Applied Spectroscopy Reviews最新文献_第9页

An overview of hyperspectral image feature extraction, classification methods and the methods based on small samples 综述了高光谱图像特征提取、分类方法和基于小样本的方法

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-11-05 DOI: 10.1080/05704928.2021.1999252

Xueying Li, Zongmin Li, Huimin Qiu, G. Hou, Pingping Fan

{"title":"An overview of hyperspectral image feature extraction, classification methods and the methods based on small samples","authors":"Xueying Li, Zongmin Li, Huimin Qiu, G. Hou, Pingping Fan","doi":"10.1080/05704928.2021.1999252","DOIUrl":"https://doi.org/10.1080/05704928.2021.1999252","url":null,"abstract":"Abstract Hyperspectral image (HSI) contains rich spatial and spectral information, which has been widely used in resource exploration, ecological environment monitoring, land cover classification and target recognition. However, the nonlinearity of HSI data and the strong correlation between bands also bring difficulties and challenges to HSI application. In particular, the limited available hyperspectral training samples will lead to the classification accuracy cannot be improved. Therefore, making full use of the advantages of HSI data, through algorithms and strategies to solve the limited training samples, high-dimensional HSI data and effective classification method, so as to improve the classification accuracy. This paper reviews the research results of the feature extraction methods and classification methods of HSI classification in recent years. In addition, this paper expounds five kinds of small sample strategies, and solves the problem of small sample in HSI classification from different angles. Small sample strategy will be the focus of HSI classification research in the future. To solve the problem of small sample classification can greatly promote the application of HSI.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"134 ","pages":"367 - 400"},"PeriodicalIF":6.1,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72420198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

An overview of alcoholic beverages discrimination and a study on identification of bland Chinese liquors by 13C-NMR and 1H-NMR spectra 酒精饮料鉴别综述及用13C-NMR和1H-NMR鉴别中国白酒的研究

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-10-28 DOI: 10.1080/05704928.2021.1988960

Qing Xiong, Yizhou Li, Kailai Xu, Pengchi Deng, X. Hou

{"title":"An overview of alcoholic beverages discrimination and a study on identification of bland Chinese liquors by 13C-NMR and 1H-NMR spectra","authors":"Qing Xiong, Yizhou Li, Kailai Xu, Pengchi Deng, X. Hou","doi":"10.1080/05704928.2021.1988960","DOIUrl":"https://doi.org/10.1080/05704928.2021.1988960","url":null,"abstract":"Abstract An overview of alcoholic beverages discrimination plus the author’s experimental research work on identification of bland Chinese liquors is presented in this article. First, a summary was given on analytical techniques combined with multivariate statistical analysis for discrimination problems related to alcoholic beverages; and then, our experimental research was presented on discrimination of different aroma types of Chinese liquors by 1H-Nuclear Magnetic Resonance (NMR) and 13C-NMR combined with multivariate statistical analysis. Principal Component Analysis (PCA) was used to highlight the most significant features from high-dimensional data to acquire visual inspections of NMR spectra in the first step. The representative new score values were used as the input variables for Support Vector Machine (SVM), and the performance of this model was evaluated by Leave-One-Out Cross Validation method (LOOCV). Compared with 1H-NMR, the scores of PCA and predications of the SVM model from 13C-NMR spectra showed more significant separation and better prediction performance. 13C-NMR for multivariate analysis might be a more effective tool for identification of these Chinese liquors because of its complementary component information as well as less spectral overlapping than that in 1H-NMR.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"8 1","pages":"252 - 270"},"PeriodicalIF":6.1,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83658810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Application of infrared spectroscopy combined with chemometrics in mushroom 红外光谱与化学计量学相结合在香菇中的应用

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-10-21 DOI: 10.1080/05704928.2021.1994415

