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Chemosensors, Volume 13, Issue 5 (May 2025) – 5 articles

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14 pages, 5530 KiB  
Article
Nondestructive Discrimination of Plant-Based Patty Containing Traditional Medicinal Roots Using Visible–Near-Infrared Hyperspectral Imaging and Machine Learning Techniques
by Gwanggeun Song, Hwanjo Chung, Reza Adhitama Putra Hernanda, Junghyun Lee and Hoonsoo Lee
Chemosensors 2025, 13(5), 158; https://doi.org/10.3390/chemosensors13050158 (registering DOI) - 25 Apr 2025
Abstract
The interest in traditional meat being replaced by plant-based food has increased throughout the years. Some agricultural products, such as root crops, could be incorporated into alternative meat products due to the health benefits. However, relevant studies have discovered that some roots are [...] Read more.
The interest in traditional meat being replaced by plant-based food has increased throughout the years. Some agricultural products, such as root crops, could be incorporated into alternative meat products due to the health benefits. However, relevant studies have discovered that some roots are considered allergen materials, necessitating further identification to maintain consumer safety. Aside from high accuracy, the limitations offered by traditional identification methods are a reason to employ nondestructive methods. This study aimed to develop a hyperspectral imaging system measuring the 400 nm to 1000 nm spectral range for the nondestructive identification of roots in soybean-based patty. Four thin-sliced traditional medicinal roots (tianma (Gastrodia elata), balloon flower root (Platycodon grandiflorum), deodeok (Codonopsis lanceolata), and ginseng (Panax ginseng)) were incorporated in a soybean-based patty with a concentration of 5% w/w. Moreover, support vector machine (SVM) learning and one-dimensional convolutional neural networks (1D-CNN) were realized for the discrimination model in tandem with spectral data extracted from the hyperspectral image. Our study demonstrated that SVM learning effectively discriminates between original patty and patty with root addition, with an F1-score, precision, and recall beyond 96.77%. This optimum model was achieved by using the standard normal variate (SNV) spectra. Full article
(This article belongs to the Special Issue Chemometrics Tools Used in Chemical Detection and Analysis)
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12 pages, 2669 KiB  
Article
Determination of Gaseous H2O2 Using UV-Vis Spectroscopy
by Adam Modic, Larisa Filip and Vasko Jovanovski
Chemosensors 2025, 13(5), 157; https://doi.org/10.3390/chemosensors13050157 - 24 Apr 2025
Abstract
The detection of gases and volatile compounds remains a significant analytical challenge, particularly in terms of sensitivity and selectivity. Many situations require rapid, sensitive, and yet easy-to-operate methods for detecting gaseous hydrogen peroxide (H2O2) under ambient conditions. In this [...] Read more.
The detection of gases and volatile compounds remains a significant analytical challenge, particularly in terms of sensitivity and selectivity. Many situations require rapid, sensitive, and yet easy-to-operate methods for detecting gaseous hydrogen peroxide (H2O2) under ambient conditions. In this study, we present two novel methodologies for the real-time monitoring of gaseous H2O2 based on colorimetric reactions, which are quantitatively analysed using UV-vis spectrometry. The proposed methods demonstrate high sensitivity in the low mg m−3 range, with a broad linear response within the tested concentration ranges of 0.4–17.6 mg m−3 and 10–90 mg m−3 after 20 min of accumulation under room-temperature conditions. The simplicity of the experimental setup, combined with robust analytical performance, highlights the potential applications of these methods in emerging fields such as clinical diagnostics, explosives detection, environmental monitoring, and occupational health and safety. Full article
(This article belongs to the Section Optical Chemical Sensors)
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31 pages, 6110 KiB  
Review
Recent Progress on Rare Earth Orthoferrites for Gas-Sensing Applications
by Ganesh Kotnana and Seongin Hong
Chemosensors 2025, 13(5), 156; https://doi.org/10.3390/chemosensors13050156 - 23 Apr 2025
Abstract
Gas-sensing technology is crucial for the detection of toxic and harmful gases to ensure environmental safety and human health. Gas sensors convert the changes in the conductivity of the sensing material resulting from the adsorption of gas molecules into measurable electrical signals. Rare [...] Read more.
