DOI: 10.5061/dryad.79cnp5j1v
title: A novel approach to low-cost, rapid and simultaneous colorimetric detection of multiple analytes using 3D printed microfluidic channels

description: This research paper presents an inventive technique to swiftly create
 microfluidic channels on distinct membrane papers, enabling colorimetric
 drug detection. Using a modified DIY RepRap 3D printer with a syringe
 pump, microfluidic channels (µPADs) are crafted on a flexible nylon-based
 substrate. This allows simultaneous detection of four common drugs with a
 single reagent. An optimized blend of Polydimethylsiloxane (PDMS)
 dissolved in hexane is used to create hydrophobic channels on various
 filter papers. The PDMS-hexane mixture infiltrates the paper's pores,
 forming hydrophobic barriers that confine liquids within the channels.
 These barriers are cured on the printer's hot plate, controlling
 channel width and preventing spreading. Capillary action drives fluid
 along these paths without spreading. This novel approach provides a
 versatile solution for rapid microfluidic channel creation on membrane
 papers. The DIY RepRap 3D printer integration offers precise control and
 faster curing. The PDMS-hexane solution accurately forms hydrophobic
 barriers, containing liquids within desired channels. The resulting
 microfluidic system holds potential for portable, cost-effective drug
 detection and various sensing applications.
description: The dataset was acquired utilizing AFM analysis software and a
 UV-VIS spectrometer, as referenced in the manuscript. Access to the Origin
 software is facilitated through institution.
description: AFM Analysis software (example Gwyddion)
 Origin 2016 Notepad
description: DATASETS INCLUDE 1. AFM CHARACTERIZATION The Atomic Force Microscopy (AFM)
 data pertaining to specific membrane substrates, namely Biodyne C,
 Biotrace NT, and Immunodyne ABC, utilized in this study are provided. For
 each substrate, comprehensive AFM datasets are presented, encompassing
 both coated and uncoated states with polydimethylsiloxane (PDMS). (a) The
 AFM data for Biodyne C membrane containing PDMS is named as
 (AFM_Biodyne_C_with PDMS.000) and for the Biodyne C membrane without
 membrane is named as (AFM_Biodyne_C_without_PDMS.000). (b) The AFM data
 for Biotrace NT membrane containing PDMS is named as (AFM_Biotrace_NT_with
 PDMS) and for the Biodyne C membrane without membrane is named as
 (AFM_Biotrace_NT_without_PDMS.000). (c) The AFM data for Immunodyne ABC
 membrane containing PDMS is named as (AFM_Immunodyne_ABC_With PDMS) and
 for the Biodyne C membrane without membrane is named as
 (AFM_Immunodyne_ABC_without_PDMS.000). Enclosed within this resource are
 the unprocessed Atomic Force Microscopy (AFM) analysis raw files. These
 files have been utilized in the composition to elucidate the hydrophobic
 characteristics of the PDMS:Hexane solution upon its application to the
 paper substrate. 1. UV-VIS Spectroscopy The UV-VIS spectroscopy of the
 colorimetric complexes formed by the drugs Paracetamol, Aspirin,
 Ciprofloxacin and Salicylic acid after reaction with FeCl3 are provided.
 The raw UV-VIS datasets are in text form. (a) Within these datasets, the
 initial column encompasses wavelength data, while the subsequent column is
 indicative of absorption values. Each dataset is systematically labeled to
 align with a specific drug; for instance, the dataset pertaining to
 Paracetamol is denoted as "Paracetamol". (b) Deconvolution
 datasets serving as the source files for these pharmaceutical compounds
 are provided. The generation of origin plots is accomplished using ORIGIN
 2016. Each drug and its corresponding deconvolution plot are encapsulated
 within the origin file. Specifically, the datasets for Ciprofloxacin,
 Aspirin, Salicylic acid, and Paracetamol are denoted as DATACIPROFLOXACIN,
 DATAASPIRIN, DATASALICYLICACID, and DATAPARACETAMOL. The corresponding
 deconvolution plots are labeled as CIPROFLOXACINDeconvolution,
 ASPIRINDeconvolution, SALICYLICACIDDeconvolution, and
 PARACETAMOLDeconvolution. These data files are integral to the manuscript,
 offering pivotal insights into the colorimetric analysis of these
 pharmaceutical compounds. The data is not derived from any other sources.