Nanomaterial-Based Sensors for Exhaled Breath Analysis: A Review

نویسندگان

چکیده

The quantification of gases in breath has gained significant attention as a modern diagnosis method due to its non-invasive nature, and painless straightforward for the early detection physiological disorders. Several notable clinical applications have been established disease by correlating exhaled samples specific diseases. In addition, diverse molecules represent biomarker illnesses are precisely identified standard analytical method. However, because bulky equipment size, expensive cost, complexity measurement when using methods, many researchers focusing on developing highly selective, sensitive, stable, robust, economical sensors analysis. It is essential optimize approaches such sampling, sensing, data analysis, etc. ppb-level biomarkers too challenging solve abundance interfering gases. We present brief comprehensive review recent diagnostic technique that employs nanomaterial (NM)-based identify volatile organic compounds (VOCs) associated Because they easily fabricated, chemically versatile, can be integrated with existing sensing platforms, NMs ideal sensors. Initially, this provides crucial details about certain representative found diseased patients’ demand Subsequently, highlights sensor technologies electrical, optical, mass-sensitive gas describes their capability detecting biomarkers’ concentrations primary endeavor diagnosing disease. Finally, pitfalls challenges characteristics discussed. This article lays basis high-performance based novel NMs.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

CME review Human exhaled breath analysis

Objective: To review the fast-developing topic of assessment of exhaled breath components to improve the diagnosis and monitoring of respiratory and systemic diseases. Data Sources: Review of the literature available in monographs and journals. Study Selection: Articles and overviews on the broad spectrum of existing experimental and routinely applied methods to assess different aspects of huma...

متن کامل

Physiological Modeling for Analysis of Exhaled Breath

Due to its broad scope and applicability, breath gas analysis holds great promise as a versatile framework for general bio-monitoring applications. As a biochemical probe, volatile organic compounds (VOCs) in exhaled breath are unique in the sense that they can provide both non-invasive and continuous information on the metabolic and physiological state of an individual. Apart from diagnostics ...

متن کامل

Collection of exhaled breath and exhaled breath condensate in veterinary medicine. A review.

Collection of exhaled breath (EB) and exhaled breath condensate (EBC) is a noninvasive method for obtaining samples from the lower airways. While this technique has been well established for the diagnosis of lower respiratory tract diseases in human medicine, only a few studies have been performed in veterinary medicine. This article critically reviews the collection methods and parameter value...

متن کامل

Detecting active pulmonary tuberculosis with a breath test using nanomaterial-based sensors.

Grace V. O’Donovan, Houdini H.T. Wu, Oona Y-C. Lee, Ramasamyiyer Swaminathan, Graham F. Cope and Heather J. Milburn Dept of Respiratory Medicine, Mayday University Hospital, Croydon, Dept of Biochemistry, Guy’s and St Thomas’ NHS Foundation Trust, London, King’s College London School of Medicine, University of London, London, Dept of Respiratory Medicine, Guy’s and St Thomas’ NHS Foundation Tru...

متن کامل

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath.

Two of the biggest challenges in medicine today are the need to detect diseases in a noninvasive manner and to differentiate between patients using a single diagnostic tool. The current study targets these two challenges by developing a molecularly modified silicon nanowire field effect transistor (SiNW FET) and showing its use in the detection and classification of many disease breathprints (l...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Coatings

سال: 2022

ISSN: ['2079-6412']

DOI: https://doi.org/10.3390/coatings12121989