Article
Geochemistry & Geophysics
Pia Brinkmann, Nicole Koellner, Sven Merk, Toralf Beitz, Uwe Altenberger, Hans-Gerd Loehmannsroeben
Summary: Copper's properties make it one of the most important functional metals in the world, and the demand for copper is increasing. Laser Induced Breakdown Spectroscopy (LIBS) is a promising technique for on-site measurement without sample collection and preparation. This study examines copper-bearing minerals from two different deposits using various analytical approaches.
Review
Chemistry, Analytical
L. Ortiz-Herrero, M. I. Maguregui, L. Bartolome
Summary: This review emphasizes the powerful applicability of multivariate regression methods in forensic dating, providing insights into the benefits and drawbacks of using these methods and proposing suggestions on how to make optimal use of them.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2021)
Article
Automation & Control Systems
Di Song, Qianyi Wu, Mohammed Kamruzzaman
Summary: Informative spectral bands were selected from NIR spectroscopy to determine the proximate compositions in meat. Calibration models developed using these bands showed better prediction accuracy compared to individual bands and full spectral range, especially when non-linear calibration was used. The results suggest the effectiveness of common informative bands for predicting multiple quality attributes in meat.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Food Science & Technology
Maria Sabbagh, Luciano Gutierrez, Roberto Lai, Giuseppe Nocella
Summary: Enhancing willingness to eat edible offal can help reduce greenhouse gas emissions from meat production and provide protein-rich food for a growing global population. This study found that food neophobia and food disgust sensitivity have direct negative impacts on the intention to consume beef offal, as well as indirect impacts through attitudes, subjective norms, and perceived behavioral control.
Article
Spectroscopy
Miguel F. S. Ferreira, Diana Capela, Nuno A. Silva, Filipe Goncalves, Alexandre Lima, Diana Guimaraes, Pedro A. S. Jorge
Summary: This study compares the performance of different algorithms for quantifying lithium in mining prospecting, revealing that nonlinear methods outperform linear methods, especially within typical concentration ranges for mining operations.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2022)
Article
Chemistry, Analytical
Alessandro Nardecchia, Anna de Juan, Vincent Motto-Ros, Michael Gaft, Ludovic Duponchel
Summary: Laser-induced breakdown spectroscopy (LIBS) imaging is an innovative technique that utilizes powerful pulse lasers and chemometric analysis to capture atomic, ionic, and molecular emission signals in samples, but the complex data processing requires compression and fusion to achieve fast and reliable signal unmixing.
ANALYTICA CHIMICA ACTA
(2022)
Review
Chemistry, Analytical
L. Brunnbauer, Z. Gajarska, H. Lohninger, A. Limbeck
Summary: LIBS-based classification has attracted increasing interest in recent years. LIBS is a suitable technique for classification tasks based on elemental fingerprinting, providing fast simultaneous multi-element analysis with stand-off, online, and portable capabilities. However, the use of classification algorithms as black boxes hinders their adequate application, especially for non-data scientists. This review comprehensively introduces the steps and principles of achieving a well-performing classifier from recorded LIBS data, and discusses the advantages, limitations, and diversity of machine learning algorithms used in LIBS-classification literature.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Vikas Gupta, Abhishekh Kumar Rai, Tejmani Kumar, Akash Tarai, G. Manoj Kumar Gundawar, A. K. Rai
Summary: The present study investigates the utility of calibration-free LIBS and calibration curve methods for quantitative analysis of the composition of different alloys. The results show that these methods can be performed online and in situ without the need for sample preparation, providing an efficient and cost-effective approach for compositional analysis.
ANALYTICAL SCIENCES
(2023)
Article
Chemistry, Multidisciplinary
Sangmi Yoon, Jaeseung Choi, Seung-Jae Moon, Jung Hyun Choi
Summary: This study explored the determination and quantification of heavy metals in sediments using a LIBS system and multivariate chemometric analysis. The results showed that LIBS technique could distinguish different sediment types, while the SG derivative could enhance the performance of the PLSR model, particularly in the analysis of Cd.
