{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:49:59Z","timestamp":1776109799196,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T00:00:00Z","timestamp":1635379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents a microwave sensor based on a two-ports network for liquid characterizations. The proposed sensor is constructed as a miniaturized microwave resonator based on Moore fractal geometry of the 4th iteration. The T-resonator is combined with the proposed structure to increase the sensor quality factor. The proposed sensor occupies an area of 50 \u00d7 50 \u00d7 1.6 mm3 printed on an FR4 substrate. Analytically, a theoretical study is conducted to explain the proposed sensor operation. The proposed sensor was fabricated and experimentally tested for validation. Later, two pans were printed on the sensor to hold the Sample Under Test (SUT) of crude oil. The frequency resonance of the proposed structure before loading SUT was found to be 0.8 GHz. After printing the pans, a 150 MHz frequency shift was accrued to the first resonance. The sensing part was accomplished by monitoring the S-parameters in terms of S12 regarding the water concentration change in the crude oil samples. Therefore, 10 different samples with different water percentages were introduced to the proposed sensor to be tested for detecting the water content. Finally, the measurements of the proposed process were found to agree very well with their relative simulated results.<\/jats:p>","DOI":"10.3390\/s21217143","type":"journal-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T23:52:35Z","timestamp":1635465155000},"page":"7143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["A New Microwave Sensor Based on the Moore Fractal Structure to Detect Water Content in Crude Oil"],"prefix":"10.3390","volume":"21","author":[{"given":"Russul Khalid","family":"Abdulsattar","sequence":"first","affiliation":[{"name":"Electrical Engineering Department, Mustansiriyah University, Baghdad 1004, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taha A.","family":"Elwi","sequence":"additional","affiliation":[{"name":"Communication Engineering Department, Al-Ma\u2019moon University College, Baghdad 1004, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zaid A.","family":"Abdul Hassain","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Mustansiriyah University, Baghdad 1004, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Abdulkarim, Y.I., Deng, L., Karaaslan, M., Dalga\u00e7, \u015e., Mahmud, R.H., Ozkan Alkurt, F., Muhammadsharif, F.F., Awl, H.N., Huang, S., and Luo, H. 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