This manuscript covers the application of the main techniques for simultaneous optimization of multiple responses generated by the application of multivariate designs (two-factor factorial, Central Composite, Doehlert, etc.) or by chromatographic runs in the development of analytical methods. Special attention will be given to the graphical method, desirability function, multiple response function and chromatographic response functions, since they are more frequently used in the analytical area. The advantages, disadvantages, limitations, and potentialities of these methods will also be addressed, as well as some of their applications, commenting on real examples from the literature. Some less usual methods in multiple response optimization in Analytical Chemistry will also be commented.
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http://dx.doi.org/10.1016/j.talanta.2018.10.088 | DOI Listing |
Nat Mater
January 2025
Max Planck Institute for Chemical Physics of Solids, Dresden, Germany.
High thermoelectric performance is generally achieved by synergistically optimizing two or even three of the contradictorily coupled thermoelectric parameters. Here we demonstrate magneto-thermoelectric correlation as a strategy to achieve simultaneous gain in an enhanced Seebeck coefficient and reduced thermal conductivity in topological materials. We report a large magneto-Seebeck effect and high magneto-thermoelectric figure of merit of 1.
View Article and Find Full Text PDFSci Rep
January 2025
College of Computer Sciences, Anhui University, Hefei, 230039, China.
Decoding the semantic categories of complex sceneries is fundamental to numerous artificial intelligence (AI) infrastructures. This work presents an advanced selection of multi-channel perceptual visual features for recognizing scenic images with elaborate spatial structures, focusing on developing a deep hierarchical model dedicated to learning human gaze behavior. Utilizing the BING objectness measure, we efficiently localize objects or their details across varying scales within scenes.
View Article and Find Full Text PDFSci Rep
January 2025
Electrical Computer and Control Engineering Department, Faculty of Engineering, Suez Canal University, Ismailia, 41522, Egypt.
This study presents a novel optimization algorithm known as the Energy Valley Optimizer Approach (EVOA) designed to effectively develop six optimal adaptive fuzzy logic controllers (AFLCs) comprising 30 parameters for a grid-tied doubly fed induction generator (DFIG) utilized in wind power plants (WPP). The primary objective of implementing EVOA-based AFLCs is to maximize power extraction from the DFIG in wind energy applications while simultaneously improving dynamic response and minimizing errors during operation. The performance of the EVOA-based AFLCs is thoroughly investigated and benchmarked against alternative optimization techniques, specifically chaotic billiards optimization (C-BO), genetic algorithms (GA), and marine predator algorithm (MPA)-based optimal proportional-integral (PI) controllers.
View Article and Find Full Text PDFWaste Manag
January 2025
Department of Environmental Science & Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, India. Electronic address:
The disposal of waste-printed circuit boards (WPCBs) poses significant environmental and health risks, as they are a major component of e-waste containing hazardous materials. However, WPCBs also contain valuable metallic elements, making them important resources for recycling. To address the dual challenge of hazardous waste management and resource recovery, sustainable approaches for metal extraction from WPCBs are imperative.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
School of Food Science and Technology, International Joint Laboratory on Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, P.R. China.
Aflatoxins (AFs), notorious mycotoxins that pose significant risks to human and animal health, make biodegradation extremely crucial as they offer a promising approach to managing and reducing their harmful impacts. In this study, we identified a manganese peroxidase from (Mnp) through protein similarity analysis, which has the capability to degrade four AFs (AFB, AFB, AFG, and AFG) simultaneously. The gene encoding this enzyme was subject to codon optimization, followed by cold shock induction expression using the pColdII vector, leading to the soluble expression of manganese peroxidase (Mnp) in .
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