Development of Polydopamine–Chitosan-Modified Electrochemical Immunosensor for Sensitive Detection of 7,12-Dimethylbenzo[a]anthracene in Seawater by Huili Hao, Chengjun Qiu, Wei Qu, Yuan Zhuang, Zizi Zhao, Haozheng Liu, Wenhao Wang, Jiahua Su, Wei Tao

“…By systematically optimizing key experimental parameters, including buffer pH, probe concentration, and antibody loading, we have constructed the first electrochemical immunosensor for detecting DMBA-7,12 in seawater. …”
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Assessment of Superparamagnetic Iron Oxide Nanoparticle Poly(Ethylene Glycol) Coatings on Magnetic Resonance Relaxation for Early Disease Detection by Cari L. Meisel, Polly Bainbridge, Robert V. Mulkern, Dimitrios Mitsouras, Joyce Y. Wong

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Multiparametric Optimization of Data-Dependent Acquisition Towards More Holistic Bacterial Metabolite Coverage Through Molecular Networking by Adivhaho Khwathisi, Amidou Samie, Asfatou Ndama Traore, Ntakadzeni Edwin Madala

“…To address this, we propose employing a design of experiment (DoE) approach through the central composite design (CCD) to enhance the metabolite detection and broaden the coverage of the data-dependent acquisition (DDA) mode of the UHPLC-qTOF-MS technique. …”
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Determination of disintegration time using formulation data for solid dosage oral formulations via advanced machine learning integrated optimizer models by Mohammed Ghazwani, Umme Hani

“…Data preprocessing involved Min-Max normalization, outlier detection via Elliptic Envelope, and feature selection using Conditional Mutual Information, with hyperparameters optimized through the Water Cycle Algorithm. …”
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Optimization of Protein Extraction from Sunflower Meal Using Taguchi Design and Regression Modeling for Human Nutrition Applications by Anca Becze, Marin Senila, Lacrimioara Senila, Lucian Dordai, Oana Cadar, Vanda Liliana Fuss-Babalau, Marius Roman, Levente Levei, Paul Uiuiu, Mihai Octavian Naghiu

“…Mechanical stirring, ultrasound-assisted, and CO₂-assisted extraction methods were evaluated, with mechanical stirring selected for optimization due to its scalability and energy efficiency. …”
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The immunogenic potential of an optimized mRNA lipid nanoparticle formulation carrying sequences from virus and protozoan antigens by Renata S. Fernandes, Gabriela de Assis Burle-Caldas, Sarah Aparecida Rodrigues Sergio, Ana Flávia Bráz, Nathália Pereira da Silva Leite, Milton Pereira, Juliana de Oliveira Silva, Natália Satchiko Hojo-Souza, Bianca de Oliveira, Ana Paula S. Moura Fernandes, Flávio Guimarães da Fonseca, Ricardo Tostes Gazzinelli, Diego dos Santos Ferreira, Santuza M. Ribeiro Teixeira

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Swift Transfer of Lactating Piglet Detection Model Using Semi-Automatic Annotation Under an Unfamiliar Pig Farming Environment by Qi’an Ding, Fang Zheng, Luo Liu, Peng Li, Mingxia Shen

“…To address this, we propose a semi-automatic approach within an active learning framework that integrates a pre-annotation model for piglet detection. We further examine how data sample composition influences pre-annotation efficiency to enhance the deployment of lactating piglet detection models. …”
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Spectral Fingerprinting of Tencha Processing: Optimising the Detection of Total Free Amino Acid Content in Processing Lines by Hyperspectral Analysis by Qinghai He, Yihang Guo, Xiaoli Li, Yong He, Zhi Lin, Hui Zeng

“…The quality and flavor of tea leaves are significantly influenced by chemical composition, with the content of free amino acids serving as a key indicator for assessing the quality of Tencha. …”
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Changes in microbiome composition after fecal microbiota transplantation via oral gavage and magnetic navigation technology-assisted proximal colon/cecum enema in antibiotic knock-... by Xian-Jie Bai, Yu-Chen Mei, Jia-Tong Zhao, Zhi-Ren Chen, Chen-Xi Yang, Xiao-Juan Dong, Jia-Wei Yu, Lin-Biao Xiang, Er-Zheng Zhou, Yong Chen, Jia-Yi Hao, Zhi-Jie Zhang, Yu-Xuan Liuyang, Lu Ren, Ying-Min Yao, Lei Zhang, Yi Lv, Qiang Lu

“…Analysis of fecal 16 S rRNA was conducted to determine differences in the composition of gut microbiota between different groups. …”
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Optimization bio-organic fertilizer production from watermelon rind with Trichoderma spp. for improved Brassica juncea growth by Hoai Thanh Bui, Bao Long Tran Vu, Van Nghia Le, Tan Tan Nguyen, Anh Tho Diep, Pham Dan Thuy Van, Viet Nhan Hoa Nguyen, Yoshiyuki Murata, Thi Bich Quyen Tran, Van Hong Thien Doan

