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Domain > ng-sensors.eu
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DNS Resolutions
Date
IP Address
2022-12-05
99.86.102.56
(
ClassC
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2025-08-01
99.84.66.109
(
ClassC
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Port 80
HTTP/1.1 200 OKContent-Type: text/htmlContent-Length: 10798Connection: keep-aliveDate: Fri, 01 Aug 2025 12:59:16 GMTLast-Modified: Tue, 16 May 2023 12:11:58 GMTETag: 37a54460d76bc2cacf76be63cac564d4Server: AmazonS3X-Cache: Miss from cloudfrontVia: 1.1 a20e81b65d2465c729ce2f6bfe539dd0.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO50-C1X-Amz-Cf-Id: iSXsvBg0QTKxg1G6qP2QWXvfMlmNpSvV_ou9hKKFcySMTr5xsRsjuA !DOCTYPE html PUBLIC -//W3C//DTD XHTML 1.0 Transitional//EN http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd>html xmlnshttp://www.w3.org/1999/xhtml>head> meta nameviewport contentwidthdevice-width, initial-scale1.0 /> meta http-equivContent-Type contenttext/html; charsetUTF-8 /> link relstylesheet hrefhttps://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.css> style typetext/css relstylesheet mediaall> @import url(https://fonts.googleapis.com/css?familyOpen+Sans:400,600,300&displayswap); body { font-family: Open sans, sans-serif; padding: 1rem 2.5rem; background-color: grey; color: black; line-height: 27.2px; -webkit-text-size-adjust: 100%; -webkit-tap-highlight-color: rgba(0, 0, 0, 0); font-size: 62.5% !important; } .main-wrapper { padding: 4rem; background-color: white; max-width: 124rem; margin-left: auto; margin-right: auto; } .header-section { background-color: #F0F0E6; padding: 2.4rem; margin-bottom: 2rem; } .logo-section { display: flex; justify-content: space-between; } .sub-header { font-weight: 700; color: #BA0202; font-size: 2rem; } .body-text { font-size: 1.6rem; text-align: justify; } .body-text2 { font-size: 1.4rem; margin-bottom: 0; } .div-seperator { border-bottom: 2px solid #D1CFCC; margin-top: 0.7rem; margin-bottom: 0.5rem; } .row { display: flex; flex-wrap: wrap; } .col-6 { flex: 0 0 50%; max-width: 50%; padding-left: 15px; padding-right: 15px; } .m-0 { margin: 0 !important; } ol { padding-left: 1.5rem; } li { font-size: 1.6rem; line-height: 170%; } .logo-img { object-fit: contain; max-height: 4.2rem; } .header-text { font-weight: 700; font-size: 46px; line-height: 137%; color: #00549D; margin: 4.5rem 0; } @media only screen and (max-width:640px) { .m-top-15 { margin-top: 20px; } } @media only screen and (max-width:576px) { .header-text { font-size: 20px !important; margin: 2.5rem 0 !important; } .header-link { font-size: 18px !important; } .main-wrapper { padding: 1rem; } body { padding: 1rem; } } @media only screen and (max-width: 768px) { .justify-content-center { justify-content: flex-start; } .space-around { justify-content: flex-start !important; } .w-30 { width: 20rem !important; } } @media only screen and (max-width: 1037px) { .w-30 { width: 30rem !important; } .w-14 { width: 14rem !important; } } @media only screen and (min-width: 576px) and (max-width: 768px) { .header-text { font-size: 30px !important; margin: 2.5rem 0 !important; } .header-link { font-size: 20px !important; } } .header-link { font-size: 30px; line-height: 137%; color: #CD1411; margin: 0; /* cursor: pointer; */ } .figure-description { font-size: 13px; line-height: 183%; } .justify-content-center { justify-content: center; display: flex; } .align-item-center { align-items: center; display: flex; } .w-75 { width: 75%; } .w-100 { width: 100%; } .w-30 { width: 45rem; } .w-14 { width: 21rem; } .space-around { justify-content: space-around; } .ml-10 { margin-left: 10px; } /style>/head>body> div classmain-wrapper> div classheader-section> div classrow space-around> !-- div class align-item-center col-12 justify-content-center> --> img classw-14 col-12 src./images/NGS_Logo_1.png alt> img classw-30 m-top-15 col-12 ml-10 src./images/eu-logo.png alt> img classw-14 m-top-15 ml-4 col-12 ml-10 src./images/Logo-OpZuid.svg alt> !