[go: up one dir, main page]

Kahraman et al., 2024 - Google Patents

Characterization of Turkish Pine honey and differentiation from floral honeys by NMR spectroscopy and chemometric analysis

Kahraman et al., 2024

View PDF
Document ID
7907205549455312426
Author
Kahraman K
Göcenler O
Dağ
Publication year
Publication venue
Journal of Food Composition and Analysis

External Links

Snippet

Honey is a viscous, supersaturated sugar solution produced by bees through the enzymatic transformation of nectar from flowers, containing a complex mixture of carbohydrates, organic acids, enzymes, and other minor constituents. Although honey has been used for …
Continue reading at www.biorxiv.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/04Investigating or analysing materials by specific methods not covered by the preceding groups food dairy products
    • G01N33/06Determining fat content, e.g. by butyrometer
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/14Investigating or analysing materials by specific methods not covered by the preceding groups food beverages

Similar Documents

Publication Publication Date Title
Starowicz Analysis of volatiles in food products
Mendes et al. Mid-infrared spectroscopy as a valuable tool to tackle food analysis: A literature review on coffee, dairies, honey, olive oil and wine
Selamat et al. Application of the metabolomics approach in food authentication
Maestrello et al. Nuclear magnetic resonance spectroscopy in extra virgin olive oil authentication
Emwas et al. You are what you eat: application of metabolomics approaches to advance nutrition research
Martínez‐Beamonte et al. Could squalene be an added value to use olive by‐products?
Schievano et al. Objective definition of monofloral and polyfloral honeys based on NMR metabolomic profiling
Farag et al. Profiling of primary metabolites and volatiles in apricot (Prunus armeniaca L.) seed kernels and fruits in the context of its different cultivars and soil type as analyzed using chemometric tools
Donarski et al. Identification of botanical biomarkers found in Corsican honey
Kahraman et al. Characterization of Turkish Pine honey and differentiation from floral honeys by NMR spectroscopy and chemometric analysis
Žanetić et al. Comparative study of volatile compounds and sensory characteristics of dalmatian monovarietal virgin olive oils
Abreu et al. NMR metabolomics applied on the discrimination of variables influencing tomato (Solanum lycopersicum)
Moon et al. Impact of an agriphotovoltaic system on metabolites and the sensorial quality of cabbage (Brassica oleracea var. capitata) and its high-temperature-extracted juice
Liu et al. Comprehensive evaluation of Luzhou‐flavor liquor quality based on fuzzy mathematics and principal component analysis
Tahir et al. Classification of Black Mahlab seeds (Monechma ciliatum) using GC–MS and FT-NIR and simultaneous prediction of their major volatile compounds using chemometrics
Miao et al. Evaluation of the physiochemical and metabolite of different region coffee beans by using UHPLC-QE-MS untargeted-metabonomics approaches
Iaccarino et al. Ancient danish apple cultivars—A comprehensive metabolite and sensory profiling of apple juices
Zhou et al. Discrimination of the geographical origin of soybeans using NMR-based metabolomics
He et al. Differentiation of goat meat freshness using gas chromatography with ion mobility spectrometry
Song et al. Nondestructive classification of soft rot disease in napa cabbage using hyperspectral imaging analysis
Pardo et al. Influence of olive maturity and season on the quality of virgin olive oils from the area assigned to the protected designation of origin of “Aceite de la Alcarria”(Spain)
Streule et al. Effect of pod storage and drying temperature on fermentation dynamics and final bean quality of Cacao Nacional in Ecuador
Moro et al. Investigation of Brazilian grape juice metabolomic profile changes caused by methyl jasmonate pre-harvest treatment
Zuluaga-Domínguez et al. Classification of Colombian honeys by electronic nose and physical-chemical parameters, using neural networks and genetic algorithms
Zhang et al. Characterization and evaluation of Taihe black-boned silky fowl eggs based on physical properties, nutritive values, and flavor profiles