A fluorescence-based sweat test sensor in a proof-of-concept clinical study for COVID-19 screening diagnosis

Thaveesangsakulthai, Isaya; Jongkhumkrong, Jinnawat; Chatdarong, Kaywalee; Torvorapanit, Pattama; Sukbangnop, Wannee; Sooksimuang, Thanasat; Kulsing, Chadin; Tomapatanaget, Boosayarat

doi:10.1039/d3an00429e

Cited by 4 publications

(3 citation statements)

References 45 publications

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“…Sweat could be applied as the sample matrix for COVID-19 diagnosis based on analysis of the volatile metabolites. [8] This may be explained according to disruption of the metabolisms with complex multistep processes, [9][10][11][12][13] microbiome dysbiosis, decreasing bacterial diversity [14] or increasing opportunistic pathogens [15][16] throughout the patient bodies caused by SARS-CoV-2 infection. These processes could ultimately lead to change of volatile metabolites including that on skin.…”

Section: Introductionmentioning

confidence: 99%

Using Gas Chromatography‐Ion Mobility Spectrometry to Investigate Volatile Compound Profiles in Human Sweat during COVID‐19 Vaccination

Phusrisom,

Tungkijanansin,

Sirinara

et al. 2024

ChemistrySelect

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In this study, gas chromatography‐ion mobility spectrometry (GC‐IMS) was applied to analyze sweat volatile compounds for differentiation of population with COVID‐19 vaccination. This involves tentative identification of the compounds in 50 axillary swab samples obtained from 10 healthy female volunteers before or after nucleic acid‐based COVID‐19 vaccination at different periods up to two days. The samples were collected by using sterilized cotton rods with the sampling time of 15 min. The data were analyzed using partial least squares discriminant analysis (PLS‐DA) showing separation of the groups before and after the vaccination. Receiver operating characteristic (ROC) curves were then constructed for the detected peaks which revealed four possible marker peaks with the significantly downregulated or upregulated contents in the vaccinated samples. One of these markers was tentatively identified as methanol. With the optimum peak volume thresholds, the sensitivity, specificity and accuracy were up to 100 %, 85 % and 94 %, respectively. The marker peak volumes along the vaccination progresses were also monitored showing the significant decrease or increase of their contents within 6 h after the vaccination. The analysis approaches are expected to be useful to confirm stages of other vaccination.

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Section: Introductionmentioning

confidence: 99%

Using Gas Chromatography‐Ion Mobility Spectrometry to Investigate Volatile Compound Profiles in Human Sweat during COVID‐19 Vaccination

Phusrisom,

Tungkijanansin,

Sirinara

et al. 2024

ChemistrySelect

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“…[17,18] HS-SPME-GC-MS has been widely used for VOCs identification together with data alignment and statistical analysis which can be used to categorize the identified compounds into several groups and to propose some potential volatile compound markers such as aldehydes and ketones [8,9] as well as nonanal. [20] This technique simplifies sample extraction and enrichment onto a modified microfiber, allowing for trace analysis without solvent consumption. [21] In this study, HS-SPME-GC-MS was applied for the determination of volatile metabolites in sweat samples of COVID-19 positive and negative volunteers from two hospitals in Bangkok, Thailand.…”

Section: Introductionmentioning

confidence: 99%

Identification of Volatile Markers in Sweat for COVID‐19 Screening by Gas Chromatography‐Mass Spectrometry

Chuachaina,

Thaveesangsakulthai,

Sinsukudomchai

et al. 2024

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Due to an outbreak of coronavirus spreading in recent years, there is an urgent need for effective, rapid, and non‐invasive diagnostics to detect and differentiate among patients who are infected and uninfected with SARS‐CoV‐2 for controlling the virus propagation. This study developed an alternative method for COVID‐19 screening from volatile analysis of metabolites mainly studied in sweat samples obtained from the populations in Bangkok, Thailand, during December 2020 to April 2022. A total of 140 collected samples; 70 positive confirmed COVID‐19 cases and another 70 negatives confirmed COVID‐19 cases were applied to be separated, detected, and identified as volatile organic compounds (VOCs)/odor occurring from SARS‐CoV‐2 infection body by the technique of Headspace solid‐phase microextraction gas chromatography‐mass spectrometry (HS‐SPME‐GC‐MS) together with principle component analysis (PCA), which allowed potential volatile markers of COVID‐19 such as pentadecane, nonanal, styrene, xylene, ethylbenzene, and 2‐ethylhexyl acrylate (up to 94 % accuracy, 93 % sensitivity, 96 % selectivity, and 94 % specificity), respectively, along with limit of detection in a range of 0.26–125 μg. The result was validated by comparison with the RT‐PCR results.

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“…In fact, numerous analytical devices are evolved every year for the detection of pathogenic viruses and bacteria in biological matrices. Different analytical technologies have been exploited to develop these analytical and bioanalytical devices such as chromatography, 6–8 spectroscopy, 9–19 electrophoresis, 20–27 immunoassay, 28–35 and electrochemistry. 36–41 However, accurate and selective determination of such microorganisms is usually performed by coupling different analytical methodologies to achieve the optimum analysis.…”

Section: Introductionmentioning

confidence: 99%

Advances in miniaturized nanosensing platforms for analysis of pathogenic bacteria and viruses

Zeid,

Mostafa,

Lou

et al. 2023

Lab Chip

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A fluorescence-based sweat test sensor in a proof-of-concept clinical study for COVID-19 screening diagnosis

Abstract: During the corona virus disease 2019 (COVID-19) pandemic period, rapid screening of covid-19 patients has been of great interest by developing a fluorescent sensor for complexation with nonanal, which is a marker for Covid-19 detection in sweat.

Cited by 4 publications

References 45 publications

Using Gas Chromatography‐Ion Mobility Spectrometry to Investigate Volatile Compound Profiles in Human Sweat during COVID‐19 Vaccination

Using Gas Chromatography‐Ion Mobility Spectrometry to Investigate Volatile Compound Profiles in Human Sweat during COVID‐19 Vaccination

Identification of Volatile Markers in Sweat for COVID‐19 Screening by Gas Chromatography‐Mass Spectrometry

Advances in miniaturized nanosensing platforms for analysis of pathogenic bacteria and viruses

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