A low-cost color sensor device for rapid detection of high-grade serous ovarian carcinoma (HGSOC)

A sensitive nucleic acid detection approach based on tracing the inorganic phosphate (Pi) created during amplification by means of the colorimetric method has been presented. This method relies on nucleic acid amplification. Pyrophosphate (PPi), a result of the nucleic acid polymerization reaction, was hydrolyzed into inorganic phosphate (Pi) by the addition of inorganic pyrophosphatase. To create the phosphomolybdate precipitate, the obtained Pi could react with acid molybdate. The color of amplified sample was changed into green. Using high grade serous ovarian carcinoma (HGSOC) as an example, this tactic's usefulness was proven. Here, describe the Ercose (Eraser + Color Sensor) device proof-of-concept, which uses a straightforward strategy without sacrificing the accuracy of the outcomes. Ercose is a simple, quick, weightless and inexpensive. A low-cost, user-friendly color sensor is suggested for development in this study to identify the hue of the objects. The test objects were progressively illuminated by the sensor's RGB light emitting diodes, which served as the light sources. The analogue voltage data were converted to digital form and serially delivered to a graphical user interface (GUI). To determine the test objects colors, the digitized voltage values were employed (i.e., RGB values). The microcontroller arduino nano was managed by the GUI, which also showed the needed color values. The Ercose device can be used in a variety of real-world scenarios where standard spectrophotometer devices are not practical.

Authors

Institutions

Publication Details

Journal
Oncoscience
Published
2026-03-13
DOI
https://doi.org/10.18632/oncoscience.652
Primary Topic
Infrared Thermography in Medicine
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A low-cost color sensor device for rapid detection of high-grade serous ovarian carcinoma (HGSOC)

Faisal Iqbal
Oncoscience
Infrared Thermography in Medicine
article

A low-cost color sensor device for rapid detection of high-grade serous ovarian carcinoma (HGSOC)

Faisal Iqbal
article en

Abstract

A sensitive nucleic acid detection approach based on tracing the inorganic phosphate (Pi) created during amplification by means of the colorimetric method has been presented. This method relies on nucleic acid amplification. Pyrophosphate (PPi), a result of the nucleic acid polymerization reaction, was hydrolyzed into inorganic phosphate (Pi) by the addition of inorganic pyrophosphatase. To create the phosphomolybdate precipitate, the obtained Pi could react with acid molybdate. The color of amplified sample was changed into green. Using high grade serous ovarian carcinoma (HGSOC) as an example, this tactic's usefulness was proven. Here, describe the Ercose (Eraser + Color Sensor) device proof-of-concept, which uses a straightforward strategy without sacrificing the accuracy of the outcomes. Ercose is a simple, quick, weightless and inexpensive. A low-cost, user-friendly color sensor is suggested for development in this study to identify the hue of the objects. The test objects were progressively illuminated by the sensor's RGB light emitting diodes, which served as the light sources. The analogue voltage data were converted to digital form and serially delivered to a graphical user interface (GUI). To determine the test objects colors, the digitized voltage values were employed (i.e., RGB values). The microcontroller arduino nano was managed by the GUI, which also showed the needed color values. The Ercose device can be used in a variety of real-world scenarios where standard spectrophotometer devices are not practical.

OncoscienceVol. 13
University of Illinois Chicago (US)
Zero hunger
Openalex Percentile: Top 19%
Infrared Thermography in Medicine
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.