Qualitative and quantitative assessment of flavor quality of Chinese soybean paste using multiple sensor technologies combined with chemometrics and a data fusion strategy
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Title
Qualitative and quantitative assessment of flavor quality of Chinese soybean paste using multiple sensor technologies combined with chemometrics and a data fusion strategy
Authors
Keywords
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Journal
FOOD CHEMISTRY
Volume 405, Issue -, Pages 134859
Publisher
Elsevier BV
Online
2022-11-07
DOI
10.1016/j.foodchem.2022.134859
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Note: Only part of the references are listed.- Toward the Development of Combined Artificial Sensing Systems for Food Quality Evaluation: A Review on the Application of Data Fusion of Electronic Noses, Electronic Tongues and Electronic Eyes
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- (2019) Chunxia Dai et al. JOURNAL OF FOOD PROCESS ENGINEERING
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- Associations between food neophobia and responsiveness to “warning” chemosensory sensations in food products in a large population sample
- (2018) M. Laureati et al. FOOD QUALITY AND PREFERENCE
- Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy
- (2018) Min Xu et al. JOURNAL OF FOOD ENGINEERING
- E-nose, e-tongue and e-eye for edible olive oil characterization and shelf life assessment: A powerful data fusion approach
- (2018) Susanna Buratti et al. TALANTA
- An integrated metagenomic/metaproteomic investigation of microbiota in dajiang-meju, a traditional fermented soybean product in Northeast China
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- Data fusion of electronic eye and electronic tongue signals to monitor grape ripening
- (2018) Giorgia Orlandi et al. TALANTA
- Assessing wine sensory attributes using Vis/NIR
- (2016) José Antonio Cayuela et al. EUROPEAN FOOD RESEARCH AND TECHNOLOGY
- Evaluation of umami taste in mushroom extracts by chemical analysis, sensory evaluation, and an electronic tongue system
- (2016) Chanvorleak Phat et al. FOOD CHEMISTRY
- Microbial communities related to sensory attributes in Korean fermented soy bean paste ( doenjang )
- (2016) Min Jung Kim et al. FOOD RESEARCH INTERNATIONAL
- Data fusion methodologies for food and beverage authentication and quality assessment – A review
- (2015) Eva Borràs et al. ANALYTICA CHIMICA ACTA
- Qualification and quantisation of processed strawberry juice based on electronic nose and tongue
- (2015) Shanshan Qiu et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Classification of Sparkling Wine Style and Quality by MIR Spectroscopy
- (2015) Julie Culbert et al. MOLECULES
- Electronic tongue system to evaluate flavor of soybean (Glycine Max (L.) Merrill) genotypes
- (2014) Sandra Maria Zoldan et al. BRAZILIAN ARCHIVES OF BIOLOGY AND TECHNOLOGY
- Taking your breath away: metabolomics breathes life in to personalized medicine
- (2014) Nicholas J.W. Rattray et al. TRENDS IN BIOTECHNOLOGY
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- (2013) Fangkai Han et al. Analytical Methods
- Colour Measurement and Analysis in Fresh and Processed Foods: A Review
- (2012) Pankaj B. Pathare et al. Food and Bioprocess Technology
- Study on the flavour of soybean cultivars by sensory analysis and electronic tongue
- (2012) Josemeyre Da Silva et al. INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
- Colour measurements by computer vision for food quality control – A review
- (2012) Di Wu et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
- Comparison of aroma compounds in naturally fermented and inoculated Chinese soybean pastes by GC-MS and GC-Olfactometry analysis
- (2010) Jianxin Zhao et al. FOOD CONTROL
- Why color synesthesia involves more than color
- (2009) David M. Eagleman et al. TRENDS IN COGNITIVE SCIENCES
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