_optical_contrast_enhanced_photoacoustics">Prostate cancer characterization by optical contrast enhanced photoacoustics</a></div><div class="wp-workCard_item"><span>SPIE Proceedings</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4751beb2f62b183508c72f9e31d45349" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99306013,"asset_id":97774658,"asset_type":"Work","button_location":"profile"}" 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These sensors incorporate cytochrome c&amp;#39;, a hemoprotein known to bind nitric oxide selectively. The cytochrome c&amp;#39; is labeled with a fluorescent reporter dye, and changes in this dye&amp;#39;s intensity or fluorescence lifetime are observed as the protein binds nitric oxide. The ratiometric sensors are composed of dye-labeled cytochrome c&amp;#39; attached to the optical fiber via colloidal gold, along with fluorescent microspheres as intensity standards. These ratiometric sensors exhibit linear response, have fast response times (&amp;lt; or = 0.25 s), and are completely reversible. The sensors are selective over numerous common interferents such as nitrite, nitrate, and oxygen species, and the limit of detection is 8 microM nitric oxide. The lifetime-based measurements are made using free, dye-labeled cytochrome c&amp;#39; in solution and have a limit of detection of 30 microM nitric oxide. The use of these two techniques has allowed measurement of intra- and extracellular macrophage nitric oxide. Employing the ratiometric fiber sensors gave a multicell culture average extracellular nitric oxide concentration of 210 +/- 90 microM for activated macrophages, while an average intracellular concentration of 160 +/- 10 microM was determined from the lifetime-based measurements of dye-labeled cytochrome c&amp;#39; in the macrophage cytosol. Microscopic adaptation of the lifetime-based methods described here would allow direct correlation of intracellular nitric oxide levels with specific cellular activities, such as phagocytosis.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="84250680"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84250680"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84250680; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84250680]").text(description); $(".js-view-count[data-work-id=84250680]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84250680; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84250680']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 84250680, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=84250680]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84250680,"title":"Ratiometric and Fluorescence-Lifetime-Based Biosensors Incorporating Cytochrome c ‘ and the Detection of Extra- and Intracellular Macrophage Nitric Oxide","translated_title":"","metadata":{"abstract":"Ratiometric and lifetime-based sensors have been designed for cellular detection of nitric oxide. These sensors incorporate cytochrome c\u0026amp;#39;, a hemoprotein known to bind nitric oxide selectively. The cytochrome c\u0026amp;#39; is labeled with a fluorescent reporter dye, and changes in this dye\u0026amp;#39;s intensity or fluorescence lifetime are observed as the protein binds nitric oxide. The ratiometric sensors are composed of dye-labeled cytochrome c\u0026amp;#39; attached to the optical fiber via colloidal gold, along with fluorescent microspheres as intensity standards. These ratiometric sensors exhibit linear response, have fast response times (\u0026amp;lt; or = 0.25 s), and are completely reversible. The sensors are selective over numerous common interferents such as nitrite, nitrate, and oxygen species, and the limit of detection is 8 microM nitric oxide. The lifetime-based measurements are made using free, dye-labeled cytochrome c\u0026amp;#39; in solution and have a limit of detection of 30 microM nitric oxide. The use of these two techniques has allowed measurement of intra- and extracellular macrophage nitric oxide. Employing the ratiometric fiber sensors gave a multicell culture average extracellular nitric oxide concentration of 210 +/- 90 microM for activated macrophages, while an average intracellular concentration of 160 +/- 10 microM was determined from the lifetime-based measurements of dye-labeled cytochrome c\u0026amp;#39; in the macrophage cytosol. Microscopic adaptation of the lifetime-based methods described here would allow direct correlation of intracellular nitric oxide levels with specific cellular activities, such as phagocytosis.","publisher":"American Chemical Society (ACS)","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"publication_name":"Analytical Chemistry"},"translated_abstract":"Ratiometric and lifetime-based sensors have been designed for cellular detection of nitric oxide. These sensors incorporate cytochrome c\u0026amp;#39;, a hemoprotein known to bind nitric oxide selectively. The cytochrome c\u0026amp;#39; is labeled with a fluorescent reporter dye, and changes in this dye\u0026amp;#39;s intensity or fluorescence lifetime are observed as the protein binds nitric oxide. The ratiometric sensors are composed of dye-labeled cytochrome c\u0026amp;#39; attached to the optical fiber via colloidal gold, along with fluorescent microspheres as intensity standards. These ratiometric sensors exhibit linear response, have fast response times (\u0026amp;lt; or = 0.25 s), and are completely reversible. The sensors are selective over numerous common interferents such as nitrite, nitrate, and oxygen species, and the limit of detection is 8 microM nitric oxide. The lifetime-based measurements are made using free, dye-labeled cytochrome c\u0026amp;#39; in solution and have a limit of detection of 30 microM nitric oxide. 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Near Infrared Luminescent Oxygen Nanosensors with Nanoparticle Matrix Tailored Sensitivity" class="work-thumbnail" src="https://attachments.academia-assets.com/89338898/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/84250679/Near_Infrared_Luminescent_Oxygen_Nanosensors_with_Nanoparticle_Matrix_Tailored_Sensitivity">Near Infrared Luminescent Oxygen Nanosensors with Nanoparticle Matrix Tailored Sensitivity</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22af491832491b12dae704708ad6c02a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/84250638/Localized_Rotational_Phonons_in_a_Naphthalene_Doped_Biphenyl_Crystal">Localized Rotational Phonons in a Naphthalene Doped Biphenyl Crystal</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">$^{1}$P. Friedman and R. Kopelman, This Symposium, Paper N2 (1969).&quot;&quot;Author Institution...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">$^{1}$P. Friedman and R. Kopelman, This Symposium, Paper N2 (1969).&quot;&quot;Author Institution: Department of Chemistry, The University of MichiganThe first singlet-singlet transition of naphthalene in biphenyl reveals spectral line $structure^{1}$ at $2^{\circ} K$. Further spectra, involving $C_{10}D_{8}$ in $C_{12}H_{8}$ in $C_{12}D_{10}$ confirm that the hindered rotational motion is pseudo-localized at the naphthalene guest site. 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