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Rapid Detection of Hydrolyzed Leather Protein Adulteration in Infant Formula 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/jsfa.5779openalex-snapshot
Non‐destructive measurement of vitamin C, total polyphenol and sugar content in apples using near‐infrared spectroscopy
inferredcites →https://doi.org/10.1002/jsfa.6343openalex-snapshot
Predicting apple (cv. Elshof) postharvest dry matter and soluble solids content with near infrared spectroscopy
inferredcites →https://doi.org/10.1007/978-3-642-23957-1_15openalex-snapshot
Quantization of Adulteration Ratio of Raw Cow Milk by Least Squares Support Vector Machines (LS-SVM) and Visible/Near Infrared Spectroscopy
inferredcites →https://doi.org/10.1007/s12161-015-0100-3openalex-snapshot
Targeted and Untargeted Detection of Skim Milk Powder Adulteration by Near-Infrared Spectroscopy
inferredcites →https://doi.org/10.1016/0009-8981(93)90298-iopenalex-snapshot
Selective and sensitive determination of urinary total proline and hydroxyproline by gas chromatography with flame photometric detection
inferredcites →https://doi.org/10.1016/j.aca.2006.07.008openalex-snapshot
Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk
inferredcites →https://doi.org/10.1016/j.aca.2007.02.050openalex-snapshot
Multivariate near infrared spectroscopy models for predicting methanol and water content in biodiesel
inferredcites →https://doi.org/10.1016/j.chroma.2012.02.030openalex-snapshot
Rapid and sensitive determination of hydroxyproline in dairy products using micellar electrokinetic chromatography with laser-induced fluorescence detection
inferredcites →https://doi.org/10.1016/j.foodchem.2011.11.136openalex-snapshot
The application of near-infrared (NIR) and Raman spectroscopy to detect adulteration of oil used in animal feed production
inferredcites →https://doi.org/10.1016/j.foodchem.2013.08.064openalex-snapshot
Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.foodres.2013.03.016openalex-snapshot
FT-NIR and FT-MIR spectroscopy to discriminate competitors, non compliance and compliance grated Parmigiano Reggiano cheese
inferredcites →https://doi.org/10.1016/j.jchromb.2005.07.019openalex-snapshot
Quantification of hydroxyproline in small amounts of skin tissue using isocratic high performance liquid chromatography with NBD-F as fluorogenic reagent
inferredcites →https://doi.org/10.1016/j.jchromb.2007.10.031openalex-snapshot
Simultaneous determination of 3-nitrotyrosine, tyrosine, hydroxyproline and proline in exhaled breath condensate by hydrophilic interaction liquid chromatography/electrospray ionization tandem mass spectrometry
inferredcites →https://doi.org/10.1016/j.talanta.2011.04.026openalex-snapshot
Melamine detection by mid- and near-infrared (MIR/NIR) spectroscopy: A quick and sensitive method for dairy products analysis including liquid milk, infant formula, and milk powder
inferredcites →https://doi.org/10.1016/j.talanta.2016.01.035openalex-snapshot
Detection of melamine in milk powders using near-infrared hyperspectral imaging combined with regression coefficient of partial least square regression model
inferredcites →https://doi.org/10.1016/j.trac.2010.05.006openalex-snapshot
Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
inferredcites →https://doi.org/10.1021/jf203925aopenalex-snapshot
Feasible Application of a Portable NIR-AOTF Tool for On-Field Prediction of Phenolic Compounds during the Ripening of Olives for Oil Production
inferredcites →https://doi.org/10.1021/jf303814gopenalex-snapshot
Application of Hand-Held and Portable Infrared Spectrometers in Bovine Milk Analysis
inferredcites →https://doi.org/10.1021/jf4023433openalex-snapshot
Exploring Authentic Skim and Nonfat Dry Milk Powder Variance for the Development of Nontargeted Adulterant Detection Methods Using Near-Infrared Spectroscopy and Chemometrics
