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Infrared Spectroscopy and Chemometric Applications for the Qualitative and Quantitative Investigation of Grapevine Organs

https://doi.org/10.3389/fpls.2021.723247
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment
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Non-destructive and rapid measurement of sugar content in growing cane stalks for breeding programmes using visible-near infrared spectroscopy
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Identification of grapevine varieties using leaf spectroscopy and partial least squares
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Towards on-line monitoring of phenolic content in red wine grapes: A feasibility study
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A novel method for classification of wine based on organic acids
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Climate change associated effects on grape and wine quality and production
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Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality
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Characterization of iron deficiency symptoms in grapevine (Vitis spp.) leaves by reflectance spectroscopy
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Application of a hyperspectral imaging system to quantify leaf-scale chlorophyll, nitrogen and chlorophyll fluorescence parameters in grapevine
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Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
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Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review
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Development of predictive models for quality and maturation stage attributes of wine grapes using vis-nir reflectance spectroscopy
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A multi-model fusion strategy for multivariate calibration using near and mid-infrared spectra of samples from brewing industry
inferredcites →https://doi.org/10.1016/j.talanta.2017.08.065openalex-snapshot
Chemometric compositional analysis of phenolic compounds in fermenting samples and wines using different infrared spectroscopy techniques
inferredcites →https://doi.org/10.1016/j.talanta.2018.09.057openalex-snapshot
Feasibility study on the use of a portable micro near infrared spectroscopy device for the “in vineyard” screening of extractable polyphenols in red grape skins
inferredcites →https://doi.org/10.1016/j.talanta.2019.02.037openalex-snapshot
Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening
inferredcites →https://doi.org/10.1016/j.talanta.2019.120241openalex-snapshot
Viability of IR spectroscopy for the accurate measurement of yeast assimilable nitrogen content of grape juice
inferredcites →https://doi.org/10.1016/j.tifs.2015.10.002openalex-snapshot
On-line application of near infrared (NIR) spectroscopy in food production
inferredcites →https://doi.org/10.1016/j.trac.2016.12.012openalex-snapshot
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inferredcites →https://doi.org/10.1051/bioconf/20150501003openalex-snapshot
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inferredcites →https://doi.org/10.1071/fp04028openalex-snapshot
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inferredcites →https://doi.org/10.1093/treephys/tpw083openalex-snapshot
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inferredcites →https://doi.org/10.1097/00006199-200201000-00009openalex-snapshot
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inferredcites →https://doi.org/10.1111/2041-210x.12391openalex-snapshot
Near‐infrared spectroscopy ( NIRS ) predicts non‐structural carbohydrate concentrations in different tissue types of a broad range of tree species
inferredcites →https://doi.org/10.1111/ajgw.12072openalex-snapshot
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Grape and wine analysis - enhancing the power of spectroscopy with chemometrics..
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Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
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inferredcites →https://doi.org/10.21273/jashs03982-16openalex-snapshot
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inferredcites →https://doi.org/10.2134/agronj2015.0173openalex-snapshot
Near‐Infrared Calibration of Soluble Stem Carbohydrates for Predicting Drought Tolerance in Spring Wheat
inferredcites →https://doi.org/10.21548/16-2-2270openalex-snapshot
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inferredcites →https://doi.org/10.3390/agronomy10010088openalex-snapshot
Hyperspectral Imaging to Assess the Presence of Powdery Mildew (Erysiphe necator) in cv. Carignan Noir Grapevine Bunches
inferredcites →https://doi.org/10.3390/molecules22010168openalex-snapshot
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inferredcites →https://doi.org/10.3390/s17030538openalex-snapshot
Non-Destructive Evaluation of the Leaf Nitrogen Concentration by In-Field Visible/Near-Infrared Spectroscopy in Pear Orchards
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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