{"id":116867,"date":"2022-01-29T06:03:45","date_gmt":"2022-01-29T06:03:45","guid":{"rendered":"https:\/\/www.controleng.com\/articles\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/"},"modified":"2025-04-23T18:48:37","modified_gmt":"2025-04-23T23:48:37","slug":"using-sound-to-analyze-laser-induced-graphene-in-real-time","status":"publish","type":"post","link":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/","title":{"rendered":"Using sound to analyze laser-induced graphene in real time"},"content":{"rendered":"<p>It may be true that seeing is believing, but sometimes hearing can be better. Case in point: Two brothers in a Rice University laboratory heard something unusual while making graphene. Ultimately, they determined <a href=\"https:\/\/news.rice.edu\/news\/2022\/when-graphene-speaks-scientists-can-now-listen\">the sound itself could give them valuable data about the product<\/a>.<\/p>\n<p>The brothers, John Li, a Rice alumnus now studying at Stanford University, and Victor Li, then a high school student in New York and now a freshman at the Massachusetts Institute of Technology, are co-lead authors of a paper that describes the real-time analysis of\u00a0<a href=\"https:\/\/news2.rice.edu\/2014\/12\/10\/defects-are-perfect-in-laser-induced-graphene-2\/\">laser-induced graphene<\/a>\u00a0(LIG) production through sound.<\/p>\n<p>The brothers were working in the lab of Rice chemist\u00a0<a href=\"https:\/\/profiles.rice.edu\/faculty\/james-tour\">James Tour<\/a>\u00a0when they came up with their hypothesis and presented it at a group meeting.<\/p>\n<p>\u201cProfessor Tour said, \u2018It is interesting,\u2019 and told us to pursue it as a potential project,\u201d John Li recalled.<\/p>\n<p>The results, which appear in\u00a0Advanced Functional Materials, describe a simple acoustic signal processing scheme that analyzes LIG in real time to determine its form and quality.<\/p>\n<p>LIG,\u00a0<a href=\"https:\/\/news2.rice.edu\/2014\/12\/10\/defects-are-perfect-in-laser-induced-graphene-2\/\">introduced by the Tour lab in 2014<\/a>, makes layers of interconnected graphene sheets by heating the top of a thin polymer sheet to 2,500 degrees Celsius (4,532 degrees Fahrenheit), leaving only carbon atoms behind. The technique has since been applied to making graphene from other feedstock,\u00a0<a href=\"https:\/\/news2.rice.edu\/2018\/02\/13\/graphene-on-toast-anyone\/\">even food<\/a>.<\/p>\n<p>\u201cUnder different conditions, we hear different sounds because different processes are occurring,\u201d John said. \u201cSo if we hear variations during the synthesis, we\u2019d be able to detect different materials being formed.\u201d<\/p>\n<p>He said audio analysis allows for \u201cfar greater quality control capabilities that are orders of magnitude faster than characterization of laser-induced graphene by microscopy techniques.<\/p>\n<p>\u201cIn materials analysis, there are often tradeoffs between cost, speed, scalability, accuracy and precision, especially in terms of how much material you can systematically process,\u201d John said. \u201cWhat we have here allows us to efficiently scale the throughput of our analytical capabilities to the entire amount of material we\u2019re trying to synthesize in a robust manner.\u201d<\/p>\n<figure id=\"attachment_517974\" aria-describedby=\"caption-attachment-517974\" style=\"width: 1000px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-517974\" src=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound.jpeg\" alt=\"Rice University researchers have discovered that sound can be used to analyze the properties of laser-induced graphene in real time. The technique could be useful for material characterization in a wide range of engineering and manufacturing processes. Courtesy: Brandon Martin, Rice University\" width=\"1000\" height=\"668\" \/><figcaption id=\"caption-attachment-517974\" class=\"wp-caption-text\">Rice University researchers have discovered that sound can be used to analyze the properties of laser-induced graphene in real time. The technique could be useful for material characterization in a wide range of engineering and manufacturing processes. Courtesy: Brandon Martin, Rice University<\/figcaption><\/figure>\n<p>John invited his younger brother to Houston, knowing his expertise would be a plus in the lab. \u201cWe have complementary skill sets almost by design, where I avoid specializing in the things that he knows very well, and likewise, he avoids areas that I know very well,\u201d he said. \u201cSo we form a very solid team.<\/p>\n<p>\u201cBasically, I made the connection that the right sounds correspond to the right product, and he made the connection that the different sounds corresponded to different products,\u201d he said. \u201cAlso, he is much stronger than I am at certain computational techniques, whereas I\u2019m primarily an experimentalist.\u201d<\/p>\n<p>A small, $31 microphone from Amazon taped to the laser head and attached to a cellphone inside the laser cabinet picks up the audio for analysis.<\/p>\n<p>\u201cThe brothers converted the sound pattern through a mathematical technique called a\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Fast_Fourier_transform\">Fast Fourier transform<\/a>, so they could get numerical data from the sound data,\u201d Tour said. \u201cThrough some mathematical computations, that data can be a near-instant analytical tool to assess the product type and purity.\u201d<\/p>\n<p>John Li said the sounds emitted \u201cprovide information on the relaxation of the energy input when the laser hits the sample and gets absorbed, transmitted, scattered, reflected or just in general converted into different types of energy. That allows us to get local information on properties of the graphene\u2019s microstructure, morphology and nanoscale characteristics.