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- 7.3CiteScore
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Chemosensors
Chemosensors is an international, scientific,peer-reviewed, open access journal on the science and technology of chemical sensors and related analytical methods and systems, published monthly online by MDPI.
Quartile Ranking JCR - Q2 (Instruments and Instrumentation | Chemistry, Analytical | Electrochemistry)
All Articles (2,548)
- Article
Detection of Olive Oil Adulteration with Corn Oil Based on the Phenolic Compounds Profile Obtained by UHPLC-MS/MS
- Elisabeta-Irina Geana,
- Irina Mirela Apetrei and
- Constantin Apetrei
Unrefined vegetable oils are an important source of bioactive compounds with beneficial effects on health. Therefore, confirming the biological identity of oils is important for ethical and economic reasons. In this study, a method was developed for discriminating vegetable oils based on the phenolic compounds profile obtained by ultrahigh-performance liquid chromatography-mass spectrometry (UHPLC-MS/MS). It was found that extra virgin olive oil has a cinnamic acid content of 2.2 mg/kg (mean value), a much higher value compared to other oils (not detected—0.4 mg/kg), thus being a representative phenolic marker for this oil. From the phenolic compounds profile of different vegetable oils, it can be stated that extra virgin olive oil has a specific phenolic content. However, walnut, sunflower, and corn oils have some similarities regarding the phenolic compounds content (for instance, ellagic acid) and, therefore, these oils can be used as adulterants of extra virgin olive oil. Data analysis, including principal component analysis, hierarchical cluster analysis, and partial least-squares discriminant analysis, demonstrated the discrimination of olive oils from other vegetable oils. Data analysis also allowed the discrimination and classification of olive oil samples adulterated with corn oil when the percentage of adulterant was 1%, with an accuracy of more than 90%.
27 November 2025

- Article
Assay of Two Antibacterial/Anticoccidial Drugs in Combination with Vitamin K3 for Oral Solutions: Stability Studies and Method Development Using HPLC-DAD: Appraisal of the Method’s Eco-Friendliness and Functionality
- Lateefa A. Al-Khateeb,
- Mohamed Ahmed Elsayed and
- Rehab Moussa Tony
- + 1 author
A novel, green, stability-illustrating HPLC-DAD method was validated for the simultaneous analysis of menadione (MND), dimetridazole (DMT), and sulfadimethoxine sodium (SLF) in a veterinary powder for the first time. These compounds are commonly combined in veterinary premixes and powders to enhance animal growth, prevent bacterial infections, and improve feed efficiency. Separation was achieved isocratically on a C18 column using a mobile phase of 0.05M KH2PO4: acetonitrile (80:20,v/v) at a flow rate of 2.0 mL/min, with detection at 260 nm. The represented HPLC-DAD method was rapid, yielding retention times under 5.2 min, and exhibited excellent linearity over the tested ranges (10.0–30.0, 20.0–60.0, and 20.0–60.0 µg/mL for MND, DMT, and SLF, respectively). Forced degradation studies, conducted according to the International Council for Harmonisation (ICH) guidelines, confirmed the method’s specificity in distinguishing the active pharmaceutical ingredients from their degradation products. The highest degradation was observed for MND (photolytic, 26.52%), DMT (alkaline, 21.12%), and SLF (oxidative, 27.16%). The method’s environmental sustainability was evaluated using the Analytical GREEnness (AGREE) metric (score: 0.75) and the Green Analytical Procedure Index (GAPI), while its practicality was supported by a high Blue Applicability Grade Index (BAGI) score of 80.0. This stability-indicating method represents the first robust, green, and reliable analytical approach for this triple veterinary formulation.
24 November 2025

- Article
XPS Study of Nanostructured Pt Catalytic Layer Surface of Gas Sensor Dubbed GMOS
- Hanin Ashkar,
- Sara Stolyarova and
- Tanya Blank
- + 1 author
The long-term reliability of catalytic gas sensors is strongly influenced by changes in the chemical state and cleanliness of the catalyst surface. In this work, we investigate the surface composition and stability of the platinum (Pt) nanoparticle catalytic layer in Gas Metal-Oxide-Semiconductor (GMOS) sensors under varying environmental conditions. Using X-ray Photoelectron Spectroscopy (XPS) and High-Resolution (HR) XPS, we compared fresh, aged samples, thermally treated samples, and samples stored with or without a mechanical filter. The results show that prolonged ambient storage leads to the accumulation of adventitious carbon and nitrogen-containing species, as well as partial oxidation of platinum, which reduces the number of active metallic Pt sites. Thermal treatment at 300 °C for 30 min restores metallic Pt exposure by removing surface contaminants and narrowing the Pt 4f peaks. However, recontamination occurs during subsequent storage, with significant differences depending on surface protection. Sensors equipped with a mechanical filter exhibited obvious Pt metallic peaks in HR-XPS analysis, with lower carbon and nitrogen levels, compared to unprotected samples. These findings demonstrate that while heating refreshes catalytic activity, long-term stability requires complementary filtration to prevent re-adsorption of airborne species. The combined approach of heating and filtration is thus essential to ensure reliable performance of GMOS sensors for indoor and outdoor air quality monitoring.
24 November 2025

- Article
A Simplified Multi-Residue Method Using μSPE Clean-Up Combined with Gas Chromatography-High Resolution Mass Spectrometry for the Determination of 250 Pesticide Residues in Cow’s Milk
- Marta Vargas-Pérez,
- Osmar D. Prestes and
- Roberto Romero-González
- + 1 author
The complexity of the milk matrix, driven by its lipid-rich composition, complicates pesticide residue analysis. This study developed a simplified and robust analytical procedure for the quantification of 250 pesticides in cow’s milk. Sample preparation involved acidified ethyl acetate extraction followed by centrifugation at 0 °C. A subsequent clean-up step was performed using micro solid-phase extraction (μSPE) in a 96-well format with the enhanced matrix removal-lipid (EMR-lipid) sorbent. Final extracts were analyzed by gas chromatography coupled to high-resolution mass spectrometry (GC-Q-Orbitrap-MS). Method validation demonstrated satisfactory linearity within the 5–100 µg/L range, recoveries between 70.6% and 119.8%, and precision, expressed as relative standard deviation (RSD), was acceptable for both intraday (1.8–19.2%) and interday (1.6–18.5%) conditions. The limit of quantification (LOQ) was set at 10 µg/kg for all compounds. The method was applied to 23 commercial cow’s milk samples, and no pesticide residues were detected above the current European Union (EU) maximum residue limits (MRLs).
22 November 2025

Highly Accessed
- Review
Carbon Nanotube-Based Chemical Sensors: Sensing Mechanism, Functionalization and Applications
- Jie Tang,
- Ruirui Li and
- Subhan Mahmood
- + 2 authors
10 October 2025
Highly Accessed
- Review
From Volatile Profiling to Sensory Prediction: Recent Advances in Wine Aroma Modeling Using Chemometrics and Sensor Technologies
- Fernanda Cosme,
- Alice Vilela and
- Ivo Oliveira
- + 3 authors
5 September 2025
Highly Accessed
- Article
Investigation of Distinct Odor Profiles of Blood over Time Using Chemometrics and Detection Canine Response
- Fantasia Whaley,
- Valerie Albizu and
- Jordi Cruz
- + 2 authors
11 September 2025
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Advances in Analysis of Flavors and Fragrances
Chemistry, Properties and Applications in Food Quality ImprovementEditors:Ana Leahu, Maria Soledad Prats Moya, Cristina Ghinea
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