{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:20:21Z","timestamp":1792783221486,"version":"4.5.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"30","license":[{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Empresa Brasileira De Pesquisa Agropecu\u00e1ria","id":[{"id":"https:\/\/ror.org\/0482b5b22","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Environ Sci Pollut Res"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The coconut palm (\n                    <jats:italic>Cocos nucifera<\/jats:italic>\n                    \u00a0L.) fruits continuously, and Brazilian growers apply the triazole fungicide cyproconazole via endotherapy without an established pre-harvest interval, creating a food-safety gap. We coupled a Level\u00a0IV fugacity model with Gompertz growth functions for the water and pulp compartments to predict cyproconazole residues in green coconut at three doses (1.0, 1.5, 2.0\u00a0g\u00a0palm\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$^{-1}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mmultiscripts>\n                            <mml:mrow\/>\n                            <mml:mrow\/>\n                            <mml:mrow>\n                              <mml:mo>-<\/mml:mo>\n                              <mml:mn>1<\/mml:mn>\n                            <\/mml:mrow>\n                          <\/mml:mmultiscripts>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ) and three frequencies (monthly, bimonthly, quarterly), for fruit harvested at 5\u20138\u00a0months, propagating uncertainty via Monte Carlo simulation (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$N=2000$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>N<\/mml:mi>\n                            <mml:mo>=<\/mml:mo>\n                            <mml:mn>2000<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ) and Morris sensitivity screening. The plant-tissue degradation half-life (11.5\u00a0days nominal; Pesticide Properties Database) was found to be the dominant determinant of predicted residues relative to the maximum residue limit (0.1\u00a0mg\u00a0kg\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$^{-1}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mmultiscripts>\n                            <mml:mrow\/>\n                            <mml:mrow\/>\n                            <mml:mrow>\n                              <mml:mo>-<\/mml:mo>\n                              <mml:mn>1<\/mml:mn>\n                            <\/mml:mrow>\n                          <\/mml:mmultiscripts>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ; ANVISA 2023; Codex 2023). The 1.0\u00a0g dose meets the study\u2019s safety criterion at every frequency and fruit age (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$P(C_p&gt;\\textrm{MRL})\\le 0.024$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>P<\/mml:mi>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:msub>\n                              <mml:mi>C<\/mml:mi>\n                              <mml:mi>p<\/mml:mi>\n                            <\/mml:msub>\n                            <mml:mo>&gt;<\/mml:mo>\n                            <mml:mtext>MRL<\/mml:mtext>\n                            <mml:mo>)<\/mml:mo>\n                            <mml:mo>\u2264<\/mml:mo>\n                            <mml:mn>0.024<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ); risk for 1.5 and 2.0\u00a0g is age-dependent, with younger fruit carrying higher exceedance probabilities. A probabilistic harvest-safety matrix is provided as screening-level decision support pending field-residue validation.\n                  <\/jats:p>","DOI":"10.1007\/s11356-026-38178-w","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T06:27:20Z","timestamp":1788935240000},"page":"15378-15391","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Probabilistic pre-harvest intervals for cyproconazole in green coconut production in Brazil: a Level\u00a0IV fugacity model with Monte Carlo analysis"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6799-0617","authenticated-orcid":false,"given":"Lourival Costa","family":"Para\u00edba","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,9]]},"reference":[{"issue":"4","key":"38178_CR1","doi-asserted-by":"publisher","first-page":"e21627","DOI":"10.5424\/sjar\/2025234-21627","volume":"23","author":"LS Ahmed","year":"2025","unstructured":"Ahmed LS (2025) Evaluation of growth curves in three local quail lines using four diverse non-linear models. 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This study did not involve human participants.","order":2,"name":"Ethics","label":"Consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable. This study did not involve human participants or any material requiring consent for publication.","order":3,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The author declares no competing interests.","order":4,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Generative artificial intelligence tools (Claude, Anthropic; DeepSeek) were used extensively during the preparation and revision of this manuscript. This assistance included the following: drafting and revising text across all sections, including in response to editor and reviewer comments; writing, executing, and debugging the Python\u00a03.12 code implementing the Level\u00a0IV fugacity model, the Monte Carlo uncertainty analysis, the Morris global sensitivity screening, and the multi-seed convergence analysis reported in the \u201c\n                      \n                      \u201d\u2013\u201c\n                      \n                      \u201d sections; generating Fig.\u00a0\n                      \n                      (composite concentration-curve panel) from the underlying model output; and verifying, correcting, and reformatting the reference list, including identifying and correcting citation errors (incorrect authors, years, volumes, pages, and DOIs) present in earlier drafts of this manuscript. The author directed this work throughout, specified all scientific questions and modelling decisions, and reviewed, validated, and takes full responsibility for all code, numerical results, text, and conclusions in the final manuscript. No AI tool is listed as an author or made independent scientific judgments, hypotheses, or interpretive decisions without the author\u2019s review and approval.","order":5,"name":"Ethics","label":"Use of artificial intelligence","group":{"name":"EthicsHeading","label":"Declarations"}}]}}