Article
Chemistry, Analytical
Jamile Mohammad Jafari, Roma Tauler, Hamid Abdollahi
Summary: The paper introduces a new method - Balanced Scaling (BS) method, combined with Multivariate Curve Resolution Alternating Least Squares (BSMCR-ALS) method, for analyzing data sets with heteroscedastic noise, showing good performance especially in environmental data analysis. Comparisons with other methods revealed that BS-MCR-ALS and MLPCA-MCR-ALS solutions were very similar in performance.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Medicinal
Tahereh G. Avval, Behnam Moeini, Victoria Carver, Neal Fairley, Emily F. Smith, Jonas Baltrusaitis, Vincent Fernandez, Bonnie J. Tyler, Neal Gallagher, Matthew R. Linford
Summary: Unsupervised exploratory data analysis (EDA) is crucial in understanding complex data sets. This paper compares the performance of various summary statistics in EDA, highlighting the superiority of pattern recognition entropy (PRE). The introduction of divided spectrum-PRE (DS-PRE) enhances the discrimination power of PRE and can be used in conjunction with the k-nearest neighbor (kNN) algorithm, making PRE and DS-PRE effective tools for unsupervised EDA.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2021)
Article
Environmental Sciences
Zoltan Horvat, Mirjana Horvat, Kristian Pastor, Vojislava Bursic, Nikola Puvaca
Summary: This study explored the potential of using principal component analysis and other multivariate analysis techniques to evaluate water quality data from the Danube River. The results indicated clear clustering of sampling points with respect to their cross-sections, suggesting the significant impact of cross-section position on measured water quality parameters.
Article
Chemistry, Analytical
Carollina de Melo Molinari Ortiz Antunes, Frederico Luis Felipe Soares, Noemi Nagata
Summary: Chemical analyses based on digital images are widely studied due to their non-invasive nature and simplicity. However, controlling instrumental and structural parameters for image acquisition is crucial for analysis repeatability and reproducibility. The high cost of accessing robust instruments is also a practical limitation. To overcome these limitations, a low-cost prototype using Raspberry Pi and multivariate tools was developed.
MICROCHEMICAL JOURNAL
(2023)
Article
Ecology
Michael L. Collyer, Dean C. Adams
Summary: Phylogenetically aligned component analysis (PACA) is a new ordination approach that aligns phenotypic data with phylogenetic signal, allowing visualization of trends in phylogenetic signal in multivariate data spaces. By maximizing variation in directions that describe phylogenetic signal, PACA can distinguish between weak and strong phylogenetic signals, providing a more precise description of the phylogenetic signal in studies focused on phylogenetic signal. Comparing PACA and Phy-PCA results can help determine the relative importance of phylogenetic and other signals in the data.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Engineering, Multidisciplinary
Zhijiang Lou, Zedong Li, Youqing Wang, Shan Lu
Summary: This paper introduces an improved neural component analysis (INCA) method, which addresses the issue of NCA's inability to handle non-Gaussian features by proposing a new cost function based on kurtosis. It also improves the extraction of key information from process data by selecting principal components (PCs) in the original data space. Experimental results show that INCA outperforms other methods in fault detection.
Article
Chemistry, Analytical
Yusheng Lang, Lilin Zhou, Yutaka Imamura
Summary: Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is an important analysis technique for gathering information from surfaces. This study proposed a new approach that treats ToF-SIMS spectra as images and uses convolutional neural network (CNN) for analysis, avoiding the challenges of descriptor generation.
ANALYTICAL CHEMISTRY
(2022)
Article
Medicine, Legal
Norimitsu Akiba, Atsushi Nakamura, Takayuki Sota, Kazuhito Hibino, Hidetoshi Kakuda, Maurice C. G. Aalders
Summary: This study presents a method for separating overlapping fingerprints using the difference in fluorescence spectra. Hyperspectral data was recorded using a hyperspectral imager, and PCA and MCR-ALS were applied to determine the optimal method for obtaining high-contrast individual fingerprint images. The results showed that using MCR-ALS combined with PCA-based initialization can successfully separate overlapping fingerprints into individual fingerprints, and a parameter-free separation method was proposed.
