Journal articles: 'Spectroscopie non destructive'

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Bergmann, Uwe, Rafaella Georgiou, Pierre Gueriau, Jean-Pascal Rueff, and Loïc Bertrand. "Nouvelles spectroscopies Raman X du carbone pour les matériaux anciens." Reflets de la physique, no. 63 (October 2019): 22–25. http://dx.doi.org/10.1051/refdp/201963022.

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L’identification des composés à base de carbone, bien que difficile, est une source d’information essentielle dans de nombreuses études archéologiques et paléontologiques. La diffusion Raman de rayons X est une méthode de spectroscopie sur synchrotron qui permet d’identifier des signatures organiques, de retracer l’origine chimique des systèmes étudiés et de comprendre l’altération des composés organiques dans le temps. Cette technique, conduite de manière non destructive, dans l’air, avec une sensibilité en profondeur afin de fournir des informations non compromises par la contamination superficielle, surmonte ainsi plusieurs contraintes fondamentales à la caractérisation des matériaux organiques anciens.

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VUILLEMIN, Jerôme. "Le cryptoméria de La Réunion (Cryptomeria japonica) : durabilité naturelle face aux champignons basidiomycètes et aux termites, et apports de la spectroscopie proche infrarouge dans la prédiction de ses caractéristiques." BOIS & FORETS DES TROPIQUES 358 (December 25, 2023): 73–74. http://dx.doi.org/10.19182/bft2023.358.a37418.

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Le cryptoméria (Cryptomeria japonica) est la seule essence de bois locale exploitable dans la construction à La Réunion. Cependant, sa durabilité variable face aux champignons basidiomycètes et aux termites constitue un frein au déploiement de son utilisation locale, où les conditions climatiques sont particulièrement favorables à la dégradation des matériaux biosourcés. Cette thèse a consisté à déterminer avec précision la durabilité naturelle de cette essence face à deux espèces de champignons ubiquistes basidiomycètes (Rhodonia placenta et Coniophora puteana) et deux espèces de termites (Coptotermes gestroi de La Réunion et Reticulitermes flavipes de France continentale), en réalisant un très large échantillonnage. À titre comparatif, du pin sylvestre (faiblement durable), du Red cedar (durable), ainsi que des bardages en cryptoméria exposés à La Réunion depuis 7 ans ont été testés dans les mêmes conditions, délavés ou non, et soumis aux organismes lignivores selon les protocoles normalisés européens en vigueur. En complément, la spectroscopie proche infra-rouge, couplée à la chimiométrie, est utilisée afin de prédire la durabilité face aux champignons basidiomycètes. Les résultats obtenus confirment la sensibilité du cryptoméria vis à vis des termites et attestent d’une très forte variabilité de la durabilité du cryptoméria face aux champignons. Les dispositions prévues dans la norme EN 350 (2016) ne permettent pas de classer cette essence car les valeurs de perte de masse (due à la dégradation des champignons) se répartissent dans les 5 classes de durabilité allant de « très durable » à « non durable ». Le délavage et le vieillissement naturel permettent de mieux appréhender la performance du cryptoméria et le classer « faiblement durable à non durable ». Le délavage n’a pas d’influence sur les performances du Red cedar et du pin sylvestre, lesquels restent classés « durable » et « faiblement durable » respectivement. La spectroscopie proche infra-rouge est finalement un outil performant pour la prédiction de la durabilité naturelle de ces essences face aux champignons. À l’aide de notre modèle robuste, cet outil prédictif contribuera à une utilisation optimale du cryptoméria en permettant une évaluation non-destructive de la durabilité de ce bois dans le but d’assurer une performance optimale, en particulier en zone ultramarine tropicale.

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León, L., and A. Gracia. "Non-destructive assessment of olive fruit ripening by portable near infrared spectroscopy." Grasas y Aceites 62, no. 3 (May 11, 2011): 268–74. http://dx.doi.org/10.3989/gya.089610.

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Lu, Yuzhen, and Renfu Lu. "Non-Destructive Defect Detection of Apples by Spectroscopic and Imaging Technologies: A Review." Transactions of the ASABE 60, no. 5 (2017): 1765–90. http://dx.doi.org/10.13031/trans.12431.

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Abstract. Apples are susceptible to a wide range of defects that can occur in the orchard and during the post-harvest period. Detection of these defects by non-destructive sensing techniques is of great importance for the apple industry and has been an intensive research topic over the past two decades. This review presents an overview of common defects in apples, encompassing physiological disorders, mechanical damage, pathological disorders, and contamination. Presented and discussed in this review is research progress on the detection of defects in apples using various non-destructive spectroscopic and imaging techniques, including visible/near-infrared spectroscopy, fluorescence spectroscopy and imaging, monochromatic and color imaging, hyperspectral and multispectral imaging, x-ray imaging, magnetic resonance imaging, thermal imaging, time-resolved and spatially resolved spectroscopy, Raman spectroscopy, biospeckle imaging, and structured-illumination reflectance imaging. This review concludes with remarks on the prospects of these techniques and research needs in the future. Keywords: Apples, Defects, Imaging, Non-destructive detection, Quality, Safety, Spectroscopy.

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Mac, Hoa Xuan, Thanh Tung Pham, Nga Thi Thanh Ha, Lien Le Phuong Nguyen, László Baranyai, and László Friedrich. "Current Techniques for Fruit Juice and Wine Adulterant Detection and Authentication." Beverages 9, no. 4 (October 9, 2023): 84. http://dx.doi.org/10.3390/beverages9040084.

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Fruit juice and wine are important beverages that are consumed all over the world. Due to their constantly increasing demand and high value, fruit juice and wine are one of the most frequent targets of adulteration. Since adulterated foods are proven to have harmful effects on health, several approaches have been utilized for the detection of fruit juice and wine adulteration. Based on the requirement for sample destruction, analytical techniques to assess food authenticity can be classified into 2 main categories, i.e., destructive and non-destructive techniques. This paper provides an overview on the principle of adulteration detection, its application and performance, and the advantages and limitations of various analytical techniques. Destructive approaches, such as physicochemical methods, isotope analysis, elemental analysis, chromatographic techniques, and DNA-based techniques, are reviewed. Furthermore, non-destructive approaches, including spectroscopic-based techniques, nuclear magnetic resonance spectroscopic technique, electronic techniques, and imaging-based techniques, are discussed.

