Use of the Taguchi Method to Optimize an Immunodetection System for Quantitative Analysis of a Rapid Test

Lin, Kai; Chang, Yu‐Chi

doi:10.3390/diagnostics11071179

Cited by 5 publications

(4 citation statements)

References 26 publications

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“…The calculation of the S/N ratio on the CO emission test results uses the smaller the better type, which means the smaller the mean and standard deviation values, and the larger the S/N ratio, the better (Eq. 1) [41]. Therefore, from these two values, we can observe that the optimum multiobjective design produces an S/N ratio value that is greater than the optimum emission design.…”

Section: Experimental Verification Resultsmentioning

confidence: 91%

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Design of Metallic Catalytic Converter using Pareto Optimization to Improve Engine Performance and Exhaust Emissions

Ariyanto

Suprayitno

Wulandari

2023

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In this paper, Metallic Catalytic Converter (MCC) is installed in motorcycle exhausts to produce the minimum CO as well as to produce the optimum engine power. The results from previous research were collected and then used to predict the best MCC design using the Artificial Neural Network Multi-Objective Genetic Algorithm (ANN-MOGA). In addition, the ANN parameter tuning process was also carried out using the Taguchi method to find the initial weighting and bias that is able to provide the best and the most stable performance to predict the best MCC design. The best two sets of design solutions out of 70 sets of Pareto solutions were obtained by ANN-MOGA. Those two MCC designs are the optimum emission design and the optimum multi-objective design. The verification results show that the optimum multi-objective design tends to be superior in terms of CO emissions and engine power. In terms of CO emissions, the optimum multi-objective design gets a larger S/N ratio of -10.98, while the optimum emission design only gets an S/N ratio of -11.21. Meanwhile, in terms of engine power, the optimum multi-objective design gets a larger S/N ratio of 16.13, while the optimum emission design only gets an S/N ratio of 15.86 S/N. It is in line with the ANOVA test results which show that the optimum multi-objective design is proven to be better than the optimum emission design.

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Section: Experimental Verification Resultsmentioning

confidence: 91%

“…However, we need to keep in mind that regardless of the characteristics or type of S/N ratio chosen, the interpretation always leads to the larger the better type. It means that the smaller the mean and standard deviation and the greater the value of the S/N ratio, the better [41].…”

Section: Optimization Processmentioning

confidence: 99%

Design of Metallic Catalytic Converter using Pareto Optimization to Improve Engine Performance and Exhaust Emissions

Ariyanto

Suprayitno

Wulandari

2023

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“…The quality objective of the experiment is to achieve an average value of the quality characteristic at the target value of 3.4 ± 0.1 g. Therefore, following the same procedure based on the S/N ratio, a response analysis was conducted for the quality characteristic. Utilizing the “one-half criterion” method [ 26 ], factors significantly influencing the characteristic were selected, resulting in the identification of the top five important factors. The remaining three were deemed unimportant.…”

Section: Research Methods and Analysis Experimentsmentioning

confidence: 99%

Applying the Taguchi Method to Improve Key Parameters of Extrusion Vacuum-Forming Quality

Chen,

Huang

2024

Polymers

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This research investigates the control of thickness and weight in plastic extrusion vacuum-thermoforming products to identify optimal key parameters for cost reduction and energy savings. The initial step involves identifying crucial influencing factors. In this step, the Delphi technique was employed through a questionnaire administered to a panel of expert scholars to ensure minimal error and maximal reliability in determining key influencing factors. Consensus was sought to establish appropriateness and consistency. Subsequently, the Taguchi method was applied for quality design and planning of the extrusion vacuum-forming process. The experimental design parameters were selected using an L18 (21 × 37) orthogonal array, and the desired quality characteristics were determined. Comparative analysis of quantitative production data from two consecutive experiments was conducted, and based on F-values and contribution analysis, the combination of control factors maximizing the Signal-to-Noise (S/N) ratio was identified. The objective is to seek optimal parameters for improving the quality of the plastic polypropylene (PP cup lid) manufacturing process, reducing process variability, and identifying the most robust production conditions. Through multiple actual production prediction experiments, it was determined that five control factors, “polypropylene new material ratio,” “T-die lips adjustment thickness”, “mirror wheel temperature stability”, “molding vacuum pressure time”, and “forming mold area design”, contribute to the maximization of the S/N ratio, i.e., minimizing variability. Statistical validation confirms a significant improvement in product quality and weight control. Noteworthily, the quality control model and experimental design parameters established in this study are also applicable to other plastic products and bio-based materials, such as PET, HIPS, and biodegradable PLA lids with added calcium carbonate. The results of the experimental production demonstrate its ability to consistently control product weight within the range of 3.4 ± 0.1 g, approaching the specified tolerance limits. This capability results in approximately 2.6% cost savings in product weight, contributing significantly to achieving a company’s KPI goals for environmental conservation, energy efficiency, and operational cost reduction. Therefore, the findings of this study represent a substantial and tangible contribution.

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“…Choice of optimal values for such parameters as pH, ionic strength of reaction media, concentrations of used compounds, etc. can be based on common principles in the design of the experimental strategy, such as full factorial and fractional factorial designs (see examples of their successful application for immunoassays in [ 13 , 14 ]). However, these approaches cannot be transferred for choosing the order of the binding zone location, because the distances from the starting point of flow movement cannot be changed independently for each analyte.…”

Section: Introductionmentioning

confidence: 99%

Handling Detection Limits of Multiplex Lateral Flow Immunoassay by Choosing the Order of Binding Zones

et al. 2023

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Changes in the limits of detection (LODs) for a multiplex lateral flow immunoassay (LFIA) caused by different locations of the binding zone on the test strips were studied. Due to the non-equilibrium conditions of the immune reactions in LFIAs, their analytical parameters are susceptible to the binding constants of antigen–antibody reactions and assay duration. Consequently, the integration of several tests into one multiplex assay can cause a significant worsening of the sensitivity. In this study, we propose a simple methodology for the determination of the best arrangement of binding zones, which takes into account the binding constants for immunoreagents. LFIAs of four mycotoxins, namely, aflatoxin B1, deoxynivalenol, T-2 toxin, and ochratoxin A, were integrated into a multiplex test strip. An enzyme-linked immunosorbent assay was applied to determine the equilibrium and kinetic constants of the immunoreactants for each analyte. It was found that the arrangement of binding zones with a descending order of the equilibrium association constants was optimal and provided both lower detection limits and a more uniform coloration. The selected position of the binding zones allowed decreasing the LODs down to 2 and 27 times for ochratoxin A and deoxynivalenol, respectively. The proposed approach can be applied to multiplex LFIAs for different analytes.

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Use of the Taguchi Method to Optimize an Immunodetection System for Quantitative Analysis of a Rapid Test

Cited by 5 publications

References 26 publications

Design of Metallic Catalytic Converter using Pareto Optimization to Improve Engine Performance and Exhaust Emissions

Design of Metallic Catalytic Converter using Pareto Optimization to Improve Engine Performance and Exhaust Emissions

Applying the Taguchi Method to Improve Key Parameters of Extrusion Vacuum-Forming Quality

Handling Detection Limits of Multiplex Lateral Flow Immunoassay by Choosing the Order of Binding Zones

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