JOURNAL OF FORENSIC SCIENCES
(2022)
Review
Instruments & Instrumentation
J. Renwick Beattie, Francis W. L. Esmonde-White
Summary: Spectroscopy rapidly captures a large amount of data, which is processed using principal component analysis to simplify complex spectral datasets into comprehensible information. Despite its wide use, the linear algebra behind principal component analysis is often not well understood by applied scientists and spectroscopists. The process traces the journey of spectra and relies solely on the information within the spectra to provide meaningful interpretation and analysis.
APPLIED SPECTROSCOPY
(2021)
Article
Chemistry, Analytical
Somaye Vali Zade, Hamid Abdollahi
Summary: Pattern recognition models establish the relationship between variables and object classes. Different algorithms are needed to account for variations in measured variables, object patterns, and relationship models. MCR-ALS method, which incorporates physical and chemical information, simplifies result interpretation. The efficiency of MCR-DA and PLS-DA methods were evaluated and compared for discriminating olive oil samples.
MICROCHEMICAL JOURNAL
(2023)
Article
Geochemistry & Geophysics
Gemine Vivone, Mauro Dalla Mura, Andrea Garzelli, Rocco Restaino, Giuseppe Scarpa, Magnus O. Ulfarsson, Luciano Alparone, Jocelyn Chanussot
Summary: This article introduces the concept of pansharpening and the latest advances in MS pansharpening, proposing a new benchmark for comparing different methods on various scenarios and sensors.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2021)
Article
Biochemistry & Molecular Biology
Anastasiia Surkova, Andrey Bogomolov
Summary: By utilizing confocal Raman microscopy, this study investigates the chemical microstructure of milk samples of various compositions. The results show the spatial distribution of the main chemical components, such as fat, protein, and lactose, using intuitive graphical maps.
Article
Acoustics
Bangxiong Pan, Xiaodan Zhao, Limei Wang, Xiuliang Zhao
Summary: This paper investigates the extraction of combustion information from vibration signals measured from a diesel engine cylinder head. By simulating vibration signals caused by different factors and applying principal component analysis (PCA), the contribution level of combustion excitation response signals under different working conditions is analyzed. The effects of rotation speed, torque, and measuring point position on the contribution level are discussed. Additionally, a deviation correction method for the identified phase combustion parameter is proposed to improve recognition accuracy.
Article
Chemistry, Analytical
Silvia Mas Garcia, Maxime Ryckewaert, Florent Abdelghafour, Maxime Metz, Daniel Moura, Carole Feilhes, Fanny Prezman, Ryad Bendoula
Summary: This study proposes a method for detecting grapevine diseases using hyperspectral imaging, combining MCR-ALS and FDA for reliable data analysis. The MCR-ALS/FDA discrimination model achieved a high level of correct pixel discrimination rates, with only a few misclassified images. The strategy shows potential for detecting flavescence doree and other phytopathologies.
Review
Food Science & Technology
Quang Trung Nguyen, Thanh Thao Nguyen, Van Nhan Le, Ngoc Tung Nguyen, Ngoc Minh Truong, Minh Tao Hoang, Thi Phuong Thao Pham, Quang Minh Bui
Summary: This paper presents a systematic literature review on the use of ICP-MS combined with PCA for determining the geographical origin of plant foods. The results indicate that ICP-MS with PCA is a useful tool widely used for authenticating the geographic origin of plant food. The review encourages the discussion of introducing an international standard for plant food traceability using this method.
