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Chemometric strategies for nondestructive and rapid assessment of nitrate content in harvested spinach using Vis‐NIR spectroscopy

https://doi.org/10.1111/1750-3841.15420
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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/jsfa.9959openalex-snapshot
Safety and quality issues in summer squashes using handheld portable NIRS sensors for real‐time decision making and for on‐vine monitoring
inferredcites →https://doi.org/10.1007/s11119-014-9348-7openalex-snapshot
Using hyperspectral remote sensing techniques to monitor nitrogen, phosphorus, sulphur and potassium in wheat (Triticum aestivum L.)
inferredcites →https://doi.org/10.1007/s11694-018-9781-9openalex-snapshot
Spray dried spinach juice: powder properties
inferredcites →https://doi.org/10.1007/s13197-013-1198-1openalex-snapshot
Effect of spinach powder on physico-chemical, rheological, nutritional and sensory characteristics of chapati premixes
inferredcites →https://doi.org/10.1016/b978-0-12-801505-6.00006-5openalex-snapshot
Selected Statistical Methods in QSAR
inferredcites →https://doi.org/10.1016/j.aca.2010.03.048openalex-snapshot
Variables selection methods in near-infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.biosystemseng.2016.12.008openalex-snapshot
Vis/NIR spectroscopy and chemometrics for non-destructive estimation of water and chlorophyll status in sunflower leaves
inferredcites →https://doi.org/10.1016/j.biosystemseng.2018.06.001openalex-snapshot
Use of visible and near infrared spectroscopy with a view to on-line evaluation of oil content during olive processing
inferredcites →https://doi.org/10.1016/j.compag.2018.11.004openalex-snapshot
Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.foodchem.2010.10.027openalex-snapshot
Determination of Chinese honey adulterated with high fructose corn syrup by near infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.foodchem.2012.11.120openalex-snapshot
Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.foodchem.2015.05.084openalex-snapshot
Feasibility of combining spectra with texture data of multispectral imaging to predict heme and non-heme iron contents in pork sausages
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.foodres.2011.05.001openalex-snapshot
Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.foodres.2014.05.010openalex-snapshot
Multispectral imaging for rapid and non-destructive determination of aerobic plate count (APC) in cooked pork sausages
inferredcites →https://doi.org/10.1016/j.ijgfs.2016.12.003openalex-snapshot
Nutritional, textural and sensory quality of biscuits supplemented with spinach ( Spinacia oleracea L.)
inferredcites →https://doi.org/10.1016/j.indcrop.2016.07.008openalex-snapshot
Methods for estimating leaf nitrogen concentration of winter oilseed rape (Brassica napus L.) using in situ leaf spectroscopy
inferredcites →https://doi.org/10.1016/j.jag.2009.11.003openalex-snapshot
Estimation of sugarcane leaf nitrogen concentration using in situ spectroscopy
inferredcites →https://doi.org/10.1016/j.jchromb.2016.01.032openalex-snapshot
Evidence by chromatography and mass spectrometry that inorganic nitrite induces S -glutathionylation of hemoglobin in human red blood cells
inferredcites →https://doi.org/10.1016/j.jfoodeng.2014.11.004openalex-snapshot
Quantitative prediction of nitrate level in intact pineapple using Vis–NIRS
inferredcites →https://doi.org/10.1016/j.jfoodeng.2015.08.023openalex-snapshot
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning
inferredcites →https://doi.org/10.1016/j.postharvbio.2016.11.011openalex-snapshot
Use of NIRS technology for on-vine measurement of nitrate content and other internal quality parameters in intact summer squash for baby food production