Gas-sensing technology is crucial for the detection of toxic and harmful gases to ensure environmental safety and human health. Gas sensors convert the changes in the conductivity of the sensing material resulting from the adsorption of gas molecules into measurable electrical signals. Rare earth orthoferrite-based perovskite oxides have emerged as promising candidates for gas-sensing technology owing to their exceptional structural, optical, and electrical properties, which enable the detection of various gases. In this article, we review the latest developments in orthoferrite-based gas sensors in terms of sensitivity, selectivity, stability, operating temperature, and response and recovery times. It begins with a discussion on the gas-sensing mechanism of orthoferrites, followed by a critical emphasis on their nanostructure, doping effects, and the formation of nanocomposites with other sensing materials. Additionally, the role of the tunable bandgap and different porous morphologies with a high surface area of the orthoferrites on their gas-sensing performance were explored. Finally, we identified the current challenges and future perspectives in the gas-sensing field, such as novel doping strategies and the fabrication of miniaturized gas sensors for room-temperature operation. Full article
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13 pages, 3209 KiB  
Article
Volatile Organic Components and MS-e-nose Profiles of Indonesian and Malaysian Palm Sugars from Different Plant Origins
by Aldia Katherinatama, Yonathan Asikin, Ryo Amano, Siti Hajar-Azhari, David Yudianto, Dhina Aprilia Nurani Widyahapsari, I Wayan Rai Widarta, Kensaku Takara and Koji Wada
Chemosensors 2025, 13(5), 155; https://doi.org/10.3390/chemosensors13050155 - 22 Apr 2025
Abstract
The volatile profiles of palm sugar, a traditional sweetener used in Southeast Asia, vary according to its geographic and botanical origin. This study investigated the volatile organic components (VOCs) of Indonesian and Malaysian palm sugars derived from Arenga pinnata, Nypa fruticans, [...] Read more.
The volatile profiles of palm sugar, a traditional sweetener used in Southeast Asia, vary according to its geographic and botanical origin. This study investigated the volatile organic components (VOCs) of Indonesian and Malaysian palm sugars derived from Arenga pinnata, Nypa fruticans, and Cocos nucifera using solid-phase microextraction-GC-MS and MS-e-nose analyses. A total of 42 compounds were detected, including 12 Maillard reaction products, 10 esters, 8 alcohols, 5 ketones, 3 carboxylic acids, 3 phenols, and 1 aldehyde. The Indonesian palm (West Java) and nipa (Central Java) sugars contained VOCs of 39.45 and 38.49 µg/100 g palm sugar, respectively, whereas the Balinese palm and Malaysian coconut sugars contained significantly lower volatiles (18.56 and 11.41 µg/100 g, respectively). Hierarchical clustering and principal component analysis (PCA) revealed diverse composition profiles, with palm-derived sugars rich in pyrazines, nipa sugars dominated by carboxylic acids, and coconut sugars characterized by alcohols such as [R,R]-2,3-butanediol. PCA of the MS-e-nose analysis confirmed these variations, with PAR scaling enhancing their differentiation and providing valuable loading plots, including ion masses m/z 43 and 45 (hydrocarbons or carboxylic acids), m/z 60 (acetic acid), and m/z 108 (dimethyl-pyrazines). These findings highlight the influence of geography and plant origin on palm sugar VOCs, which may affect their sensory attributes. Full article
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13 pages, 3014 KiB  
Article
Construction of 2D TiO2@MoS2 Heterojunction Nanosheets for Efficient Toluene Gas Detection
by Dehui Wang, Jinwu Hu, Hui Xu, Ding Wang and Guisheng Li
Chemosensors 2025, 13(5), 154; https://doi.org/10.3390/chemosensors13050154 - 22 Apr 2025
Abstract
Monitoring trace toluene exposure is critical for early-stage lung cancer screening via breath analysis, yet conventional chemiresistive sensors face fundamental limitations, including compromised selectivity in complex VOC matrices and humidity-induced signal drift, with prevailing p–n heterojunction architectures suffering from inherent charge recombination and [...] Read more.
Monitoring trace toluene exposure is critical for early-stage lung cancer screening via breath analysis, yet conventional chemiresistive sensors face fundamental limitations, including compromised selectivity in complex VOC matrices and humidity-induced signal drift, with prevailing p–n heterojunction architectures suffering from inherent charge recombination and environmental instability. Herein, we pioneer a 2D core–shell n–n heterojunction strategy through rational design of TiO2@MoS2 heterostructures, where vertically aligned MoS2 nanosheets are epitaxially grown on 2D TiO2 derived from graphene-templated synthesis, creating built-in electric fields at the heterojunction interface that dramatically enhance charge carrier separation efficiency. At 240 °C, the TiO2@MoS2 sensor exhibits a superior response (Ra/Rg = 9.8 to 10 ppm toluene), outperforming MoS2 (Ra/Rg = 2.8). Additionally, the sensor demonstrates rapid response/recovery kinetics (9 s/16 s), a low detection limit (50 ppb), and excellent selectivity against interfering gases and moisture. The enhanced performance is attributed to unidirectional electron transfer (TiO2 → MoS2) without hole recombination losses, methyl-specific adsorption through TiO2 oxygen vacancy alignment, and steric exclusion of non-target VOCs via size-selective MoS2 interlayers. This work establishes a transformative paradigm in gas sensor design by leveraging n–n heterojunction physics and 2D core–shell synergy, overcoming long-standing limitations of conventional architectures. Full article
(This article belongs to the Special Issue Advanced Chemical Sensors for Gas Detection)
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