Article
Environmental Sciences
Guillermo Gallareta-Olivares, Andrea Rivas-Sanchez, Angelica Cruz-Cruz, Syed Makhdoom Hussain, Reyna Berenice Gonzalez-Gonzalez, Maria Fernanda Cardenas-Alcaide, Hafiz M. N. Iqbal, Roberto Parra-Saldivar
Summary: The contamination of the environment by domestic and industrial discharges is a persistent problem that requires innovative solutions. Carbon dots, particularly metal-doped carbon dots, have shown great potential in sensing, adsorbing, and photodegrading pollutants in water samples. This review highlights the importance of altering the electronic structure of carbon dots through metal doping to enhance their capabilities for wastewater treatment.
Review
Chemistry, Medicinal
Jose Guadalupe Osorio-Reyes, Hiram Martin Valenzuela-Amaro, Jose Juan Pablo Pizana-Aranda, Diana Ramirez-Gamboa, Edgar Ricardo Melendez-Sanchez, Miguel E. Lopez-Arellanes, Ma. Dolores Castaneda-Antonio, Karina G. Coronado-Apodaca, Rafael Gomes Araujo, Juan Eduardo Sosa-Hernandez, Elda M. Melchor-Martinez, Hafiz M. N. Iqbal, Roberto Parra-Saldivar, Manuel Martinez-Ruiz
Summary: Due to population growth and anthropological activity, there is a need for sustainable and affordable technologies to meet the current and future demand for agricultural products. The use of chemical fertilizers has caused nutrient shortages and environmental and health problems globally. Green biotechnology based on microalgae biomass offers a sustainable alternative for soil improvement and phytoremediation.
Article
Multidisciplinary Sciences
Manuel Martinez-Ruiz, Karina Vazquez, Liliana Losoya, Susana Gonzalez, Felipe Robledo-Padilla, Osvaldo Aquines, Hafiz M. N. Iqbal, Roberto Parra-Saldivar
Summary: This study explores the use of microalgae from the genus Chlorella and Tetradesmus to generate substances with UV absorption capacity. A mathematical model was developed, considering factors such as light intensity, temperature, and nutrient consumption, to characterize the production of microalgae biomass. The model, programmed in MATLAB software, incorporates these three parameters into a single specific growth rate equation. The results show the optimal environmental conditions for each genus, as well as the personalized optimal specific growth rate based on the values of the three parameters.
Article
Polymer Science
Alejandra Arevalo-Gallegos, Sara P. P. Cuellar-Bermudez, Elda M. M. Melchor-Martinez, Hafiz M. N. Iqbal, Roberto Parra-Saldivar
Summary: This study evaluated maltodextrin/alginate and β-glucan/alginate mixtures as wall materials for microencapsulation of Schizochytrium sp. oil, an important source of DHA. Both mixtures exhibited shear-thinning behavior, with higher viscosity in β-glucan/alginate. Maltodextrin/alginate showed more homogeneous morphology and higher oil-encapsulation efficiency (90%) compared to β-glucan/alginate (80%). Furthermore, maltodextrin/alginate microcapsules displayed prolonged stability, while β-glucan/alginate microcapsules degraded under high temperature. Therefore, maltodextrin/alginate is a suitable wall material for microencapsulation of Schizochytrium sp. oil, providing high oil-encapsulation efficiency and stable microcapsules.
Article
Biotechnology & Applied Microbiology
Sandra Beatriz Castillo Castaneda, Rafael Emilio Altamirano Torres, Miguel Angel Dominguez Vizcaino, Elda M. Melchor-Martinez, Mariel Araceli Oyervides-Munoz, Juan Eduardo Sosa Hernandez, Roberto Parra-Saldivar, Thomas Bisgaard, Omid Tavakoli, Irini Angelidaki, Solange I. Mussatto, Eduardo Krebs Kleingesinds, Seyed Soheil Mansouri
Summary: Currently, there is a growing demand for more sustainable production processes and a shift towards zero-waste manufacturing. Microalgae have emerged as an alternative to traditional remediation techniques and have the advantage of producing highly valuable products. This review aims to provide guidance on the use of microalgae, including biomass productivity, removal of pollutants, and composition of microalgae biomass, to help academics and industrial stakeholders optimize and valorize their side-streams.
