THE PROSPECT OF DIGITALLY ENHANCED COLORIMETRY AS AN ANALYTICAL METHOD FOR WATER QUALITY DETERMINATION

R. Hakiki, T. Wikaningrum
{"title":"THE PROSPECT OF DIGITALLY ENHANCED COLORIMETRY AS AN ANALYTICAL METHOD FOR WATER QUALITY DETERMINATION","authors":"R. Hakiki, T. Wikaningrum","doi":"10.25105/URBANENVIROTECH.V0I0.4362","DOIUrl":null,"url":null,"abstract":"Aim: This study aims to observe the potential implementation of analytical methods based on digital image processing as an alternative method of colorimetric analysis that can be implemented in site. Methodology and Results: Pt-Co standard series solutions at concentrations of 5, 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100 concentration units (CU) were measured by spectrophotometric method and digitally enhanced colorimetric (DEC) method to obtain a response in the form of absorbance (Abs) and area under curve (AUC) value. Absorbance measurement was carried out at 317.5 nm (λ max). The AUC value was obtained from the 3-point RGB value measurements, made average so that a color band is produced, then quantified by translating the color band intensity into the response curve in ImageJ software. The Abs and AUC values of artificial samples are processed into CU values with linear equations resulting from linear regression test. The results of the calculation of CU values from the two measurement methods were tested using independent t test method to examine significant differences between the two measurement methods. Conclusion, significance and impact study: Coefficient of determination (R2) plot CU VS AUC = 0.8638, in independent t test was obtained p-value = 0.4246 at the 95% confidence level. Therefore, it can be concluded that digitally enhanced colorimetric could be used to determine water quality, especially color parameter in site measurement.","PeriodicalId":329428,"journal":{"name":"INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY","volume":"14 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25105/URBANENVIROTECH.V0I0.4362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Aim: This study aims to observe the potential implementation of analytical methods based on digital image processing as an alternative method of colorimetric analysis that can be implemented in site. Methodology and Results: Pt-Co standard series solutions at concentrations of 5, 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100 concentration units (CU) were measured by spectrophotometric method and digitally enhanced colorimetric (DEC) method to obtain a response in the form of absorbance (Abs) and area under curve (AUC) value. Absorbance measurement was carried out at 317.5 nm (λ max). The AUC value was obtained from the 3-point RGB value measurements, made average so that a color band is produced, then quantified by translating the color band intensity into the response curve in ImageJ software. The Abs and AUC values of artificial samples are processed into CU values with linear equations resulting from linear regression test. The results of the calculation of CU values from the two measurement methods were tested using independent t test method to examine significant differences between the two measurement methods. Conclusion, significance and impact study: Coefficient of determination (R2) plot CU VS AUC = 0.8638, in independent t test was obtained p-value = 0.4246 at the 95% confidence level. Therefore, it can be concluded that digitally enhanced colorimetric could be used to determine water quality, especially color parameter in site measurement.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
数字增强比色法作为水质测定分析方法的前景
目的:本研究旨在观察基于数字图像处理的分析方法的潜在实施,作为可在现场实施的比色分析的替代方法。方法与结果:采用分光光度法和数字增强比色法分别测定浓度为5、10、20、30、40、50、60、70、80、90和100个浓度单位(CU)的Pt-Co标准系列溶液的吸光度(Abs)和曲线下面积(AUC)值。在317.5 nm (λ max)处进行吸光度测量。AUC值由3点RGB值测量得到,取平均值,形成一个色带,然后在ImageJ软件中将色带强度转化为响应曲线进行量化。人工样品的Abs和AUC值通过线性回归检验得到线性方程,处理成CU值。采用独立t检验方法对两种测量方法计算CU值的结果进行检验,以检验两种测量方法之间的显著性差异。结论,显著性及影响研究:决定系数(R2)图CU VS AUC = 0.8638,独立t检验在95%置信水平下得到p值= 0.4246。因此,数字增强比色法可以用于现场测量水质,特别是颜色参数的确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EFFECT OF DETENTION TIME IN REDUCING FE AND MN CONCENTRATION OF GROUNDWATER: CASE STUDY AT THE UNIVERSITAS NEGERI MALANG IMPACT OF CONSTRUCTION ACTIVITIES ON RESIDENTS OF CAPE COAST NORTH METROPOLIS, GHANA BIOPLASTIC FROM TAPIOCA STARCH WASTE AND RICE WASTE ANALYZING THE FACTORS THAT AFFECT THE AMOUNT OF PLASTIC WASTE DETERMINATION OF BATTERY WASTE MANAGEMENT STRATEGY IN THE IMPLEMENTATION OF ELECTRIC MOTORCYCLES IN DENPASAR CITY
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1