APPLIED SCIENCES-BASEL
(2021)
Article
Food Science & Technology
Nur Cebi, Osman Taylan, Mona Abusurrah, Osman Sagdic
Summary: Lemon essential oil is economically important in the food and beverage industry, but is often adulterated, calling for effective analytical techniques. Research shows that FTIR spectroscopy combined with multivariate analyses is highly effective in detecting and quantifying adulterants in lemon essential oil.
Article
Agriculture, Dairy & Animal Science
Maureen Middleton, Manuel Olivares, Alejandra Espinoza, Miguel Arredondo, Fernando Pizarro, Carolina Valenzuela
Summary: This study found that pigs raised on intensive farms are prone to developing iron-deficiency anemia if not given supplemental iron at birth. Excessive oral iron supplementation in pigs was shown to reduce zinc content in pork.
Article
Chemistry, Analytical
Silvia Perez-Diez, Luis Javier Fernandez-Menendez, Marco Veneranda, Hector Morillas, Nagore Prieto-Taboada, Silvia Fdez-Ortiz de Vallejuelo, Nerea Bordel, Alberta Martellone, Bruno De Nigris, Massimo Osanna, Juan Manuel Madariaga, Maite Maguregui
Summary: The crystallization of soluble salts on the mural paintings of Pompeii is a common degradation phenomenon caused by volcanic salts, local groundwater, and other ions. By combining different spectroscopic techniques, the distribution and migration of salts can be better understood, providing valuable insights for the preservation of Pompeian mural paintings.
ANALYTICA CHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Congrong Guan, Tianyu Wu, Jiwen Chen, Ming Li
Summary: The DSC-PLS method was proposed to improve the analysis accuracy of laser-induced breakdown spectroscopy (LIBS) in predicting carbon content of pulverized coal. By utilizing various correction algorithms, the method significantly enhances the prediction ability and reduces prediction error.
Article
Chemistry, Analytical
Qian Zhao, Yang Yu, Nan Hao, Peiqi Miao, Xiaoli Li, Changqing Liu, Zheng Li
Summary: The fusion models of Near-infrared (NIR) and Laser-induced breakdown spectroscopy (LIBS) data are highly feasible for the rapid detection of heavy metals in lily, providing accurate prediction results.
MICROCHEMICAL JOURNAL
(2023)
Article
Automation & Control Systems
Gian Alix, Elizabeth Lymer, Guanlin Zhang, Michael Daly, Xin Gao
Summary: The exploration and analysis of chemical components in (extra-)terrestrial materials play an important role in modern research. Laser-induced breakdown spectroscopy (LiBS) is a widely used method for analyzing the chemical attributes of geological samples. This study compared the performances of different machine learning models in predicting elemental abundances and found that partial least squares (PLS) and extreme gradient boost machines (XGB) outperformed others in terms of predictive power, generalization ability, and runtime efficiency. The study also proposed the use of ensemble models to aggregate predictions from top-performing models, which showed promising results.
JOURNAL OF CHEMOMETRICS
(2023)
Article
Physics, Applied
Anne Mai-Prochnow, David Alam, Renwu Zhou, Tianqi Zhang, Kostya (Ken) Ostrikov, Patrick J. Cullen
Summary: The study demonstrates that atmospheric air plasma bubbles are an effective, energy-efficient, and residue-free alternative for decontamination, with higher plasma discharge frequencies leading to greater reduction in bacterial colony-forming units. Scanning electron microscopy images of treated bacteria show cell damage, while an increase in conductivity and various chemical concentrations in plasma-activated water contribute to the observed antimicrobial effect.
