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IDC compromises iron uptake in crops such as soybean (\n                      <jats:italic>Glycine max<\/jats:italic>\n                      ). To improve the effect of iron fertilisers, we sought to develop a nanotechnology-based intervention using polymeric nanoparticles (NPs) loaded with Fe(dmpp)\n                      <jats:sub>3<\/jats:sub>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Nanoparticles were loaded with a fluorophore to understand their uptake by soybean. Nanoparticles\u2019 physicochemical and release properties were examined. The work comprises a seed soaking study considering untreated plants, and Fe(dmpp)\n                      <jats:sub>3<\/jats:sub>\n                      solutions or nanosuspensions (NSs) (10 and 20\u00a0\u00b5M).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Plants treated with 20\u00a0\u00b5M NS showed an improvement in morpho-physiological traits and an increase in relevant gene expression\n                      <jats:italic>vs<\/jats:italic>\n                      control. They reached V1 stage 2.5\u00a0days faster and V3 2.8\u00a0days faster; had a 26% higher SPAD values at stage V3; developed roots that had 39% higher total fresh weight and shoots that were 26% heavier; and registered a 2.25-fold increase in root\n                      <jats:italic>IRT1<\/jats:italic>\n                      expression and a 3.37-fold increase in leaf\n                      <jats:italic>ferritin<\/jats:italic>\n                      expression. Treatment with 10\u00a0\u00b5M NS led to a 3.31-fold increase in\n                      <jats:italic>ferritin<\/jats:italic>\n                      expression\n                      <jats:italic>vs<\/jats:italic>\n                      control and a 2.49-fold increase\n                      <jats:italic>vs<\/jats:italic>\n                      Fe(dmpp)\n                      <jats:sub>3<\/jats:sub>\n                      solution at 10\u00a0\u00b5M.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      The results illustrate the potential of NPs as a seed-soaking agent, promoting plant growth, reducing IDC, and activating molecular-level iron availability responses. Notably, this is the first study attempting to monitor the mobility of fluorescent NPs in soybean plants and the first in employing NPs as nanocarriers of Fe(dmpp)\n                      <jats:sub>3<\/jats:sub>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s11104-025-07462-y","type":"journal-article","created":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T02:13:20Z","timestamp":1745979200000},"page":"1263-1283","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Novel polymeric nanoparticles as nanofertilisers for alkaline iron-deficient conditions"],"prefix":"10.1007","volume":"514","author":[{"given":"Sim\u00e3o","family":"Pinho","sequence":"first","affiliation":[]},{"given":"Carla","family":"Santos","sequence":"additional","affiliation":[]},{"given":"T\u00e2nia","family":"Moniz","sequence":"additional","affiliation":[]},{"given":"Andreia","family":"Granja","sequence":"additional","affiliation":[]},{"given":"Mafalda","family":"Sarragu\u00e7a","sequence":"additional","affiliation":[]},{"given":"Salette","family":"Reis","sequence":"additional","affiliation":[]},{"given":"Maria","family":"Rangel","sequence":"additional","affiliation":[]},{"given":"Marta","family":"Vasconcelos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,30]]},"reference":[{"key":"7462_CR1","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.3389\/fpls.2018.01002","volume":"9","author":"G Bai","year":"2018","unstructured":"Bai G, Jenkins S, Yuan W, Graef GL, Ge Y (2018) Field-Based scoring of soybean iron deficiency chlorosis using RGB imaging and statistical learning. 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