NIR News最新文献

{"title":"Development of novel technological approaches for a reliable crop characterization under changing environmental conditions","authors":"Omar Vergara-Díaz, S. Kefauver, J. Araus, Í. Aranjuelo","doi":"10.1177/0960336020978741","DOIUrl":"https://doi.org/10.1177/0960336020978741","url":null,"abstract":"The expansion of world population requires the development of new strategies and tools for agriculture. Extensive breeding and agronomic efforts over the past 50 years have been responsible for tripling cereal yields, while advances in grain quality have been less evident. Continuing advances in the techniques available to breeders offer the potential to increase the rate of genetic improvement aiming to develop resilient crop and better (more resource use efficient) varieties. Plant breeders want to be able to phenotype large numbers of lines rapidly and accurately identify the best progeny. For this purpose, different methodological approaches have been proposed to evaluate these traits in the field: (1) proximal (remote) sensing and imaging, (2) laboratory analyses of samples, and (3) lab-based near-infrared reflectance spectroscopy analysis in the harvestable part of the crop. However, near-infrared reflectance spectroscopy-based field evaluation of yield and grain quality is currently a real option. Thus the development of new technological approaches, such as the use of hyperspectral imaging sensors or near-infrared reflectance spectroscopy under field conditions may be critical as a phenotypic approach for efficient breeding as well as in field management of crops. This article reports the description of the CropYQualT-CEC project funded by the H2020-MSCA-RISE program. This project pursues the main objective of generating a common solid knowledge basis within the context of precision agriculture and digital farming. Further, within the project context, the article also provides a case study in which prediction models for total grain protein content, based on the reflectance spectrum of wheat canopies, are presented. Measurements were performed at around anthesis, using a full range near-infrared reflectance spectroscopy field spectrometer. Several models explaining >60% of grain protein variance in field trials illustrate the predictive capacity and robustness of this methodology for inferring grain quality traits well in advance of harvest.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122927488","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":"Diary","authors":"","doi":"10.1177/0960336020981311","DOIUrl":"https://doi.org/10.1177/0960336020981311","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114142456","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 Chemistry – University of Rome “La Sapienza”","authors":"F. Marini","doi":"10.1177/0960336020980314","DOIUrl":"https://doi.org/10.1177/0960336020980314","url":null,"abstract":"The recent paper describing the people and the activity of the analytical chemistry and chemometrics group of the University of Genova was meant to inaugurate a series of articles presenting to the readers of NIR News the research groups active in Italy in the field of NIR spectroscopy. In this context, I was asked to contribute with a brief overview of the research lines and the main activities of the group I am currently leading. The research activity of the group focuses on one hand on all aspects of chemometric modelling, for the development of new algorithms to the application of novel and/or existing approaches to various real-world problems; on the other hand, from an experimental standpoint, many efforts are put into the design and build-up of innovative analytical approaches, based on different kinds of spectroscopy (with particular emphasis on the infrared range). Together with this “core” activity, collaborations with other national and international research groups help extending the range of research fields the group is involved in to include, e.g., multi-spectral and hyper-spectral imaging, applications to cultural heritage, biomedical research, forensic science, or sensors, just to cite a few. Such established research collaborations involve the Universities of L’Aquila, of Modena and Reggio Emilia, of Torino, of Milano, of Foggia and of Salerno, the Council for Agricultural Research and Economics (CREA), the National Research Council (CNR) and the Ra.C.I.S. (Italian authority for scientific investigation) in Italy and, among others, the University of Stellenbosch (where I am also Extraordinary Professor), the University College Dublin, the University of Lille, the University of Copenhagen, the University of Silesia, the University of Basque Country and INRAE (Montpellier), at an international level. From an instrumental point of view, as far as NIR is concerned, the group relies on a Nicolet 6700 FT-NIR (Thermo Scientific Inc., Madison, WI) operating in the 4000 and 10,000 cm 1 range, which can acquire signals both in transmission and in reflection, the latter through the use of the equipped integrating sphere. Beside NIR spectral range, the Lab also owns a Perkin Elmer IF320 ultraviolet-visible (UV-Vis) spectrophotometer (PerkinElmer, San Jos e, CA), and a PerkinElmer 1600 Series FT-IR spectrometer (PerkinElmer, San Jos e, CA), which can operate both in transmission and in reflection by means of a ZnSe ATR cell. As anticipated above, the main research lines of the group involve the development of spectroscopy-based analytical approaches and chemometrics, in different fields of application. For sure, food quality and its verification has been for many years one of those fields, with the group contributing to the development of rapid and non-destructive approaches for the characterization of different samples. In particular, recent studies have focused on the possibility of authenticating high value-added products, in most cases wi","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121394587","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":"Inline biofilm monitoring based on near-infrared spectroscopy with ultracompact spectrometer technology","authors":"Robert Zimmerleiter, E. Leiss-Holzinger, Eva Wagner, Kathrin Kober-Rychli, M. Wagner, M. Brandstetter","doi":"10.1177/0960336020978716","DOIUrl":"https://doi.org/10.1177/0960336020978716","url":null,"abstract":"In this article, we demonstrate a promising inline near-infrared measurement scheme for 24/7 biofilm monitoring based on cost-effective microelectromechanical system-based spectrometer technology. The shown near-infrared spectral data, acquired at a beer-canning line during a representative time span of 10 days, are analyzed by means of principal component analysis and the performance of the monitoring system and its capability to identify biofilms on its sensor surface are investigated by comparing spectral response with results of offline polymerase chain reaction measurements of smear samples. Correlations between presence of a biofilm and its thickness with scores on PC1 and PC2, respectively, were observed.