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Background: The increased use of cephalosporin antibiotics in the last few years as well as the detection of their residues in wastewater treatment plants and hospital wastewater poses a risk for infiltration of their residues into environmental water samples.
Objective: A simplified, sensitive, and convenient solid-phase extraction (SPE) procedure coupled with either HPLC or fast HPLC methods with diode array detection was developed and validated to screen the residues of six different cephalosporin antibiotics: cefoperazone, cefipime, ceftazedime, ceftriaxone, cefdinir, and cefotaxime, along with amoxicillin, levofloxacin, and ciprofloxacin in water samples.
Methods: An HPLC-diode array detector (HPLC-DAD) method and a fast HPLC method, based on a core-shell stationary phase, were developed for the fast screening of the antibiotic compounds. In addition, the SPE step was optimized to enable the extraction of the studied drugs with high accuracy of the recovered amounts of residues.
Results: The method sensitivity was enhanced by the coupling of SPE with HPLC-DAD and fast HPLC to achieve low LODs; from 0.2 to 3.8 ng/mL and from 0.65 to 12.2 ng/mL, respectively. The developed methods were augmented by LC-MS/MS determination for confirmation of identity and quantity of any positively identified sample. The method was applied to the analysis of water samples collected from a rural site. In Addition, an example application of cleaning validation of cefotaxime-contaminated stainless-steel surfaces was provided.
Conclusion: The method's simplicity and high sensitivity encourage its application in monitoring of antibiotic residues in different types of water samples such as environmental samples and samples from cleaning validation activities.
Highlights: HPLC-DAD and fast HPLC methods were developed for separation of nine different antibiotics. The combination with the SPE procedure achieved low detection limits; from 0.2 to 3.8 ng/mL for SPE-HPLC-DAD and from 0.65 to 12.2 ng/mL for SPE-fast HPLC.
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http://dx.doi.org/10.1093/jaoacint/qsad111 | DOI Listing |
Cold Spring Harb Protoc
December 2024
Christopher S. Bond Life Sciences Center, Division of Biological Sciences, Interdisciplinary Plant Group, University of Missouri, Columbia, Missouri 65211, USA
Amino acid analysis is a vital part of analytical biochemistry. The increasing demand for low nitrogen fertilization and for plant-based diets with balanced amino acid levels and composition have made it crucial to develop reliable, fast, and affordable methods for analyzing amino acids in plants. As maize accounts for 43% of global cereal production, improving the amino acid composition of its kernels (i.
View Article and Find Full Text PDFInt J Med Mushrooms
December 2024
College of Arts & Sciences, University of Pikeville, Pikeville, KY 41501, USA.
Front Pharmacol
December 2024
Holy Stone Healthcare, Preclinical and Development Div Hsinchu, Taipei, Taiwan.
Introduction: CA102N is a novel anticancer drug developed by covalently linking H-Nim (N-(4-Amino-2-phenoxyphenyl methanesulfonamide) to Hyaluronic Acid to target CD44 receptor-rich tumors. The proposed approach seeks to enhance the efficacy and overcome limitations associated with H-Nim, including poor solubility and short half-life.
Methods: The study aimed to evaluate the pharmacokinetics, biodistribution, metabolism, and tumor permeability of [14C] CA102N in xenograft mice following a single intravenous dose of 200 mg/kg.
Zhongguo Zhong Yao Za Zhi
October 2024
School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.
To analyze the differences and dynamic changes in the color, odor, and major chemical components of Astragali Radix during honey processing, this study used a CM-5 spectrophotometer and Hercules NEO ultra-fast gas phase electronic nose for analysis. High performance liquid chromatography was employed to determine the content of calycosin, calycosin-7-glucoside, formononetin, and ononin in the Astragali Radix decoction pieces processed with honey to different degrees. Multivariate statistical analyses including partial least squares-discriminant analysis(PLS-DA), orthogonal partial least squares-discriminant analysis(OPLS-DA), differential factor analysis(DFA), and Bayesian discriminant analysis were adopted to differentiate the Astragali Radix decoction pieces processed with honey to different degrees and evaluate the correlations between visual characteristics and chemical composition.
View Article and Find Full Text PDFCardiovasc Diabetol
December 2024
Department of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Background: Diabetic retinopathy (DR) is a major microvascular complication of diabetes mellitus and causes vision impairment and blindness. The presence of major risk factors for DR, such as high levels of HbA1c, does not predict all DR pathogenesis in the clinic, which suggests that uncovering the underlying mechanisms and identifying novel markers are needed. Previous evidence has shown that the serum metabolic signature of DR is unique and detectable compared with that of diabetes mellitus (DM).
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