Evidence
Food Chem. 2023 Nov 24;438:138029. doi: 10.1016/j.foodchem.2023.138029. Online ahead of print.
ABSTRACT
Food fraud, along with many challenges to the integrity and sustainability, threatens the prosperity of businesses and society as a whole. Tea is the second most commonly consumed non-alcoholic beverage globally. Challenges to tea authenticity require the development of highly efficient and rapid solutions to improve supply chain transparency. This study has produced an innovative workflow for black tea geographical indications (GI) discrimination based on non-targeted spectroscopic fingerprinting techniques. A total of 360 samples originating from nine GI regions worldwide were analysed by Fourier Transform Infrared (FTIR) and Near Infrared spectroscopy. Machine learning algorithms (k-nearest neighbours and support vector machine models) applied to the test data greatly improved the GI identification achieving 100% accuracy using FTIR. This workflow will provide a low-cost and user-friendly solution for on-site and real-time determination of black tea geographical origin along supply chains.
PMID:38006696 | DOI:10.1016/j.foodchem.2023.138029
Estimated reading time: 3 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
Cool Evidence: Engaging Young People and Students in Real-World Evidence
Real-Time Evidence Search [Psychiatry]
AI Research
Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Green Tea Diet Can Effectively Antagonize the Toxicity Induced by Environmental-Related Concentrations of BPA: An Implication from In Vivo and In Silico Studies
- Editorial for Special Issue on Artificial Intelligence in Tissue Engineering and Biology
- Artificial intelligence in microplastic detection and pollution control
- Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia
- Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia
- Oxford Energy Hackathon for Net-Zero!
- Exploring the everyday impacts and memory intervention needs of people with transient epileptic amnesia: A qualitative study
- Forgetfulness in adult attention-deficit/hyperactivity disorder masks transient epileptic amnesia: a case report
- Infrared spectral profiling of demyelinating activity in multiple sclerosis brain tissue
- Discovery of Delirium Biomarkers through Minimally Invasive Serum Molecular Fingerprinting
- Nonrestorative sleep and its associated factors in Chinese adolescents and the moderation effects of coffee or tea consumption
- Magnetic solid-phase extraction technique based on Fe(3)O(4)@coPPy-PTH nanocomposite for extraction of cobalt, chromium, and nickel prior to determination by microsample injection system-flame atomic absorption spectrometry in alcoholic and…
- Effects of Mao tea from Nankun Mountain on nonalcoholic fatty liver disease in mice
- Coffee and tea are unlikely to be risk factors or preventers of Alzheimer's disease or vascular dementia
- The challenges of using machine learning models in psychiatric research and clinical practice
- Dietary patterns in mild cognitive impairment and dementia in older adults from Yucatan, Mexico
- Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice
- An ensemble deep learning models approach using image analysis for cotton crop classification in AI-enabled smart agriculture
- An ensemble deep learning models approach using image analysis for cotton crop classification in AI-enabled smart agriculture
- The syndemic effect of COVID-19 and racial discrimination on suicide risk for Black emerging adults: Examining a model of radical healing
- Data integrity in an online world: Demonstration of multimodal bot screening tools and considerations for preserving data integrity in two online social and behavioral research studies with marginalized populations
- Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications
- Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications
- Prediction of WHO grade and methylation class of aggressive meningiomas: Extraction of diagnostic information from infrared spectroscopic data
- Two new cases of poppy seed tea dependence: using new formulations for an old condition
- INSTRAS: INfrared Spectroscopic imaging-based TRAnsformers for medical image Segmentation
- Medical Grand Rounds
- Flavonoid-Rich Foods, Dementia Risk, and Interactions With Genetic Risk, Hypertension, and Depression
- Synthetic MRI and MR Fingerprinting-Derived Relaxometry of Antenatal Human Brainstem Myelination: A Postmortem-Based Quantitative Imaging Study
- Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage
- Yellow tea polysaccharides protect against non-alcoholic fatty liver disease via regulation of gut microbiota and bile acid metabolism in mice
- Medical Grand Rounds - Week 1: Hepatology - 'LIVER cancer and early detection…and the creation of OLIVE at Oxford'
- Medical Grand Rounds - Week 3: Emergency Medicine - 'Back in the Saddle - Improving care for patients with cauda equina syndrome in the emergency department'
- Quantitative determination of vanillin and its detection threshold in sake
- Tailoring near-infrared amyloid-β probes with high-affinity and low background based on CN and amphipathic regulatory strategies and in vivo imaging of AD mice
