Portable fizzy extraction ion-mobility spectrometry system

Chen, Chi-Hsiang; Prabhu, Gurpur Rakesh D.; Yu, Kai-Chiang; Elpa, Decibel P.; Urban, Pawel L.

doi:10.1016/j.aca.2022.339699

Cited by 6 publications

(5 citation statements)

References 45 publications

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“…The RSDs were lowest for the medium-volatility compounds. In some cases, the method shows a better repeatability and reproducibility than previous methods based on FE coupled with GC–MS and ion-mobility spectrometry. , The obtained RSD values for the selected volatiles are comparable to those mentioned in a report on HS-SPME …”

Section: Resultssupporting

confidence: 77%

“…This action significantly increases the amount of analyte molecules in the headspace of the solution, especially the amounts of semi-VOCs. The mechanism and the applicability − of this extraction technique have been demonstrated in earlier work. FE has some advantages over conventional sampling and sample preparation techniques: It does not require sorbent.…”

Section: Introductionmentioning

confidence: 89%

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Profiling Selected Volatiles in Whiskey by Fizzy Extraction Time-of-Flight Mass Spectrometry: Correlation with Perceived Quality and Age

Tan

Urban

2022

ACS Food Sci. Technol.

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Fizzy extraction (FE) is an extraction technique that extracts volatile organic compounds (VOCs) from liquid matrices using pressure-induced effervescence. The sudden decompression of a gas-saturated sample solution generates numerous microbubbles, which trap and transfer VOCs with different volatilities from the liquid phase into the headspace of the sample solution. Here, we coupled FE with an atmospheric pressure chemical ionization interface of a quadrupole time-of-flight mass spectrometry system to perform analysis of VOCs present in whiskeys. The hyphenated system has been optimized by using chemical standards. The optimized conditions are the following: saturation time, 40 s; equilibration time, 0 s; extraction time, 20 s; extract transfer tubing I.D., 1.0 mm; extract transfer tubing length, 80 cm. The limits of detection for ethyl acetate, ethyl propionate, ethyl butanoate, ethyl hexanoate, and ethyl octanoate are 7.48 × 10–8, 2.41 × 10–8, 1.63 × 10–9, 9.31 × 10–9, and 5.24 × 10–9 M, respectively. The repeatability relative standard deviations (RSDs) ranged from 6.00 to 12.17% (10 replicates on one day) while the reproducibility RSDs ranged from 4.01 to 11.47% (3 replicates on each of 6 different days). The resulting method was applied in analysis of 40 whiskeys originating from different countries or distilleries. The VOC profiles were used to characterize the whiskeys’ quality and age. Ethyl propionate and ethyl butanoate were found to be potential markers of whiskeys’ quality (using price per mL as the proxy of quality). In some cases, the concentrations of selected volatiles were found to increase when the age of whiskey increased. Additionally, we also determined the losses of selected volatiles in whiskey by analyzing the whiskey recurrently after opening the bottle. Overall, the developed method provides a fast (∼3 min), reliable, and green way to analyze VOCs in whiskey samples.

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Section: Resultssupporting

confidence: 77%

Section: Introductionmentioning

confidence: 89%

Profiling Selected Volatiles in Whiskey by Fizzy Extraction Time-of-Flight Mass Spectrometry: Correlation with Perceived Quality and Age

Tan

Urban

2022

ACS Food Sci. Technol.

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“…AMP1204; Air-Mart Industrial, Taichung, Taiwan) delivered air, which was used as the drift gas. In principle, small gas cylinders can be used instead of the air compressor; 41 however, they can supply gas only for a short period of time during field operation, which is inconvenient. The drift gas passed through the molecular sieve 5A moisture trap (model no.…”

Section: Methodsmentioning

confidence: 99%

Remote monitoring of volatiles by ion mobility spectrometry with wireless data transmission and centralized data analysis

Buchowiecki

Urban

2022

Digital Discovery

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“…Computer technology often plays a key role in modern sensing systems. A wide variety of sensors interface with computer devices such as microcontrollers, single-board computers, and conventional computers to convert analog signals into digital raw data to process them further. ,, Raw data often contains unwanted noise and irrelevant information. Extraction of significant information from acquired raw data requires the implementation of data processing procedures such as signal amplification, filtering, and noise reduction. , Sensors can be combined with processors, and operated with appropriate algorithms, machine learning, and AI to manipulate and analyze the data in real-time, which is crucial for taking timely decisions based on the acquired data. − Furthermore, some sensor devices are integrated with the Internet of Things to allow remote monitoring, control, and data analysis. − …”

Section: Computer Technology In Sensing Systemsmentioning

confidence: 99%

“…A wide variety of sensors interface with computer devices such as microcontrollers, single-board computers, and conventional computers to convert analog signals into digital raw data to process them further. 10 , 138 , 139 Raw data often contains unwanted noise and irrelevant information. Extraction of significant information from acquired raw data requires the implementation of data processing procedures such as signal amplification, filtering, and noise reduction.…”

Section: Computer Technology In Sensing Systemsmentioning

confidence: 99%

Automation and Computerization of (Bio)sensing Systems

Raju,

Elpa,

Urban

2024

ACS Sens.

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Sensing systems necessitate automation to reduce human effort, increase reproducibility, and enable remote sensing. In this perspective, we highlight different types of sensing systems with elements of automation, which are based on flow injection and sequential injection analysis, microfluidics, robotics, and other prototypes addressing specific real-world problems. Finally, we discuss the role of computer technology in sensing systems. Automated flow injection and sequential injection techniques offer precise and efficient sample handling and dependable outcomes. They enable continuous analysis of numerous samples, boosting throughput, and saving time and resources. They enhance safety by minimizing contact with hazardous chemicals. Microfluidic systems are enhanced by automation to enable precise control of parameters and increase of analysis speed. Robotic sampling and sample preparation platforms excel in precise execution of intricate, repetitive tasks such as sample handling, dilution, and transfer. These platforms enhance efficiency by multitasking, use minimal sample volumes, and they seamlessly integrate with analytical instruments. Other sensor prototypes utilize mechanical devices and computer technology to address real-world issues, offering efficient, accurate, and economical real-time solutions for analyte identification and quantification in remote areas. Computer technology is crucial in modern sensing systems, enabling data acquisition, signal processing, real-time analysis, and data storage. Machine learning and artificial intelligence enhance predictions from the sensor data, supporting the Internet of Things with efficient data management.

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Portable fizzy extraction ion-mobility spectrometry system

Cited by 6 publications

References 45 publications

Profiling Selected Volatiles in Whiskey by Fizzy Extraction Time-of-Flight Mass Spectrometry: Correlation with Perceived Quality and Age

Profiling Selected Volatiles in Whiskey by Fizzy Extraction Time-of-Flight Mass Spectrometry: Correlation with Perceived Quality and Age

Remote monitoring of volatiles by ion mobility spectrometry with wireless data transmission and centralized data analysis

Automation and Computerization of (Bio)sensing Systems

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