Xiong Chen, Jieqing Li, Tao Li, Honggao Liu, Yuan-zhong Wang

引用次数: 9

Developments of spectroscopic biosensors for cholinesterase and its inhibitors in the last decade: an overview 近十年来胆碱酯酶及其抑制剂光谱生物传感器研究进展综述

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-10-12 DOI: 10.1080/05704928.2021.1990080

Qiuyue Yu, Jing Liao, Feng Xu, Xin Yuan, Xiaoli Xiong, T. Xiao, Huimin Yu, Ke Huang

引用次数: 2

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases 红外和拉曼光谱在癌症和传染病领域的临床应用

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-10-06 DOI: 10.1080/05704928.2021.1946076

M. Paraskevaidi, Baker J. Matthew, Butler J. Holly, Byrne J. Hugh, C. P. Thulya, C. Loren, Crean StJohn, Gardner Peter, Gassner Callum, Kazarian G. Sergei, Kochan Kamila, Kyrgiou Maria, Lima M. G. Kássio, Martin-Hirsch L. Pierre, Paraskevaidis Evangelos, Pebotuwa Savithri, A. John, Salange Alexandra, Santos Marfran, Sulé-Suso Josep, Tyagi Gunjan, W. Michael, Wood Bayden

{"title":"Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases","authors":"M. Paraskevaidi, Baker J. Matthew, Butler J. Holly, Byrne J. Hugh, C. P. Thulya, C. Loren, Crean StJohn, Gardner Peter, Gassner Callum, Kazarian G. Sergei, Kochan Kamila, Kyrgiou Maria, Lima M. G. Kássio, Martin-Hirsch L. Pierre, Paraskevaidis Evangelos, Pebotuwa Savithri, A. John, Salange Alexandra, Santos Marfran, Sulé-Suso Josep, Tyagi Gunjan, W. Michael, Wood Bayden","doi":"10.1080/05704928.2021.1946076","DOIUrl":"https://doi.org/10.1080/05704928.2021.1946076","url":null,"abstract":"Abstract Analytical technologies that can improve disease diagnosis are highly sought after. Current screening/diagnostic tests for several diseases are limited by their moderate diagnostic performance, invasiveness, costly and laborious methodologies or the need for multiple tests before a definitive diagnosis. Spectroscopic techniques, including infrared (IR) and Raman, have attracted great interest in the medical field, with applications expanding from early disease detection to monitoring and real-time diagnosis. This review highlights applications of IR and Raman spectroscopy, with a focus on cancer and infectious diseases since 2015, and underscores the diverse sample types that can be analyzed, such as biofluids, cells and tissues. Studies involving more than 25 participants per group (disease and control group; if no control group >25 in disease group) were considered eligible, to retain the clinical focus of the paper. Following literature searches, we identified 94 spectroscopic studies on different cancers and 30 studies on infectious diseases. The review suggests that such technologies have the potential to develop into an objective, inexpensive, point-of-care test or facilitate disease diagnosis and monitoring. Up-to-date considerations for the implementation of spectroscopic techniques into a clinical setting, health economics and successful applications of vibrational spectroscopic tests in the clinical arena are also discussed.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"35 1","pages":"804 - 868"},"PeriodicalIF":6.1,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81114971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

Applications of characterization methods in polyurethane materials: analysis of microphase-separated structures 表征方法在聚氨酯材料中的应用:微相分离结构分析

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-09-14 DOI: 10.1080/05704928.2021.1975126

Qinqin Zhang, Xiaoqi Lin, Weisheng Chen, Kaisen Jiang, Dezhi Han

引用次数: 6

Methods in Raman spectroscopy for saliva studies – a review 唾液拉曼光谱研究方法综述

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-08-30 DOI: 10.1080/05704928.2021.1969944

Mike Hardy, Liam Kelleher, Paulo de Carvalho Gomes, E. Buchan, H. Chu, P. Goldberg Oppenheimer

引用次数: 19

Remote molecular composition analysis of laser-ablated material 激光烧蚀材料的远程分子组成分析

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-08-23 DOI: 10.1080/05704928.2021.1966634

