This study conducted a nontargeted screening of food contact paper products, including samples with seven usage types and made from six distinct materials. By using an optimized headspace SPME GC-QTOF MS method, 277 volatiles were identified in 70 samples. Chemometric analysis revealed significant variations among the samples. A total of 30 main odorants and 18 odor contributors, including substances with positive or negative odors, were identified. A risk scoring scheme was developed to identify 33 high-risk substances rapidly, and the distribution characteristics of these substances in different samples were further studied. The potential origins of the main odorants and high-risk substances were traced to raw materials and intentionally or unintentionally added substances. Correlation analysis indicated that several high-risk substances with highly significant correlations coexisted in the samples. Overall, this study provides valuable insights for the food contact paper industry and supports efforts to enhance food safety and consumer health protection.

2025-10-01·FOOD CHEMISTRY

Flavor characterization of aged Citri Reticulatae Pericarpium from core regions: An integrative approach utilizing GC-IMS, GC–MS, E-nose, E-tongue, and chemometrics

Article

作者: Yang, Jiguo ; Liu, Haocheng ; Xu, Yujuan ; Si, Weili ; Wu, Jijun ; Fu, Manqin ; Yu, Yuanshan

This study utilized GC-MS, GC-IMS, E-nose, and E-tongue to analyze the flavor characteristics of Guangchenpi (GCP) from five core producing areas aged 5 to 40 years. Key findings include: W1W, W2S, and W5S sensors in the e-nose and bitter, umami, sweet, sour, and astringent tastes in the e-tongue were pivotal. A total of 219 VOCs were identified, with 43 characteristic VOCs screened out using PLS-DA. The flavor compounds exhibited a 'Λ'-shaped change, peaking at the age of 30 years. Aging had a greater influence on flavor than origin, with Tianma origin (TM) samples exhibiting the strongest flavor. Among seven machine learning prediction models developed, the Random Forest (RF) model showed optimal performance, achieving 100 % accuracy in geographical origin discrimination and 96 % accuracy in aging year prediction. Key characteristic factors including isopropanol and 5-methyl-2(3H)-furanone were validated through the top 10 critical features, confirming model interpretability.

2025-10-01·BIOCHEMICAL SYSTEMATICS AND ECOLOGY

Influence of altitudinal variation on the chemodiversity and in-vitro antioxidant potential of essential oils of Micromeria biflora (Buch. -Ham. ex D. Don) Benth. from Uttarakhand, India

作者: Tewari, Lalit M. ; Joshi, Manisha ; Gangwar, Aabha ; Pandey, Hemant K. ; Pande, Chitra ; Kharkwal, Girish C. ; Bisht, Mamta ; Tewari, Geeta

Micromeria biflora, a valuable medicinal herb of the family Lamiaceae, is abundantly present in different regions of Uttarakhand, India.The essential oils extracted by hydrodistillation were analyzed by GC-FID and GC-MS and 99.6 %, 96.2 %, 97.8 %, and 99.0 % of essential oil were identified in the samples from Pithoragarh (MBP), Champawat (MBC), Nainital (MBN) and Almora (MBA), resp.The essential oil composition was significantly affected by locations and altitude, as camphor (61.0 %) was dominant in MBP, β-(E)-caryophyllene was dominant in MBC (32.9 %) and MBA (42.6 %), while germacrene D-4-ol (33.4 %) in MBN.Camphor and germacrene-D-4-ol were identified for the first time in this study.The antioxidant potential was measured by DPPH, ABTS scavenging and metal chelation assays.It was observed that the oil yield and IC₅₀ values were inversely proportional to altitude.M. biflora collected at the lowest altitude (MBP) showed the highest oil yield and significant antioxidant properties, making it a promising source of camphor.In-silico mol. docking along with pass prediction and the Lipinski rule were also analyzed.

100 项与 β-Bisabolene 相关的药物交易

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