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126297618","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":"Innovation for food integrity assessment and fraud detection using NIRS as a nontargeted method: Towards intelligent product and process control","authors":"Lola Pérez-Marín","doi":"10.1177/0960336020978715","DOIUrl":"https://doi.org/10.1177/0960336020978715","url":null,"abstract":"This paper introduces the possibilities of using near-infrared spectral sensors as a nontargeted method, and its pivotal importance as a key tool to fight against food fraud, allowing the detection of unexpected alterations or compounds, but with a holistic approach. An example of using this nontargeted approach to determine the optimal duration of postharvest cold storage of oranges is shown. The methodology based on the use of Shewhart control charts that represent the values of spectral distances, and the critical points of this procedure to consider, are presented.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133709347","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":"NIRS in the contemporary world for food and agriculture","authors":"Nanning Cao, B. Cao","doi":"10.1177/0960336020978713","DOIUrl":"https://doi.org/10.1177/0960336020978713","url":null,"abstract":"With the outbreak of Covid-19, this global pandemic has posed significant problems in various industries. Food safety being one of them places challenges in many areas such as, agriculture and food production, food retail, public health, and supply chain. Under the pandemic circumstance, food safety concerns have risen in the market in an unprecedented way. This could stimulate new business that meets the demand of portable near-infrared (NIR) devices and imaging technologies. In the coming years, it is critical to build the vision not only on the platforms of collecting data but also on how to take advantages of the predictive analytics to get ahead. From the NIR instrumentation manufacture stand of point, one thing is to keep improving the quality of spectral/imaging data by enhancing the hardware, and the other is to incorporate user interface into customer’s data automation system, data pipeline, and their cloud computing database. The automation system will maximize operation efficiency, simplify data management and sharing, and generate analytical reporting. It helps customers to reduce human errors, acquire clean data to influence decision making in a timely manner, and increase the chances of creating values and customer loyalty. In addition, with in-line NIR generating so much real-time data during production monitoring process, it provides opportunities for large data processing for making data-driven business strategies. With the economic growth slowing down, and the developments of trade wars, shifting of regulatory, the market of NIR applications will be impacted on both local and global levels. On the other hand, the NIR business could leverage this opportunity, for example, to convert stand-alone instruments to the digital network solution plan for the recovery ahead, where the benefits are clearly shown in this pandemic.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128690771","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":"Selected References","authors":"","doi":"10.1177/0960336020945171","DOIUrl":"https://doi.org/10.1177/0960336020945171","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"497 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127588211","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":"Light at the museum – A near impossible result","authors":"AC Power, S. Ingleby, J. Chapman, D. Cozzolino","doi":"10.1177/0960336020944000","DOIUrl":"https://doi.org/10.1177/0960336020944000","url":null,"abstract":"The monitoring and quantification of the illegal harvest of protected animal products is very vital for the conservation and protection of endangered species. Most of the methods and techniques used in the trade of these products are recognised to be incredibly time consuming and labour intensive requiring significant analyst expertise. In this study, we have demonstrated the potential of near-infrared spectroscopy combined with either principal component analysis or partial least square discriminant analysis regression as a rapid and non-invasive tool to classify horn and ivory samples stored in the Australian Museum, Sydney. This study has also demonstrated the attractiveness of the near-infrared technique as a screening tool that could revolutionise the tracking and identification of contraband materials produced from horn and ivory biomaterials.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350784","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":"Diary","authors":"","doi":"10.1177/0960336020945110","DOIUrl":"https://doi.org/10.1177/0960336020945110","url":null,"abstract":"6–10 September, Singapore, SETAC 8th World congress, https://singapore.setac.org/scope-of-the-meeting/ 30 September–2 October, Amsterdam, The Netherlands, Hyperspectral Sensing meets Machine Learning and Pattern Analysis (HyperMLPA), http://www.spectroexpo.com/hypermlpa/ 6–7 October, Sanur, Bali, The 4th International Seminar on Photonics, Optics, and its Applications (ISOhOA 2020), https://isphoa.org/ 11–16 October, Reno, NV, USA, SCIX 2020, https://facss.org/event-3326054 15–20 December, Honolulu, Hawaii, USA, Pacifichem 2020: A Creative Vision for the Future, https://pacifichem. org","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122411809","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":"Editorial September 2020","authors":"C. Huck","doi":"10.1177/0960336020945189","DOIUrl":"https://doi.org/10.1177/0960336020945189","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128353935","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}