{"id":1601,"date":"2025-06-03T16:59:12","date_gmt":"2025-06-03T09:59:12","guid":{"rendered":"https:\/\/htiscientific.vn\/?p=1601"},"modified":"2025-06-09T14:30:51","modified_gmt":"2025-06-09T07:30:51","slug":"phan-tich-ky-thuat-nhua-pe-polyethylene-tai-che-su-dung-dsc-pyris-9-cua-perkinelmer","status":"publish","type":"post","link":"https:\/\/htiscientific.vn\/en\/phan-tich-ky-thuat-nhua-pe-polyethylene-tai-che-su-dung-dsc-pyris-9-cua-perkinelmer\/","title":{"rendered":"Analysis of Recycled Polyethylene Using the PerkinElmer Pyris\u2122 DSC 9"},"content":{"rendered":"<p><span style=\"color: #000000;\">Polyethylene (PE) is a thermoplastic polymer with variable crystalline structure and a wide range of applications depending on its specific type.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">Differential scanning calorimetry (DSC) provides information about key thermal characteristics of polymers including insights into glass transitions, melting point, recrystallization and curing among others. When characterizing polymers, the PerkinElmer Pyris\u2122 DSC 9 provides a simple yet robust solution to differentiate between different grades of the same polymer based on known thermal characteristics. This work will demonstrate how DSC can be used to easily determine the grade of a sample of recycled polyethylene, as well as detect the present of a low concentration of polypropylene in a recycled polyethylene sample. <a href=\"https:\/\/htiscientific.vn\/en\/product\/may-quet-nhiet-vi-sai-dsc-9\/\">thi\u1ebft b\u1ecb DSC Pyris\u2122 9<\/a> c\u1ee7a PerkinElmer l\u00e0 m\u1ed9t gi\u1ea3i ph\u00e1p \u0111\u01a1n gi\u1ea3n nh\u01b0ng m\u1ea1nh m\u1ebd \u0111\u1ec3 ph\u00e2n bi\u1ec7t c\u00e1c c\u1ea5p \u0111\u1ed9 kh\u00e1c nhau c\u1ee7a c\u00f9ng m\u1ed9t lo\u1ea1i polyme d\u1ef1a tr\u00ean c\u00e1c \u0111\u1eb7c t\u00ednh nhi\u1ec7t \u0111\u00e3 bi\u1ebft. Nghi\u00ean c\u1ee9u n\u00e0y s\u1ebd ch\u1ee9ng minh c\u00e1ch DSC c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ph\u00e2n t\u00edch polyethylene t\u00e1i ch\u1ebf x\u00e1c \u0111\u1ecbnh c\u1ea5p \u0111\u1ed9 c\u1ee7a m\u1eabu polyethylene t\u00e1i ch\u1ebf, c\u0169ng nh\u01b0 ph\u00e1t hi\u1ec7n s\u1ef1 hi\u1ec7n di\u1ec7n c\u1ee7a m\u1ed9t l\u01b0\u1ee3ng nh\u1ecf polypropylene trong m\u1eabu polyethylene t\u00e1i ch\u1ebf.<\/span><\/p>\n<h2 style=\"text-align: justify;\"><span style=\"color: #000000;\"><strong>Experimental<\/strong><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">5 mg (+\/- 0.5 mg) samples of polyethylene were cut to give a flat shape, providing ideal thermal contact for DSC analysis. Samples were crimped into standard aluminum pans (02190041) prior to analysis using the DSC 9 differential scanning calorimeter (Figure 1). All samples were measured using the following temperature program:<\/span><\/p>\n<ul style=\"text-align: justify;\">\n<li>\n<ul>\n<li><span style=\"color: #000000;\">Hold for 1 minute at 50 \u00b0C<\/span><\/li>\n<li><span style=\"color: #000000;\">Heat from 50 to 180 \u00b0C at 20 \u00b0C\/min<\/span><\/li>\n<li><span style=\"color: #000000;\">Hold for 1 minute at 180 \u00b0C<\/span><\/li>\n<li><span style=\"color: #000000;\">Cool from 180 to 50 \u00b0C at 20 \u00b0C\/min<\/span><\/li>\n<li><span style=\"color: #000000;\">Hold for 1 minute at 50 \u00b0C<\/span><\/li>\n<li><span style=\"color: #000000;\">Heat from 50 to 180 \u00b0C at 20 \u00b0C\/min<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">This method involves first heating all samples past their melting temperature, then cooling them down at a controlled, consistent cooling rate. This accomplishes two key tasks. The first is ensuring optimum thermal contact between the sample and pan. The second is essentially \u2018erasing\u2019 any thermal history the sample might have due to previous processing. This provides far more comparable results than would otherwise be available.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7435 size-medium\" src=\"https:\/\/perkinelmervietnam.vn\/wp-content\/uploads\/2024\/10\/Pyris-500x500-1.png\" alt=\"M\u00e1y qu\u00e9t nhi\u1ec7t l\u01b0\u1ee3ng vi sai DSC 9 PerkinElmer\" width=\"500\" height=\"500\" \/><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><em>Figure 1.  PerkinElmer Pyris\u2122  DSC 9 Differential Scanning Calorimeter.and Established PDEs for Elemental Impurities<\/em><\/span><\/p>\n<h2 style=\"text-align: justify;\"><span style=\"color: #000000;\"><strong>Results and Discussion<\/strong><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">Results from DSC analysis of virgin low-density polyethylene (LDPE) and high-density polyethylene (HDPE) are shown  in Figure 2. For both samples, Pyris\u2122 software was used  to calculate the melting onset temperature as well as the  peak melting temperature.