\u201d<\/p>\n<p>Tour remains impressed by their ingenuity.<\/p>\n<p>\u201cWhat these brothers came up with is amazing,\u201d he said. \u201cThey are hearing the sounds of synthesis as it is performed, and from that they can determine product type and quality near-instantaneously. This could be an important approach during synthesis to guide manufacturing parameters.\u201d<\/p>\n<p>He said sound\u00a0analysis could contribute to a number of manufacturing processes, including his own lab\u2019s\u00a0<a href=\"https:\/\/news.rice.edu\/news\/2020\/rice-lab-turns-trash-valuable-graphene-flash\">flash Joule heating<\/a>, a method to make graphene and other materials from waste products, as well as\u00a0sintering, phase engineering, strain engineering, chemical vapor deposition, combustion, annealing, laser-cutting, gas evolution, distillation and more.<\/p>\n<p>&#8211; Edited by Chris Vavra, web content manager,\u00a0<em>Control Engineering<\/em>, CFE Media and Technology, <a href=\"mailto:cvavra@cfemedia.com\">cvavra@cfemedia.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rice University researchers discovered that sound can be used to analyze the properties of laser-induced graphene in real time.<\/p>\n","protected":false},"author":294,"featured_media":116869,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pgc_sgb_lightbox_settings":"","footnotes":""},"categories":[104042],"tags":[],"tracking-metrics":[],"display-location":[],"class_list":{"2":"type-post"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using sound to analyze laser-induced graphene in real time - Control Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using sound to analyze laser-induced graphene in real time - Control Engineering\" \/>\n<meta property=\"og:description\" content=\"Rice University researchers discovered that sound can be used to analyze the properties of laser-induced graphene in real time.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/\" \/>\n<meta property=\"og:site_name\" content=\"Control Engineering\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/ControlEngineeringMagazine\" \/>\n<meta property=\"article:published_time\" content=\"2022-01-29T06:03:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-23T23:48:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"645\" \/>\n\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Mike Williams\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@controlengtips\" \/>\n<meta name=\"twitter:site\" content=\"@controlengtips\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Mike Williams\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/\"},\"author\":{\"name\":\"Mike Williams\",\"@id\":\"https:\/\/www.controleng.com\/#\/schema\/person\/e63fba106bafd4a9b730c474c73c20be\"},\"headline\":\"Using sound to analyze laser-induced graphene in real time\",\"datePublished\":\"2022-01-29T06:03:45+00:00\",\"dateModified\":\"2025-04-23T23:48:37+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/\"},\"wordCount\":731,\"publisher\":{\"@id\":\"https:\/\/www.controleng.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg\",\"articleSection\":[\"Energy, Power\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/\",\"url\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/\",\"name\":\"Using sound to analyze laser-induced graphene in real time - Control Engineering\",\"isPartOf\":{\"@id\":\"https:\/\/www.controleng.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg\",\"datePublished\":\"2022-01-29T06:03:45+00:00\",\"dateModified\":\"2025-04-23T23:48:37+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage\",\"url\":\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg\",\"contentUrl\":\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg\",\"width\":645,\"height\":350,\"caption\":\"Courtesy: Brandon Martin, Rice University\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.controleng.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Using sound to analyze laser-induced graphene in real time\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.controleng.com\/#website\",\"url\":\"https:\/\/www.controleng.com\/\",\"name\":\"Control Engineering\",\"description\":\"Control Engineering covers and educates about automation, control and instrumentation technologies\",\"publisher\":{\"@id\":\"https:\/\/www.controleng.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.controleng.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.controleng.com\/#organization\",\"name\":\"Control Engineering\",\"url\":\"https:\/\/www.controleng.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.controleng.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/12\/ce_logo.png\",\"contentUrl\":\"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/12\/ce_logo.png\",\"width\":300,\"height\":93,\"caption\":\"Control Engineering\"},\"image\":{\"@id\":\"https:\/\/www.controleng.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/ControlEngineeringMagazine\",\"https:\/\/x.com\/controlengtips\",\"https:\/\/www.linkedin.com\/company\/control-engineering-magazine\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.controleng.com\/#\/schema\/person\/e63fba106bafd4a9b730c474c73c20be\",\"name\":\"Mike Williams\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.controleng.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/c3ae4a0de8459c5da0bad3966e451dc88976a6181455a57e11f34ba67d7e0d33?