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Differentiation of Geographical Origin of Black Tea Using Μ- Cte with Td–Gc–Ms Method in Combination with Decision Tree-Optimizable Neural Network Analysis

https://doi.org/10.2139/ssrn.4599456
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An overview of the use of neural networks for data mining tasks
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Characterization of the key aroma compounds in three world-famous black teas
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Determination of odor-active compounds from Phoebe neurantha (Hemsl.) Gamble and Osmanthus fragrans (Thunb.) Lour. by GC–MS/O and micro-chamber combined with Tenax TA and multi-bed tubes
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Understanding Darjeeling tea flavour on a molecular basis
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Classification of Pecorino cheeses using electronic nose combined with artificial neural network and comparison with GC–MS analysis of volatile compounds
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Aroma characterization of regional Cascade and Chinook hops (Humulus lupulus L.)
inferredcites →https://doi.org/10.1016/j.foodchem.2021.131658openalex-extracted
Physicochemical parameters combined flash GC e-nose and artificial neural network for quality and volatile characterization of vinegar with different brewing techniques
inferredcites →https://doi.org/10.1016/j.foodchem.2021.131713openalex-extracted
Recent techniques for the authentication of the geographical origin of tea leaves from camellia sinensis: A review
inferredcites →https://doi.org/10.1016/j.foodres.2019.03.009openalex-extracted
Identification and quantification of key odorants in the world’s four most famous black teas
inferredcites →https://doi.org/10.1016/j.foodres.2022.110974openalex-extracted
Prediction of bitterant and sweetener using structure-taste relationship models based on an artificial neural network
inferredcites →https://doi.org/10.1016/j.jfca.2004.03.022openalex-extracted
Tea variety and brewing techniques influence flavonoid content of black tea
inferredcites →https://doi.org/10.1016/j.lwt.2018.04.091openalex-extracted
Rapid profiling of volatile compounds in green teas using Micro-Chamber/Thermal Extractor combined with thermal desorption coupled to gas chromatography-mass spectrometry followed by multivariate statistical analysis
inferredcites →https://doi.org/10.1016/j.talanta.2016.01.050openalex-extracted
Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS
inferredcites →https://doi.org/10.1016/s0167-4501(06)80036-1openalex-extracted
Aroma compounds in black tea powders of different origins—changes induced by preparation of the infusion
inferredcites →https://doi.org/10.1016/s0933-3657(02)00086-6openalex-extracted
A combined neural network and decision trees model for prognosis of breast cancer relapse
inferredcites →https://doi.org/10.1021/acsomega.9b03500openalex-extracted
Adsorbent-SERS Technique for Determination of Plant VOCs from Live Cotton Plants and Dried Teas
inferredcites →https://doi.org/10.1080/00032719.2019.1700270openalex-extracted
Characterization of Fatty Acids in Cereals and Oilseeds from the Republic of Serbia by Gas Chromatography – Mass Spectrometry (GC/MS) with Chemometrics
inferredcites →https://doi.org/10.1109/imtc.2011.5944018openalex-extracted
Classification of the green tea varieties based on Support Vector Machines using Terahertz spectroscopy
inferredcites →https://doi.org/10.1111/1541-4337.12999openalex-extracted
Flavor of tea ( Camellia sinensis ): A review on odorants and analytical techniques
inferredcites →https://doi.org/10.1111/jfpp.16445openalex-extracted
Detailed temperature‐dependent study of linoleic acid oxidative decomposition into volatile compounds in the heating process
inferredcites →https://doi.org/10.1126/science.3.77.896.bopenalex-extracted
The Missouri Botanical Garden
inferredcites →https://doi.org/10.1631/jzus.b1200086openalex-extracted
Volatile profile analysis and quality prediction of Longjing tea (Camellia sinensis) by HS-SPME/GC-MS
inferredcites →https://doi.org/10.3390/agriculture11111106openalex-extracted
Reliable Identification of Oolong Tea Species: Nondestructive Testing Classification Based on Fluorescence Hyperspectral Technology and Machine Learning
inferredcites →https://doi.org/10.3390/computers11080121openalex-extracted
A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning
inferredcites →https://doi.org/10.3390/foods10040795openalex-extracted
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose
inferredcites →https://doi.org/10.3390/foods11091228openalex-extracted
Dynamic Changes in Volatile Compounds of Shaken Black Tea during Its Manufacture by GC × GC–TOFMS and Multivariate Data Analysis
inferredcites →https://doi.org/10.4238/2014.april.14.10openalex-extracted
Development and characterization of single nucleotide polymorphism markers in Camellia sinensis (Theaceae)
inferredcites →https://doi.org/10.5376/jtsr.2014.04.0002openalex-extracted
Effect of Genotypes in Different Environments on Micronutrient Content of Black Tea
inferredcites →https://doi.org/10.5897/ajbr.9000260openalex-extracted
Variation in antioxidant and aroma compounds at different altitude: A study on tea (Camellia sinensis L. Kuntze) clones of Darjeeling and Assam, India
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