-- /div> --> !-- div classcol-md-4 m-top-15 col-sm-6 col-12 justify-content-center> img classw-30 src./images/EU_logo.svg alt> /div> div classcol-md-4 m-top-15 col-sm-6 col-12 justify-content-center> img classw-75 src./images/Logo-OpZuid.svg alt> /div> --> /div> p classheader-text> SpotDetect - Bringing the Lab to the Sample /p> p classheader-link>https://ng-sensors.eu/p> /div> div classrow> div classcol-sm-6 col-12> div classdiv-seperator>/div> p classsub-header>Background/p> p classbody-text> Smart technology needs to be developed in addressing automated quality assessment throughout agro-food chains. Data resulting from new sensors and sensor applications need to be more and more combined, in real-time through smart data analysis and using AI (multi-sensor approach). The aim for end-users in agro-food is a fast and robust quality prediction for a wide range of agro- and (processed) food products to support better decision-making in sorting, processing, and packing. Most ideal would be the combination of targeted and precise mass spectrometry with near-infrared sensing which provides a more general chemical fingerprint of the product. The SpotDetect project aims to produce an affordable mass spectrometry sensor in combination with a near-infra red sensor that can be used on-site without sample preparation. The current technology development in low-cost mass spectrometry techniques and near-infrared has advanced far enough that this new sensor combination can be produced as prototypes and tested in agri-food (Figure 1). /p> img styleobject-fit: contain; width: 100%; margin-top: 1.5rem src./images/figure_1.jpg alt> p classfigure-description> b>Figure 1:/b> Drawbacks of current quality and contamination analysis are addressed by implementation of the SpotDetect of NG Sensors in quality testing processes. /p> div classdiv-seperator>/div> p classsub-header>Acknowledgement/p> p classbody-text2>Dit project is mede mogelijk gemaakt door het Europees Fonds voor Regionale Ontwikkeling in het kader van REACT-EU./p> p classbody-text2 stylecolor: #FF0000;>This project is co-funded by the European Regional Development Fund under the REACT-EU programme/p> /div> div classcol-sm-6 col-12> div classdiv-seperator>/div> p classsub-header>Objectives/p> p classbody-text> The overall objective of the project is the demonstration of the MVP user-friendly portable NIR-MS (Figure 2) of SpotDetect as a solution for on-site testing of food contaminants namely aquaculture water contaminants, organic origin authenticity, fruit quality parameters and volatile organic contaminants and compounds. This will be achieved by the following objectives; SpotDetect will be /p> ol> li>Rapid and real-time (N IR-MS analysis in less than 2 minutes)/li> li>Can measure liq uid and solid foo d samples via non-contact analysis./li> li>MS component sensitive (ppt, parts per trillion), IR 1 part per million./li> li>Low weight because of the usage of unprecedented materials(patent pending, PCT/EP2021/055467) (approx. 10 kgs) hence can be easily carried across all domestic terrains/li> li>Can be handled by anyone with less or no technical knowledge – i.e., by providing application-specific capabilities and a simple outputGreen or Red (positive / negative)/li> li>Cloud-based blockchain proprietary (patent pending, EP20175456.1)technology ensures full traceability of food contamination and prevents fraud caused by data tampering./li> /ol> img styleobject-fit: contain; width: 100%; margin-top: 2rem; src./images/figure_2.jpg alt> p classfigure-description> b>Figure 2:/b> Spot detect Minimal Viable Product concept and individual compounds. /p> /div> /div> div classdiv-seperator stylemargin-top: 2rem; margin-bottom: 2.8rem;>/div> div class row> div classcol-md-6 col-12 > img classlogo-img w-100 src./images/ciedLogo.png alt> /div> div classcol-md-6 col-12 m-top-15> img classlogo-img w-100 src./images/logo_3.png alt> /div> /div> /div>/body>/html>