PLASMA PROCESSES AND POLYMERS
(2021)
Article
Food Science & Technology
Y. Dixit, S. Hitchman, T. M. Hicks, P. Lim, C. K. Wong, L. Holibar, K. C. Gordon, M. Loeffen, M. M. Farouk, C. R. Craigie, M. M. Reis
Summary: This study evaluated the performance of various diffuse reflectance spectroscopic and imaging instruments for predicting pH, IMF, and shear force values of beef. The results showed that spectroscopic measurements combined with chemometrics have the potential to be used as an effective quality monitoring system for the meat processing industry.
Article
Food Science & Technology
Y. Dixit, M. Al-Sarayreh, C. R. Craigie, M. M. Reis
Summary: This study demonstrates a novel approach to develop global calibration models for predicting intramuscular fat (IMF) and pH across various red meat species and muscle types. These prediction models, developed using Partial Least Squares Regression (PLSR) and Deep Convolutional Neural Networks (DCNN), showed high accuracy in predicting pH and IMF values in red meat samples.
Article
Physics, Applied
Sen Wang, Zikai Zhou, Renwu Zhou, Zhi Fang, Patrick. J. Cullen
Summary: This study investigated the discharge characteristics and long-lived aqueous reactive species under different initial pH conditions. It was found that the gas-liquid discharge plasma obtained relatively high vibrational energy under neutral solution conditions, while concentrations of oxygen-containing species were higher at an initial pH of 9.0.
JOURNAL OF APPLIED PHYSICS
(2021)
Article
Nanoscience & Nanotechnology
Sebnem Gunes, Zhonglei He, David van Acken, Renee Malone, Patrick J. Cullen, James F. Curtin
Summary: Platinum nanoparticles (PtNPs) have shown potential protective effects against cold atmospheric plasma (CAP)-induced cytotoxicity, particularly in cancerous and non-cancerous cell lines. PtNPs effectively scavenge intracellular reactive oxygen and nitrogen species (RONS) and provide protection. While PtNPs do not significantly affect cell membrane permeabilization induced by CAP, they can reduce mitochondrial membrane depolarization.
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
(2021)
Article
Physics, Applied
Janith Wanigasekara, Carlos Barcia, Patrick J. Cullen, Brijesh Tiwari, James F. Curtin
Summary: The aim of this study was to investigate the effects of pin-to-plate cold atmospheric plasma (CAP) on U-251 MG 3D glioblastoma spheroids under different conditions. The study found that the spheroids showed higher resistance to the CAP treatment compared to the 2D monolayer cells. It was also identified that reactive oxygen species (ROS) played a major role in CAP-induced cytotoxicity.
PLASMA PROCESSES AND POLYMERS
(2022)
Article
Physics, Applied
Andressa M. Aguiar de Carvalho, Laurence Scally, Brijesh Tiwari, Patrick J. Cullen, James F. Curtin
Summary: The aim of this study was to investigate the enhanced anticancer effects of cold atmospheric plasma by using sonoporation of cancer cells with ultrasound technology. US-induced transient sonoporation of cancer cells was observed to have little to no cytotoxicity. Synergistic effects were observed when combining ultrasound with both direct and indirect cold atmospheric plasma, and these cytotoxic effects were dependent on reactive species production. This is the first evaluation of these two nonthermal technologies in cancer cells, demonstrating a promising combined strategy for cancer therapies, particularly for glioblastoma with penetration limitations.
PLASMA PROCESSES AND POLYMERS
(2022)
Article
Computer Science, Information Systems
N. N. Misra, Yash Dixit, Ahmad Al-Mallahi, Manreet Singh Bhullar, Rohit Upadhyay, Alex Martynenko
Summary: The Internet of Things (IoT), big data, and artificial intelligence (AI) have significantly impacted the agricultural and food industry, providing opportunities for monitoring, supply chain modernization, social media applications, food quality assessment, and food safety.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Food Science & Technology
Aswathi Soni, Yash Dixit, Marlon M. Reis, Gale Brightwell
Summary: This review summarizes the work done in the field of hyperspectral imaging (HSI) for detecting foreign particles in food, with a focus on challenges, risks, and research gaps. The application of machine learning and modeling approaches to improve accuracy and detection limit is discussed. Detecting microbial contaminants in food using HSI can prevent outbreaks and recalls, and increase consumer acceptance and demand for shelf-stable food products.