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Gatta, Giacomo Diego, Ilaria Adamo, Andrea Zullino, Valentina Gagliardi, Roberto Lorenzi, Nicola Rotiroti, Ludovica Faldi, and Loredana Prosperi. "A Multi-Methodological Investigation of Natural and Synthetic Red Beryl Gemstones." Minerals 12, no. 4 (April 1, 2022): 439. http://dx.doi.org/10.3390/min12040439.

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In this study, we report the experimental findings of a multi-methodological and comparative investigation of a natural (from the Wah Wah Mountains of Beaver County, Utah) and three synthetic (hydrothermally grown) gem-quality red beryls by means of: gemmological standard testing, laser ablation inductively coupled mass spectroscopy, infrared and Raman spectroscopy, ultraviolet–visible–near infrared absorption spectroscopy, and single-crystal X-ray diffraction. Gemmological, crystallo-chemical, and spectroscopic features of the natural and synthetic stones enabled us to unveil the causes of their color (from red, to purplish-red, or orange-red) and how different and complementary techniques can be efficiently used to discriminate between natural and synthetic materials, based on non-destructive, micro-destructive, and destructive techniques.

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Yadav, Vijay Kumar, Kriti Nigam, and Ankit Srivastava. "Forensic investigation of arson residue by infrared and Raman spectroscopy: From conventional to non-destructive techniques." Medicine, Science and the Law 60, no. 3 (April 11, 2020): 206–15. http://dx.doi.org/10.1177/0025802420914807.

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Arson can result in highly challenging and complicated crime scenes. Much physical evidence undergoes chemical degradation because of the destructive nature of fire, while accelerants either completely burn or evaporate, and may be present in traces within any of the decomposed materials. To identify the original material and the accelerant involved, it is necessary to use advanced analytical techniques. Gas chromatography, with different detectors, is one of the most frequently used instruments in fire debris and accelerant analysis. Among other instruments, capillary electrophoresis and laser-induced thermal desorption Fourier transform mass spectrometry are two major contributors. Vibrational spectroscopy, including infrared absorption and Raman scattering, is one of the major non-destructive tools for the analysis of evidence because of its advantages over other spectroscopic techniques. Most studies involving vibrational spectroscopy (i.e. infrared and Raman spectroscopy) have focused on the identification of commonly found household materials, while very few studies have considered the identification of ignitable liquids. This article reviews studies based on an analysis of fire debris and accelerants by vibrational spectroscopic techniques and considers the limitations and future perspectives of arson investigations in forensic science.

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Bicchieri, Marina, Michela Monti, Giovanna Piantanida, Flavia Pinzari, and Armida Sodo. "Non-destructive spectroscopic characterization of parchment documents." Vibrational Spectroscopy 55, no. 2 (March 2011): 267–72. http://dx.doi.org/10.1016/j.vibspec.2010.12.006.

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Pandiselvam, Ravi, Rathnakumar Kaavya, Sergio I. Martinez Monteagudo, V. Divya, Surangna Jain, Anandu Chandra Khanashyam, Anjineyulu Kothakota, et al. "Contemporary Developments and Emerging Trends in the Application of Spectroscopy Techniques: A Particular Reference to Coconut (Cocos nucifera L.)." Molecules 27, no. 10 (May 19, 2022): 3250. http://dx.doi.org/10.3390/molecules27103250.

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The number of food frauds in coconut-based products is increasing due to higher consumer demands for these products. Rising health consciousness, public awareness and increased concerns about food safety and quality have made authorities and various other certifying agencies focus more on the authentication of coconut products. As the conventional techniques for determining the quality attributes of coconut are destructive and time-consuming, non-destructive testing methods which are accurate, rapid, and easy to perform with no detrimental sampling methods are currently gaining importance. Spectroscopic methods such as nuclear magnetic resonance (NMR), infrared (IR)spectroscopy, mid-infrared (MIR)spectroscopy, near-infrared (NIR) spectroscopy, ultraviolet-visible (UV-VIS) spectroscopy, fluorescence spectroscopy, Fourier-transform infrared spectroscopy (FTIR), and Raman spectroscopy (RS) are gaining in importance for determining the oxidative stability of coconut oil, the adulteration of oils, and the detection of harmful additives, pathogens, and toxins in coconut products and are also employed in deducing the interactions in food constituents, and microbial contaminations. The objective of this review is to provide a comprehensive analysis on the various spectroscopic techniques along with different chemometric approaches for the successful authentication and quality determination of coconut products. The manuscript was prepared by analyzing and compiling the articles that were collected from various databases such as PubMed, Google Scholar, Scopus and ScienceDirect. The spectroscopic techniques in combination with chemometrics were shown to be successful in the authentication of coconut products. RS and NMR spectroscopy techniques proved their utility and accuracy in assessing the changes in coconut oil’s chemical and viscosity profile. FTIR spectroscopy was successfully utilized to analyze the oxidation levels and determine the authenticity of coconut oils. An FT-NIR-based analysis of various coconut samples confirmed the acceptable levels of accuracy in prediction. These non-destructive methods of spectroscopy offer a broad spectrum of applications in food processing industries to detect adulterants. Moreover, the combined chemometrics and spectroscopy detection method is a versatile and accurate measurement for adulterant identification.

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Dold, Jasmin, Caroline Kehr, Clarissa Hollmann, and Horst-Christian Langowski. "Non-Destructive Measuring Systems for the Evaluation of High Oxygen Stored Poultry: Development of Headspace Gas Composition, Sensory and Microbiological Spoilage." Foods 11, no. 4 (February 18, 2022): 592. http://dx.doi.org/10.3390/foods11040592.