P. Lubin, M. Pelizzo, Jacob Erlikhman, A. Cohen, J. Madajian, P. Meinhold, G. Hughes, Nic Rupert, P. Srinivasan

{"title":"Remote molecular composition analysis of laser-ablated material","authors":"P. Lubin, M. Pelizzo, Jacob Erlikhman, A. Cohen, J. Madajian, P. Meinhold, G. Hughes, Nic Rupert, P. Srinivasan","doi":"10.1080/05704928.2021.1966634","DOIUrl":"https://doi.org/10.1080/05704928.2021.1966634","url":null,"abstract":"Abstract A novel method is described for remotely interrogating bulk molecular composition of rocky materials. Laser energy heats a local area on the substrate; flux is optimized to melt and evaporate target constituents with low rates of molecular dissociation. Substrate temperature rises until an equilibrium is established between incident flux and latent phase-change energies, reaching ˜2500 K in vacuum. A blackbody signal is emitted by the heated spot, traveling outward through the evaporated material; reflective optics direct the signal into a spectrometer. Ro-vibrational absorption in the plume provides a diagnostic for identifying bulk molecular composition of the substrate. Absorption spectra are modeled for compounds with available a priori molecular cross-sections, based on laser and receiver characteristics, and target material properties. Mass ejection flux drives the plume density profile. Qualitative, species-specific spectral profiles are derived by integrating molecular cross section along a path through the plume. Simulations indicate robust absorption profiles.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"138 1","pages":"235 - 251"},"PeriodicalIF":6.1,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89320121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of spodumene identification by statistical approach for laser-induced breakdown spectroscopy data of lithium pegmatite ores 利用统计方法对伟晶岩锂矿激光诱导击穿光谱数据进行锂辉石鉴定

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-08-17 DOI: 10.1080/05704928.2021.1963977

Sari Romppanen, I. Pölönen, H. Häkkänen, S. Kaski

引用次数: 5

Vibrational spectroscopy and multivariate analysis techniques in the clinical immunology laboratory: a review of current applications and requirements for diagnostic use 临床免疫学实验室中的振动光谱学和多变量分析技术:当前诊断应用和要求的综述

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-08-04 DOI: 10.1080/05704928.2021.1958337

Emma L. Callery, A. Rowbottom

{"title":"Vibrational spectroscopy and multivariate analysis techniques in the clinical immunology laboratory: a review of current applications and requirements for diagnostic use","authors":"Emma L. Callery, A. Rowbottom","doi":"10.1080/05704928.2021.1958337","DOIUrl":"https://doi.org/10.1080/05704928.2021.1958337","url":null,"abstract":"Abstract Laboratory tests are essential for clinicians to reach an accurate diagnosis and informing appropriate treatments. The expansion in the use of immunotherapies has highlighted the gap between the knowledge of molecular pathways and targeted therapies with availability of laboratory tests. The translation of vibrational spectroscopic techniques such as Fourier-transform infrared (FTIR) spectroscopy and Raman spectroscopy into clinical practice offer rapid-, noninvasive and inexpensive methods to obtain information on the molecular composition of biological samples. Advances in instrumentation, data analysis and machine learning techniques are key developments that have permitted the availability of results to clinicians in an appropriate timescale. Immunological disorders are complex, often demonstrating interaction across multiple molecular pathways which results in delayed diagnosis. Vibrational spectroscopy is being applied in many fields and here we present a review of its potential use in clinical immunology. This review addresses the potential use of spectroscopy in clinical immunology. Potential benefits that these novel techniques offer, including enhanced definition of molecular process and its use in disease diagnosis, monitoring and treatment response is discussed. Whilst not covered extensively, an overview of the method principle, quality control processes, and the requirements for multivariate data analysis is included to provide the reader with sufficient understanding of its application in the clinical setting.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"9 1","pages":"411 - 440"},"PeriodicalIF":6.1,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74708403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2