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">This data may be used as a reference in order to determine  the grade of an unknown polyethylene sample. Figure 3 shows the data obtained by a sample of polyethylene with an  unknown grade.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7631 size-medium\" src=\"https:\/\/perkinelmervietnam.vn\/wp-content\/uploads\/2024\/11\/Screenshot-2024-11-11-112326.png\" alt=\"K\u1ebft qu\u1ea3 ph\u00e2n t\u00edch nhi\u1ec7t m\u1eabu polyethylene\" width=\"1432\" height=\"711\" \/><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><em>Figure 2. DSC results from virgin polyethylene samples.<\/em><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7635 size-medium\" src=\"https:\/\/perkinelmervietnam.vn\/wp-content\/uploads\/2024\/11\/Screenshot-2024-11-11-112338.png\" alt=\"D\u1eef li\u1ec7u nhi\u1ec7t thu \u0111\u01b0\u1ee3c t\u1eeb m\u1ed9t m\u1eabu polyethylene\" width=\"1432\" height=\"412\" \/><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><em>Figure 3. DSC data obtained from a recycled polyethylene sample.<\/em><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">Pyris software allows users to set tolerance test limits. In  this case, the limit can be set such that anything with a melt onset temperature above 117 \u00b0C (as found from analysis of  the virgin polymer) may be deemed to be HDPE. This provides  a simple and streamlined method for quickly determining the grade of polyethylene. Another test that may be employed with recycled polyethylene is the detection of polypropylene. Figure 4 shows the DSC collected from a sample that is suspected to contain a small quantity (approximately 2%) of polypropylene.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">From this data we can determine the grade of polyethylene by  looking at the melting onset temperature (LDPE due to an onset of 101 \u00b0C) as well as clearly identifying the peak with a melting point of 162 \u00b0C.<\/span><\/p>\n<h2 style=\"text-align: justify;\"><span style=\"color: #000000;\"><strong>Summary<\/strong><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/htiscientific.vn\/en\/product\/may-quet-nhiet-vi-sai-dsc-9\/\">M\u00e1y DSC Pyris 9<\/a>\u00a0for\u00a0<a style=\"color: #000000;\" href=\"https:\/\/content.perkinelmer.com\/\">PerkinElmer<\/a>\u00a0The PerkinElmer Pyris DSC 9 provides a robust yet highperformance solution for polymer analysis. Pyris software may be used to automate data analysis to give a simple yes or no answer regarding the identity of a sample. Furthermore, the high sensitivity of DSC allows for the detection of contaminant polymers even at low concentrations.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7633 size-medium\" src=\"https:\/\/perkinelmervietnam.vn\/wp-content\/uploads\/2024\/11\/Screenshot-2024-11-11-112349.png\" alt=\"D\u1eef li\u1ec7u DSC t\u1eeb m\u1ed9t m\u1eabu polyethylene t\u00e1i ch\u1ebf nghi ng\u1edd c\u00f3 ch\u1ee9a m\u1ed9t l\u01b0\u1ee3ng nh\u1ecf polypropylene\" width=\"1430\" height=\"663\" \/><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><em>Figure 4. DSC data from a sample of recycled polyethylene suspected to contain a small quantity of polypropylene.<\/em><\/span><\/p>\n<p><span style=\"color: #000000;\">Detail app note: <a href=\"http:\/\/perkinelmer.widen.net\/content\/sorgmtycpq\/pdf\/app-analysis-recycled-polyethylene-dsc-9.pdf?u=3ezgsz\">perkinelmer\/app-analysis-recycled-polyethylene-dsc-9.pdf?u=3ezgsz<\/a><\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Polyethylene (nh\u1ef1a PE) l\u00e0 m\u1ed9t polymer nhi\u1ec7t d\u1ebbo v\u1edbi c\u1ea5u tr\u00fac tinh th\u1ec3 thay \u0111\u1ed5i v\u00e0 m\u1ed9t lo\u1ea1t \u1ee9ng d\u1ee5ng t\u00f9y thu\u1ed9c v\u00e0o t\u1eebng lo\u1ea1i c\u1ee5 th\u1ec3. Ph\u00e9p \u0111o nhi\u1ec7t l\u01b0\u1ee3ng qu\u00e9t vi sai (DSC) cung c\u1ea5p th\u00f4ng tin v\u1ec1 c\u00e1c \u0111\u1eb7c t\u00ednh nhi\u1ec7t quan tr\u1ecdng c\u1ee7a polyme, bao g\u1ed3m&#8230;<\/p>","protected":false},"author":2,"featured_media":1602,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[17,1],"tags":[],"class_list":["post-1601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-tin-tuc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ph\u00e2n t\u00edch k\u1ef9 thu\u1eadt nh\u1ef1a PE (Polyethylene) t\u00e1i ch\u1ebf s\u1eed d\u1ee5ng DSC Pyris 9 c\u1ee7a PerkinElmer - HTI Scientific<\/title>\n<meta name=\"description\" content=\"Polyethylene (nh\u1ef1a PE) l\u00e0 m\u1ed9t polymer nhi\u1ec7t d\u1ebbo 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