Quartz crystal microbalance gas sensor arrays for the quality control of chocolate

Compagnone, Darío; Faieta, Marco; Pizzoni, Daniel; Natale, Corrado Di; Paolesse, Roberto; Caelenberg, T. Van; Beheydt, Bram; Pittia, Paola

doi:10.1016/j.snb.2014.10.049

Cited by 51 publications

(38 citation statements)

References 17 publications

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“…As a practical use, the pattern recognition of these new sensors was estimated by using the unsupervised multivariate algorithm PCA, a convenient tool often used in sensors post-processing analysis (Akamatsu et al, 2017;Compagnone et al, 2015;Di Natale et al, 2014;Imamura et al, 2017). Data obtained demonstrated that the hpDNA sensors, used as array, were able to discriminate the eight molecules on the basis of molecular weight and functional groups.…”

Section: Introductionmentioning

confidence: 99%

Hairpin DNA-AuNPs as molecular binding elements for the detection of volatile organic compounds

Mascini

Gaggiotti

Pelle

et al. 2019

Biosensors and Bioelectronics

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Hairpin DNA (hpDNA) loops were used for the first time as molecular binding elements in gas analysis. The hpDNA loops sequences of unpaired bases were studied in-silico to evaluate the binding versus four chemical classes (alcohols, aldehydes, esters and ketones) of volatile organic compounds (VOCs). The virtual binding score trend was correlated to the oligonucleotide size and increased of about 25% from tetramer to hexamer. Two tetramer and pentamer and three hexamer loops were selected to test the recognition ability of the DNA motif. The selection was carried out trying to maximize differences among chemical classes in order to evaluate the ability of the sensors to work as an array. All oligonucleotides showed similar trends with best binding scores for alcohols followed by esters, aldehydes and ketones. The seven ssDNA loops (CCAG, TTCT, CCCGA, TAAGT, ATAATC, CATGTC and CTGCAA) were then extended with the same double helix stem of four base pair DNA (GAAG to 5' end and CTTC to 3' end) and covalently bound to gold nanoparticles (AuNPs) using a thiol spacer attached to 5' end of the hpDNA. HpDNA-AuNPs were deposited onto 20 MHz quartz crystal microbalances (QCMs) to form the gas piezoelectric sensors. An estimation of relative binding affinities was obtained using different amounts of eight VOCs (ethanol, 3-methylbutan-1-ol, 1-pentanol, octanal, nonanal, ethyl acetate, ethyl octanoate, and butane-2,3-dione) representative of the four chemical classes. In agreement with the predicted simulation, hexamer DNA loops improved by two orders of magnitude the binding affinity highlighting the key role of the hpDNA loop size. Using the sensors as an array a clear discrimination of VOCs on the basis of molecular weight and functional groups was achieved, analyzing the experimental with principal components analysis (PCA) demonstrating that HpDNA is a promising molecular binding element for analysis of VOCs.

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Section: Introductionmentioning

confidence: 99%

Hairpin DNA-AuNPs as molecular binding elements for the detection of volatile organic compounds

Mascini

Gaggiotti

Pelle

et al. 2019

Biosensors and Bioelectronics

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“…Furthermore, good results were obtained for distinguishing between the aroma profiles of water and fruit juices, where the latter is influenced by fruit and sugar content [147]. Both an array with eight metalloporphyrin-coated QCM sensors and an array with eight AuNP-peptide-coated QCM sensors were able to discriminate standard chocolate samples from artificially degraded chocolate samples with good accuracy, albeit the peptide-coated sensors showed a better prediction performance [148].…”

Section: Qcm Multi-sensor Arraysmentioning

confidence: 99%

Bulk and Surface Acoustic Wave Sensor Arrays for Multi-Analyte Detection: A Review

Länge

2019

Sensors

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Bulk acoustic wave (BAW) and surface acoustic wave (SAW) sensor devices have successfully been used in a wide variety of gas sensing, liquid sensing, and biosensing applications. Devices include BAW sensors using thickness shear modes and SAW sensors using Rayleigh waves or horizontally polarized shear waves (HPSWs). Analyte specificity and selectivity of the sensors are determined by the sensor coatings. If a group of analytes is to be detected or if only selective coatings (i.e., coatings responding to more than one analyte) are available, the use of multi-sensor arrays is advantageous, as the evaluation of the resulting signal patterns allows qualitative and quantitative characterization of the sample. Virtual sensor arrays utilize only one sensor but combine it with enhanced signal evaluation methods or preceding sample separation, which results in similar results as obtained with multi-sensor arrays. Both array types have shown to be promising with regard to system integration and low costs. This review discusses principles and design considerations for acoustic multi-sensor and virtual sensor arrays and outlines the use of these arrays in multi-analyte detection applications, focusing mainly on developments of the past decade.

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“…Other applications to food analysis include the identification of peaches cultivars [26], the determination of the optimal picking time of apples [27] and the detection of off-flavors in packaged chocolate [28].…”

Section: Mass Transducers: Quartz Microbalancementioning

confidence: 99%

Porphyrins for olfaction mimic: The Rome Tor Vergata approach

Natale

Martinelli

Mandoj

et al. 2017

J. Porphyrins Phthalocyanines

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ABSTRACT:The impressive chemistry shown by porphyrins in natural systems is particularly attractive for exploitation in chemical sensors. In these devices the sensing mechanisms can mimic most of the porphyrin biological reactivity, such as reversible binding, activation of small molecules, redox activity, and photoactivated processes. The simultaneous presence of multiple binding mechanisms allows porphyrins to interact with a large variety of analytes. This feature reduces the selectivity, but prompts the development of sensor arrays, where the cross-selectivity of more sensors is used to classify and identify samples characterized by a complex composition. Since 1995 the Sensors Group of the University of Rome Tor Vergata has exploited these features to prepare sensor arrays based on different transducers and aimed at several applications. These kinds of devices have been reported as electronic noses (gaseous phase analytes) and electronic tongues (liquid phase analytes) to underline that their working mechanisms are tentatively similar to that of biological senses. We report here some of the results obtained.

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Quartz crystal microbalance gas sensor arrays for the quality control of chocolate

Cited by 51 publications

References 17 publications

Hairpin DNA-AuNPs as molecular binding elements for the detection of volatile organic compounds

Hairpin DNA-AuNPs as molecular binding elements for the detection of volatile organic compounds

Bulk and Surface Acoustic Wave Sensor Arrays for Multi-Analyte Detection: A Review

Porphyrins for olfaction mimic: The Rome Tor Vergata approach

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