NIR News最新文献

{"title":"The best of two worlds","authors":"F. Westad, L. Gidskehaug, Chuck Miller","doi":"10.1177/0960336020944008","DOIUrl":"https://doi.org/10.1177/0960336020944008","url":null,"abstract":"With the latest release of Unscrambler, Camo Analytics introduced support for Python scripting, giving users the best of two worlds. This Python extension allows users to tap into the vast ecosystem of Data Science tools that are continually being produced in the Python community, while still leveraging the familiar data handling, validation and visualization features of Unscrambler – all contained within a fully compliant framework. This paper discusses the value propositions that the Python extension can provide to Unscrambler users, and follows this up with some specific examples of common workflows that are enabled by this extension: Data Importing, Spectral Preprocessing and Innovative Modeling methods.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121681374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of geographical origin of TPFD based on handheld NIR spectroscopy and PLSDA","authors":"Rita-Cindy Aye-Ayire Sedjoah, B. Han, Hui Yan","doi":"10.1177/0960336020944007","DOIUrl":"https://doi.org/10.1177/0960336020944007","url":null,"abstract":"The present study is focused on the identification of geographical origin (Zhejiang, Yunnan and Anhui, China) of Dendrobium officinale’s dried stem called Tiepi fengdou by mean of the handheld near-infrared spectrometer. Raw data were preprocessed to reduce unwanted spectral variations by the first-order derivative followed by standard normal variate transformation, and partial least squares discriminant analysis model was developed for calibration. The results showed that more than 90% of the origins were identified. Therefore, it is possible to classify the geographical origin of Tiepi fengdou by the use of the handheld near-infrared spectrometer for effective quality control.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115454987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analytical Chemistry and Chemometrics Group, Department of Pharmacy, University of Genova: An update","authors":"C. Malegori, E. Mustorgi","doi":"10.1177/0960336020944814","DOIUrl":"https://doi.org/10.1177/0960336020944814","url":null,"abstract":"This paper has the purpose of updating the NIR scientific community about the activities that the Group of Analytical Chemistry and Chemometrics of the University of Genova (Italy) is carrying out in recent years. In more detail, the research lines are presented together with the laboratory equipment available. Moreover, an in-depth focus of the teaching activities is given, taking the occasion for presenting the last news regarding software development. The role of the Group in the organisation of schools and conferences in the context of the Italian Society of NIR Spectroscopy (SISNIR) is also detailed.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134589372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the role of water in the aggregation of proteins and polymers in aqueous solution using near-infrared spectroscopy","authors":"Yan Sun, Li Ma, Li Wang, Xuewei Zhu, W. Cai, X. Shao","doi":"10.1177/0960336020944766","DOIUrl":"https://doi.org/10.1177/0960336020944766","url":null,"abstract":"Water plays an important role in chemical and biological processes. For understanding the role of water in the aggregation of proteins and polymers, the variation of water structures in the process of aggregation was studied by near-infrared spectroscopy. The near-infrared spectra of the aqueous R2/wt and poly(N,N-dimethylaminoethyl methacrylate) solutions of different concentrations were measured at different temperatures. The spectral changes of the solutes and water with temperature were analyzed with the help of chemometric methods. In the aggregation of R2/wt, the water species with one hydrogen bond around the NH groups dissociate to initiate the change of the hydrogen bonding network of the hydration water, and then, the water molecules with two hydrogen bonds (S2) near the hydrophobic side chains release from the R2/wt, resulting in the formation of the ordered amyloid fibers. In the aggregation process of low concentration poly(N,N-dimethylaminoethyl methacrylate) solutions, the chains of the polymer tend to form a loose hydrophobic structure below 36°C and then aggregate into a micelle at a lower critical solution temperature of around 39°C. S2 acts as a bridge to connect the polymer chains in the loose hydrophobic structure, and the dissociation of the S2 bridge at high temperature is the reason for the formation of the micelle. For high concentration solution, however, the spectral information of S2 was not found in the aggregation, suggesting a direct formation of the micelle from the dehydrated chains.