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As poultry is known to be a perishable food, the use-by date is set in such a way that food safety is guaranteed even with a higher initial bacterial count. This means, however, that some products are wasted, even if they are still safe to eat. Therefore, non-destructive measurement devices might be a good opportunity for individual shelf-life prediction, e.g., in retail. The aim of this study was therefore to use non-destructive measurement devices based on fluorescence quenching (oxygen detection) and mid-infrared laser spectroscopy (carbon dioxide detection) for the monitoring of high-oxygen-packed poultry in different storage conditions. During 15 days of storage, the gas composition of the headspace was assessed (non-destructively and destructively), while total plate count was monitored and a comprehensive sensory evaluation was performed by a trained panel. We were able to demonstrate that in most cases, non-destructive devices have comparable precision to destructive devices. For both storage conditions, the sensory attribute slime was correlated with reaching the critical microbiological value of 107 CFU/g; the attribute buttery was also useful for the prediction of regularly stored poultry. The change in the gas atmosphere as a sign of premature spoilage, however, was only possible for samples stored in irregular conditions.

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Tang, Ting, Qing Luo, Liu Yang, Changlun Gao, Caijin Ling, and Weibin Wu. "Research Review on Quality Detection of Fresh Tea Leaves Based on Spectral Technology." Foods 13, no. 1 (December 20, 2023): 25. http://dx.doi.org/10.3390/foods13010025.

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As the raw material for tea making, the quality of tea leaves directly affects the quality of finished tea. The quality of fresh tea leaves is mainly assessed by manual judgment or physical and chemical testing of the content of internal components. Physical and chemical methods are more mature, and the test results are more accurate and objective, but traditional chemical methods for measuring the biochemical indexes of tea leaves are time-consuming, labor-costly, complicated, and destructive. With the rapid development of imaging and spectroscopic technology, spectroscopic technology as an emerging technology has been widely used in rapid non-destructive testing of the quality and safety of agricultural products. Due to the existence of spectral information with a low signal-to-noise ratio, high information redundancy, and strong autocorrelation, scholars have conducted a series of studies on spectral data preprocessing. The correlation between spectral data and target data is improved by smoothing noise reduction, correction, extraction of feature bands, and so on, to construct a stable, highly accurate estimation or discrimination model with strong generalization ability. There have been more research papers published on spectroscopic techniques to detect the quality of tea fresh leaves. This study summarizes the principles, analytical methods, and applications of Hyperspectral imaging (HSI) in the nondestructive testing of the quality and safety of fresh tea leaves for the purpose of tracking the latest research advances at home and abroad. At the same time, the principles and applications of other spectroscopic techniques including Near-infrared spectroscopy (NIRS), Mid-infrared spectroscopy (MIRS), Raman spectroscopy (RS), and other spectroscopic techniques for non-destructive testing of quality and safety of fresh tea leaves are also briefly introduced. Finally, in terms of technical obstacles and practical applications, the challenges and development trends of spectral analysis technology in the nondestructive assessment of tea leaf quality are examined.

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Blanco, Marcelo, Manel Alcalá, Josep M. González, and Ester Torras. "Non-Destructive Dissolution Testing by NIR Spectroscopy." NIR news 18, no. 6 (September 2007): 9–11. http://dx.doi.org/10.1255/nirn.1039.

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Williams, L. A., S. E. Faidi, S. B. Lyon, R. A. Cottis, and K. R. Baldwin. "Non-destructive testing using electromagnetic impedance spectroscopy." Corrosion Science 35, no. 1-4 (January 1993): 833–39. http://dx.doi.org/10.1016/0010-938x(93)90222-3.

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Sharma, Sweety, Jaskirandeep K. Jossan, and Rajinder Singh. "ATR FT-IR Spectroscopy: A Novel and Non-Destructive Approach for the Detection of Blood on a Single Fiber." Arab Journal of Forensic Sciences & Forensic Medicine 2, no. 1 (June 30, 2020): 27–41. http://dx.doi.org/10.26735/ayfk5009.

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Mengstu, Mahtem, Alper Taner, and Hüseyin Duran. "Spectroscopy and machine learning in food processing survey." BIO Web of Conferences 85 (2024): 01022. http://dx.doi.org/10.1051/bioconf/20248501022.

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For food safety, quality control from the foodstuff production to the tasting of foods is needed and should be simple and non-destructive. Recent and notable non-destructive measurements of food and agricultural products are based on optical and spectroscopic techniques. Spectroscopy, meets the requirements of industrial applications for continuous quality control and process monitoring. Hence, this article covers a survey of recent research works, highlighting the application of spectroscopy and machine learning in food processing from bibliographic database. The survey was based on relevant articles, obtained from scientific database and evaluated selected research works based on survey inquires, the assessment included food processing problem addressed (varieties classification, origin identification, adulteration and quality control), types of spectroscopy used, machine learning models applied to solve the particular problem and keyword analysis to show the perspective of the research.

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Mitrani Viggiano, Alejandro, José Luis Ruvalcaba Sil, Mayra D. Manrique Ortega, and Victoria Corregidor Berdasco. "Non-Destructive Micro-Chemical and Micro-Luminescence Characterization of Jadeite." Microscopy and Microanalysis 22, no. 6 (December 2016): 1304–15. http://dx.doi.org/10.1017/s1431927616012010.

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AbstractJadeite was greatly appreciated by pre-Hispanic cultures in Mesoamerica. Despite its importance, knowledge of its mining sources was lost after the Spanish conquest. In the 1950s the only confirmed jadeite deposits in Mesoamerica were found in the Motagua River Fault (MRF), Guatemala. The aim of this study is to present a methodology that is appropriate for the study of archeological jadeite objects using non-destructive spectroscopic and micro-ion beam analysis techniques. This methodology has been applied to perform mineral, elemental, and luminescence characterization of five jadeite samples from the MRF, with white, lilac, and green colors. Fourier-transformed infrared spectroscopy and X-ray diffraction analysis confirmed the presence of jadeite, albite, and omphacite as the main mineral phases in the samples. Elemental maps using particle-induced X-ray emission (PIXE) with a nuclear microprobe and elemental concentration analysis from individual mineral grains using micro-PIXE coupled with micro-ionoluminescence (IL) allowed the detection of minor feldspar, titanite, and grossular mineral contents. Distinctive features from the mineral, elemental, and luminescence characterization have been found that allow the identification of these five jadeite samples.

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Murad, Enver. "Instrumental characterization of geological materials and their synthetic analogs." Pure and Applied Chemistry 87, no. 3 (March 1, 2015): 301–6. http://dx.doi.org/10.1515/pac-2014-0714.

