Chester T. Duda
Purdue University
8 Papers
68 Citations
Chester T. Duda is an academic researcher from Purdue University. The author has contributed to research in topics: High-performance liquid chromatography & Detection limit. The author has an hindex of 5, co-authored 8 publications.
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Papers
Liquid chromatography with multi-channel electrochemical detection for the determination of resveratrol in wine, grape juice, and grape seed capsules with automated solid phase extraction
TL;DR: In this paper, a sensitive and selective liquid chromatography/ electrochemistry method with multi-channel detection was developed for the determination of the natural product trans-resveratrol in wines, grape juice, and grape seed capsules.
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Optimization of post-column photolysis and electrochemical detection for the liquid chromatographic determination of 3-nitro-L-tyrosine.
TL;DR: In general, use of the photoreactor prior to liquid chromatography is an excellent method for exploring photodegradation products of an analyte in conjunction with the full range of available liquid Chromatography detectors.
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Analysis of isoflavones in natural sources and nutritional supplements by liquid chromatography and multi-channel electrochemical detection
Feifei Tian,Yongxin Zhu,Fuming Xie,Hong Long,Chester T. Duda,Elsa M. Janle,Peter T. Kissinger +6 more
TL;DR: In this paper, a simple gradient reverse-phase liquid chromatographic method has been developed for the separation of daidzin, genistin, daidzein, and genistein in various natural sources and dietary supplements.
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Refolding of serine proteinases
TL;DR: The lack of dependence on the concentration of either fragmènt and the relatively high yields suggest independent folding of the amino‐ and carboxyl‐terminal domains.
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1H NMR study of the effects of sample contamination in the metabolomic analysis of mouse urine.
Haiwei Gu,Zhengzheng Pan,Chester T. Duda,Doug Mann,Candice B. Kissinger,Candace Rohde,Daniel Raftery +6 more
TL;DR: In this paper, a series of normal urine samples and those mixed with folate-deficient food, turkey or mouse fecal particles were analyzed using principal component analysis (PCA).
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