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
(2022)
Article
Physics, Applied
Xu Lu, Sen Wang, Renwu Zhou, Zhi Fang, P. J. Cullen
Summary: Plasma bubbles are an efficient way to generate reactive species through plasma discharges and liquids. This study investigates discharge modes, characteristics, and plasma-liquid interactions in different electrode configurations. Direct contact between the discharge and solution in the bare electrode design greatly enhances physio-chemical reactions.
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Engineering, Chemical
Y. Dixit, M. M. Reis
Summary: This study assessed the applicability of a portable hyperspectral imaging (HSI) system based on snapshot sensors for online assessment of salmon. The results showed that the snapshot HSI system can successfully predict the fat content in salmon fillets and has great potential for online applications.
JOURNAL OF FOOD ENGINEERING
(2023)
Review
Agriculture, Multidisciplinary
Maria Markiewicz-Keszycka, Aileen Carter, Donal O'Brien, Maeve Henchion, Simon Mooney, Paul Hynds
Summary: Milk and beef derived from pasture-based systems have higher nutritional values and lower environmental footprints compared to indoor systems. However, intensification of pasture-based production can negatively impact biodiversity and the environment. This study aimed to review current pro-environmental measures in pasture-based agriculture and farmer attitudes towards these measures. It also highlighted the fragmented and narrow focus of previous studies and the need for holistic approaches to pro-environmental diversification.
RENEWABLE AGRICULTURE AND FOOD SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Usha Ramanathan, Ramakrishnan Ramanathan, Abiodun Adefisan, Tamiris Da Costa, Xavier Cama-Moncunill, Gautam Samriya
Summary: This paper presents the experiences of using IoT sensors and Big Data technology to reduce food waste in a frozen food manufacturer in the UK. By monitoring temperature and humidity in real-time and analyzing the data, the company was able to identify optimal storage conditions, reduce food waste, and assure product quality.
Article
Engineering, Environmental
Jing Sun, Tianqi Zhang, Jungmi Hong, Rusen Zhou, Hassan Masood, Renwu Zhou, Anthony B. Murphy, Kostya Ken Ostrikov, Patrick J. Cullen, Emma C. Lovell, Rose Amal, Ali Rouhollah Jalili
Summary: Current industrial nitrogen fixation technology relies on fossil fuels and has negative environmental impacts, but using electricity-driven non-thermal plasma catalysis shows promise for sustainable nitrogen fixation. This study combines a structured catalyst with a water-electrode bubble reactor to fix nitrogen at ambient conditions with high selectivity and stability. The enhanced production of nitrate ions is attributed to abundant oxidized nitrogen species from the air plasma, with the TiO2 supported by graphene oxide playing a crucial role in improving nitric oxide surface association and minimizing backward dissociation. These findings advance the potential of plasma-catalyzed nitrogen fixation for clean energy and eco-friendly chemical production.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Microbiology
Joanna G. G. Rothwell, Jungmi Hong, Stuart J. J. Morrison, Heema Kumari Nilesh Vyas, Binbin Xia, Anne Mai-Prochnow, Robyn McConchie, Kim-Yen Phan-Thien, Patrick J. J. Cullen, Dee A. A. Carter
Summary: Plasma-activated water (PAW) is a competitive sanitizer technology in the fresh food industry, achieving significant reduction of pathogens and spoilage microorganisms while maintaining the quality and shelf life of the produce item.
