{"id":108,"date":"2025-12-15T17:42:33","date_gmt":"2025-12-15T17:42:33","guid":{"rendered":"https:\/\/www.research.colostate.edu\/arc\/?page_id=108"},"modified":"2026-03-02T20:45:23","modified_gmt":"2026-03-02T20:45:23","slug":"trace-element-analysis","status":"publish","type":"page","link":"https:\/\/www.research.colostate.edu\/arc\/services\/trace-element-analysis\/","title":{"rendered":"Trace Element Analysis"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Explore ARC\u2019s Trace Element Analysis Services<\/h2>\n\n\n\n<p>ARC provides comprehensive trace element and ionomics analysis using ICP-MS, supporting research across biological, environmental, agricultural, and materials sciences. Our PerkinElmer NexION system enables sensitive, multi-element quantification for a wide range of sample types, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Food and agricultural products<\/li>\n\n\n\n<li>Plants and water samples<\/li>\n\n\n\n<li>Biological samples:&nbsp;plasma, hair, tissue<\/li>\n\n\n\n<li>Materials:&nbsp;polymers, catalysts<\/li>\n\n\n\n<li>And many other complex matrices<\/li>\n<\/ul>\n\n\n\n<div style=\"height:3rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Services<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Full multi-element panel (26 elements):<\/strong> Quantification of Li, Be, B, Cd, Se, As, Na, P, S, Mg, K, Ca, Al, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Sr, Mo, Ba, W, and Pb; ideal for broad elemental profiling in plants, food, environmental samples, and biological matrices.<\/li>\n\n\n\n<li><strong>Targeted analysis:<\/strong> Highly sensitive quantification of specific metals or small subsets of elements based on project needs.<\/li>\n\n\n\n<li><strong>Semi-quantitative screening:<\/strong> Useful for early-stage method development, unknown samples, or gaining an initial understanding of elemental composition.<\/li>\n\n\n\n<li><strong>Sample preparation support:<\/strong> Open-vessel or&nbsp;microwave digestion&nbsp;workflows tailored to challenging matrices.<\/li>\n\n\n\n<li><strong>Comprehensive reporting:<\/strong> Includes full methods, QA\/QC metrics, calibration details, and results formatted for publication or downstream analysis<\/li>\n<\/ul>\n\n\n\n<div style=\"height:3rem\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Instruments<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>PerkinElmer NexION 350D ICP-MS with prepFAST SC-2 autosampler (Elemental Scientific)<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"mailto:jacqueline.chaparro@colostate.edu\">contact jacqueline chaparro<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Explore ARC\u2019s Trace Element Analysis Services ARC provides comprehensive trace element and ionomics analysis using ICP-MS, supporting research across biological, environmental, agricultural, and materials sciences. Our PerkinElmer NexION system enables sensitive, multi-element quantification for a wide range of sample types, including: Services Instruments<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":36,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"microsite":[],"class_list":["post-108","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/pages\/108","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/comments?post=108"}],"version-history":[{"count":0,"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/pages\/108\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/pages\/36"}],"wp:attachment":[{"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/media?parent=108"}],"wp:term":[{"taxonomy":"microsite","embeddable":true,"href":"https:\/\/www.research.colostate.edu\/arc\/wp-json\/wp\/v2\/microsite?post=108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}