Handheld UV fluorescence spectrophotometer device for the classification and analysis of petroleum oil samples

Bills, Matthew V.; Loh, Andrew; Nguyen, Brandon; Ha, Sung Yong; Yim, Un Hyuk; Yoon, Jeong Yeol

doi:10.1016/j.bios.2020.112193

Cited by 26 publications

(8 citation statements)

References 10 publications

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“…As a strategy to overcome the limitations of the aforementioned method, absorption-based optical detection has gained significant attention because it allows both qualitative and quantitative analysis from the measured intensity and wavelength of light that has a specific interaction with an analyte. [9][10][11] A rapid and efficient opto-electrical method for the determination of blood components is demonstrated through a tin oxide (SnO 2 ) quantum dot (QD) fluorene copolymer heterojunction photodetector (FP-PD). The photo-active materials, the device structure, and the sensing system are carefully designed to provide miniaturization at a low cost.…”

Section: Facile Real-time Identification Of Blood Components With Sel...mentioning

confidence: 99%

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Facile, Real‐Time Identification of Blood Components with Self‐Powered Organic–Inorganic Heterostructure Photodetectors

Park

Kim²,

Shin³

et al. 2022

Advanced Optical Materials

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Section: Facile Real-time Identification Of Blood Components With Sel...mentioning

confidence: 99%

“…As a strategy to overcome the limitations of the aforementioned method, absorption‐based optical detection has gained significant attention because it allows both qualitative and quantitative analysis from the measured intensity and wavelength of light that has a specific interaction with an analyte. [ 9–11 ]…”

Section: Introductionmentioning

confidence: 99%

Facile, Real‐Time Identification of Blood Components with Self‐Powered Organic–Inorganic Heterostructure Photodetectors

Park

Kim²,

Shin³

et al. 2022

Advanced Optical Materials

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“…The custom development of the SAM web application used the Python programming language, with a MariaDB database manager, both open-source programs [42]. Python allowed the development of a friendly application with a graphical user interface (GUI), with execution libraries such as bootstrap, data tables, jquery moment [32,43]. Furthermore, python is a language compatible with the Raspberry Pi 4 computer; it allows internet connections through the ethernet port, Wi-Fi or Bluetooth [44,45].…”

Section: Sam Web Application Designmentioning

confidence: 99%

Fluid Level Measurement System in Oil Storage. Python, Lab-Based Scale

Escandón-Panchana¹,

Morante-Carballo²,

Herrera-Franco³

et al. 2022

MMEP

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Refineries, fuel depots, airports and storage terminals commonly use fluid level measurement in storage tanks. Different fluid level measurement techniques and devices differ in the inaccuracy of measurement results, costs, and company needs. In addition, these measurements seek reliability of measurement data, immediate response times, control in operations, oil movement, custody transfer and inventory control. The objective is to develop a computer system for measuring fluid levels in oil storage tanks, using ultrasonic and temperature sensors, creating a web application for an automated measurement system (SAM) for managing volumes of Petroleum. The study methodology is i) Analysis of measurement reports. ii) Selection of physical components of the computer system. iii) SAM algorithm design and web application, and iv) Validate the system. The SAM application developed in open source proposes functional modules for administration, control, security, management and monitoring of storage tanks, the status of physical components and generation of dynamic reports in real-time. The results show the control characteristics of storage tanks such as maximum and minimum volume, temperature, time, precise data records in less time than certain current computer structures.

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“…24 Raspberry was not developed to be just a low cost computer, but to be accessible to almost any user thanks the input-output (GPIO) connection pins. 24 They have been used to develop analytical applications, such as an UV uorescence spectrophotometer to classify oil spill samples, 25 the development of infrared thermometric titrations to determine sodium in sauces 26 or tequila identication using image treatment. 27 The electronic components that can be controlled by Arduino or Raspberry include different elements, such as photoresistors and colour sensors, which may be used to obtain analytical parameters.…”

Section: Introductionmentioning

confidence: 99%