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Determination of pesticide residual levels in strawberry (Fragaria) by near‐infrared spectroscopy

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What this work says

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

inferredcites →https://doi.org/10.1002/mas.20091openalex-snapshot
Residue analysis of 500 high priority pesticides: Better by GC–MS or LC–MS/MS?
inferredcites →https://doi.org/10.1002/ps.1910openalex-snapshot
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Soluble Solids Content and pH Prediction and Maturity Discrimination of Lychee Fruits Using Visible and Near Infrared Hyperspectral Imaging
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Analysis of air pollution plant exposure data: The soft independent modelling of class analogy (SIMCA) and partial least squares modelling with latent variable (PLS) approaches
inferredcites →https://doi.org/10.1016/j.chemolab.2009.03.005openalex-snapshot
Rapid determination of ethylene content in tomatoes using visible and short-wave near-infrared spectroscopy and wavelength selection
inferredcites →https://doi.org/10.1016/j.foodchem.2006.03.012openalex-snapshot
Prediction of sensory attributes of European Emmental cheese using near-infrared spectroscopy: A feasibility study
inferredcites →https://doi.org/10.1016/j.foodchem.2011.10.037openalex-snapshot
Phenolic compounds in strawberry (Fragaria x ananassa Duch.) fruits: Composition in 27 cultivars and changes during ripening
inferredcites →https://doi.org/10.1016/j.foodcont.2007.09.002openalex-snapshot
Analysis of 140 pesticides from conventional farming foodstuff samples after extraction with the modified QuECheRS method
inferredcites →https://doi.org/10.1016/j.foodcont.2012.07.045openalex-snapshot
Feasibility of using NIR spectroscopy to detect herbicide residues in intact olives
inferredcites →https://doi.org/10.1016/j.jfoodeng.2014.06.028openalex-snapshot
The use of visible and near infrared spectroscopy for evaluating passion fruit postharvest quality
inferredcites →https://doi.org/10.1016/j.measurement.2016.03.069openalex-snapshot
Developing a Vis/NIR spectroscopic system for fast and non-destructive pesticide residue monitoring in agricultural product
inferredcites →https://doi.org/10.1016/j.postharvbio.2008.03.013openalex-snapshot
Evaluation of quality and nutraceutical content of blueberries (Vaccinium corymbosum L.) by near and mid-infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.postharvbio.2015.04.004openalex-snapshot
Fast and accurate quality assessment of Raf tomatoes using NIRS technology
inferredcites →https://doi.org/10.1016/j.postharvbio.2016.11.013openalex-snapshot
Potential of NIR spectroscopy for predicting internal quality and discriminating among strawberry fruits from different production systems
inferredcites →https://doi.org/10.1016/j.proeng.2012.01.631openalex-snapshot
Application of Particle Swarm Optimization (PSO) Algorithm to Determine Dichlorvos Residue on the Surface of Navel Orange with Vis-NIR Spectroscopy
inferredcites →https://doi.org/10.1016/j.talanta.2016.12.061openalex-snapshot
Pesticide residues in propolis from Spain and Chile. An approach using near infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.trac.2004.07.008openalex-snapshot
Determination of pesticides and their degradation products in soil: critical review and comparison of methods
inferredcites →https://doi.org/10.1016/j.trac.2016.04.017openalex-snapshot
Trends in analysis of pesticide residues to fulfil the European Regulation (EC) No. 1107/2009
inferredcites →https://doi.org/10.1016/s0021-9673(00)00151-5openalex-snapshot
Recent and future developments of liquid chromatography in pesticide trace analysis
inferredcites →https://doi.org/10.1021/ja01240a510openalex-snapshot
COLORIMETRIC TESTS FOR DDT AND RELATED COMPOUNDS
inferredcites →https://doi.org/10.1021/jf030461eopenalex-snapshot
Antioxidants, Low Molecular Weight Carbohydrates, and Total Antioxidant Capacity in Strawberries ( Fragaria × ananassa ): Effects of Cultivar, Ripening, and Storage
inferredcites →https://doi.org/10.1039/an9911600681openalex-snapshot
Occurrence, handling and chromatographic determination of pesticides in the aquatic environment. A review
inferredcites →https://doi.org/10.1093/jaoac/46.2.186openalex-snapshot
Rapid Method for Chlorinated Pesticide Residues in Nonfatty Foods
inferredcites →https://doi.org/10.1093/jaoac/88.2.595openalex-snapshot
Validation of a Fast and Easy Method for the Determination of Residues from 229 Pesticides in Fruits and Vegetables Using Gas and Liquid Chromatography and Mass Spectrometric Detection
inferredcites →https://doi.org/10.1093/jaoac/90.2.485openalex-snapshot
Determination of Pesticide Residues in Foods by Acetonitrile Extraction and Partitioning with Magnesium Sulfate: Collaborative Study
inferredcites →https://doi.org/10.1109/icicta.2010.477openalex-snapshot
Nondestructive Detection of Pesticide Residue on Longan Surface Based on Near Infrared Spectroscopy
inferredcites →https://doi.org/10.1109/icicta14592.2008openalex-snapshot
2008 International Conference on Intelligent Computation Technology and Automation (ICICTA)
inferredcites →https://doi.org/10.1111/jfpe.12509openalex-snapshot
D iscrimination of pesticide residues in lettuce based on chemical molecular structure coupled with wavelet transform and near infrared hyperspectra
inferredcites →https://doi.org/10.1255/jnirs.470openalex-snapshot
Rapid Determination of Fungicide Contaminated on Tomato Surfaces Using the DESIR-NIR: A System for ppm-order Concentration
inferredcites →https://doi.org/10.13031/2013.37087openalex-snapshot
A Method for Determining Organophosphorus Pesticide Concentration Based on Near-Infrared Spectroscopy
inferredcites →https://doi.org/10.2903/j.efsa.2020.6057openalex-snapshot
The 2018 European Union report on pesticide residues in food
inferredcites →https://doi.org/10.3390/s150511889openalex-snapshot
Fruit Quality Evaluation Using Spectroscopy Technology: A Review
inferredcites →https://doi.org/10.4060/cc5124enopenalex-snapshot
International Code of Conduct on Pesticide Management

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.infrared.2023.104631openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infrared.2023.104734openalex-snapshot
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