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/c3ae4a0de8459c5da0bad3966e451dc88976a6181455a57e11f34ba67d7e0d33?s=96&d=mm&r=g\",\"caption\":\"Mike Williams\"},\"url\":\"https:\/\/www.controleng.com\/author\/mike-williams\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Using sound to analyze laser-induced graphene in real time - Control Engineering","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/","og_locale":"en_US","og_type":"article","og_title":"Using sound to analyze laser-induced graphene in real time - Control Engineering","og_description":"Rice University researchers discovered that sound can be used to analyze the properties of laser-induced graphene in real time.","og_url":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/","og_site_name":"Control Engineering","article_publisher":"https:\/\/www.facebook.com\/ControlEngineeringMagazine","article_published_time":"2022-01-29T06:03:45+00:00","article_modified_time":"2025-04-23T23:48:37+00:00","og_image":[{"width":645,"height":350,"url":"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg","type":"image\/jpeg"}],"author":"Mike Williams","twitter_card":"summary_large_image","twitter_creator":"@controlengtips","twitter_site":"@controlengtips","twitter_misc":{"Written by":"Mike Williams","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#article","isPartOf":{"@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/"},"author":{"name":"Mike Williams","@id":"https:\/\/www.controleng.com\/#\/schema\/person\/e63fba106bafd4a9b730c474c73c20be"},"headline":"Using sound to analyze laser-induced graphene in real time","datePublished":"2022-01-29T06:03:45+00:00","dateModified":"2025-04-23T23:48:37+00:00","mainEntityOfPage":{"@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/"},"wordCount":731,"publisher":{"@id":"https:\/\/www.controleng.com\/#organization"},"image":{"@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage"},"thumbnailUrl":"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg","articleSection":["Energy, Power"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/","url":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/","name":"Using sound to analyze laser-induced graphene in real time - Control Engineering","isPartOf":{"@id":"https:\/\/www.controleng.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage"},"image":{"@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage"},"thumbnailUrl":"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg","datePublished":"2022-01-29T06:03:45+00:00","dateModified":"2025-04-23T23:48:37+00:00","breadcrumb":{"@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#primaryimage","url":"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg","contentUrl":"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/11\/CTL2201_WEB_IMG_Rice_Graphene_Sound-Slider.jpeg","width":645,"height":350,"caption":"Courtesy: Brandon Martin, Rice University"},{"@type":"BreadcrumbList","@id":"https:\/\/www.controleng.com\/using-sound-to-analyze-laser-induced-graphene-in-real-time\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.controleng.com\/"},{"@type":"ListItem","position":2,"name":"Using sound to analyze laser-induced graphene in real time"}]},{"@type":"WebSite","@id":"https:\/\/www.controleng.com\/#website","url":"https:\/\/www.controleng.com\/","name":"Control Engineering","description":"Control Engineering covers and educates about automation, control and instrumentation technologies","publisher":{"@id":"https:\/\/www.controleng.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.controleng.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.controleng.com\/#organization","name":"Control Engineering","url":"https:\/\/www.controleng.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.controleng.com\/#\/schema\/logo\/image\/","url":"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/12\/ce_logo.png","contentUrl":"https:\/\/www.controleng.com\/wp-content\/uploads\/2024\/12\/ce_logo.png","width":300,"height":93,"caption":"Control Engineering"},"image":{"@id":"https:\/\/www.controleng.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/ControlEngineeringMagazine","https:\/\/x.com\/controlengtips","https:\/\/www.linkedin.com\/company\/control-engineering-magazine\/"]},{"@type":"Person","@id":"https:\/\/www.controleng.com\/#\/schema\/person\/e63fba106bafd4a9b730c474c73c20be","name":"Mike Williams","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.controleng.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/c3ae4a0de8459c5da0bad3966e451dc88976a6181455a57e11f34ba67d7e0d33?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/c3ae4a0de8459c5da0bad3966e451dc88976a6181455a57e11f34ba67d7e0d33?s=96&d=mm&r=g","caption":"Mike Williams"},"url":"https:\/\/www.controleng.com\/author\/mike-williams\/"}]}},"_links":{"self":[{"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/posts\/116867","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/users\/294"}],"replies":[{"embeddable":true,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/comments?post=116867"}],"version-history":[{"count":0,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/posts\/116867\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/media\/116869"}],"wp:attachment":[{"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/media?parent=116867"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/categories?post=116867"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/tags?post=116867"},{"taxonomy":"tracking-metric","embeddable":true,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/tracking-metrics?post=116867"},{"taxonomy":"display-location","embeddable":true,"href":"https:\/\/www.controleng.com\/wp-json\/wp\/v2\/display-location?post=116867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}