“…Response Surface Methodology (RSM) with Central Composite Design (CCD) was employed to optimize the cultivation conditions for Brassica juncea using the composted fertilizer. …”
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Optimization bio-organic fertilizer production from watermelon rind with Trichoderma spp. for improved Brassica juncea growth by Hoai Thanh Bui, Bao Long Tran Vu, Van Nghia Le, Tan Tan Nguyen, Anh Tho Diep, Pham Dan Thuy Van, Viet Nhan Hoa Nguyen, Yoshiyuki Murata, Thi Bich Quyen Tran, Van Hong Thien Doan

“…Response Surface Methodology (RSM) with Central Composite Design (CCD) was employed to optimize the cultivation conditions for Brassica juncea using the composted fertilizer. …”
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Biochar-based contaminant removal: A tutorial on analytical quality assurance and best practices in batch sorption by Tellulah A. Fernando, Dinushi N. Fernando, Sameera R. Gunatilake, Chanaka Navarathna, Xuefeng Zhang

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Penicillin-Binding Proteins and Graphene/Chitosan Nanocomposite-Based Electrochemical Assay for Multiple Beta-Lactam Antibiotics Detection in Milk by Senwei Jiang, Hangzhen Lan, Daodong Pan, Lu Huang, Yichun Wu

“…The graphene/PENG/chitosan/Nafion-based electrochemical assay demonstrated good selectivity against other antibiotic residues frequently detected in milk. Under optimized conditions, the detection limits of this method ranged from 0.24 to 1.39 ng·mL−1, which are much lower than the maximum residue limits set by China and the EU. …”
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Selection of Optimal Conditions for the Separation of Curcuminoids by High-performance Capillary Electrophoresis (HPCE) Using Micellar Electrokinetic Chromatography (MEKC) by D. I. Pisarev, O. O. Novikov, K. S. Nikitin, N. N. Boyko, K. M. Sakanyan, M. Yu. Novikovа

“…However, the problem of the analysis of curcuminoids in the composition of plant and medicinal objects remains relevant. …”
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Development of Automatic Inspection and Optimization Platform for Computer Numerical Control Machining Using Automatic Optical Inspection and Artificial Intelligence by Qi-Ren Lin, Bo-Cing Hu, Liang-Yin Kuo, Ting-Yi Shen

“…By developing AOI recognition and optimizing CNC machining parameters, an automated and intelligent defect detection and correction solution was realized. …”
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<i>Morinda citrifolia</i> L.: A Comprehensive Review on Phytochemistry, Pharmacological Effects, and Antioxidant Potential by Silu Hou, Danyang Ma, Shaofeng Wu, Qiaoyue Hui, Zhihui Hao

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Optimization of GC-MS Method for Analysis of Basil Essential Oils from Algeria: Design of Experiments and Exploratory Pattern Recognition by Nabila Slougui, Meriem Slama, Yasser Boudaoud, Aymene Salah Bendrihem

“…A statistical study was performed based on hierarchical ascending classification and principal component analysis to elucidate the relationships between the basil varieties, their region of growth, and their essential oil composition. In addition to identifying several chemotypes, such as linalool, linalool/eugenol, linalool acetate, methyl eugenol, methyl chavicol, eugenol, methyl cinnamate E, and geraniol, a new compound, namely, octadecenamide (Z) (oleamide), was detected in the essential oil of Ocimum basilicum L. from Algiers (A1).…”
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Optimization of the Process for Defatting Sea Cucumber Powder by Supercritical CO2 Extraction and Its Effect on Volatile Flavor Compounds by Gongming WANG, Hui HUANG, Yuzhu DING, Jinglin XUE, Zhiqiang SHU, Yuexin JING, Chunna JIAO, Jian ZHANG

“…The fatty acid composition of the sea cucumber powder before and after extraction as well as that in the supercritical CO2 extract were detected using gas chromatography, and supercritical CO2 extraction of volatile flavor substances was investigated using headspace-gas chromatography-ion migration spectroscopy (HS-GC-IMS). …”
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Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

“…Notably, densMAP reveals additional insights into the composition of the sample through outlier detection, uncovering signals from the trace minerals pyrite, rutile, baddeleyite, and uranothorianite. …”
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Optical Sensor-Based Approaches in Obesity Detection: A Literature Review of Gait Analysis, Pose Estimation, and Human Voxel Modeling by Sabrine Dhaouadi, Mohamed Moncef Ben Khelifa, Ala Balti, Pascale Duché

“…Optical sensor technologies are reshaping obesity detection by enabling non-invasive, dynamic analysis of biomechanical and morphological biomarkers. …”
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