Non-destructive detection of adulterated tablets of glibenclamide using NIR and solid-phase fluorescence spectroscopy and chemometric methods

In the recent years, plastic-based shopping bags have become irregular and progressively replaced by compostable ones. To be marketed, these “new plastics” must possess suitable requirements verified by specific bodies, which grant the conformity mark, and the approved physicochemical properties are periodically verified. The fast, inexpensive, non-destructive, easy to use, and reproducible Fourier-Transform infrared (FTIR) spectroscopy is a technique routinely applied to perform analysis in various industrial sectors. To get reliable information from spectral data, chemometric methods, such as Principal Component Analysis (PCA), are commonly suggested. In this context, PCA was herein performed on 4, 5, and 21 × 3251 matrices, collecting the FTIR data from regular and irregular shopping bags, including three freshly extruded films from the Italian industry MecPlast, to predict their compliance with legislation. The results allowed us to unequivocally achieve such information and to classify the bags as suitable for containing fresh food in bulk or only for transport. A self-validated linear model was developed capable to estimate, by acquiring a single FTIR spectrum if, after the productive process, the content of renewable poly-lactic-acid (PLA) in a new produced film respect the expectations. Surprisingly, our findings established that among the grocery bags available on the market, irregular plastic-based shopping bags continue to survive.

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Front-face synchronous fluorescence spectroscopy for rapid and non-destructive determination of free capsanthin, the predominant carotenoid in chili (Capsicum annuum L.) powders based on aggregation-induced emission

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2021.119696 ◽

2021 ◽

pp. 119696

Author(s):

Jin Tan ◽

Ming-Fen Li ◽

Rong Li ◽

Zi-Tao Jiang ◽

Shu-Hua Tang ◽

...

Keyword(s):

Fluorescence Spectroscopy ◽

Capsicum Annuum ◽

Synchronous Fluorescence ◽

Front Face ◽

Synchronous Fluorescence Spectroscopy ◽

Aggregation Induced Emission ◽

Capsicum Annuum L ◽

Non Destructive

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Non-Destructive Detection of Pentachlorophenol Residues in Historical Wooden Objects

Polymers ◽

10.3390/polym13071052 ◽

2021 ◽

Vol 13 (7) ◽

pp. 1052

Author(s):

Ida Kraševec ◽

Nataša Nemeček ◽

Maja Lozar Štamcar ◽

Irena Kralj Cigić ◽

Helena Prosen

Keyword(s):

Indoor Air ◽

Room Temperature ◽

Quantitative Methods ◽

Solid Phase ◽

Contact Mode ◽

Solvent Extraction Method ◽

Museum Objects ◽

Wooden Furniture ◽

Non Destructive ◽

Heritage Collections

Wood is a natural polymeric material that is an important constituent of many heritage collections. Because of its susceptibility to biodegradation, it is often chemically treated with substances that can be harmful to human health. One of the most widely used wood preservatives was pentachlorophenol (PCP), which is still present in museum objects today, although its use has been restricted for about forty years. The development of non-destructive methods for its determination, suitable for the analysis of valuable objects, is therefore of great importance. In this work, two non-destructive solid-phase microextraction (SPME) methods were developed and optimized, using either headspace or contact mode. They were compared with a destructive solvent extraction method and found to be suitable for quantification in the range of 7.5 to 75 mg PCP/kg wood at room temperature. The developed semi-quantitative methods were applied in the wooden furniture depot of National Museum of Slovenia. PCP was detected inside two furniture objects using headspace mode. The pesticide lindane was also detected in one object. The indoor air of the depot with furniture was also sampled with HS SPME, and traces of PCP were found. According to the results, SPME methods are suitable for the detection of PCP residues in museum objects and in the environment.

