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ASSERT: A Platform Technology for Rapid Electrochemical Sensing of Soil Ammonium.
Eldeeb, Mohammed A; Dhamu, Vikram Narayanan; Paul, Anirban; Alam, Firas Maqsood; Burgos, E Natalie; Muthukumar, Sriram; Prasad, Shalini.
Affiliation
  • Eldeeb MA; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Dhamu VN; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Paul A; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Alam FM; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Burgos EN; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
  • Muthukumar S; EnLiSense LLC, Allen, Texas 75013, United States.
  • Prasad S; Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
ACS Omega ; 9(31): 33928-33934, 2024 Aug 06.
Article in En | MEDLINE | ID: mdl-39130543
ABSTRACT
The world is facing a food shortage predicament largely fueled by inefficient, outdated farming conventions that are passed down from generation to generation. Overfertilization is one of the major byproducts of inadequate farming techniques. This leads to an imbalance in the soil ecosystem, affecting carbon sequestration, plant-available nutrients, and microorganisms. Sustainable agriculture, on the other hand, efficiently uses the soil with minimal fertilizer and crop rotation to prevent soil erosion. This method requires real-time information on the soil's health. An electrochemical ion-selective electrode (ISE) is presented to measure soil ammonium in situ. The sensor utilized electrochemical impedance spectroscopy for direct, continuous soil ammonium measurement without any soil pretreatment. The ISE is applied by drop-casting onto the working electrode. The sensor response was calibrated against the three main different soil textures (clay, sandy loam, and loamy clay) to cover the entirety of the soil texture triangle. The linear regression models showed an ammonium-dependent response with Pearson r > 0.991 for the various soil textures in the range of 2-32 ppm. The sensor response was validated against the gold standard spectrophotometric method after KCl extraction showed a less than 20% error rate between the measured ammonium and reference ammonium. A 16 day in situ soil study showed the capability of the sensor to measure soil ammonium in a temporally dynamic manner with a coefficient of variance of 11%, showing robust stability for in situ monitoring.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Omega Year: 2024 Document type: Article Affiliation country: Country of publication: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Omega Year: 2024 Document type: Article Affiliation country: Country of publication: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA