ArticleFoods (Basel, Switzerland)2021
Untargeted Headspace-Gas Chromatography-Ion Mobility Spectrometry in Combination with Chemometrics for Detecting the Age of Chinese Liquor (Baijiu).
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Differentiation of Chinese rice wine(Huangjiu) from different aging status based on HS-SPME-GC-MS combined with near infrared.Food chemistry: X · 2025Article
- Aroma Release and Consumer Perception During Cider Consumption.Foods (Basel, Switzerland) · 2025Article
- Advancing Stable Isotope Analysis for Alcoholic Beverages' Authenticity: Novel Approaches in Fraud Detection and Traceability.Foods (Basel, Switzerland) · 2025Review
- Evolution of aroma compounds in round soy sauce aroma type baijiu during aging and the effect of aging markers on the lasting aroma in finished glass.Food chemistry: X · 2025Article
- Article
- Chemical Composition and Flavor Characteristics of Cider Fermented withFoods (Basel, Switzerland) · 2023Article
- Synergy of physicochemical reactions occurred during aging for harmonizing and improving flavor.Food chemistry: X · 2023Review
- Application of GC-IMS coupled with chemometric analysis for the classification and authentication of geographical indication agricultural products and food.Frontiers in nutrition · 2023Review
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Authors and funding
9 authors.
Funding
Abstract
This paper proposes the combination of headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and chemometrics as a method to detect the age of Chinese liquor (Baijiu). Headspace conditions were optimized through single-factor optimization experiments. The optimal sample preparation involved diluting Baijiu with saturated brine to 15% alcohol by volume. The sample was equilibrated at 70 °C for 30 min, and then analyzed with 200 μL of headspace gas. A total of 39 Baijiu samples from different vintages (1998-2019) were collected directly from pottery jars and analyzed using HS-GC-IMS. Partial least squares regression (PLSR) analysis was used to establish two discriminant models based on the 212 signal peaks and the 93 identified compounds. Although both models were valid, the model based on the 93 identified compounds discriminated the ages of the samples more accurately according to the goodness of fit value (R
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