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AbstractThe mineralogy of geological samples is generally determined by optical microscopy or X-ray diffraction. 57Fe Mössbauer and Raman spectroscopies are effective alternative non-destructive nuclear and vibrational instrumental techniques that can – in conjunction with the former procedures, and all the more when these fail – serve for mineral characterization. In favorable cases these spectroscopic techniques enable, beyond a mere general characterization, the conclusive identification of selected minerals.

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Zhang, Ying, Dongdong Qi, Jianzhuang Jiang, and Xuan Sun. "A novel photochromic and electrochromic europium tetraazaporphyrinato and phthalocyaninato heteroleptic double-decker for information storage." Journal of Porphyrins and Phthalocyanines 13, no. 12 (December 2009): 1197–205. http://dx.doi.org/10.1142/s1088424609001558.

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A novel tetraazaporphyrinato and phthalocyaninato mixed heteroleptic double-decker sandwich rare-earth compound with photochromic and electrochromic features has been facilely synthesized by one-pot reaction using Eu(acac)3 ·n H2O , metal-free phthalocyanine H2Pc′ ( Pc′ = 2,3,9,10,16,17,23,24-octakis(decyloxy)phthalocyanine), and the photochromic precursor 1,2-dicyano-l,2-bis(2,3,5-trimethyl-3-thienyl)ethane as starting materials. The compound was well characterized by elemental analysis and various spectroscopic methods including UV-vis, IR, 1H NMR, and mass spectroscopies. The electrochemical behavior of this compound was studied by cyclic voltammetry (CV) and differential pulse voltammetry (DPV) methods, which showed up to three one-electron oxidation and four one-electron reduction processes, demonstrating an electro-active compound for high-density information storage. The photochromic performance of the compound was detected by electronic absorption spectra, suggesting the compound to be a good candidate for non-destructive readout by means of UV-vis spectroscopy.

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Kashani Zadeh, Hossein, Mike Hardy, Mitchell Sueker, Yicong Li, Angelis Tzouchas, Nicholas MacKinnon, Gregory Bearman, et al. "Rapid Assessment of Fish Freshness for Multiple Supply-Chain Nodes Using Multi-Mode Spectroscopy and Fusion-Based Artificial Intelligence." Sensors 23, no. 11 (May 28, 2023): 5149. http://dx.doi.org/10.3390/s23115149.

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This study is directed towards developing a fast, non-destructive, and easy-to-use handheld multimode spectroscopic system for fish quality assessment. We apply data fusion of visible near infra-red (VIS-NIR) and short wave infra-red (SWIR) reflectance and fluorescence (FL) spectroscopy data features to classify fish from fresh to spoiled condition. Farmed Atlantic and wild coho and chinook salmon and sablefish fillets were measured. Three hundred measurement points on each of four fillets were taken every two days over 14 days for a total of 8400 measurements for each spectral mode. Multiple machine learning techniques including principal component analysis, self-organized maps, linear and quadratic discriminant analyses, k-nearest neighbors, random forest, support vector machine, and linear regression, as well as ensemble and majority voting methods, were used to explore spectroscopy data measured on fillets and to train classification models to predict freshness. Our results show that multi-mode spectroscopy achieves 95% accuracy, improving the accuracies of the FL, VIS-NIR and SWIR single-mode spectroscopies by 26, 10 and 9%, respectively. We conclude that multi-mode spectroscopy and data fusion analysis has the potential to accurately assess freshness and predict shelf life for fish fillets and recommend this study be expanded to a larger number of species in the future.

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Papaspyridakou, Panagiota, Panagiota Giannoutsou, and Malvina G. Orkoula. "Non-Destructive and Non-Invasive Measurement of Ethanol and Toxic Alcohol Strengths in Beverages and Spirits Using Portable Raman Spectroscopy." Biosensors 13, no. 1 (January 13, 2023): 135. http://dx.doi.org/10.3390/bios13010135.

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The measurement of ethanol and toxic alcohol (methanol and isopropanol) strengths in beverages and spirits is crucial for health reasons but also for the identification of adulterated products. Many methodologies have been reported in the literature, based mainly on chromatographic and on spectroscopic techniques. Chromatographic techniques are laborious and time-consuming, while spectroscopic techniques are rapid and need no special sample pretreatment. All techniques were only applied to off-line or at-line manner. In the present work, Raman spectroscopy was used for fast and non-destructive measurements. A “through the container” method was developed for a non-invasive analysis, i.e., analysis without unsealing the bottles. This method, coupled with a miniature portable Raman, can serve for in-line measurements in a production line. The optimum laser focus for maximum spirit signal and minimum glass-wall signal was investigated. Calibration curves for the alcohols of interest were constructed and validated. The limits of detections were calculated and proved to be lower than the legitimate values. The influences of the liquor color and the bottle color, shape, and thickness were checked. Twenty-eight alcoholic products were studied. The concentrations found were compared against the nominal values (from the bottle labels).

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Tao, Yu Heng, Anthony J. Fitzgerald, and Vincent P. Wallace. "Non-Contact, Non-Destructive Testing in Various Industrial Sectors with Terahertz Technology." Sensors 20, no. 3 (January 28, 2020): 712. http://dx.doi.org/10.3390/s20030712.

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In this article, we survey various non-contact, non-destructive testing methods by way of terahertz (THz) spectroscopy and imaging designed for use in various industrial sectors. A brief overview of the working principles of THz spectroscopy and imaging is provided, followed by a survey of selected applications from three industries—the building and construction industry, the energy and power industry, and the manufacturing industry. Material characterization, thickness measurement, and defect/corrosion assessment are demonstrated through the examples presented. The article concludes with a discussion of novel spectroscopy and imaging devices and techniques that are expected to accelerate industry adoption of THz systems.

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Okere, Emmanuel Ekene, Ebrahiema Arendse, Alemayehu Ambaw Tsige, Willem Jacobus Perold, and Umezuruike Linus Opara. "Pomegranate Quality Evaluation Using Non-Destructive Approaches: A Review." Agriculture 12, no. 12 (November 28, 2022): 2034. http://dx.doi.org/10.3390/agriculture12122034.

