Results 71 to 80 of about 7,590 (116)

Wheat aroma biomarkers induced by saline-alkali soil: based on HS-SPME-GC-MS and molecular docking. [PDF]

Front Nutr
Zhang J, Wang H, Wang Z, Zhang B, Li H, Sun Q.   +5 more
europepmc   +1 more source

Urinary Volatilomic Signatures for Non-Invasive Detection of Lung Cancer: A HS-SPME/GC-MS Proof-of-Concept Study. [PDF]

Int J Mol Sci
Sousa P, Berenguer PH, Luís C, Câmara JS, Perestrelo R.   +4 more
europepmc   +1 more source

Analysis of volatile compounds in <i>Aglaia odorata</i> flower extracts with different possessing methods by HS-SPME-GC-MS and E-nose. [PDF]

Front Chem
Yang P, Kong L, Wang Q, Liu Q, Duan X, Hu C, Feng Z, Yang Q, Jv H.   +8 more
europepmc   +1 more source

Investigation of Volatile Compounds in Varied Types of Gardenia White Teas Utilizing HS-SPME-GC-MS and Multivariate Analysis. [PDF]

Metabolites
Zheng S, Peng C, Huang Q, Zhang K, Niu Z, Zeng G, Kang H, Chai H.   +7 more
europepmc   +1 more source

Key sweet-aroma compounds and formation mechanisms in Mengding bud yellow tea using HS-SPME-GC-MS and sensomics. [PDF]

NPJ Sci Food
Xu J, Xie M, Yang X, Zhang C, Li M, Luo P, Bian J, Guo L, Zou Y, Sun B, Tang Q.   +10 more
europepmc   +1 more source

Aroma Profiling and Sensory Association of Six Raspberry Cultivars Using HS-SPME/GC-MS and OPLS-HDA. [PDF]

Foods
Ljujić J, Anđelković B, Sofrenić I, Simić K, Vujisić L, Batić N, Ivanović S, Gođevac D.   +7 more
europepmc   +1 more source

Comparative analysis of the aroma characteristics of <i>Armillaria luteo-virens</i> under different cooking methods by HS-SPME-GC-MS and HS-GC-IMS. [PDF]

Food Chem X
Xu L, Zhang Y, Qu L, Liu Z, Pan M, Pang B, Yan Y.   +6 more
europepmc   +1 more source

Honey Botanical Origin Authentication Using HS-SPME-GC-MS Volatile Profiling and Advanced Machine Learning Models (Random Forest, XGBoost, and Neural Network). [PDF]

Foods
Pourmoradian A, Barzegar M, Carbonell-Barrachina ÁA, Noguera-Artiaga L.   +3 more
europepmc   +1 more source

Unraveling the difference in aroma characteristics of tomato flesh with different colors using HS-SPME-GC-MS/MS and <i>E</i>-nose combined with multivariate data analysis. [PDF]

Food Chem X
Xu J, Lu Y, Cui J, Liu Y, Yu W, Li C.
europepmc   +1 more source