MICROBIOLOGY SPECTRUM
(2023)
Article
Chemistry, Analytical
Qian Wu, Li Tian, Xiangyu Shan, Huiling Li, Chao Li, Juan Lu
Summary: A novel ECL sensor was developed by modifying Fe3CuO4-Ru(bpy)3+ and GO-CdS@ZnS on the electrode for the detection of permethrin. The sensor exhibited high sensitivity and a wide detection range.
Article
Chemistry, Analytical
Tingting Gong, Lei Liao, Bingying Jiang, Ruo Yuan, Yun Xiang
Summary: In this study, a fluorescent biosensing system for high sensitivity detection of MT was established using a new Ag+-stabilized DNA triplex probe (Ag+-SDTP) combined with catalytic hairpin assembly (CHA) and CRISPR/Cas12a signal enhancements. The sensing method is able to selectively detect MT from other non-specific molecules and can achieve low level detection of MT in diluted human serums, demonstrating its potential for monitoring disease-specific MT biomarker at trace levels.
Article
Chemistry, Analytical
Estrella Sanz Rodriguez, Kyra Wood, Paul R. Haddad, Brett Paull
Summary: This study presents a simple, rapid, and reliable method for determining boron in aqueous solutions using suppressed ion chromatography coupled to electrospray ionisation-triple quadrupole mass spectrometry. The method achieved a low limit of detection and demonstrated excellent analytical performance.
Article
Chemistry, Analytical
Aline Cournut, Paul Moustiez, Yannick Coffinier, Christine Enjalbal, Claudia Bich
Summary: Alzheimer's disease is a major cause of senile dementia and is characterized by the aggregation of neurofibrillary tangles and amyloid plaques in the brain. The A beta 1-42 peptide is considered the primary cause of neurotoxicity due to its insolubility and subsequent aggregation. A beta 1-42 and A beta 1-40 have been identified as relevant biomarkers for AD diagnosis, and SurfaceAssisted Laser Desorption/Ionization Mass Spectrometry (SALDI-MS) was used to monitor the A beta 1-42/A beta 1-40 ratio without prior sample treatment.
Article
Chemistry, Analytical
Dotse Selali Chormey, Buse Tugba Zaman, Tulay Borahan Kustanto, Sezin Erarpat Bodur, Suleyman Bodur, Elif Ozturk Er, Sezgin Bakirdere
Summary: This review provides an overview of the harmful effects of endocrine disrupting chemicals (EDCs) on human health and introduces the methods for analyzing EDCs. Recent research has focused on using green chemicals, such as deep eutectic solvents (DESs), for microextraction to ensure environmental safety.
Article
Chemistry, Analytical
Yan Zhang, Renfeng Xu, Jingjing Wu, Zhenghong Zhang, Yuhuang Wang, Hongqin Yang, Sheng Zhang
Summary: This study visualized the pore-like structures in prostate cancer cell membranes after treatment with the anticancer drug paclitaxel, demonstrating its mechanism of action related to oxidative damage.
Article
Chemistry, Analytical
Chihong Ma, Qin Zhou, Jinjin Shi, Hua Gao, Di Huang, Huimin Xue, Han Wang, Zhenzhong Zhang, Sen Yang, Junli Zhang, Kaixiang Zhang
Summary: We developed a CRISPR-empowered electrochemical biosensor, named PER-E-CRISPR, for amplification-free and sensitive detection of miR-21. The biosensor combines the advantages of CRISPR/Cas13a and primer exchange reaction (PER) for target amplification. Under optimized conditions, the PER-E-CRISPR assay exhibits a linear range from 10-13 to 10-7 M and a limit of detection of 30.2 fM. The biosensor shows excellent performance in actual plasma, indicating promising prospects for miRNA detection in molecular diagnosis.