Port 443
HTTP/1.1 200 OKContent-Type: text/htmlContent-Length: 10798Connection: keep-aliveDate: Fri, 01 Aug 2025 12:59:16 GMTLast-Modified: Tue, 16 May 2023 12:11:58 GMTETag: 37a54460d76bc2cacf76be63cac564d4Server: AmazonS3X-Cache: Hit from cloudfrontVia: 1.1 000f4a2f631bace380a0afa747a82482.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO50-C1X-Amz-Cf-Id: jojFAl9mP41igprao-LW9zZs0X505HqakIvojbgqNzYpDMDg07K_sw !DOCTYPE html PUBLIC -//W3C//DTD XHTML 1.0 Transitional//EN http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd>html xmlnshttp://www.w3.org/1999/xhtml>head> meta nameviewport contentwidthdevice-width, initial-scale1.0 /> meta http-equivContent-Type contenttext/html; charsetUTF-8 /> link relstylesheet hrefhttps://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.css> style typetext/css relstylesheet mediaall> @import url(https://fonts.googleapis.com/css?familyOpen+Sans:400,600,300&displayswap); body { font-family: Open sans, sans-serif; padding: 1rem 2.5rem; background-color: grey; color: black; line-height: 27.2px; -webkit-text-size-adjust: 100%; -webkit-tap-highlight-color: rgba(0, 0, 0, 0); font-size: 62.5% !important; } .main-wrapper { padding: 4rem; background-color: white; max-width: 124rem; margin-left: auto; margin-right: auto; } .header-section { background-color: #F0F0E6; padding: 2.4rem; margin-bottom: 2rem; } .logo-section { display: flex; justify-content: space-between; } .sub-header { font-weight: 700; color: #BA0202; font-size: 2rem; } .body-text { font-size: 1.6rem; text-align: justify; } .body-text2 { font-size: 1.4rem; margin-bottom: 0; } .div-seperator { border-bottom: 2px solid #D1CFCC; margin-top: 0.7rem; margin-bottom: 0.5rem; } .row { display: flex; flex-wrap: wrap; } .col-6 { flex: 0 0 50%; max-width: 50%; padding-left: 15px; padding-right: 15px; } .m-0 { margin: 0 !important; } ol { padding-left: 1.5rem; } li { font-size: 1.6rem; line-height: 170%; } .logo-img { object-fit: contain; max-height: 4.2rem; } .header-text { font-weight: 700; font-size: 46px; line-height: 137%; color: #00549D; margin: 4.5rem 0; } @media only screen and (max-width:640px) { .m-top-15 { margin-top: 20px; } } @media only screen and (max-width:576px) { .header-text { font-size: 20px !important; margin: 2.5rem 0 !important; } .header-link { font-size: 18px !important; } .main-wrapper { padding: 1rem; } body { padding: 1rem; } } @media only screen and (max-width: 768px) { .justify-content-center { justify-content: flex-start; } .space-around { justify-content: flex-start !important; } .w-30 { width: 20rem !important; } } @media only screen and (max-width: 1037px) { .w-30 { width: 30rem !important; } .w-14 { width: 14rem !important; } } @media only screen and (min-width: 576px) and (max-width: 768px) { .header-text { font-size: 30px !important; margin: 2.5rem 0 !important; } .header-link { font-size: 20px !important; } } .header-link { font-size: 30px; line-height: 137%; color: #CD1411; margin: 0; /* cursor: pointer; */ } .figure-description { font-size: 13px; line-height: 183%; } .justify-content-center { justify-content: center; display: flex; } .align-item-center { align-items: center; display: flex; } .w-75 { width: 75%; } .w-100 { width: 100%; } .w-30 { width: 45rem; } .w-14 { width: 21rem; } .space-around { justify-content: space-around; } .ml-10 { margin-left: 10px; } /style>/head>body> div classmain-wrapper> div classheader-section> div classrow space-around> !-- div class align-item-center col-12 justify-content-center> --> img classw-14 col-12 src./images/NGS_Logo_1.png alt> img classw-30 m-top-15 col-12 ml-10 src./images/eu-logo.png alt> img classw-14 m-top-15 ml-4 col-12 ml-10 src./images/Logo-OpZuid.svg alt> !-- /div> --> !