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128452285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond spectral range – Welcome to join NIRITALIA 2020","authors":"A. Sandak, M. Casale","doi":"10.1177/0960336020944006","DOIUrl":"https://doi.org/10.1177/0960336020944006","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129389192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Near-infrared hyperspectral image at a glance: Some personal thoughts","authors":"J. Amigo","doi":"10.1177/0960336020943987","DOIUrl":"https://doi.org/10.1177/0960336020943987","url":null,"abstract":"First of all, I want to transmit my most humble thanks to all people who believe that I deserve the “2019 Thomas Hirschfeld” award (kindly supported by FOSS) for my work on near-infrared spectroscopy and, especially, applied on hyperspectral images. I must confess that this award caught me by surprise and that I felt a bit overwhelmed when I received it. It is an honour full of respect and responsibility. I have been given the opportunity of writing this article, and I will profit it to express different personal thoughts about general but relevant aspects of near infrared applied to hyperspectral imaging. Also, since I am more a practitioner in chemometrics (or machine learning or data mining, or …) than a developer, I will also include some insights about the beautiful combination of near-infrared hyperspectral image with chemometrics. This article is just a glimpse of constructive criticism with personal thoughts that comes from my little experience in this field. Therefore, and of course, all opinions here are open for constructive discussion with the only purpose of learning (like the machines do nowadays).","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125551023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Report on The 7th Asian NIR Symposium (ANS2020)","authors":"S. Kasemsumran, Pitiporn Rittiruangdej, B. Tanwanichkul","doi":"10.1177/0960336020944001","DOIUrl":"https://doi.org/10.1177/0960336020944001","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122487664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The European Network for assuring food integrity using non-destructive spectral sensors (SensorFINT) has been approved by COST","authors":"Lola Pérez-Marín","doi":"10.1177/0960336020944003","DOIUrl":"https://doi.org/10.1177/0960336020944003","url":null,"abstract":"Cost Actions are competitive projects funded by the European Cooperation in Science and Technology (COST) organisation with the main objective of promoting the creation of research networks in innovative areas, facilitating the collaboration between the academia and the industry in Europe and beyond. In this European framework, in March 2020, it has been approved the Cost Action entitled “European Network for assuring food integrity using nondestructive spectral sensors” (SensorFINT). The main general aim of the Action is to create within the EU a vibrant and multidisciplinary network, combining experience in research, manufacture, training and technology transfer in relation to non-destructive spectral sensors, which can accelerate its implementation within the food industry. Furthermore, it will generate and disseminate knowledge about these emerging and innovative technologies and their application for the real-time in situ control of critical quality, safety, authenticity, and performance attributes for raw and in-process materials, i.e. in the entire food chain, allowing to increase the transfer of knowledge from academia to the industry and, therefore, to improve European food industry competitiveness. Currently, the increasing complexity of food supply chains has provided more opportunities for food fraud, resulting in many food crises over the years (BSE, melamine, horse meat, fipronil in eggs, etc.), which reduces the confidence of the consumers in the industry, inspectors, and policy makers. These scandals have placed increased focus on developing measures to ensure the integrity of the food in the whole chain, and thereby reduce the incidences of food fraud. The analytical needs for the agri-food industry are linked not only to compliance with regulations but also to the need to control their processes through an “intelligent quality control,” along with knowing the variability of raw materials and the final product for increasing its competitiveness. Inaccurate or uninformative quality and safety assessment methodologies are detrimental to producers, processors and ultimately to consumers of food products. In addition, new strategies related to the adoption of “non-targeted” methods—able to analyse the product and produce a food fingerprint that can provide information on quality and authenticity— are demanded. Therefore, to verify integrity in marketed products, it is necessary to update the current analytical and sampling control systems, through the development of modern and cost-effective analytical methods. This situation has forced the food businesses to rethink their risk mitigation processes, especially as food fraud is opportunistic and can be difficult to detect through classical analytical methods that look for specific components in the food. Traditional methods of analysis are too slow and expensive to facilitate adequate production, but the nature of non-destructive spectral sensors, combined with specific data processin","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123320824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Australian Honour for Peter Flinn (AM)","authors":"R. Meder, G. Batten","doi":"10.1177/0960336020910079","DOIUrl":"https://doi.org/10.1177/0960336020910079","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115890809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NIR2019: The Wave Downunder","authors":"R. Meder, Glen P. Fox","doi":"10.1177/0960336020910078","DOIUrl":"https://doi.org/10.1177/0960336020910078","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121797903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}