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Among these, aroma is particularly important for consumer preference, and it results from a complex interplay of numerous volatile compounds. Conventional sensory methods, such as descriptive analysis (DA) performed by trained panels, offer valuable insights but are often time-consuming, resource-intensive, and subject to individual variability. Recent advances in sensor technologies\u2014including electronic nose (E-nose) and electronic tongue (E-tongue)\u2014combined with chemometric techniques and machine learning algorithms, offer more efficient, objective, and predictive approaches to wine aroma profiling. These tools integrate analytical and sensory data to predict aromatic characteristics and quality traits across diverse wine styles. Complementary techniques, including gas chromatography (GC), near-infrared (NIR) spectroscopy, and quantitative structure\u2013odor relationship (QSOR) modeling, when integrated with multivariate statistical methods such as partial least squares regression (PLSR) and neural networks, have shown high predictive accuracy in assessing wine aroma and quality. Such approaches facilitate real-time monitoring, strengthen quality control, and support informed decision-making in enology. However, aligning instrumental outputs with human sensory perception remains a challenge, highlighting the need for further refinement of hybrid models. This review highlights the emerging role of predictive modeling and sensor-based technologies in advancing wine aroma evaluation and quality management.<\/jats:p>","DOI":"10.3390\/chemosensors13090337","type":"journal-article","created":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T12:18:18Z","timestamp":1757074698000},"page":"337","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["From Volatile Profiling to Sensory Prediction: Recent Advances in Wine Aroma Modeling Using Chemometrics and Sensor Technologies"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5924-1050","authenticated-orcid":false,"given":"Fernanda","family":"Cosme","sequence":"first","affiliation":[{"name":"Chemistry Research Centre-Vila Real (CQ-VR), University of Tr\u00e1s-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1615-2418","authenticated-orcid":false,"given":"Alice","family":"Vilela","sequence":"additional","affiliation":[{"name":"Chemistry Research Centre-Vila Real (CQ-VR), University of Tr\u00e1s-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal"}]},{"given":"Ivo","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Inov4Agro, Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production, University of Tr\u00e1s-of-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6291-8413","authenticated-orcid":false,"given":"Alfredo","family":"Aires","sequence":"additional","affiliation":[{"name":"Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Inov4Agro, Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production, University of Tr\u00e1s-of-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4945-6741","authenticated-orcid":false,"given":"Teresa","family":"Pinto","sequence":"additional","affiliation":[{"name":"Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Inov4Agro, Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production, University of Tr\u00e1s-of-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5764-024X","authenticated-orcid":false,"given":"Berta","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Inov4Agro, Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production, University of Tr\u00e1s-of-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1016\/j.foodres.2011.04.022","article-title":"Volatile and sensory characterization of red wines from cv. 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