ZIF Nanocrystal-Based Surface Acoustic Wave (SAW) Electronic Nose to Detect Diabetes in Human Breath

Bahos, F.A.; Sainz-Vidal, Arianee; Sánchez‐Pérez, Celia; Sániger, José M.; Gràcia, I.; Saniger-Alba, María M; Matatagui, Daniel

doi:10.3390/bios9010004

Cited by 37 publications

(12 citation statements)

References 45 publications

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“…The system achieved an accuracy of 96.29% and an error rate of 0.050. Bahos et al tested an electronic nose comprising a surface acoustic wave (SAW) sensor array based on zeolitic imidazolate frameworks, ZIF-8, and ZIF-67 nanocrystals (pure and combined with gold nanoparticles) as sensitive layers, to detect acetone, ethanol, and ammonia [ 125 ]. The SAW sensor array consisted of four sensing layers with different compositions and performance characteristics.…”

Section: Discussionmentioning

confidence: 99%

Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

et al. 2021

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With the global population prevalence of diabetes surpassing 463 million cases in 2019 and diabetes leading to millions of deaths each year, there is a critical need for feasible, rapid, and non-invasive methodologies for continuous blood glucose monitoring in contrast to the current procedures that are either invasive, complicated, or expensive. Breath analysis is a viable methodology for non-invasive diabetes management owing to its potential for multiple disease diagnoses, the nominal requirement of sample processing, and immense sample accessibility; however, the development of functional commercial sensors is challenging due to the low concentration of volatile organic compounds (VOCs) present in exhaled breath and the confounding factors influencing the exhaled breath profile. Given the complexity of the topic and the skyrocketing spread of diabetes, a multifarious review of exhaled breath analysis for diabetes monitoring is essential to track the technological progress in the field and comprehend the obstacles in developing a breath analysis-based diabetes management system. In this review, we consolidate the relevance of exhaled breath analysis through a critical assessment of current technologies and recent advancements in sensing methods to address the shortcomings associated with blood glucose monitoring. We provide a detailed assessment of the intricacies involved in the development of non-invasive diabetes monitoring devices. In addition, we spotlight the need to consider breath biomarker clusters as opposed to standalone biomarkers for the clinical applicability of exhaled breath monitoring. We present potential VOC clusters suitable for diabetes management and highlight the recent buildout of breath sensing methodologies, focusing on novel sensing materials and transduction mechanisms. Finally, we portray a multifaceted comparison of exhaled breath analysis for diabetes monitoring and highlight remaining challenges on the path to realizing breath analysis as a non-invasive healthcare approach.

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Section: Discussionmentioning

confidence: 99%

Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

et al. 2021

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“…Calix4arene modification enhanced sensitivity largely due to the increase of the surface interaction area as well as the arrangement of the macrocyclic ligands ( Figure 12 ) [ 49 ]. The use of pristine or Au NPs-functionalized zeolitic-imidazole-framework nanocrystals (ZIF-8 and ZIF-67) in a 4-sensor array for the discrimination of diabetes biomarkers (acetone, ethanol, and NH 3 ) via PCA is another example of promising hybrid materials [ 138 ] ( Table 2 ). Molecularly functionalized MOS-NPs are also reported in the literature.…”

Section: Types Of Nanomaterial-based Sensors In Breath Analysismentioning

confidence: 99%

Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors

Kaloumenou

Skotadis

Lаgopati

et al. 2022

Sensors

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Early-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non-invasive diagnostic tools mandatory. One of the most promising non-invasive diagnostic methods that has also attracted great research interest during the last years is breath analysis; the method detects gas-analytes such as exhaled volatile organic compounds (VOCs) and inorganic gases that are considered to be important biomarkers for various disease-types. The diagnostic ability of gas-pattern detection using analytical techniques and especially sensors has been widely discussed in the literature; however, the incorporation of novel nanomaterials in sensor-development has also proved to enhance sensor performance, for both selective and cross-reactive applications. The aim of the first part of this review is to provide an up-to-date overview of the main categories of sensors studied for disease diagnosis applications via the detection of exhaled gas-analytes and to highlight the role of nanomaterials. The second and most novel part of this review concentrates on the remarkable applicability of breath analysis in differential diagnosis, phenotyping, and the staging of several disease-types, which are currently amongst the most pressing challenges in the field.

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“…In recent decades, various techniques have already shown promising results in respiratory analysis, including quartz crystal microbalance (QCM), [ 34 ] ion mobility spectrometry (IMS), [ 35,36 ] proton‐transfer‐reaction mass spectrometry (PTR‐MS), [ 37 ] gas chromatography, [ 38 ] surface acoustic wave (SAW), [ 39–41 ] differential mobility spectroscopy (DMS), [ 42 ] thin film transistor (TFT), [ 43–45 ] chemoresistive sensor, [ 46–50 ] and so on. However, a majority of them require an external power source and batteries are widely adopted.…”

Section: Introductionmentioning

confidence: 99%

Self‐Powered Respiration Monitoring Enabled By a Triboelectric Nanogenerator

et al. 2021

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In mammals, physiological respiration involves respiratory cycles of inhaled and exhaled breaths, which has traditionally been an underutilized resource potentially encompassing a wealth of physiologically relevant information as well as clues to potential diseases. Recently, triboelectric nanogenerators (TENGs) have been widely adopted for self‐powered respiration monitoring owing to their compelling features, such as decent biocompatibility, wearing comfort, low‐cost, and high sensitivity to respiration activities in the aspect of low frequency and slight amplitude body motions. Physiological respiration behaviors and exhaled chemical regents can be precisely and continuously monitored by TENG‐based respiration sensors for personalized health care. This article presents an overview of TENG enabled self‐powered respiration monitoring, with a focus on the working principle, sensing materials, functional structures, and related applications in both physical respiration motion detection and chemical breath analysis. Concepts and approaches for acquisition of physical information associated with respiratory rate and depth are covered in the first part. Then the sensing mechanism, theoretical modeling, and applications related to detection of chemicals released from breathing gases are systemically summarized. Finally, the opportunities and challenges of triboelectric effect enabled self‐powered respiration monitoring are comprehensively discussed and criticized.

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ZIF Nanocrystal-Based Surface Acoustic Wave (SAW) Electronic Nose to Detect Diabetes in Human Breath

Cited by 37 publications

References 45 publications

Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors

Self‐Powered Respiration Monitoring Enabled By a Triboelectric Nanogenerator

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