inferredcites →https://doi.org/10.1016/j.postharvbio.2019.04.015openalex-snapshot
Monitoring quality and safety assessment of summer squashes along the food supply chain using near infrared sensors
inferredcites →https://doi.org/10.1016/j.postharvbio.2019.111026openalex-snapshot
Simultaneous detection of quality and safety in spinach plants using a new generation of NIRS sensors
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.saa.2018.09.035openalex-snapshot
Pre-harvest screening on-vine of spinach quality and safety using NIRS technology
inferredcites →https://doi.org/10.1016/j.supflu.2013.07.004openalex-snapshot
Simultaneous extraction of rosemary and spinach leaves and its effect on the antioxidant activity of products
inferredcites →https://doi.org/10.1016/j.talanta.2012.05.036openalex-snapshot
Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques
inferredcites →https://doi.org/10.1016/j.talanta.2016.12.044openalex-snapshot
Methods for the detection and determination of nitrite and nitrate: A review
inferredcites →https://doi.org/10.1016/j.talanta.2018.08.028openalex-snapshot
A review on spectroscopic methods for determination of nitrite and nitrate in environmental samples
inferredcites →https://doi.org/10.1021/jf011618aopenalex-snapshot
Spinach (Spinacia oleracea) Powder as a Natural Food-Grade Antioxidant in Deep-Fat-Fried Products
inferredcites →https://doi.org/10.1021/jf100501qopenalex-snapshot
Prediction of Polyphenol Oxidase Activity Using Visible Near-Infrared Hyperspectral Imaging on Mushroom (Agaricus bisporus) Caps
inferredcites →https://doi.org/10.1080/01431160701772500openalex-snapshot
The assessment of leaf water content using leaf reflectance ratios in the visible, near‐, and short‐wave‐infrared
inferredcites →https://doi.org/10.1109/tgrs.2013.2278838openalex-snapshot
Sensitivity Analysis of Vegetation Reflectance to Biochemical and Biophysical Variables at Leaf, Canopy, and Regional Scales
inferredcites →https://doi.org/10.1111/1750-3841.12858openalex-snapshot
A Survey of Nitrate and Nitrite Concentrations in Conventional and Organic‐Labeled Raw Vegetables at Retail
inferredcites →https://doi.org/10.13031/2013.16074openalex-snapshot
DIFFERENTIATION OF MICROORGANISMS BY FTIR-ATR AND NIR SPECTROSCOPY
inferredcites →https://doi.org/10.13031/2013.18308openalex-snapshot
DETERMINATION OF SIGNIFICANT WAVELENGTHS AND PREDICTION OF NITROGEN CONTENT FOR CITRUS
inferredcites →https://doi.org/10.18520/cs/v108/i5/848-859openalex-snapshot
Hyperspectral Remote Sensing of Agriculture
inferredcites →https://doi.org/10.21307/ijssis-2017-210openalex-snapshot
TECHNIQUES IN ADVANCING THE CAPABILITIES OF VARIOUS NITRATE DETECTION METHODS: A REVIEW
inferredcites →https://doi.org/10.2525/ecb.48.37openalex-snapshot
Measurement of Nitrate Concentration Distribution in Vegetables by Near-Infrared Hyperspectral Imaging
inferredcites →https://doi.org/10.3109/09637480903476415openalex-snapshot
Detection of jaggery syrup in honey using near-infrared spectroscopy
inferredcites →https://doi.org/10.3182/20101206-3-jp-3009.00039openalex-snapshot
Detection of bacterial contamination in milk using NIR spectroscopy and two classification methods - SIMCA and Neuro – Fuzzy classifier
inferredcites →https://doi.org/10.3182/20110828-6-it-1002.00738openalex-snapshot
Development of Method for Non-destructive Measurement of Nitrate Concentration in Vegetable Leaves by Near-infrared Spectroscopy
inferredcites →https://doi.org/10.3389/fpls.2017.01937openalex-snapshot
High-Resolution and Non-destructive Evaluation of the Spatial Distribution of Nitrate and Its Dynamics in Spinach (Spinacia oleracea L.) Leaves by Near-Infrared Hyperspectral Imaging
inferredcites →https://doi.org/10.3390/ijerph110404427openalex-snapshot
Effects of Nitrogen Fertilizers on the Growth and Nitrate Content of Lettuce (Lactuca sativa L.)
