{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T05:18:19Z","timestamp":1787980699634,"version":"build-2784847793"},"reference-count":28,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["ift.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Food Science"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:label\/>\n                    <jats:p>\n                      The solid\u2010state fermentation of Jiangxiangxing Baijiu exhibits marked spatiotemporal heterogeneity in microbial communities and physicochemical parameters. We characterized the microbial succession and physicochemical dynamics of Zaopei (fermented grains) across Da\u2010hui rounds (Rounds 3\u20135) and applied LimiX, a Transformer\u2010based deep learning framework, for fermentation state monitoring. Spatial stratification explained 99% of microbial community variance (PERMANOVA,\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.001), with inner layers harboring greater bacterial diversity than surface layers.\n                      <jats:italic>Staphylococcus<\/jats:italic>\n                      and\n                      <jats:italic>Weissella<\/jats:italic>\n                      correlated negatively with starch and reducing sugar, while\n                      <jats:italic>Oceanobacillus<\/jats:italic>\n                      and\n                      <jats:italic>Acetobacter<\/jats:italic>\n                      strongly discriminated among rounds. LimiX achieved an AUC of 1.000 for round classification and outperformed GLM and Random Forest (RF) in discriminating fermentation layers. External validation yielded 100% accuracy for round differentiation and 92.86% for temporal stage prediction. SHAP analysis identified\n                      <jats:italic>Klebsiella<\/jats:italic>\n                      and\n                      <jats:italic>Thermoascus<\/jats:italic>\n                      as the primary drivers of spatial and temporal stratification, respectively. These results demonstrate the capability of deep learning to decode complex fermentation data and provide a theoretical and technical basis for the intelligent digitalization of Baijiu production.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical Applications<\/jats:title>\n                    <jats:p>A Transformer\u2010based deep learning model was developed to integrate amplicon sequencing data and physicochemical indices for decoding the spatiotemporal dynamics of fermented grains in Jiangxiangxing Baijiu fermentation. This framework supports intelligent process monitoring and quality control, with potential applicability to other complex food fermentation systems.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1750-3841.71316","type":"journal-article","created":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T03:05:13Z","timestamp":1787195113000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deciphering Spatiotemporal Dynamics of Fermented Grains in the Jiangxiangxing Baijiu Production Process: Insights From a Transformer\u2010Based Deep Learning Model"],"prefix":"10.1111","volume":"91","author":[{"given":"YingYu","family":"Huo","sequence":"first","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"},{"name":"Guizhou Technology Innovation Center of Jiangxiangxing Baijiu  Guizhou Province, Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"GangReng","family":"Yang","sequence":"additional","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"XuJian","family":"Wu","sequence":"additional","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"},{"name":"Engineering Technology Research Center for Intelligent Brewing of Jiangxiangxing Baijiu China National Light Industry Council  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9238-0452","authenticated-orcid":false,"given":"Xing","family":"Zhao","sequence":"additional","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Wu","sequence":"additional","affiliation":[{"name":"Guizhou Technology Innovation Center of Jiangxiangxing Baijiu  Guizhou Province, Xishui China"},{"name":"Engineering Technology Research Center for Intelligent Brewing of Jiangxiangxing Baijiu China National Light Industry Council  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JunQiao","family":"Long","sequence":"additional","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"DaChao","family":"Zhu","sequence":"additional","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Li","sequence":"additional","affiliation":[{"name":"Guizhou Xijiu Co., Ltd  Xishui China"},{"name":"Engineering Technology Research Center for Intelligent Brewing of Jiangxiangxing Baijiu China National Light Industry Council  Xishui China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,19]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"crossref","unstructured":"Belkadi S. 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