更智能的軟件
1：EXPLORER 9000 便攜式X熒光光譜儀配有針對土壤污染物的應用軟件，具有智能化、高靈敏度、測試時間短、自動判斷是否超標、操作簡易、可實現邊測邊打功能等特點。
2：全新的智能軟件，一鍵智能操作，采用雙模設計（用戶模式和模式）。用戶模式一鍵檢測標準土壤重金屬元素；模式可進行增加元素，增加特定曲線等深入分析操作。
3：內置強度校正方法，校正幾何狀態不同和結構密度不均勻的樣品造成的偏差。

鋼研納克 NX-200土壤重金屬分析儀能量色散Ｘ射線熒光光譜法測定土壤
１．１　主要儀器與樣品
能量色散Ｘ射線熒光光譜儀（鋼研納克檢測技術有限公司）：銠靶光管（功率５０Ｗ，１．５ｍＡ），ＦａｓｔＳＤＤ探測器（在５．８８９ｋｅＶ 處分辨率是１２８ｅＶ）；
ＸＲＦ樣品杯（高度２２ｍｍ，直徑２４ｍｍ，ＣｈｅｍｐｌｅｘＩｎｄｕｓｔｒｉｅｓ）；瑪瑙研缽；標準篩。
土壤成分分析標準物質：ＧＳＳ２（ＧＢＷ０７４０２）、
ＧＳＳ３（ＧＢＷ０７４０３）、ＧＳＳ４（ＧＢＷ０７４０４）、ＧＳＳ５
（ＧＢＷ０７４０５ ）、ＧＳＳ６ （ＧＢＷ０７４０６ ）、ＧＳＳ７
（ＧＢＷ０７４０７）、ＧＳＳ８ （ＧＢＷ０７４０８）、ＧＳＳ１２
（ＧＢＷ０７４１２）；水系沉積物成分分析標準物質：
ＧＳＤ－３ａ（ＧＢＷ０７３０３ａ）、ＧＳＤ－５ａ（ＧＢＷ０７３０５ａ）、
ＧＳＤ－８ａ（ＧＢＷ０７３０８ａ）、ＧＳＤ－１０（ＧＢＷ０７３１０）、ＧＳＤ－１１（ＧＢＷ０７３１１）、ＧＳＤ－１２（ＧＢＷ０７３１２）；巖石成分分
析標準物質：ＧＳＲ－５（ＧＢＷ０７１０７）。

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.