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
(2023)
Review
Virology
Alberto Aguayo-Acosta, Mildred G. Jimenez-Rodriguez, Fernando Silva-Lance, Mariel Araceli Oyervides-Munoz, Arnoldo Armenta-Castro, Orlado de la Rosa, Antonio Ovalle-Carcano, Elda M. Melchor-Martinez, Zahra Aghalari, Roberto Parra-Saldivar, Juan Eduardo Sosa-Hernandez
Summary: Although wastewater-based surveillance is an efficient tool, its implementation for pathogen surveillance is limited by ineffective sample treatment procedures and sampling protocols. Passive samplers have emerged as a solution to improve wastewater sampling, but there is still a need for optimization.
Review
Plant Sciences
Elda A. Flores-Contreras, Rafael G. Araujo, Arath A. Rodriguez-Aguayo, Muriel Guzman-Roman, Jesus Carlos Garcia-Venegas, Erik Francisco Najera-Martinez, Juan Eduardo Sosa-Hernandez, Hafiz M. N. Iqbal, Elda M. Melchor-Martinez, Roberto Parra-Saldivar
Summary: Brown macroalgae, due to their abundance, often cause problems in aquatic and terrestrial ecosystems and affect human health and aquatic species. Sargassum, with its high content of biocompounds, has attracted attention in research areas such as food, pharmaceuticals, and cosmetics. Polysaccharides extracted from brown macroalgae have various bioactivities, and different extraction methods are used, including supercritical fluid extraction, pressurized liquid extraction, subcritical water extraction, ultrasound-assisted extraction, enzyme-assisted extraction, and microwave-assisted extraction. This study provides information on extraction methods, purification, and the bioactivities of brown algae polysaccharides, along with the challenges in marketing Sargassum-based products.
Article
Fisheries
Elda M. Melchor-Martinez, Ana G. Reyes, Zoe P. Morreeuw, Elda A. Flores-Contreras, Rafael G. Araujo, Diana Ramirez-Gamboa, Juan Eduardo Sosa-Hernandez, Hafiz M. N. Iqbal, Georgia Maria Gonzalez-Meza, Alfredo Damiano Bonaccorso, Alberto Pena-Rodriguez, Roberto Parra-Saldivar
Summary: Sargassum biomass has high nutritional value and availability, making it a potential ingredient for aquaculture formulations. Adding 2.5% Sargassum to shrimp feed can significantly improve growth performance and digestion efficiency.
AQUACULTURE REPORTS
(2023)
Review
Chemistry, Analytical
Hiram Martin Valenzuela-Amaro, Alberto Aguayo-Acosta, Edgar Ricardo Melendez-Sanchez, Orlando de la Rosa, Perla Guadalupe Vazquez-Ortega, Mariel Araceli Oyervides-Munoz, Juan Eduardo Sosa-Hernandez, Roberto Parra-Saldivar
Summary: Food and waterborne illnesses are a major concern in global health and food safety. Traditional methods for detecting pathogens are often time-consuming and unsuitable for large-scale monitoring, thus there is a need for novel and faster detection methods. Biosensor devices have emerged as a new tool for rapid detection of food and water pathogens. Nanomaterials offer unique advantages for pathogen detection, enhancing the sensitivity and selectivity of biosensors.
Review
Veterinary Sciences
Elda A. Flores-Contreras, Jorge Alberto Carrasco-Gonzalez, Daniel C. L. Linhares, Cesar A. Corzo, J. Israel Campos-Villalobos, Alexandra Henao-Diaz, Elda M. Melchor-Martinez, Hafiz M. N. Iqbal, Reyna Berenice Gonzalez-Gonzalez, Roberto Parra-Saldivar, Everardo Gonzalez-Gonzalez
Summary: This review examines the application of different molecular diagnostic techniques in the pig industry and discusses the main viruses affecting pig health. It also addresses the challenges of implementing large-scale molecular diagnostic tests in the swine industry.
