Food Analytical Methods

Papers
(The H4-Index of Food Analytical Methods is 25. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Analyzing Milk Foam Using Machine Learning for Diverse Applications87
Preliminary Study Regarding the Optimisation of the Accelerated Ageing of Sugar Cane Spirit by Applying Ultrasound-Assisted Extraction and White Oak Chips (Quercus alba)76
The Analysis of Changes in Nutritional Components and Flavor Characteristics of Wazu Rice Wine During Fermentation Process49
Chocolate Tempering in a Rheometer: Monitoring Rheological Properties During and After Crystallization of Cocoa Butter49
Correction: Cold-induced Homogenous Liquid–Liquid Extraction Performed in a Refrigerated Centrifuge Combined with Deep Eutectic Solvent-based Dispersive Liquid–Liquid Microextraction for the Extractio45
Monitoring Seasonal Differences on Contamination and Carry-over of Zearalenone from Feedstuffs to Foods by Molecularly Imprinted Solid-phase Extraction and HPLC-FLD45
Green Extraction of Anthocyanins from Prunus domestica Using Natural Deep Eutectic Solvents: Anti-sickling Properties and Phenolic Impact Assessment44
Development of a Low-Temperature Purification Method for Gas Chromatography–Mass Spectrometry Quantification of Three Cresol Isomers in Smoked Bacon37
Analytical Method Development and Validation Based on Simple Color Reactions and Microwave Plasma–Atomic Emission Spectrometry (MP-AES) for the Detection of Adulteration in Teff Injera (Ethiopian Flat36
Discriminating Various Edible Gelatin with a Chemical Oscillator35
Unveiling Olive Oil Authenticity: A Comprehensive Study on Adulteration Detection through SPR-Enhanced Ellipsometry34
Molecular Marker-Based TaqMan PCR Approach for Determination of Origin and Content in Commercial Ginger Powder32
Machine Learning–Based Detection of Olive Oil Adulteration Using BME688 Gas Sensor Matrix29
Modeling and Simulation of Cutting Test of Rosa roxburghii by DEM29
Assessment and Comparison of Bioavailability of Cadmium in Different Foods Using In Vitro, In Cellulo, and In Vivo Models29
Quantitative Analysis of Perceived Saltiness through Combination of Sensory Evaluation and Electronic Tongue and its Method Validation28
Extraction, Optimization, Characterization, and Antioxidant Activities of Chinese Wild Rice Nanoparticles28
Optimization of the Extraction Conditions of Antioxidant Phenolic Compounds from Strawberry Fruits (Fragaria x ananassa Duch.) Using Response Surface Methodology28
Proteomics Analysis of Meat to Identify Goat Intramuscular Fat Deposits Potential Biomarkers27
A Sustainable Nanomaterial Based on Gold Nanoparticles and Graphene for Highly Sensitive Electrochemical Sensing of Caffeic Acid in Coffees26
Comparison of Ultrasound-Assisted Extraction of Pumpkin Seed Oil (Curcubita mochata) with Conventional Extraction Methods: Response Surface Methodology for the Optimizing of Ultrasound-Assisted Extrac26
SERS Sensor Based on Core–Shell Au@Ag Nanoparticles for the Sensitive Detection of Acrylamide in Foods26
Fabrication of Hybrid Silver Based Nanostructured Multi-sensor for Cutting Edge Sensitive Detection of Dual Adulterants from Milk System: A Statistically Validated Approach25
Comparative Analysis of Jordanian Olive Oils: Acid and Saponification Values, Phenolic and Flavonoid Contents and Antioxidant Activity25
Qualitative and Quantitative Analysis of Oxidative Degradation Products in Frying Oil by Three-Dimensional Fluorescence Spectroscopy with Metalloporphyrin-Based Sensor25
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