inferredcites →https://doi.org/10.3390/rs4061651openalex-snapshot
Estimating Canopy Nitrogen Concentration in Sugarcane Using Field Imaging Spectroscopy
inferredcites →https://doi.org/10.3906/tar-1210-90openalex-snapshot
Electric Dipole Oscillator Strengths of Boron
inferredcites →https://doi.org/10.4141/p05-157openalex-snapshot
Monitoring leaf nitrogen in wheat using canopy reflectance spectra

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4609414openalex-extracted
Non-Destructive Nitrate Content Determination of Bell Pepper Using Vis/Nir Spectroscopy Based Soft Computing Methods
inferred← citeshttps://doi.org/10.1002/jpln.202300273openalex-snapshot
Rapid and cost‐effective assessment of nutrients in pistachio (Pistacia vera L.) leaves through Fourier transform near‐infrared spectroscopy (FT‐NIRS)
inferred← citeshttps://doi.org/10.1007/s10341-025-01295-wopenalex-snapshot
Simultaneous Analysis of Several Common Anions and Cations in 17 Hazelnut Varieties Grown in Giresun Province Using an Ion Chromatographic System and Statistical Assessment
inferred← citeshttps://doi.org/10.1007/s13197-021-05219-wopenalex-snapshot
Non-destructive assessment of quality parameters of white button mushrooms (Agaricus bisporus) using image processing techniques
inferred← citeshttps://doi.org/10.1016/bs.agron.2023.10.004openalex-snapshot
Biosensing technology interventions for the detection of nitrate and nitrite contamination in environment and foods
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106390openalex-snapshot
Estimating cotton leaf nitrogen by combining the bands sensitive to nitrogen concentration and oxidase activities using hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.compag.2022.107328openalex-snapshot
Construction of spectral index based on multi-angle spectral data for estimating cotton leaf nitrogen concentration
inferred← citeshttps://doi.org/10.1016/j.foodcont.2021.108588openalex-snapshot
Rapid detection of adulteration in desiccated coconut powder: vis-NIR spectroscopy and chemometric approach
inferred← citeshttps://doi.org/10.1016/j.jafr.2023.100625openalex-snapshot
An automatic generation of pre-processing strategy combined with machine learning multivariate analysis for NIR spectral data
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2024.112129openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.lwt.2021.112192openalex-snapshot
Online NIRS analysis for the routine assessment of the nitrate content in spinach plants in the processing industry using linear and non-linear methods
inferred← citeshttps://doi.org/10.1016/j.meafoo.2025.100274openalex-snapshot
Development of a visible/near-infrared spectroscopic system with unique software for rapid and non-destructive detection of nitrate-contaminated leafy and fruity vegetables
inferred← citeshttps://doi.org/10.1016/j.saa.2024.124820openalex-snapshot
Applications of optical sensing and imaging spectroscopy in indoor farming: A systematic review
inferred← citeshttps://doi.org/10.1039/d1ra01013aopenalex-snapshot
A study of starch content detection and the visualization of fresh-cut potato based on hyperspectral imaging
inferred← citeshttps://doi.org/10.1101/2020.12.18.423409openalex-snapshot
Sugarcane Nitrogen and Irrigation Level Prediction Based on UAV-Captured Multispectral Images at the Elongation Stage
inferred← citeshttps://doi.org/10.1111/ijfs.15966openalex-snapshot
Non‐invasive and rapid quality assessment of thermal processed and canned tender jackfruit: NIR spectroscopy and chemometric approach
inferred← citeshttps://doi.org/10.1155/2024/5521957openalex-snapshot
Effect of Excess Application of Nitrogenous Fertilizer on Postharvest Quality of Spinach during Storage
inferred← citeshttps://doi.org/10.1515/opag-2022-0268openalex-snapshot
Construction of a sustainable model to predict the moisture content of porang powder ( Amorphophallus oncophyllus ) based on pointed-scan visible near-infrared spectroscopy
inferred← citeshttps://doi.org/10.1590/fst.104622openalex-snapshot
Tracing models for checking beef adulterated with pig blood by Fourier transform near-infrared paired with linear and nonlinear chemometrics
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10684207/v1openalex-snapshot
Systematic evaluation of hyperspectral imaging workflows for predicting pigment and nutrient traits in tomato leaves under varying nitrogen supply levels
inferred← citeshttps://doi.org/10.3389/fpls.2023.1284172openalex-snapshot
Improving the estimation accuracy of rapeseed leaf photosynthetic characteristics under salinity stress using continuous wavelet transform and successive projections algorithm
inferred← citeshttps://doi.org/10.3390/a18050255openalex-snapshot
Advancements in Non-Destructive Detection of Biochemical Traits in Plants Through Spectral Imaging-Based Algorithms: A Systematic Review
inferred← citeshttps://doi.org/10.3390/agronomy13010193openalex-snapshot
Nitrate Content Assessment in Spinach: Exploring the Potential of Spectral Reflectance in Open Field Experiments
inferred← citeshttps://doi.org/10.3390/pr13061731openalex-snapshot
Analyzing the Nitrate Content in Various Bell Pepper Varieties Through Non-Destructive Methods Using Vis/NIR Spectroscopy Enhanced by Metaheuristic Algorithms
inferred← citeshttps://doi.org/10.3390/rs17111873openalex-snapshot
Nitrate Content in Open Field Spinach, Applicative Case for Hyperspectral Reflectance Data
inferred← citeshttps://doi.org/10.3390/s25144401openalex-snapshot
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