VETERINARY SCIENCES
(2023)
Review
Multidisciplinary Sciences
Karina G. Coronado-Apodaca, Sofia E. Rodriguez-De Luna, Rafael G. Araujo, Mariel Araceli Oyervides-Munoz, Georgia Maria Gonzalez-Meza, Lizeth Parra-Arroyo, Juan Eduardo Sosa-Hernandez, Hafiz M. N. Iqbal, Roberto Parra-Saldivar
Summary: Emerging pollutants are a diverse group of contaminants released into the environment through human activities, such as hormones, pesticides, heavy metals, and drugs. Due to inadequate wastewater treatment, these pollutants can enter groundwater and have potentially harmful effects on living organisms. Recent efforts have focused on developing technology to detect and quantify emerging pollutants in real-time, as well as remove them from groundwater.
Review
Biotechnology & Applied Microbiology
Lynette Alvarado-Ramirez, Berenice Santiesteban-Romero, Guillaume Poss, Juan Eduardo Sosa-Hernandez, Hafiz M. N. Iqbal, Roberto Parra-Saldivar, Alfredo D. Bonaccorso, Elda M. Melchor-Martinez
Summary: Annual global fish production reached a record 178 million tonnes in 2020, predicted to increase further. Aquaculture now accounts for 49% of total fish production, projected to reach 60% by 2030. The waste generated from the fish industry is ignored in many parts of the world while aquaculture expansion leads to significant environmental issues. The establishment of integrated multi-trophic aquaculture (IMTA) and valorizing marine waste through biofuel production and recovery of biomolecules present potential solutions.
FRONTIERS IN CHEMICAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Lizeth Parra-Arroyo, Reyna Berenice Gonzalez-Gonzalez, Rocio A. Chavez-Santoscoy, Elda A. Flores-Contreras, Roberto Parra-Saldivar, Elda M. Melchor Martinez, Hafiz M. N. Iqbal
Summary: Magnetic nanoparticles have wide-ranging applications in biotechnology, environmental science, and biomedicine. They are effective for magnetic separation and improving catalysis by immobilizing enzymes. By using iron oxide and graphene oxide as magnetic materials, nanobiocatalysis can efficiently degrade pollutants in water. This review focuses on the synthesis methods of magnetic nanoparticles and their performance in nanobiocatalysis for water pollutant degradation.
Review
Agricultural Engineering
Raunak Dhanker, Abhishek Saxena, Archana Tiwari, Hans-Uwe Dahms, Pankaj Kumar Singh, Anil Kumar Patel, Jiang-Shiou Hwang, Georgia Maria Gonzalez-Meza, Elda M. Melchor-Martinez, Hafiz M. N. Iqbal, Roberto Parra-Saldivar
Summary: Diatoms, with their complex cellular architecture, have diverse applications in fields such as bioremediation, aquaculture, and value-added products. They are proficient in nutrient utilization and can serve as trustworthy indicators of water quality, in addition to producing biomass rich in beneficial substances. This comprehensive review explores the multifaceted applications of diatoms and aims to find greener, more sustainable methods by utilizing their enormous biotechnological potentials.
BIORESOURCE TECHNOLOGY
(2024)
Review
Environmental Sciences
Reyna Berenice Gonzalez-Gonzalez, Lidia Yaritza Martinez-Zamudio, Jesus Alfredo Rodriguez Hernandez, Georgia Maria Gonzalez-Meza, Roberto Parra-Saldivar, Hafiz M. N. Iqbalab
Summary: The conversion of biomass waste into high-value nanomaterials like carbon dots is a significant advancement towards a circular economy system. Biomass wastes are an ideal choice as carbon precursors due to their wide availability, abundance, chemical composition, and eco-friendly nature. The transformation of biomass wastes into carbon dots not only reduces environmental pollution caused by inadequate waste management but also produces carbon dots with enhanced performances.
ENVIRONMENTAL RESEARCH
(2023)