ChatGPT based method for obtaining repeatable and quantitative colorimetric measurements

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES
MethodsX Pub Date : 2025-07-22 DOI:10.1016/j.mex.2025.103525
Morena Xaba, Sivuyisiwe Mapukata, Teboho Mokhena
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引用次数: 0

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.

Abstract Image

基于ChatGPT的可重复定量比色测量方法
人工智能(AI)在现代工业中的应用已经被证明可以提高许多行业的生产率,如制造业、采矿业、金融、营销、制药、纺织等行业。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学习。许多普通公民常见的人工智能的一个子类是聊天生成预训练转换器(ChatGPT),这是OpenAI Global, LLC.的一个程序,可以从用户输入中生成类似人类的对话和响应。•ChatGPT可用于确定评估环境污染物的比色值,如刚果红(CR)和考马斯亮蓝(CBB),并证明其具有一致的再现性。•已经开发了一些颜色模型,如CIE Lab, RGB和Xyz来量化颜色。•我们使用ChatGPT,结合Color Grab这是一个安卓应用程序,定量确定污染物溶液的RGB值,并调查色差ΔE,以及色调和色度,有利于污染物的颜色吸收。•ChatGPT和Color Grab的结果用成熟的紫外可见分光光度计确认。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
MethodsX
MethodsX Health Professions-Medical Laboratory Technology
CiteScore
3.60
自引率
5.30%
发文量
314
审稿时长
7 weeks
期刊介绍:
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