Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313596238> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4313596238 abstract "Abstract Oxidative stress (OS) associated with reactive oxygen species (ROS) attacks many biomolecules, leading to cell death, lipid peroxidation (LP), and physiological mechanism damage in the human body because of its reaction with nucleotides, membrane lipids, and proteins. Malondialdehyde (MDA) is one of the end products of polyunsaturated fatty acids peroxidation. The elevated level of MDA is widely known as a biomarker for the indirect measurement of OS during LP. Although several derivatizations' approaches and successful commercial kits are available, their analytical validity and reliability in clinical studies require further attention to obtain robust quantitation and high‐quality data. Also, re‐evaluation and development of new analytical methods with high sensitivity and selectivity in response to free MDA and total MDA, DNA and protein adducts are not well‐characterized. Here, response surface methodology (RSM) and artificial neural network (ANN) were proposed to model, predict, and optimize MDA detection. This paper introduced a novel, simple, and fast modeling method using a new reagent (para methoxy aniline or PMA) for the first time to convert MDA to an adduct which could be detectable by UV‐Vis spectroscopy. Based on the interactions between MDA and PMA at times and temperatures, RSM and artificial intelligence network (AIN) were then applied to forecast the absorbance rate of MDA‐PMA. The optimum mode for the highest absorbance rate of MDA‐PMA is at the temperature of 74.99°C with a PMA concentration of 499.87 μM and MDA concentration of 49.98 μM. The best structure with five hidden layers, including 5,5,5,9,4 neurons with the transfer function logsig for each layer, was selected for the MLP‐ANN model. The maximum error rate of the MLP‐ANN model was 2.08%.Our new approach is an improvement over existing assay kits, overcoming limitations such as time, temperature, and reliability with a bright future to target increased MDA level in human samples." @default.
- W4313596238 created "2023-01-06" @default.
- W4313596238 creator A5013953597 @default.
- W4313596238 creator A5015800764 @default.
- W4313596238 creator A5023780984 @default.
- W4313596238 creator A5087741250 @default.
- W4313596238 creator A5091098356 @default.
- W4313596238 date "2023-01-17" @default.
- W4313596238 modified "2023-09-26" @default.
- W4313596238 title "Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA" @default.
- W4313596238 cites W1594221259 @default.
- W4313596238 cites W1755751074 @default.
- W4313596238 cites W1979492950 @default.
- W4313596238 cites W1994603950 @default.
- W4313596238 cites W2011273661 @default.
- W4313596238 cites W2024515089 @default.
- W4313596238 cites W2032139358 @default.
- W4313596238 cites W2037427959 @default.
- W4313596238 cites W2064220452 @default.
- W4313596238 cites W2068513516 @default.
- W4313596238 cites W2085734186 @default.
- W4313596238 cites W2096641431 @default.
- W4313596238 cites W2117737656 @default.
- W4313596238 cites W2125289626 @default.
- W4313596238 cites W2128868664 @default.
- W4313596238 cites W2138220389 @default.
- W4313596238 cites W2168621707 @default.
- W4313596238 cites W2294467502 @default.
- W4313596238 cites W2490583434 @default.
- W4313596238 cites W2554843366 @default.
- W4313596238 cites W2594229580 @default.
- W4313596238 cites W2618915649 @default.
- W4313596238 cites W2626441385 @default.
- W4313596238 cites W2700505044 @default.
- W4313596238 cites W2773885111 @default.
- W4313596238 cites W2793111443 @default.
- W4313596238 cites W2803335400 @default.
- W4313596238 cites W2921726967 @default.
- W4313596238 cites W2964431654 @default.
- W4313596238 cites W2997509195 @default.
- W4313596238 cites W3000380285 @default.
- W4313596238 cites W3044367096 @default.
- W4313596238 cites W3096543821 @default.
- W4313596238 cites W3135396338 @default.
- W4313596238 cites W3159106559 @default.
- W4313596238 cites W3168209803 @default.
- W4313596238 cites W3173937265 @default.
- W4313596238 cites W4210463727 @default.
- W4313596238 cites W4214750327 @default.
- W4313596238 cites W4220742679 @default.
- W4313596238 cites W4221008773 @default.
- W4313596238 cites W4225278833 @default.
- W4313596238 cites W4254837661 @default.
- W4313596238 cites W4281776881 @default.
- W4313596238 cites W4283068210 @default.
- W4313596238 doi "https://doi.org/10.1002/cem.3468" @default.
- W4313596238 hasPublicationYear "2023" @default.
- W4313596238 type Work @default.
- W4313596238 citedByCount "0" @default.
- W4313596238 crossrefType "journal-article" @default.
- W4313596238 hasAuthorship W4313596238A5013953597 @default.
- W4313596238 hasAuthorship W4313596238A5015800764 @default.
- W4313596238 hasAuthorship W4313596238A5023780984 @default.
- W4313596238 hasAuthorship W4313596238A5087741250 @default.
- W4313596238 hasAuthorship W4313596238A5091098356 @default.
- W4313596238 hasConcept C150077022 @default.
- W4313596238 hasConcept C185592680 @default.
- W4313596238 hasConcept C2776151105 @default.
- W4313596238 hasConcept C2778401633 @default.
- W4313596238 hasConcept C2780829032 @default.
- W4313596238 hasConcept C43617362 @default.
- W4313596238 hasConcept C55493867 @default.
- W4313596238 hasConcept C98015330 @default.
- W4313596238 hasConceptScore W4313596238C150077022 @default.
- W4313596238 hasConceptScore W4313596238C185592680 @default.
- W4313596238 hasConceptScore W4313596238C2776151105 @default.
- W4313596238 hasConceptScore W4313596238C2778401633 @default.
- W4313596238 hasConceptScore W4313596238C2780829032 @default.
- W4313596238 hasConceptScore W4313596238C43617362 @default.
- W4313596238 hasConceptScore W4313596238C55493867 @default.
- W4313596238 hasConceptScore W4313596238C98015330 @default.
- W4313596238 hasIssue "4" @default.
- W4313596238 hasLocation W43135962381 @default.
- W4313596238 hasOpenAccess W4313596238 @default.
- W4313596238 hasPrimaryLocation W43135962381 @default.
- W4313596238 hasRelatedWork W1958009759 @default.
- W4313596238 hasRelatedWork W1989464476 @default.
- W4313596238 hasRelatedWork W1996925599 @default.
- W4313596238 hasRelatedWork W2070656560 @default.
- W4313596238 hasRelatedWork W2131352590 @default.
- W4313596238 hasRelatedWork W2144586857 @default.
- W4313596238 hasRelatedWork W2741830417 @default.
- W4313596238 hasRelatedWork W2952461587 @default.
- W4313596238 hasRelatedWork W2958374161 @default.
- W4313596238 hasRelatedWork W4301699110 @default.
- W4313596238 hasVolume "37" @default.
- W4313596238 isParatext "false" @default.
- W4313596238 isRetracted "false" @default.
- W4313596238 workType "article" @default.