inferredcites →https://doi.org/10.1021/jf5013727openalex-snapshot
Characterization of Near-Infrared Spectral Variance in the Authentication of Skim and Nonfat Dry Milk Powder Collection Using ANOVA-PCA, Pooled-ANOVA, and Partial Least-Squares Regression
inferredcites →https://doi.org/10.1039/a802531bopenalex-snapshot
Near-infrared spectroscopy in the pharmaceutical industry
inferredcites →https://doi.org/10.1039/a805946bopenalex-snapshot
Near-infrared analytical control of pharmaceuticals. A single calibration model from mixed phase to coated tablets
inferredcites →https://doi.org/10.1039/b719318aopenalex-snapshot
In situ monitoring of the seed stage of a fermentation process using non-invasive NIR spectrometry
inferredcites →https://doi.org/10.1080/09540105.2013.768965openalex-snapshot
Development of an indirect competitive immunoassay for determination of L-hydroxyproline in milk
inferredcites →https://doi.org/10.1080/10408690490478127openalex-snapshot
Authenticity Assessment of Dairy Products
inferredcites →https://doi.org/10.1117/1.2804911openalex-snapshot
Functional near-infrared spectroscopy: current status and future prospects
inferredcites →https://doi.org/10.1126/science.276.5321.1991openalex-snapshot
Play of Light Opens a New Window Into the Body
inferredcites →https://doi.org/10.1255/jnirs.749openalex-snapshot
Capabilities of near Infrared Spectroscopy for the Determination of Petroleum Macromolecule Content in Aromatic Solutions
inferredcites →https://doi.org/10.3136/fstr.14.132openalex-snapshot
Near Infrared Spectroscopy for Determination of the Protein Composition of Rice Flour
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.4353466openalex-extracted
Detection and Quantification of Corn Starch and Wheat Flour as Adulterants in Powdered Milk by Near- and Mid-Infrared Spectroscopy Coupled to Chemometric Routines
inferred← citeshttps://doi.org/10.1007/s11694-023-01846-3openalex-snapshot
A systematic account of food adulteration and recent trends in the non-destructive analysis of food fraud detection
inferred← citeshttps://doi.org/10.1016/j.afres.2025.100872openalex-snapshot
Spectroscopy and chemometric-based method for sugar profiling in high-fructose syrup
inferred← citeshttps://doi.org/10.1016/j.focha.2023.100582openalex-snapshot
Detection and quantification of corn starch and wheat flour as adulterants in milk powder by near- and mid-infrared spectroscopy coupled with chemometric routines
inferred← citeshttps://doi.org/10.1016/j.foodchem.2024.142736openalex-snapshot
Data-driven pipeline modeling for predicting unknown protein adulteration in dairy products
inferred← citeshttps://doi.org/10.1016/j.idairyj.2021.105172openalex-snapshot
Variable selection coupled to PLS2, ANN and SVM for simultaneous detection of multiple adulterants in milk using spectral data
inferred← citeshttps://doi.org/10.1016/j.jfca.2021.104343openalex-snapshot
Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics
inferred← citeshttps://doi.org/10.1080/10408398.2020.1777526openalex-snapshot
Detection of adulteration in food based on nondestructive analysis techniques: a review
inferred← citeshttps://doi.org/10.3168/jds.2025-27462openalex-snapshot
Graduate Student Literature Review: A review on near-infrared spectroscopy for rapid detection of hazardous substances in milk and dairy products
inferred← citeshttps://doi.org/10.3390/foods10040785openalex-snapshot
Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared Spectroscopy
inferred← citeshttps://doi.org/10.34172/jbp.2024.12openalex-snapshot
Developing Infrared Spectroscopy Methods for Identification of Food Fraud and Authenticity: A Review
inferred← citeshttps://doi.org/10.35633/nmateh-67-47openalex-snapshot
A COMPREHENSIVE OVERVIEW OF NEAR INFRARED AND INFRARED SPECTROSCOPY FOR DETECTING THE ADULTERATION ON FOOD AND AGRO-PRODUCTS—A CRITICAL ASSESSMENT
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