Detection of COPD and Lung Cancer with electronic nose using ensemble learning methods DOI

V A Binson,

M. Subramoniam,

Luke Mathew

и другие.

Clinica Chimica Acta, Год журнала: 2021, Номер 523, С. 231 - 238

Опубликована: Окт. 8, 2021

Язык: Английский

Phytobioactive compounds as therapeutic agents for human diseases: A review DOI Creative Commons
Muhammad Riaz,

Ramsha Khalid,

Muhammad Afzal

и другие.

Food Science & Nutrition, Год журнала: 2023, Номер 11(6), С. 2500 - 2529

Опубликована: Апрель 17, 2023

Phytobioactive compounds are plant secondary metabolites and bioactive abundantly present in medicinal plants have remarkable therapeutic potential. Oxidative stress antibiotic resistance major causes of present-day ailments such as diabetes, atherosclerosis, cardiovascular disorders, cancer, inflammation. The data for this review were collected from Google Scholar, PubMed, Directory Open Access Journals (DOAJ), Science Direct by using keywords: "Medicinal plants, compounds, Polyphenols, Alkaloids, Carotenoids etc." Several studies reported the pharmacological potential phytobioactives. alkaloids, terpenes, polysaccharides isolated showed antioxidant, anticancer, cytotoxic, anti-inflammatory, cardioprotective, hepatoprotective, immunomodulatory, neuroprotective, antidiabetic activities. This literature was planned to provide comprehensive insight into biopharmacological phytobioactive compounds. techniques used extraction isolation bioassays required their biological activities antimicrobial, cytotoxic activities, been discussed. Characterization structural elucidation HPLC, TLC, FTIR, GC-MS/MS, NMR also concludes that may be alternative synthetic agents treatment various diseases.

Язык: Английский

Процитировано

115

Volatile compounds in human breath: critical review and meta-analysis DOI Creative Commons
Theo Issitt, L. F. Wiggins, Martin Veysey

и другие.

Journal of Breath Research, Год журнала: 2022, Номер 16(2), С. 024001 - 024001

Опубликована: Фев. 4, 2022

Volatile compounds contained in human breath reflect the inner workings of body. A large number studies have been published that link individual components to disease, but diagnostic applications remain limited, part due inconsistent and conflicting identification biomarkers. New approaches are therefore required identify effective biomarker targets. Here, volatile organic identified literature from four metabolically physiologically distinct diseases grouped into chemical functional groups (e.g. methylated hydrocarbons or aldehydes; based on known metabolic enzymatic pathways) support discovery provide new insight existing data. Using this grouping approach, principal component analysis doubled explanatory capacity 19.1% 38% relative single compound approaches. Random forest linear discriminant reveal 93% classification accuracy for cancer. This review meta-analysis provides future research design by identifying associated with disease. By incorporating our understanding complexities body, along accounting variability methodological analytical approaches, work demonstrates a suite targeted, biomarkers, rather than compounds, will improve success application.

Язык: Английский

Процитировано

93

Automating the design-build-test-learn cycle towards next-generation bacterial cell factories DOI Creative Commons
Nicolás Gurdo, Daniel C. Volke, Douglas McCloskey

и другие.

New Biotechnology, Год журнала: 2023, Номер 74, С. 1 - 15

Опубликована: Янв. 31, 2023

Automation is playing an increasingly significant role in synthetic biology. Groundbreaking technologies, developed over the past 20 years, have enormously accelerated construction of efficient microbial cell factories. Integrating state-of-the-art tools (e.g. for genome engineering and analytical techniques) into design-build-test-learn cycle (DBTLc) will shift metabolic paradigm from almost artisanal labor towards a fully automated workflow. Here, we provide perspective on how DBTLc could be harnessed to construct next-generation bacterial factories fast, high-throughput fashion. Innovative toolsets approaches that pushed boundaries each segment are reviewed this end. We also present most recent efforts automation DBTLc, which heralds autonomous pipeline biology near future.

Язык: Английский

Процитировано

44

High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage DOI Creative Commons
Yunjia Lai, Jeremy P. Koelmel, Douglas G. Walker

и другие.

Environmental Science & Technology, Год журнала: 2024, Номер 58(29), С. 12784 - 12822

Опубликована: Июль 10, 2024

In the modern "omics" era, measurement of human exposome is a critical missing link between genetic drivers and disease outcomes. High-resolution mass spectrometry (HRMS), routinely used in proteomics metabolomics, has emerged as leading technology to broadly profile chemical exposure agents related biomolecules for accurate measurement, high sensitivity, rapid data acquisition, increased resolution space. Non-targeted approaches are increasingly accessible, supporting shift from conventional hypothesis-driven, quantitation-centric targeted analyses toward data-driven, hypothesis-generating exposome-wide profiling. However, HRMS-based exposomics encounters unique challenges. New analytical computational infrastructures needed expand analysis coverage through streamlined, scalable, harmonized workflows pipelines that permit longitudinal tracking, retrospective validation, multi-omics integration meaningful health-oriented inferences. this article, we survey literature on state-of-the-art technologies, review current informatic pipelines, provide an up-to-date reference exposomic chemists, toxicologists, epidemiologists, care providers, stakeholders health sciences medicine. We propose efforts benchmark fit-for-purpose platforms expanding space, including gas/liquid chromatography-HRMS (GC-HRMS LC-HRMS), discuss opportunities, challenges, strategies advance burgeoning field exposome.