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Evaluation of Volatile Metabolites Emitted In-Vivo from Cold-Hardy Grapes during Ripening Using SPME and GC-MS: A Proof-of-Concept

Molecules ◽

10.3390/molecules24030536 ◽

2019 ◽

Vol 24 (3) ◽

pp. 536 ◽

Cited By ~ 4

Author(s):

Somchai Rice ◽

Devin Maurer ◽

Anne Fennell ◽

Murlidhar Dharmadhikari ◽

Jacek Koziel

Keyword(s):

Solid Phase ◽

Principal Component ◽

Hierarchical Cluster ◽

Temporal Variations ◽

Grape Berry ◽

Wine Industry ◽

Gas Chromatography Mass Spectrometry ◽

Cold Hardy ◽

Non Destructive

In this research, we propose a novel concept for a non-destructive evaluation of volatiles emitted from ripening grapes using solid-phase microextraction (SPME). This concept is novel to both the traditional vinifera grapes and the cold-hardy cultivars. Our sample models are cold-hardy varieties in the upper Midwest for which many of the basic multiyear grape flavor and wine style data is needed. Non-destructive sampling included a use of polyvinyl fluoride (PVF) chambers temporarily enclosing and concentrating volatiles emitted by a whole cluster of grapes on a vine and a modified 2 mL glass vial for a vacuum-assisted sampling of volatiles from a single grape berry. We used SPME for either sampling in the field or headspace of crushed grapes in the lab and followed with analyses on gas chromatography-mass spectrometry (GC-MS). We have shown that it is feasible to detect volatile organic compounds (VOCs) emitted in-vivo from single grape berries (39 compounds) and whole clusters (44 compounds). Over 110 VOCs were released to headspace from crushed berries. Spatial (vineyard location) and temporal variations in VOC profiles were observed for all four cultivars. However, these changes were not consistent by growing season, by location, within cultivars, or by ripening stage when analyzed by multivariate analyses such as principal component analysis (PCA) and hierarchical cluster analyses (HCA). Research into aroma compounds present in cold-hardy cultivars is essential to the continued growth of the wine industry in cold climates and diversification of agriculture in the upper Midwestern area of the U.S.

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On the rapid and non-destructive approach for wood identification using ATR-FTIR spectroscopy and chemometric methods

Vibrational Spectroscopy ◽

10.1016/j.vibspec.2020.103097 ◽

2020 ◽

Vol 110 ◽

pp. 103097

Author(s):

Vishal Sharma ◽

Jyoti Yadav ◽

Raj Kumar ◽

Daniela Tesarova ◽

Adam Ekielski ◽

...

Keyword(s):

Ftir Spectroscopy ◽

Wood Identification ◽

Chemometric Methods ◽

Non Destructive

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Multiblock Analysis Applied to TD-NMR of Butters and Related Products

Applied Sciences ◽

10.3390/app10155317 ◽

2020 ◽

Vol 10 (15) ◽

pp. 5317

Author(s):

Jean-Michel Roger ◽

Silvia Mas Garcia ◽

Mireille Cambert ◽

Corinne Rondeau-Mouro

Keyword(s):

Solid Phase ◽

Fat Content ◽

Prediction Errors ◽

Chemometric Methods ◽

Covariance Selection ◽

T1 Relaxation ◽

Repeatability Error ◽

Measurement Protocol ◽

Relaxation Measurements ◽

Better Than

This work presents a novel and rapid approach to predict fat content in butter products based on nuclear magnetic resonance longitudinal (T1) relaxation measurements and multi-block chemometric methods. The potential of using simultaneously liquid (T1L) and solid phase (T1S) signals of fifty samples of margarine, butter and concentrated fat by Sequential and Orthogonalized Partial Least Squares (SO-PLS) and Sequential and Orthogonalized Selective Covariance Selection (SO-CovSel) methods was investigated. The two signals (T1L and T1S) were also used separately with PLS and CovSel regressions. The models were compared in term of prediction errors (RMSEP) and repeatability error (σrep). The results obtained from liquid phase (RMSEP ≈ 1.33% and σrep≈ 0.73%) are better than those obtained with solid phase (RMSEP ≈ 5.27% and σrep≈ 0.69%). Multiblock methodologies present better performance (RMSEP ≈ 1.00% and σrep≈ 0.47%) and illustrate their power in the quantitative analysis of butter products. Moreover, SO-Covsel results allow for proposing a measurement protocol based on a limited number of NMR acquisitions, which opens a new way to quantify fat content in butter products with reduced analysis times.

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