- Artificial intelligence and machine learning for anaphylaxis algorithms
- The characteristics of WM in individuals with depressive tendencies: A functional near-infrared spectroscopy (fNIRS) study
- Near-infrared laser diode mitigates Aβ1-42-induced neurodegeneration in cortical neurons
- Raman and autofluorescence spectroscopy for in situ identification of neoplastic tissue during surgical treatment of brain tumors
- Raman and autofluorescence spectroscopy for in situ identification of neoplastic tissue during surgical treatment of brain tumors
- Investigating cortical hypoxia in multiple sclerosis via time-domain near-infrared spectroscopy
- Identification of Anticancer Peptides from the Genome of Candida albicans: in Silico Screening, in Vitro and in Vivo Validations
- Fingerprint profiling for quality evaluation and the related biological activity analysis of polysaccharides from Liuweizhiji Gegen-Sangshen beverage
- Fingerprint profiling for quality evaluation and the related biological activity analysis of polysaccharides from Liuweizhiji Gegen-Sangshen beverage
- The relationship between gendered racism and binge eating symptoms among young adult U.S. Black women: Identity shifting as a mediator
- The relationship between gendered racism and binge eating symptoms among young adult U.S. Black women: Identity shifting as a mediator
- Sweat-based stress screening with gas chromatography-ion mobility spectrometry and electronic nose
- Artificial intelligence decision making tools in food metabolomics: Data fusion unravels synergies within the hazelnut (Corylus avellana L.) metabolome and improves quality prediction
- Hemodynamics of short-duration light-intensity physical exercise in the prefrontal cortex of children: a functional near-infrared spectroscopy study
- Computer-driven formulation development of Ginsenoside Rh2 ternary solid dispersion
- An efficient method for disaster tweets classification using gradient-based optimized convolutional neural networks with BERT embeddings
- Interaction of full-length Tau with negatively charged lipid membranes leads to polymorphic aggregates
- Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification
- Recent advances and future trends in metal oxide photocatalysts for removal of pharmaceutical pollutants from wastewater: a comprehensive review
- Coping with ethnic-racial discrimination: Protective-reactive effects of shift-and-persist coping on internalizing symptoms among Black American adolescents
- Improving the Purity of Extracellular Vesicles by Removal of Lipoproteins from Size Exclusion Chromatography- and Ultracentrifugation-Processed Samples Using Glycosaminoglycan-Functionalized Magnetic Beads
- Simultaneous Utilization of Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale for Machine Learning-Based Classification of Patients With Bipolar Disorders and Depressive Disorders
- Simultaneous Utilization of Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale for Machine Learning-Based Classification of Patients With Bipolar Disorders and Depressive Disorders
- Unsupervised machine learning highlights the challenges of subtyping disorders of gut-brain interaction
- Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model
- Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model
- Proton Conducting Neuromorphic Materials and Devices
- Machine learning and explainable artificial intelligence for the prevention of waterborne cryptosporidiosis and giardiosis
- A machine learning-based electronic nose system using numerous low-cost gas sensors for real-time alcoholic beverage classification
Evidence Blueprint
Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Identifying the geographical origin and processing technology of Moyao () on the basis of near-infrared spectroscopy combined with chemometrics
- Tea and Coffee Consumption and Risk of Acute Stroke: the INTERSTROKE Study
- Tea and Coffee Consumption and Risk of Acute Stroke: the INTERSTROKE Study
- Tea and Coffee Consumption and Risk of Acute Stroke: the INTERSTROKE Study
- Green Tea Diet Can Effectively Antagonize the Toxicity Induced by Environmental-Related Concentrations of BPA: An Implication from In Vivo and In Silico Studies
- Good Things Come in Small Boxes: The Story of British Tea Chests and Caddies’ by Kate Richenburg
- Understanding the effect of fermentation time on physicochemical characteristics, sensory attributes, and volatile compounds in green tea kombucha
- Editorial for Special Issue on Artificial Intelligence in Tissue Engineering and Biology
- Investigating the Impact of Tea Consumption on Cognitive Function and Exploring Tea-Genetic Interactions in Older Adults Aged 65-105 Years: Findings from the 2002-2018 CLHLS Data
- Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms
- Chitosan/zein-based sustained-release composite films: Fabrication, physicochemical properties and release kinetics of tea polyphenols from polymer matrix
- Geographical and varietal origin differentiation of alcoholic beverages through the association between FT-Raman spectroscopy and advanced data processing strategies
- Is coffee, tea, and red wine consumption beneficial for individuals with hypertension?
