Corrigendum to 〈’ Application of quality by design approach in HPLC-UV validation of ciprofloxacin in porcine ocular tissue and simulated ocular fluid for quantification in an ex vivo ocular kinetic study’〉

IF 2.218 Q2 Chemistry

Chemical Data Collections Pub Date : 2024-03-01 DOI:10.1016/j.cdc.2024.101123

Nurul Muhlisah Maddeppungeng , Maria Mir , Muhammad Raihan , Elly Wahyudin , Nur Asma , Patricia Layadi , Diany Elim , Andi Dian Permana

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猪眼部组织和模拟眼液中环丙沙星的高效液相色谱-紫外定量分析在体外眼动力学研究中的应用》的更正

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来源期刊

Chemical Data Collections Chemistry-Chemistry (all)

CiteScore

6.10

自引率

0.00%

发文量

169

审稿时长

24 days

期刊介绍： Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.