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Pomegranate (Punica granatum L.) is one of the most healthful and popular fruits in the world. The increasing demand for pomegranate has resulted in it being processed into different food products and food supplements. Researchers over the years have shown interest in exploring non-destructive techniques as alternative approaches for quality assessment of the harvest at the on-farm point to the retail level. The approaches of non-destructive techniques are more efficient, inexpensive, faster and yield more accurate results. This paper provides a comprehensive review of recent applications of non-destructive technology for the quality evaluation of pomegranate fruit. Future trends and challenges of using non-destructive techniques for quality evaluation are highlighted in this review paper. Some of the highlighted techniques include computer vision, imaging-based approaches, spectroscopy-based approaches, the electronic nose and the hyperspectral imaging technique. Our findings show that most of the applications are focused on the grading of pomegranate fruit using machine vision systems and the electronic nose. Measurements of total soluble solids (TSS), titratable acidity (TA) and pH as well as other phytochemical quality attributes have also been reported. Value-added products of pomegranate fruit such as fresh-cut and dried arils, pomegranate juice and pomegranate seed oil have been non-destructively investigated for their numerous quality attributes. This information is expected to be useful not only for those in the grower/processing industries but also for other agro-food commodities.

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Chen, Zhi Feng, Yuan Quan Hong, Chang Jiang Wan, and Lian Ying Zhao. "Fast Non-Destructive Detection of Wool Content in Blended Fabrics Based on Near-Infrared Spectroscopy Technology." Key Engineering Materials 671 (November 2015): 356–62. http://dx.doi.org/10.4028/www.scientific.net/kem.671.356.

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A fast non-destructive method of detection of wool content in blended fabrics was studied based on Near Infrared spectroscopy technology in order to avoid the time-consuming, tedious work and the destruction of samples in the traditional inspection. 621 wool/nylon, wool/polyester and wool/nylon/polyester blended fabrics were taken as research objects. To get the wool content, we established the wool near-infrared quantitative model by partial least squares (PLS) method after analyzing the color and composition of the samples. For verifying the validity and practicability of the model, 100 samples were chosen as an independent validation set. The variance analysis shows that there is no significant difference between Near Infrared fast detection method and national standard method (GB/T2910-2009),which indicates that this method is expected to be a means of fast non-destructive detection and will have extensive application future in the field of wool content detection.

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Smeys, P., U. Magnusson, and J. P. Colinge. "Non-destructive characterisation of SOI wafers using spectroscopic reflectrometry." Solid-State Electronics 36, no. 8 (August 1993): 1213–16. http://dx.doi.org/10.1016/0038-1101(93)90203-3.

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Tretyakova, L. I., N. B. Reshetnyak, and Yu V. Tretyakova. "A combined spectroscopic method for non-destructive gem identification." Journal of Gemmology 25, no. 8 (1997): 532–39. http://dx.doi.org/10.15506/jog.1997.25.8.532.

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Bicchieri, Marina, Armida Sodo, Giovanna Piantanida, and Carlo Coluzza. "Analysis of degraded papers by non-destructive spectroscopic techniques." Journal of Raman Spectroscopy 37, no. 10 (2006): 1186–92. http://dx.doi.org/10.1002/jrs.1603.

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Schram, T., A. Franquet, H. Terryn, and J. Vereecken. "Spectroscopic Ellipsometry: a Non-destructive Technique for Surface Analysis." Advanced Engineering Materials 1, no. 1 (September 1999): 63–66. http://dx.doi.org/10.1002/(sici)1527-2648(199909)1:1<63::aid-adem63>3.0.co;2-1.

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Franceschelli, Leonardo, Annachiara Berardinelli, Sihem Dabbou, Luigi Ragni, and Marco Tartagni. "Sensing Technology for Fish Freshness and Safety: A Review." Sensors 21, no. 4 (February 16, 2021): 1373. http://dx.doi.org/10.3390/s21041373.

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Standard analytical methods for fish freshness assessment are based on the measurement of chemical and physical attributes related to fish appearance, color, meat elasticity or texture, odor, and taste. These methods have plenty of disadvantages, such as being destructive, expensive, and time consuming. All these techniques require highly skilled operators. In the last decade, rapid advances in the development of novel techniques for evaluating food quality attributes have led to the development of non-invasive and non-destructive instrumental techniques, such as biosensors, e-sensors, and spectroscopic methods. The available scientific reports demonstrate that all these new techniques provide a great deal of information with only one test, making them suitable for on-line and/or at-line process control. Moreover, these techniques often require little or no sample preparation and allow sample destruction to be avoided.

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Marečková, Martina, Veronika Danková, Lubor Zelený, and Pavol Suran. "Non-destructive near infrared spectroscopy externally validated using large number sets for creation of robust calibration models enabling prediction of apple firmness." Journal of Near Infrared Spectroscopy 30, no. 2 (February 28, 2022): 97–104. http://dx.doi.org/10.1177/09670335211054299.

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Non-invasive flesh firmness prediction using near infrared spectroscopy has been perfected and validated on three apple varieties. Three novel calibration models were developed following three year's of repeated large-scale sampling of stored commercial apple varieties ‘Gala’, ‘Red Jonaprince’ and ‘Jonagored’. The spectroscopic results were compared directly with those obtained using the invasive method. Increased accuracy of calibration models was achieved with the newly established data collection model. The results exhibited coefficient of determination for calibration, R2, and ratio of prediction to deviation (RPD) in excess of 0.91 and 2.3, respectively, thus enabling excellent prediction of flesh firmness via a non-invasive and fast spectroscopic approach. The highest R2 obtained was 0.94, RPD 2.6, root mean square error of calibration 5.87 N, and root mean square error of cross-validation (internal) 6.75 N for variety ‘Red Jonaprince’. Our complex long-term study provided excellent external validated calibration models and the approach can help developing calibration models for commercial sorting lines using near infrared spectroscopy.

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Luo, Guofang, Qin Xu, Ping Song, Hongtao Chen, Dong Wang, and Xi Chen. "Defect detection of composite materials for cable insulation layer based on terahertz." Journal of Physics: Conference Series 2662, no. 1 (December 1, 2023): 012023. http://dx.doi.org/10.1088/1742-6596/2662/1/012023.