Article
Chemistry, Analytical
Gang Liang, Jie Zhao, Yufei Gao, Tao Xie, Jianhui Zhen, Ligang Pan, Wenwen Gong
Summary: Molecular docking (MD) analysis is widely used for studying the interaction between aptamers and small molecules. This study established steady-state aptamers of tertiary structures (SATS) using specific aptamers of tetracycline antibiotics as docking models. Molecular docking results revealed multiple binding sites in the SATS of aptamers, with significant variations in binding free energy (BFE) and docking score (DS). The study also proposed a method for MD analysis based on SATS, providing insights into binding mode and predicting binding sites.
Article
Chemistry, Analytical
Yixuan Xu, Changchang Teng, Huiping Dang, Dalong Yin, Lifeng Yan
Summary: Stable organic radical molecules with high NIR fluorescence quantum efficiency have been synthesized and encapsulated into nanoparticles, which show great potential for both photodynamic therapy (PDT) and photothermal therapy (PTT) of tumors.
Article
Chemistry, Analytical
Yu Su, Dandan Yang, Yanjie Wang, Jie Ding, Lan Ding, Daqian Song
Summary: In this study, a highly selective molecularly imprinted polymer Cu-MIPs@CS was designed and synthesized for bisphenol A (BPA). Cu-MIPs@CS showed significantly enhanced imprinting factor and selective factor towards BPA compared to MIPs@CS. It also exhibited superior discrimination ability between BPA and its structural analogue. Additionally, Cu-MIPs@CS were successfully applied as a solid phase extraction adsorbent for the determination of BPA in drinking water samples.
Article
Chemistry, Analytical
Yi Qiao, Qiongdan Zhang, Yukun He, Tianguang Cheng, Jing Tu
Summary: Single cell heterogeneity plays an important role in many biological phenomena, and distinguishing cells with specific mutations is beneficial for clinical diagnosis and drug screening. This study introduces a gel plate platform that can distinguish cell types based on their phenotypes, with low equipment requirement. The gel platform has potential in point-of-care circumstances and single-cell stimulation responses that prioritize efficiency and simplicity.
Article
Chemistry, Analytical
Chengke Wang, Shuyang Sun, Ping Wang, Huawei Zhao, Wenling Li
Summary: The food safety of aquatic products is a global concern. Nanotechnology-based analyses have advantages in the detection of bacteria, metal ions, and small molecule contaminants. This review summarizes the recent advances in biosensing strategies for aquatic products and highlights the application of nanomaterials, lateral flow-based biosensors, surface-enhanced Raman scattering, microfluidic chips, and molecular imprinting technologies.
Article
Chemistry, Analytical
Liping Zhu, Zeng Tang, Xuemei Zhang, Li Zhu, Tian Meng, Linying Yu, Ting Xiao, Shasha Lu, Xiaoli Xiong, Xiurong Yang
Summary: A sensitive off-on electrochemiluminescence DNA sensor was developed using Exo III-assisted cascade amplification system. The sensor achieved high selectivity and ultra-high sensitivity in detecting target DNA by utilizing ECL and SPR effects. This study provides a new perspective for designing highly sensitive and programmable ECL biosensors.
Article
Chemistry, Analytical
Tong Li, Mengxu Sun, Suping Xia, Ting Huang, Rong-Tian Li, Chunrong Li, Zong Dai, Jin-Xiang Chen, Jun Chen, Nuan Jia
Summary: Here, we developed a binary system based on DNA tetrahedron and fluorogenic RNA aptamers for highly specific and label-free mRNA imaging in living cells. This system achieved high specificity label-free detection of nucleic acids with a detection limit of 1.34 nM. The method has potential applications in early disease diagnosis and new drug development.
Article
Chemistry, Analytical
Yao Zhao, Shu Zhang, Wang Yao, Yuxuan Zhu, Jing Qian, Juan Yang, Nianjun Yang
Summary: A new hierarchical nanostructured composite with high conductivity and catalytic activity is synthesized. The sensor exhibits significant catalytic effect and high sensitivity for monitoring the environmental endocrine disruptor bisphenol A (BPA).