Язык: Английский

Процитировано

22

Implementation of liquid chromatography–high resolution mass spectrometry methods for untargeted metabolomic analyses of biological samples: A tutorial DOI
Julian Pezzatti, Julien Boccard, Santiago Codesido

и другие.

Analytica Chimica Acta, Год журнала: 2020, Номер 1105, С. 28 - 44

Опубликована: Янв. 2, 2020

Язык: Английский

Процитировано

120

Recent trends in application of chemometric methods for GC-MS and GC×GC-MS-based metabolomic studies DOI

Neda Feizi,

Fatemeh Sadat Hashemi-Nasab,

Fatemeh Golpelichi

и другие.

TrAC Trends in Analytical Chemistry, Год журнала: 2021, Номер 138, С. 116239 - 116239

Опубликована: Фев. 24, 2021

Язык: Английский

Процитировано

101

Advanced tandem mass spectrometry in metabolomics and lipidomics—methods and applications DOI Creative Commons
Sven Heiles

Analytical and Bioanalytical Chemistry, Год журнала: 2021, Номер 413(24), С. 5927 - 5948

Опубликована: Июнь 18, 2021

Abstract Metabolomics and lipidomics are new drivers of the omics era as molecular signatures selected analytes allow phenotypic characterization serve biomarkers, respectively. The growing capabilities untargeted targeted workflows, which primarily rely on mass spectrometric platforms, enable extensive charting or identification bioactive metabolites lipids. Structural annotation these compounds is key in order to link specific entities defined biochemical functions phenotypes. Tandem spectrometry (MS), first foremost collision-induced dissociation (CID), method choice unveil structural details But CID fragment ions often not sufficient fully characterize analytes. Therefore, recent years have seen a surge alternative tandem MS methodologies that aim offer full In this article, principles, capabilities, drawbacks, applications “advanced spectrometry” strategies will be critically reviewed. This includes methods based electrons, photons, ion/molecule, well ion/ion reactions, combining with concepts from optical spectroscopy making use derivatization strategies. final sections review, combination liquid chromatography imaging highlighted future perspectives for research metabolomics discussed. Graphical abstract

Язык: Английский

Процитировано

98

Plants Metabolome Study: Emerging Tools and Techniques DOI Creative Commons
Manish Kumar Patel, Sonika Pandey, Manoj Kumar

и другие.

Plants, Год журнала: 2021, Номер 10(11), С. 2409 - 2409

Опубликована: Ноя. 8, 2021

Metabolomics is now considered a wide-ranging, sensitive and practical approach to acquire useful information on the composition of metabolite pool present in any organism, including plants. Investigating metabolomic regulation plants essential understand their adaptation, acclimation defense responses environmental stresses through production numerous metabolites. Moreover, metabolomics can be easily applied for phenotyping plants; thus, it has great potential used genome editing programs develop superior next-generation crops. This review describes recent analytical tools techniques available study metabolome, along with significance sample preparation using targeted non-targeted methods. Advanced tools, like gas chromatography-mass spectrometry (GC-MS), liquid chromatography mass-spectroscopy (LC-MS), capillary electrophoresis-mass (CE-MS), fourier transform ion cyclotron resonance-mass (FTICR-MS) matrix-assisted laser desorption/ionization (MALDI), mobility (IMS) nuclear magnetic resonance (NMR) have speed up precise metabolic profiling Further, we provide complete overview bioinformatics plant metabolome database that utilized advance our knowledge biology.

Язык: Английский

Процитировано

93

Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India DOI
Ratnasekhar Ch, Olivier Chevallier,

Philip McCarron

и другие.

Food Chemistry, Год журнала: 2020, Номер 334, С. 127553 - 127553

Опубликована: Июль 13, 2020

Язык: Английский

Процитировано

88

Chromatography hyphenated to high resolution mass spectrometry in untargeted metabolomics for investigation of food (bio)markers DOI
Leticia Lacalle-Bergeron, David Izquierdo-Sandoval, Juan V. Sancho

и другие.

TrAC Trends in Analytical Chemistry, Год журнала: 2020, Номер 135, С. 116161 - 116161

Опубликована: Дек. 24, 2020

Язык: Английский

Процитировано

88