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Abstract Hidden defects can seriously affect the insulation performance of cables and pose safety hazards. In this article, a novel Non-Destructive evaluation technique for insulation materials based on terahertz time-domain spectroscopy technology is proposed. Firstly, terahertz time-domain spectroscopy technology was used to perform reflective scanning on insulation materials. Various imaging algorithms were used to image terahertz defects. The results showed that the maximum imaging and peak to peak time imaging were effective. At the same time, bilateral filtering was used to process terahertz defect images. The results showed that bilateral filtering not only filtered out noise in terahertz images, but also retained edge details. Terahertz time-domain spectroscopy technology offers a fresh approach for detecting cable insulation material defects non-destructively, and finds application in various electrical environment inspections.

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Cappelli, Alessio, Sirio Cividino, Veronica Redaelli, Gianluca Tripodi, Gilda Aiello, Salvatore Velotto, and Mauro Zaninelli. "Applying Spectroscopies, Imaging Analyses, and Other Non-Destructive Techniques to Olives and Extra Virgin Olive Oil: A Systematic Review of Current Knowledge and Future Applications." Agriculture 14, no. 7 (July 16, 2024): 1160. http://dx.doi.org/10.3390/agriculture14071160.

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Given its huge economic, nutritional, and social value, extra virgin olive oil (EVOO) is an essential food. This flagship product of the countries bordering the Mediterranean basin is one of the most frauded products worldwide. Although traditional chemical analyses have demonstrated to be reliable tools for olive drupes and EVOO quality assessment, they present several drawbacks; the urgent need for fast and non-destructive techniques thus motivated this review. Given the lack of comprehensive reviews in the literature, our first aim was to summarize the current knowledge regarding applying spectroscopies, imaging analyses, and other non-destructive techniques to olives and EVOO. The second aim was to highlight the most innovative and futuristic applications and outline the future research prospects within this strategic production chain. With respect to olive drupes, the most interesting results were obtained using RGB imaging and NIR spectroscopy, particularly using portable NIR devices and specific digital cameras for in-field or in-mill monitoring. Nevertheless, it is important to highlight that RGB imaging and NIR spectroscopy need to be integrated with flesh hardness measurements, given the higher reliability of this parameter compared to olive skin color. Finally, with respect to EVOO, although several useful applications of visible imagining, UV–Visible, NIR, and Mid-Infrared spectroscopies have been found, the online monitoring of EVOO quality using NIR spectroscopy strikes us as being the most interesting technique for improving the EVOO production chain in the near future.

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Petersen, Marlen, Zhilong Yu, and Xiaonan Lu. "Application of Raman Spectroscopic Methods in Food Safety: A Review." Biosensors 11, no. 6 (June 8, 2021): 187. http://dx.doi.org/10.3390/bios11060187.

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Food detection technologies play a vital role in ensuring food safety in the supply chains. Conventional food detection methods for biological, chemical, and physical contaminants are labor-intensive, expensive, time-consuming, and often alter the food samples. These limitations drive the need of the food industry for developing more practical food detection tools that can detect contaminants of all three classes. Raman spectroscopy can offer widespread food safety assessment in a non-destructive, ease-to-operate, sensitive, and rapid manner. Recent advances of Raman spectroscopic methods further improve the detection capabilities of food contaminants, which largely boosts its applications in food safety. In this review, we introduce the basic principles of Raman spectroscopy, surface-enhanced Raman spectroscopy (SERS), and micro-Raman spectroscopy and imaging; summarize the recent progress to detect biological, chemical, and physical hazards in foods; and discuss the limitations and future perspectives of Raman spectroscopic methods for food safety surveillance. This review is aimed to emphasize potential opportunities for applying Raman spectroscopic methods as a promising technique for food safety detection.

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Sinhal, Mudit, Ziv Meir, and Stefan Willitsch. "Non-destructive State Detection and Spectroscopy of Single Molecules." CHIMIA International Journal for Chemistry 75, no. 4 (April 28, 2021): 291–95. http://dx.doi.org/10.2533/chimia.2021.291.

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We review our recent experimental results on the non-destructive quantum-state detection and spectroscopy of single trapped molecules. At the heart of our scheme, a single atomic ion is used to probe the state of a single molecular ion without destroying the molecule or even perturbing its quantum state. This method opens up perspectives for new research directions in precision spectroscopy, for the development of new frequency standards, for tests of fundamental physical concepts and for the precise study of chemical reactions and molecular collisions with full control over the molecular quantum state.

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Cho, R. K., G. Lin, and Y. K. Kwon. "Nondestructive Analysis for Nitrogens of Soils by near Infrared Reflectance Spectroscopy." Journal of Near Infrared Spectroscopy 6, A (January 1998): A87—A91. http://dx.doi.org/10.1255/jnirs.172.

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Traditional wet analytical method such as the gravimetric, Kjeldahl or Walkley-Black method are still the most widely used for determining the organic matter (OM), moisture and notal nitrogen (T–N) content of soils. However, these are time-consuming, high in cost and labour intensive as well producing harmfull pollutants making the method undesirable for field measurement. Over three years we have been working on the development of a non-destructive on-site analyser for measuring OM, moisture and T–N. In this research we investigated the possibility of using near infrared (NIR) spectroscopy for the non-destructive analysis of T–N, inorganic and available nitrogen in domestic soil samples.85 soil samples of upland over the Kyungpook prefecture were colledted to make a calibration and validation. Dried soil samples were packed in the closed-cup and the NIR spectra data was measured from 1100–2500 nm using a scanning type NIR instrum, InfraAlyzer 500 and filter type NIR instrument, InfraAlyzer 400, which has a modified sample compartment. Multiple linear regression analysis between the content of soil properties determined by the traditional method and the NIR spectral data were conducted to develop an non-destructive analysing equation for T–N, inorganic and available nitrogen. In the case of the scanning type, the standard error or prediction were 0.028%. 1.7 mg−1 and 1.1 mg−1 for T–N, inorganic and available nitrogen respectively. The prediction results in the filter type appeared to have the same accuracy as the scanning type. It is concluded that NIR spectroscopy could be used to predict soil nitrogen compounds such as total nitrogen, inorganic and available nitrogen non-destructively.

