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基于ChatGPT的获取可重复定量比色测量结果的方法。

ChatGPT based method for obtaining repeatable and quantitative colorimetric measurements.

作者信息

Xaba Morena, Mapukata Sivuyisiwe, Mokhena Teboho

机构信息

DSTI/Mintek Nanotechnology Innovation Centre, Advanced Materials Division, Mintek, 200 Malibongwe Drive, Randburg 2194, South Africa.

出版信息

MethodsX. 2025 Jul 22;15:103525. doi: 10.1016/j.mex.2025.103525. eCollection 2025 Dec.

DOI:10.1016/j.mex.2025.103525
PMID:40756014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12318291/
Abstract

The rise of artificial intelligence (AI) applications in the modern industry has been shown to boost productivity in many sectors such as manufacturing, mining, finance, marketing, pharmacy, textiles, and a few more industries. AI is a neural network system that is wired to learn by interacting with humans and by repetition of tasks. A sub-category of AI common to many ordinary citizens is the Chat Generative Pre-training Transformer (ChatGPT) a program of OpenAI Global, LLC., that generates human-like dialogue and responses from the user input. • ChatGPT can be used to determine colorimetric values for the assessment of environmental pollutants such as congo red (CR) and coomassie brilliant blue (CBB) and prove its ability for consistent reproducibility. • Several color models have been developed such as CIE Lab, RGB, and Xyz to quantify colors. • We used ChatGPT, in conjunction with Color Grab which is an Android app, to quantitatively determine the RGB values of the pollutant solutions, and investigated the color difference ΔE, as well as the hue and chroma that facilitates the color absorption of the pollutants. • The results from ChatGPT and Color Grab were confirmed with the well-established ultra-violet visible (UV-Vis) spectrophotometer.

摘要

人工智能(AI)应用在现代工业中的兴起已被证明能提高许多行业的生产力,如制造业、采矿业、金融业、营销业、制药业、纺织业以及其他一些行业。人工智能是一种神经网络系统,通过与人类互动和重复任务来进行学习。许多普通公民都熟知的人工智能的一个子类别是聊天生成预训练变换器(ChatGPT),它是OpenAI Global有限责任公司的一个程序,能根据用户输入生成类似人类的对话和回复。•ChatGPT可用于确定比色值,以评估刚果红(CR)和考马斯亮蓝(CBB)等环境污染物,并证明其具有一致的可重复性。•已经开发了几种颜色模型,如CIE Lab、RGB和Xyz来量化颜色。•我们将ChatGPT与一款名为Color Grab的安卓应用程序结合使用,以定量确定污染物溶液的RGB值,并研究色差ΔE以及有助于污染物颜色吸收的色调和色度。•ChatGPT和Color Grab的结果通过成熟的紫外可见(UV-Vis)分光光度计得到了证实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/e01b87465546/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/89de6fc65091/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/d95df352ae1c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/4a02c6c30218/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/12b539f2d8cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/cad5d31e00ab/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/8bd62dbc3f66/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/e01b87465546/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/89de6fc65091/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/d95df352ae1c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/4a02c6c30218/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/12b539f2d8cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/cad5d31e00ab/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/8bd62dbc3f66/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac8/12318291/e01b87465546/gr6.jpg

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