Jiahui He, Xiaojing Han, Yunlu Jiang, Aoyu Ren, Zhengyang Yang, Zhenyu Zhang, Mei Wang, Bin Yang, Minzhen Yin*, Huasheng Peng* and Luqi Huang*,
{"title":"植物中锶同位素特征研究:为食品产地溯源提供参考。","authors":"Jiahui He, Xiaojing Han, Yunlu Jiang, Aoyu Ren, Zhengyang Yang, Zhenyu Zhang, Mei Wang, Bin Yang, Minzhen Yin*, Huasheng Peng* and Luqi Huang*, ","doi":"10.1021/acs.jafc.5c05277","DOIUrl":null,"url":null,"abstract":"<p >Tracing agricultural products’ origin via <sup>87</sup>Sr/<sup>86</sup>Sr is critical for food quality. This study identifies optimal proxy samples for baseline maps by analyzing Sr isotopes in three vegetation life-forms (perennial herbs, shrubs, trees) and their soils under diverse parent materials. The results indicate significant differences in Sr-isotopic composition between roots and soils, likely due to the heterogeneous geological origin of eolian soils. Trees and shrubs grown on residual parent materials exhibit homogeneous isotopic signatures across organs, with <sup>87</sup>Sr/<sup>86</sup>Sr ratios strongly correlated (<i>R</i><sup>2</sup> > 0.85) with mixed surface vegetation samples. Thus, this study demonstrates that <sup>87</sup>Sr/<sup>86</sup>Sr isoscapes constructed from multispecies vegetation sampling overcome methodological constraints arising from seasonal variations in agricultural traceability. These findings establish a theoretical foundation for a cross-plant-type origin-tracing framework capable of harmonizing divergent crop data sets and have implications for refining the methodology of botanical Sr sourcing.</p>","PeriodicalId":41,"journal":{"name":"Journal of Agricultural and Food Chemistry","volume":"73 33","pages":"20745–20755"},"PeriodicalIF":6.2000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Strontium Isotope Characteristics in Plants: Providing Reference for Food Production Area Traceability\",\"authors\":\"Jiahui He, Xiaojing Han, Yunlu Jiang, Aoyu Ren, Zhengyang Yang, Zhenyu Zhang, Mei Wang, Bin Yang, Minzhen Yin*, Huasheng Peng* and Luqi Huang*, \",\"doi\":\"10.1021/acs.jafc.5c05277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Tracing agricultural products’ origin via <sup>87</sup>Sr/<sup>86</sup>Sr is critical for food quality. This study identifies optimal proxy samples for baseline maps by analyzing Sr isotopes in three vegetation life-forms (perennial herbs, shrubs, trees) and their soils under diverse parent materials. The results indicate significant differences in Sr-isotopic composition between roots and soils, likely due to the heterogeneous geological origin of eolian soils. Trees and shrubs grown on residual parent materials exhibit homogeneous isotopic signatures across organs, with <sup>87</sup>Sr/<sup>86</sup>Sr ratios strongly correlated (<i>R</i><sup>2</sup> > 0.85) with mixed surface vegetation samples. Thus, this study demonstrates that <sup>87</sup>Sr/<sup>86</sup>Sr isoscapes constructed from multispecies vegetation sampling overcome methodological constraints arising from seasonal variations in agricultural traceability. These findings establish a theoretical foundation for a cross-plant-type origin-tracing framework capable of harmonizing divergent crop data sets and have implications for refining the methodology of botanical Sr sourcing.</p>\",\"PeriodicalId\":41,\"journal\":{\"name\":\"Journal of Agricultural and Food Chemistry\",\"volume\":\"73 33\",\"pages\":\"20745–20755\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agricultural and Food Chemistry\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.jafc.5c05277\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural and Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jafc.5c05277","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Study on Strontium Isotope Characteristics in Plants: Providing Reference for Food Production Area Traceability
Tracing agricultural products’ origin via 87Sr/86Sr is critical for food quality. This study identifies optimal proxy samples for baseline maps by analyzing Sr isotopes in three vegetation life-forms (perennial herbs, shrubs, trees) and their soils under diverse parent materials. The results indicate significant differences in Sr-isotopic composition between roots and soils, likely due to the heterogeneous geological origin of eolian soils. Trees and shrubs grown on residual parent materials exhibit homogeneous isotopic signatures across organs, with 87Sr/86Sr ratios strongly correlated (R2 > 0.85) with mixed surface vegetation samples. Thus, this study demonstrates that 87Sr/86Sr isoscapes constructed from multispecies vegetation sampling overcome methodological constraints arising from seasonal variations in agricultural traceability. These findings establish a theoretical foundation for a cross-plant-type origin-tracing framework capable of harmonizing divergent crop data sets and have implications for refining the methodology of botanical Sr sourcing.
期刊介绍:
The Journal of Agricultural and Food Chemistry publishes high-quality, cutting edge original research representing complete studies and research advances dealing with the chemistry and biochemistry of agriculture and food. The Journal also encourages papers with chemistry and/or biochemistry as a major component combined with biological/sensory/nutritional/toxicological evaluation related to agriculture and/or food.