钢研纳克转型得益于“应用”基因 这一阵，钢研纳克检测技术有限公司（以下简称“钢研纳克”）重金属检测仪生产线忙得不可开交。“今天早晨我们还在开会，研究扩大重金属检测仪的产能。” 钢研纳克检测技术有限公司副总经理陈吉文说。今年开始，随着土壤普查项目的启动，第三方检测机构对土壤重金属检测仪的需求迅速升温，体现在了钢研纳克的供不应求。“在环境领域，我们的重点是重金属和VOCs监测。”陈吉文说。 对于土壤检测，因为其工作量大，对效率的要求较高，对可现场操作、方便迅捷的快检设备需求在也升温。尽管没有进入**下达的土壤普查技术文档，但无须对样品进行前处理的XRF因其便于使用的优势，快速进入了土壤检测领域。钢研纳克的XRF产品土壤重金属检测仪就是其代表之一。钢研纳克NX-200系列土壤重金属检测仪。 土壤重金属测定仪是一款土壤重金属快速检测仪器。该土壤重金属测定仪可以检测土壤中的多种重金属元素，如Pb、Cd、Hg、As、Cu、Cr6+、Al、Zn等金属元素，还具有检测速度快，检测准确度高等特点。主要用于土壤中重金属元素检测工作，在土壤污染调研、研究中有着重要的应用。 钢研纳克重金属检测仪参与起草行业标准和团体标准两项，获得了中国分析测试仪器奖、朱良漪分析仪器奖、中国**奖、BCEIA金奖等奖项，2018年入选国家博物馆“”40年大型成就展。NX-200S便携式土壤重金属检测仪能有效应对国标GB15618《土壤环境质量 农用地土壤污染风险管控标准》限定的八种重金属检测需求，央企，上市公司，品质保证！ Multi-elemental Analysis by NCS NX-200 Energy Dispersion X-ray Fluorescence Spectrometry and Its Application on the Traceability of Soybean Origin a College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China b Institute of Quality Standard and Testing Technology for Agro-products, Chinese Academy of Agricultural Sciences, and Key Laboratory of Agro-food Safety and Quality, Ministry of Agriculture and Rural Affairs, Beijing 100081, China Accepted: Feb. 6, 2020; Published: Feb. 25, 2020. Considering the lower analytical sensitivity, numerous ED-XRF manufacturers are committed to improve the instrumental performance.37 For example, the NX-100S ED-XRF from NCS Testing Technology Co., Ltd.(Beijing, China) have been reported to detect Cd in soil and food samples as low as < 0.1 mg kg-1. These ED-XRF instruments can be attached to a car or be loaded into a special suitcase for on-site use with a battery. Therefore, in this work, a miniaturized ED-XRF was used for the multi-elemental analysis of soybean samples from five main producing areas in northern China (the Heilongjiang, Liaoning, Inner Mongolia, Xinjiang, and Henan provinces) after establishing instrumental optimization and calibration. To analyze the analytical results, the multi-layer perceptron belonging to artificial neural network was carefully studied and utilized to establish a provenance model. The ED-XRF proved to be effective and efficient to measure micro and trace multi-elements for the fast identification of soybean origin.