-- div classcol-md-4 m-top-15 col-sm-6 col-12 justify-content-center> img classw-30 src./images/EU_logo.svg alt> /div> div classcol-md-4 m-top-15 col-sm-6 col-12 justify-content-center> img classw-75 src./images/Logo-OpZuid.svg alt> /div> --> /div> p classheader-text> SpotDetect - Bringing the Lab to the Sample /p> p classheader-link>https://ng-sensors.eu/p> /div> div classrow> div classcol-sm-6 col-12> div classdiv-seperator>/div> p classsub-header>Background/p> p classbody-text> Smart technology needs to be developed in addressing automated quality assessment throughout agro-food chains. Data resulting from new sensors and sensor applications need to be more and more combined, in real-time through smart data analysis and using AI (multi-sensor approach). The aim for end-users in agro-food is a fast and robust quality prediction for a wide range of agro- and (processed) food products to support better decision-making in sorting, processing, and packing. Most ideal would be the combination of targeted and precise mass spectrometry with near-infrared sensing which provides a more general chemical fingerprint of the product. The SpotDetect project aims to produce an affordable mass spectrometry sensor in combination with a near-infra red sensor that can be used on-site without sample preparation. The current technology development in low-cost mass spectrometry techniques and near-infrared has advanced far enough that this new sensor combination can be produced as prototypes and tested in agri-food (Figure 1). /p> img styleobject-fit: contain; width: 100%; margin-top: 1.5rem src./images/figure_1.jpg alt> p classfigure-description> b>Figure 1:/b> Drawbacks of current quality and contamination analysis are addressed by implementation of the SpotDetect of NG Sensors in quality testing processes. /p> div classdiv-seperator>/div> p classsub-header>Acknowledgement/p> p classbody-text2>Dit project is mede mogelijk gemaakt door het Europees Fonds voor Regionale Ontwikkeling in het kader van REACT-EU./p> p classbody-text2 stylecolor: #FF0000;>This project is co-funded by the European Regional Development Fund under the REACT-EU programme/p> /div> div classcol-sm-6 col-12> div classdiv-seperator>/div> p classsub-header>Objectives/p> p classbody-text> The overall objective of the project is the demonstration of the MVP user-friendly portable NIR-MS (Figure 2) of SpotDetect as a solution for on-site testing of food contaminants namely aquaculture water contaminants, organic origin authenticity, fruit quality parameters and volatile organic contaminants and compounds. This will be achieved by the following objectives; SpotDetect will be /p> ol> li>Rapid and real-time (N IR-MS analysis in less than 2 minutes)/li> li>Can measure liq uid and solid foo d samples via non-contact analysis./li> li>MS component sensitive (ppt, parts per trillion), IR 1 part per million./li> li>Low weight because of the usage of unprecedented materials(patent pending, PCT/EP2021/055467) (approx. 10 kgs) hence can be easily carried across all domestic terrains/li> li>Can be handled by anyone with less or no technical knowledge – i.e., by providing application-specific capabilities and a simple outputGreen or Red (positive / negative)/li> li>Cloud-based blockchain proprietary (patent pending, EP20175456.1)technology ensures full traceability of food contamination and prevents fraud caused by data tampering./li> /ol> img styleobject-fit: contain; width: 100%; margin-top: 2rem; src./images/figure_2.jpg alt> p classfigure-description> b>Figure 2:/b> Spot detect Minimal Viable Product concept and individual compounds. /p> /div> /div> div classdiv-seperator stylemargin-top: 2rem; margin-bottom: 2.8rem;>/div> div class row> div classcol-md-6 col-12 > img classlogo-img w-100 src./images/ciedLogo.png alt> /div> div classcol-md-6 col-12 m-top-15> img classlogo-img w-100 src./images/logo_3.png alt> /div> /div> /div>/body>/html>
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