Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

    • Novel ECL Method for the Determination of Skatole in Porcine Adipose Tissue.

    Samuel Stewart,Emmanuel Scorsone,Armelle Prunier,Matthieu Hamel

    Analytical Chemistry（2022）

    Univ Paris Saclay | Inst Agro

    Cited 2|Views26
    Abstract
    A new method for the determination of skatole present in porcine adipose tissue samples utilizing the electrochemiluminescence of skatole is presented. It has been observed that oxygen radicals produced at a high cathodic voltage can react with oxidized skatole to create an excited intermediate molecule that then relaxes, generating peak photon emission at around 480 nm. A strong electrochemiluminescence or electrogenerated chemiluminescence (ECL) signal using boron-doped diamond (BDD) electrodes was observed optimally when a reduction potential of -1.8 V was applied, held for 40 s, before holding an oxidation potential of 0.8 V for 10 s. Using this principle, a calibration curve using known concentrations of skatole showed good linearity (range 0.025-2 μM) and a very low detection limit (LOD, 0.7 nM). A method that demonstrates for the first time an approach that utilizes this ECL reaction, and has the potential to be developed into an analytical device for use in the slaughterhouse, has been developed. This was achieved by extracting skatole out of the porcine adipose tissues into acetonitrile - giving an extraction efficiency of 67.6%. This method was then validated by analyzing the skatole content of 33 pig fat samples that had been previously tested using a standard technique, high-performance liquid chromatography (HPLC), containing a range of concentrations (0.02-2.58 μg/g). This ECL method exhibited excellent reliability and correlation with HPLC, giving a R2 coefficient of 0.911, thus demonstrating the potential for this method to be developed for an on-line skatole detector.
    More
    Translated text
    Key words
    Electrochemistry
    求助PDF
    上传PDF
    View via Publisher
    Bibtex
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Upload PDF to Generate Summary
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    【要点】：该论文提出了一种基于电化学发光的新方法，用于测定猪脂肪组织中skatole的含量，该方法利用了skatole的电化学发光特性，并通过优化电极和电压条件实现了高灵敏度的检测。
    

    【方法】：研究采用了硼掺杂金刚石(BDD)电极，利用高还原电位下产生的氧气自由基与氧化skatole反应生成激发态中间体，进而产生大约480nm的峰值光发射。
    

    【实验】：实验首先将skatole从猪脂肪组织中提取到乙腈中，提取效率为67.6%。然后，利用优化后的ECL方法分析了33个先前使用高效液相色谱法（HPLC）测试的猪脂肪样本中的skatole含量，这些样本含有不同浓度（0.02-2.58μg/g）。ECL方法与HPLC结果具有良好的相关性（R-2系数为0.911），表明其具有发展成为在线skatole检测器的潜力。