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Cardinali, Martina Alunni, Irene Bargagli, Valeria Di Tullio, Brenda Doherty, Marco Paolantoni, Daniele Fioretto, Noemi Proietti, et al. "Multimodal spectroscopic assessment of mechanical and chemical properties of ABS objects in cultural heritage preservation." EPJ Web of Conferences 309 (2024): 14006. http://dx.doi.org/10.1051/epjconf/202430914006.

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The 1960s saw the emergence of plastic as an indispensable component in various fields, including art and design. Acrylonitrile-butadiene-styrene (ABS) is widely used by artists and designers for a range of applications including sculptures and decorative pieces. Consequently, the necessity to conserve ABS from deterioration is a crucial issue in the field of cultural heritage preservation. Many studies have highlighted the criticality of the stability of the polybutadiene component when exposed to light. We propose a new multimodal spectroscopic approach to assess the conservation status of plastic design objects. This non-destructive approach combines correlative Brillouin and Raman micro-spectroscopy (BRaMS), external reflection IR spectroscopy and portable NMR relaxometry. BRaMS is a novel non-destructive technique in the field of heritage conservation, allowing simultaneous monitoring of chemical and mechanical changes occurring at the sample surface. The present study focused on photochemically aged LEGO® bricks made of ABS and aimed to i) correlate chemical and mechanical changes induced by light exposure and ii) introduce a surface degradation index (SDI), measurable in situ by external reflection IR spectroscopy, to assess the state of conservation of plastic artefacts. Finally, non-invasive investigations were carried out on real design objects using the MObile LABoratory (MOLAB) platform.

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Zeng, Wandan, Qi Wang, Chengwei Wu, Mangmang Hang, Zhongmin Huang, Jielun Huang, and Zhiping Xia. "Recognition of Foodborne Pathogens Terahertz Spectrum Based on Convolutional Neural Network." Journal of Physics: Conference Series 2226, no. 1 (March 1, 2022): 012012. http://dx.doi.org/10.1088/1742-6596/2226/1/012012.

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Abstract Foodborne pathogenic bacteria detection is an important work, the traditional laboratory identification method, will cause irreversible damage to the sample, and the detection cycle is long. Compared with traditional biological detection methods, the greatest advantage of terahertz spectroscopy detection is that it can do non-destructive detection of samples, and terahertz spectroscopy technology, combined with computer systems, can reduce analysis time, improve recognition accuracy, and maximize the extraction and mining of effective information in the spectrum. This paper establishes an intelligent foodborne pathogenic bacteria terahertz spectroscopic recognition model, The results showed that the recognition accuracy of pathogens was 99.76%.

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Platova, R. A., Yu T. Platov, V. A. Rassulov, and T. Stoikova. "Identification of Porcelain Products by Non-Destructive Optical Spectroscopy." Glass and Ceramics 77, no. 11-12 (March 2021): 448–51. http://dx.doi.org/10.1007/s10717-021-00330-y.

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Mastroianni, I., Marc Poorteman, G. Moortgat, and F. Cambier. "Impedance Spectroscopy for Non Destructive Characterisation of Ceramic Compacts." Key Engineering Materials 264-268 (May 2004): 113–16. http://dx.doi.org/10.4028/www.scientific.net/kem.264-268.113.

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Siv Sachin, S. D., Vivek Vijayan, and Rajeev N. Kini. "Non-destructive evaluation of coatings using terahertz reflection spectroscopy." Journal of Optics 24, no. 4 (March 11, 2022): 044014. http://dx.doi.org/10.1088/2040-8986/ac54ea.

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Abstract Terahertz time-domain spectroscopy (THz-TDS) provides a non-contact, non-destructive method for evaluating different materials and their properties. This short review discusses the commonly used numerical models for the non-destructive estimation of thickness, refractive index, surface and interface roughness of paints, thermal barrier coatings, and polymer coatings using THz-TDS in the reflection geometry. To demonstrate the applicability of these models, we used paint layers on metallic substrates and extracted different paraments by fitting the experimental THz-TDS data. We conclude by discussing further steps to improve the efficiency of the fitting procedure used to extract the layer parameters.

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OURAK, M., B. NONGAILLARD, J. M. ROUVAEN, and N. IMOULOUDENE. "NON DESTRUCTIVE EVALUATION OF COMPOSITE MATERIALS USING ULTRASONIC SPECTROSCOPY." Le Journal de Physique Colloques 51, no. C2 (February 1990): C2–1261—C2–1264. http://dx.doi.org/10.1051/jphyscol:19902296.

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Bodnar, O. B., I. M. Aristova, A. A. Mazilkin, A. N. Chaika, and L. N. Pronina. "Non-Destructive Method of Diffusion Parameters Determination in Solids." Defect and Diffusion Forum 237-240 (April 2005): 438–43. http://dx.doi.org/10.4028/www.scientific.net/ddf.237-240.438.

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Diffusion of nitrogen implanted in tungsten and molybdenum single crystals has been investigated at temperature about 0.3 Tm (Tm is the melting point). Existence of several dopant atom fluxes is found in subsurface region of the ion implanted material. The diffusion coefficients of the nitrogen connected with the radiation damages and that with the bulk diffusion mechanism are determined. Change of the nitrogen surface concentration has been measured by Auger electron spectroscopy. Initial distribution of the nitrogen and diffusion profiles for various annealing time have been determined by secondary-ion mass-spectroscopy technique. Transmission electron microscopy and X-ray diffraction investigations were used to study the microstructure and phase state of the implanted samples.

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Nikopoulou, Maria, Stefanos Karampelas, Eloïse Gaillou, Ugo Hennebois, Farida Maouche, Annabelle Herreweghe, Lambrini Papadopoulou, et al. "Non-Destructive Study of Egyptian Emeralds Preserved in the Collection of the Museum of the Ecole des Mines." Minerals 13, no. 2 (January 21, 2023): 158. http://dx.doi.org/10.3390/min13020158.