- Transcriptome and proteomics conjoint analysis reveal anti-alcoholic liver injury effect of Dianhong Black Tea volatile substances
- Transcriptome and proteomics conjoint analysis reveal anti-alcoholic liver injury effect of Dianhong Black Tea volatile substances
- The association between tea consumption and non-malignant digestive system diseases: A Mendelian randomized study
- The association between tea consumption and non-malignant digestive system diseases: A Mendelian randomized study
- Artificial intelligence in microplastic detection and pollution control
- Amelioration of nonylphenol-induced anxiety/depression-like behaviors in male rats using green tea and Zn-Se tea interventions
- Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia
- Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia
- CsMIEL1 effectively inhibits the accumulation of anthocyanins under low temperatures in tea plants (Camelliasinensis)
- Oxford Energy Hackathon for Net-Zero!
- Exploring the everyday impacts and memory intervention needs of people with transient epileptic amnesia: A qualitative study
- Forgetfulness in adult attention-deficit/hyperactivity disorder masks transient epileptic amnesia: a case report
- Follicular Dendritic Cells Spill the Transcriptomic Tea
- Infrared spectral profiling of demyelinating activity in multiple sclerosis brain tissue
- The effect of vine tea (Ampelopsis grossedentata) extract on fatigue alleviation via improving muscle mass
- Day 1: Queer and Trans History Now Postgraduate Symposium
- Machine Learning-Assisted Classification of Paraffin-Embedded Brain Tumors with Raman Spectroscopy
- Discovery of Delirium Biomarkers through Minimally Invasive Serum Molecular Fingerprinting
- ORA collection on AI & Machine Learning launch event
- Nonrestorative sleep and its associated factors in Chinese adolescents and the moderation effects of coffee or tea consumption
- Comparing visible and near infrared 'point' spectroscopy and hyperspectral imaging techniques to visualize the variability of apple firmness
- Screening of malaria infections in human blood samples with varying parasite densities and anaemic conditions using AI-Powered mid-infrared spectroscopy
- Caffeine Consumption and Depression, Anxiety, and Stress Levels Among University Students in Medina: A Cross-Sectional Study
- Beverage consumption in patients with metabolic syndrome and its association with non-alcoholic fatty liver disease: a cross-sectional study
- Anti-counterfeiting and fraud mitigation solutions for high-value food products
- Magnetic solid-phase extraction technique based on Fe(3)O(4)@coPPy-PTH nanocomposite for extraction of cobalt, chromium, and nickel prior to determination by microsample injection system-flame atomic absorption spectrometry in alcoholic and…
- Sustainable gliadin - Metal oxide composites for efficient inactivation of Escherichia coli and remediation of cobalt (II) from water
- Unhealthy Food and Beverage Marketing to Children in the Digital Age: Global Research and Policy Challenges and Priorities
- Infrared Spectroscopy for Rapid Triage of Cancer Using Blood Derivatives: A Reality Check
- Developing a novel selection method for alcoholic fermentation starters by exploring wine yeast microbiota from Greece
- Integrating portable NIR spectrometry with deep learning for accurate Estimation of crude protein in corn feed
- Effects of selenium nanoparticles produced by Lactobacillus acidophilus HN23 on lipid deposition in WRL68 cells
- Spectrofluorometric quantitative analysis of aripiprazole based on quenching of natural derived carbon quantum dots in spiked human plasma
- Effects of Mao tea from Nankun Mountain on nonalcoholic fatty liver disease in mice
- Coffee and tea are unlikely to be risk factors or preventers of Alzheimer's disease or vascular dementia
- A scoping review of functional near-infrared spectroscopy biomarkers in late-life depression: Depressive symptoms, cognitive functioning, and social functioning
- Computer vision with artificial intelligence for a fast, low-cost, eco-friendly and accurate prediction of beer styles and brands
- The challenges of using machine learning models in psychiatric research and clinical practice
- Application of deep learning in radiation therapy for cancer
- Dietary factors and hypertension: A Mendelian randomization analysis
- Dietary factors and hypertension: A Mendelian randomization analysis
- fNIRS-based graph frequency analysis to identify mild cognitive impairment in Parkinson's disease
- Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review
- Residual behavior of dinotefuran and its metabolites during Huangjiu fermentation and their effects on flavor
- Dietary Polyphenols: What is the Estimated Intake in Population Studies With Adults and Elderly People?
- An overview of clinical machine learning applications in neurology
- From inspection to analysis: A combined approach to identifying counterfeit whiskeys using HS-GC-FID and bottle integrity
- Caffeinated non-alcoholic beverages on the postpartum mental health related to the COVID-19 pandemic by a cross-sectional study in Argentina
- Dietary patterns in mild cognitive impairment and dementia in older adults from Yucatan, Mexico
- Unconventional raw materials used in beer and beer-like beverages production: Impact on metabolomics and sensory profile
- Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice