Pub Date : 2023-03-31DOI: 10.1177/09603360231166908
Andrés D. Román-Ospino
My immediate reaction when it was decided to hold the International Diffuse Reflectance Conference (IDRC) online was to work on bringing the key elements that made the conference renowned and appealing to students and professionals. The close contact with great contributors of spectroscopy, chemometrics, and many other fields was replaced by a conference call, a reality that is currently part of our lives. However, after posting the announcement with the draft program, I realized that the IDRC is more than a conference with a community willing to support and make possible an event of the highest quality. In 2012, as a second-year graduate student, during my first IDRC, I realized how accessible and truly curious a scientist could remain even after pioneering applications, inventions, and discoveries. The diffuse reflectance conference was far from the typical technical sessions where the interaction is usually restricted by the 10-min-long question and answers period. Questions about my poster came directly from the scientific community, whom I read about just a few months ago. About 10 years later, as a conference chair, my goal was to ensure that this moment and feeling of absorbing multivariate information from remarkable scientists and humans get transferred to the next generation.
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Pub Date : 2023-03-01DOI: 10.1177/09603360231165217
C. Huck
It is our great pleasure to cordially invite you to participate in the International Conference on Near Infrared Spectroscopy (NIR 2023 Innsbruck), which will be held from Sunday through Thursday, 20–24 August 2023, at the Congress Innsbruck, Austria. The NIR symposium series is known as the world’s leading biannual conference on this fast-growing technology which usually attracts well over 500 participants. The program will span from fundamentals of spectroscopy, over methodological and technological advances to the integration of the wide range of applications. The symposium will feature workshops, tutorials, plenary, keynote and research lectures from leading and upcoming scientists in the field. Lectures and poster presentations will be selected from submitted abstracts to make sure that participants find ample opportunities to share and discuss their latest findings with the audience in a stimulating atmosphere. As an integral part of NIR2023 Innsbruck, a representative exhibition of the leading vendors in the field will be organized to round up the concept of the symposium and to complement the program. The year 2023 will be the first time that the NIR symposium series will come to Austria and Innsbruck, the capital city of the county of Tyrol, in the heart of the Alps. It is world famous for its location; it is a hot spot for science, tradition, culture and sports. After the pandemic, we can’t wait to meet in person once again. We are very much looking forward to welcoming you to Innsbruck, Austria. “Good Vibrations, Smooth Contours!” is our motto symbolizing the location and the emulation of science, stimulating atmosphere and personal contacts. Very much looking forward to welcoming you in Innsbruck, we remain with best regards. Christian W. Huck – chairperson
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Pub Date : 2023-03-01DOI: 10.1177/09603360231164048
C. Malegori, R. Calvini
{"title":"Summer School on Aquaphotomics and 3rd European Aquaphotomics Conference","authors":"C. Malegori, R. Calvini","doi":"10.1177/09603360231164048","DOIUrl":"https://doi.org/10.1177/09603360231164048","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217549","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}
Pub Date : 2023-03-01DOI: 10.1177/09603360231164045
E. Taira, Y. Ozaki
We had the Okinawa NIR-Chemometrics International Symposium at the University of the Ryukyus in Naha from 20 to 22 January 2023. It was held at this beautiful island in a wonderful atmosphere – the temperature was around 20 Cwith a splendid blue sky (Figure 1). It was a relatively small symposium but a very exciting one. We invited two special guests, Prof. Federico Marini (Sapienza, University of Rome) and Prof. Jose M. Amigo (University of the Basque Country) (Figures 2 and 3). On the first day, we had a basic seminar for beginners and students. Prof. Yukihiro Ozaki (Kwansei Gakuin University) introduced the principles of NIR spectroscopy with some basic applications to practical ones. Following him, Dr. Akifumi Ikehata (National Agriculture and Food Research Organization (NARO)) talked about the introduction to chemometrics including his recent studies on metabolomics. Dr. Mizuki Tuta (NARO) gave a talk on data analysis, and Ms. Miho Sesumi (NARO) explained how to use Python. This was a very important tutorial session, which was attended by many students, including online participants. There were several questions regarding metabolomics, data analysis, Python, and so on. In the evening of the first day, we enjoyed a welcome party at a restaurant with a Ryukyu (Okinawa) style: Ryukyu foods, music, and dance (Figure 4). The second day was the big day. Fede and Jose did fantastic jobs! First, Jose talked about the multi-way analysis in food science. In this talk, he explained the basic principles of multi-way analysis and then the recent progress of this method, mainly based on his studies. Many examples of multi-way analysis were introduced. His second talk was concerned with hyperspectral imaging and its data analysis. The principles of hyperspectral imaging, its data analysis, and several applications in food sciences were explained. Fede talked about the essentials of chemometrics. He spent a lot of time explaining about the design of experiments and data fusions. He explained the fundamental concept of DoE and then introduced multi-way ANOVA and ASCA as methods for analyzing and enhancing multi-way data. He also discussed the use of multiblock analysis techniques for data from multiple sensors. Jose and Fede talked for almost four hours. It is an important opportunity for audiences to learn chemometrics, multi-way analysis, hyperspectral imaging, and PARAFAC. Several other participants, particularly Dr. Arthit Phuphaphud and Associated Prof. Khwantri Saengprachatananarg (Khon Kaen University, Thailand, sugarcane research), Dr. Verena Wiedemair (NARO, sampling methods), Mr. Kittipon Aparatana (Ryukyu University, sugarcane evaluation), Dr. Xinyue Li (NARO, metabolomics), gave nice presentations. In the lunch time and dinner, we had a barbeque party on the farm, having Okinawa’s excellent beef and pork. During the party, we discussed a lot and at the same time deepened our friendship. The last day marked the Japanese culture day; some participa
{"title":"Okinawa NIR-Chemometrics International Symposium","authors":"E. Taira, Y. Ozaki","doi":"10.1177/09603360231164045","DOIUrl":"https://doi.org/10.1177/09603360231164045","url":null,"abstract":"We had the Okinawa NIR-Chemometrics International Symposium at the University of the Ryukyus in Naha from 20 to 22 January 2023. It was held at this beautiful island in a wonderful atmosphere – the temperature was around 20 Cwith a splendid blue sky (Figure 1). It was a relatively small symposium but a very exciting one. We invited two special guests, Prof. Federico Marini (Sapienza, University of Rome) and Prof. Jose M. Amigo (University of the Basque Country) (Figures 2 and 3). On the first day, we had a basic seminar for beginners and students. Prof. Yukihiro Ozaki (Kwansei Gakuin University) introduced the principles of NIR spectroscopy with some basic applications to practical ones. Following him, Dr. Akifumi Ikehata (National Agriculture and Food Research Organization (NARO)) talked about the introduction to chemometrics including his recent studies on metabolomics. Dr. Mizuki Tuta (NARO) gave a talk on data analysis, and Ms. Miho Sesumi (NARO) explained how to use Python. This was a very important tutorial session, which was attended by many students, including online participants. There were several questions regarding metabolomics, data analysis, Python, and so on. In the evening of the first day, we enjoyed a welcome party at a restaurant with a Ryukyu (Okinawa) style: Ryukyu foods, music, and dance (Figure 4). The second day was the big day. Fede and Jose did fantastic jobs! First, Jose talked about the multi-way analysis in food science. In this talk, he explained the basic principles of multi-way analysis and then the recent progress of this method, mainly based on his studies. Many examples of multi-way analysis were introduced. His second talk was concerned with hyperspectral imaging and its data analysis. The principles of hyperspectral imaging, its data analysis, and several applications in food sciences were explained. Fede talked about the essentials of chemometrics. He spent a lot of time explaining about the design of experiments and data fusions. He explained the fundamental concept of DoE and then introduced multi-way ANOVA and ASCA as methods for analyzing and enhancing multi-way data. He also discussed the use of multiblock analysis techniques for data from multiple sensors. Jose and Fede talked for almost four hours. It is an important opportunity for audiences to learn chemometrics, multi-way analysis, hyperspectral imaging, and PARAFAC. Several other participants, particularly Dr. Arthit Phuphaphud and Associated Prof. Khwantri Saengprachatananarg (Khon Kaen University, Thailand, sugarcane research), Dr. Verena Wiedemair (NARO, sampling methods), Mr. Kittipon Aparatana (Ryukyu University, sugarcane evaluation), Dr. Xinyue Li (NARO, metabolomics), gave nice presentations. In the lunch time and dinner, we had a barbeque party on the farm, having Okinawa’s excellent beef and pork. During the party, we discussed a lot and at the same time deepened our friendship. The last day marked the Japanese culture day; some participa","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115305549","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}
Pub Date : 2023-02-20DOI: 10.1177/09603360231157075
A. Ikehata
This is a report on the 38th Near Infrared Forum in Tokyo. This was our first in-person meeting in three years, since 2019. Due to the fact that COVID-19 is still in effect, some of the sessions were also online, considering the restrictions on international travel and the keeping of social distance. However, as a result, the event was a success with over 200 participants.
{"title":"The 38th NIR Forum (Japan)","authors":"A. Ikehata","doi":"10.1177/09603360231157075","DOIUrl":"https://doi.org/10.1177/09603360231157075","url":null,"abstract":"This is a report on the 38th Near Infrared Forum in Tokyo. This was our first in-person meeting in three years, since 2019. Due to the fact that COVID-19 is still in effect, some of the sessions were also online, considering the restrictions on international travel and the keeping of social distance. However, as a result, the event was a success with over 200 participants.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126646068","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}
Pub Date : 2023-01-29DOI: 10.1177/09603360221149412
S. Saranwong, Holger Lutz
{"title":"Bruker launches the new FT-NIR process analyzer MATRIX-F II","authors":"S. Saranwong, Holger Lutz","doi":"10.1177/09603360221149412","DOIUrl":"https://doi.org/10.1177/09603360221149412","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125159968","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}
Pub Date : 2022-11-01DOI: 10.1177/09603360221142821
Dário Passos, Puneet Mishra
Deep learning for near-infrared spectral data is a recent topic of interest for near-infrared practitioners. In recent years, applications of deep learning are flourishing from analyses of point spectrometer data to hyperspectral image analysis. However, there are also some cases where simple partial least-squares based models are sufficient. This paper provides a concise view of the state of the art of deep learning for near-infrared data modelling, particularly discussing when deep learning is useful. Discussion is also provided on what is already achieved and what ideas would be interesting to pursue regarding deep learning modelling of near-infrared data.
{"title":"Perspectives on deep learning for near-infrared spectral data modelling","authors":"Dário Passos, Puneet Mishra","doi":"10.1177/09603360221142821","DOIUrl":"https://doi.org/10.1177/09603360221142821","url":null,"abstract":"Deep learning for near-infrared spectral data is a recent topic of interest for near-infrared practitioners. In recent years, applications of deep learning are flourishing from analyses of point spectrometer data to hyperspectral image analysis. However, there are also some cases where simple partial least-squares based models are sufficient. This paper provides a concise view of the state of the art of deep learning for near-infrared data modelling, particularly discussing when deep learning is useful. Discussion is also provided on what is already achieved and what ideas would be interesting to pursue regarding deep learning modelling of near-infrared data.","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129041892","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}
Pub Date : 2022-11-01DOI: 10.1177/09603360221143477
G. Batten
{"title":"The 19th Australian Near Infrared Spectroscopy Group Conference 2022","authors":"G. Batten","doi":"10.1177/09603360221143477","DOIUrl":"https://doi.org/10.1177/09603360221143477","url":null,"abstract":"","PeriodicalId":113081,"journal":{"name":"NIR News","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124127862","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}
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