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In the present study, rough emerald single crystals and rough emeralds in the host rock from the ruins of Alexandria and from the Mount Zabargad in Egypt, preserved in the collection of the museum of the Ecole des Mines (Mines Paris—PSL) since the late 19th or early 20th century, are investigated. All samples were characterized by non-destructive spectroscopic and chemical methods during a week-long loan to the LFG. Raman, FTIR and UV-Vis-NIR spectroscopy revealed that Egyptian emeralds contain H2O molecules accompanied by relatively high concentrations of alkali ions and are colored by chromium and iron. Additionally, EDXRF showed that the emeralds from Egypt contain up to 84 ppm Rb and low amounts (below 200 ppm) of Cs. Inclusions and parts of the host rock were also observed under optical microscope and analyzed with Raman spectroscopy. Tube-like structures, quartz, calcite, dolomite, albite and phlogopite are associated minerals, and inclusions are identified in these historic emeralds from Egypt. This work will hopefully further contribute to the characterization of emeralds of archaeological significance.

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Scotter, Christopher N. G. "Non-destructive spectroscopic techniques for the measurement of food quality." Trends in Food Science & Technology 8, no. 9 (September 1997): 285–92. http://dx.doi.org/10.1016/s0924-2244(97)01053-4.

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Kaspar, Tiffany C., Joelle T. Reiser, Joseph V. Ryan, and Nathalie A. Wall. "Non-destructive characterization of corroded glass surfaces by spectroscopic ellipsometry." Journal of Non-Crystalline Solids 481 (February 2018): 260–66. http://dx.doi.org/10.1016/j.jnoncrysol.2017.10.054.

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Eichfeld, Sarah M., Chad M. Eichfeld, Yu-Chuan Lin, Lorraine Hossain, and Joshua A. Robinson. "Rapid, non-destructive evaluation of ultrathin WSe2 using spectroscopic ellipsometry." APL Materials 2, no. 9 (September 2014): 092508. http://dx.doi.org/10.1063/1.4893961.

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Fatima, Fatima Fatima. "Forensic Examination and Identification of Writing Inks on Documents." International Journal for Electronic Crime Investigation 4, no. 3 (September 1, 2020): 24. http://dx.doi.org/10.54692/ijeci.2020.040362.

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Ink analysis plays a significant role in questioned document examination, a discipline of forensicscience. Writing inks based on their chemical substances such as solvents, resins, colorants as dyesor pigments, may be distinguished by applying two step methodology including non-destructive orvisual examination and destructive or chemical analysis. Both approaches involve identification andcomparison techniques by contributing certain advantages to the investigation such as Thin LayerChromatography has been marked for a long time. However, forensic scientists have the availabilityof evolutionary methods that led to the use of less destructive techniques including spectroscopy thatminimizes the scope of previous separation techniques. This review paper delivers an outline oftechniques/methods including spectroscopic and chromatographic development with possibleadvantages or drawbacks. The acquired results should be evaluated accurately by paying moreconsideration as providing reliable findings in the court of law is certainly of central significance.

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De Pedro-Sanz, E., A. Serrano, E. Zamora-Rojas, A. Garrido-Varo, J. E. Guerrero-Ginel, D. Pérez-Marín, J. M. García-Casco, and N. Núñez-Sánchez. "Predicting Acorn-Grass Weight Gain Index using non-destructive Near Infrared Spectroscopy in order to classify Iberian pig carcasses according to feeding regime." Grasas y Aceites 64, no. 2 (April 11, 2013): 210–18. http://dx.doi.org/10.3989/gya.131012.

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Faria, Dalva L. A., Marta S. Maier, Sara D. Parera, Marisa C. Afonso, Silvia C. Lima, and Howell G. M. Edwards. "Non‐invasive and non‐destructive Raman spectroscopic characterization of some Brazilian ethnographic resins." Journal of Raman Spectroscopy 52, no. 12 (October 24, 2021): 2262–71. http://dx.doi.org/10.1002/jrs.6270.

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Sharabiani, Vali Rasooli, Sajad Sabzi, Razieh Pourdarbani, Edgardo Solis-Carmona, Mario Hernández-Hernández, and José Luis Hernández-Hernández. "Non-Destructive Prediction of Titratable Acidity and Taste Index Properties of Gala Apple Using Combination of Different Hybrids ANN and PLSR-Model Based Spectral Data." Plants 9, no. 12 (December 6, 2020): 1718. http://dx.doi.org/10.3390/plants9121718.

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Non-destructive estimation of the internal properties of fruits and vegetables is very important, because better management can be provided for subsequent operations. Researchers and scientists around the world are focusing on non-destructive methods because if they are developed and commercialized, there will be an impressive change in the food industry. In this regard, this paper aims to present a non-destructive method based on Vis-NIR spectral data. The different stages of the proposed algorithm are: (1) Collection of samples of Gala apples, (2) Spectral data extraction by spectroscopy, (3) Pre-processing of spectral data, (4) Measurement of chemical properties of titratable acidity (TA) and taste index, (5) Selection of key wavelengths using hybrid artificial neural network-firefly algorithm (ANN-FA), (6) Non-destructive estimation of the properties using two methods of hybrid ANN- Particle swarm optimization algorithm and partial least squares regression. For considering the reliability of methods for estimating the chemical properties, the prediction operation was executed in 300 iterations. The results represented that the mean and standard deviation of the correlation coefficient and the root mean square error of hybrid ANN-PSO and PLSR for TA were 0.9095 ± 0.0175, 0.0598 ± 0.0064, 0.834 ± 0.0313 and 0.0761 ± 0.0061 respectively. These values for taste index were 0.918 ± 0.02, 3.2 ± 0.39, 0.836 ± 0.033 and 4.09 ± 0.403, respectively. Therefore, it can be concluded that the hybrid ANN-PSO has a better performance for non-destructive prediction of the two mentioned chemical properties than the PLSR method. In general, the proposed method can predict the chemical properties of TA and taste index non-destructively, which is very useful for mechanized harvesting and management of post-harvest operation.

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Thomas, Daniel B., Kevin J. McGraw, Helen F. James, and Odile Madden. "Non-destructive descriptions of carotenoids in feathers using Raman spectroscopy." Anal. Methods 6, no. 5 (2014): 1301–8. http://dx.doi.org/10.1039/c3ay41870g.

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Journal articles on the topic 'Spectroscopie non destructive'

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