A Portable Fiber Optic Real-time Smartphone-based Visible Spectrometer

A portable and cost-effective smartphone spectrometer was designed and tested for colorimetric analysis. The ambient light sensor of smartphone was applied as a detector, and an external light-emitting diode (LED) was used as a light source. An optical fiber is used to connect the cuvette and the mobile phone. Additionally, an Android smartphone application was designed for automatically quantifying the spectral parameters, such as absorbance and transmittance based on transmitted light intensity detected by the smartphone ambient light sensor. Determination data can be quickly verified on the spot and be displayed immediately on the phone screen. The device was evaluated by determining malachite green samples and compared with a commercial spectrophotometer. Results showed that this device can perform well with a simple structure and low-cost. The absorbance data read by this device were as high as that of commercial device. A linear regression (R2=0.999) was achieved with a linear range(0~75mg/L) in the experiment of quantifying malachite green, with RSDs ranged from 0.12% to 0.48 %. Results demonstrated that our device showed good accuracy and stability in fast speed. With the advantages of cost-effective, user friendly and portability, this smartphone spectrometer holds great application potential in many application fields.

Authors

Publication Details

Journal
Academic Journal of Science and Technology
Published
2024-11-06
DOI
https://doi.org/10.54097/vhyraq52
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Portable Fiber Optic Real-time Smartphone-based Visible Spectrometer

Liqiang Huang
Academic Journal of Science and Technology
Energy Efficient Wireless Sensor Networks
article

A Portable Fiber Optic Real-time Smartphone-based Visible Spectrometer

Liqiang Huang
article en

Abstract

A portable and cost-effective smartphone spectrometer was designed and tested for colorimetric analysis. The ambient light sensor of smartphone was applied as a detector, and an external light-emitting diode (LED) was used as a light source. An optical fiber is used to connect the cuvette and the mobile phone. Additionally, an Android smartphone application was designed for automatically quantifying the spectral parameters, such as absorbance and transmittance based on transmitted light intensity detected by the smartphone ambient light sensor. Determination data can be quickly verified on the spot and be displayed immediately on the phone screen. The device was evaluated by determining malachite green samples and compared with a commercial spectrophotometer. Results showed that this device can perform well with a simple structure and low-cost. The absorbance data read by this device were as high as that of commercial device. A linear regression (R2=0.999) was achieved with a linear range(0~75mg/L) in the experiment of quantifying malachite green, with RSDs ranged from 0.12% to 0.48 %. Results demonstrated that our device showed good accuracy and stability in fast speed. With the advantages of cost-effective, user friendly and portability, this smartphone spectrometer holds great application potential in many application fields.

Academic Journal of Science and TechnologyVol. 13(1)
Affordable and clean energy
Openalex Percentile: Top 77%
Energy Efficient Wireless Sensor Networks
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.

A Portable Fiber Optic Real-time Smartphone-based Visible Spectrometer — Liqiang Huang · Academic Journal of Science and Technology (2024) | TGRS Research Map | TGRS