Applied Spectroscopy Reviews最新文献_第8页

Microplasma-based excitation/ionization source: from atomic to mass spectrometry 基于微等离子体的激发/电离源:从原子到质谱

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2022-02-23 DOI: 10.1080/05704928.2022.2041027

Mei-Lan Wang, Bing Qian, Qiaoxia Tian, Jingling Lin, Jing Zhao, Yue Zhang, Bingjun Han

引用次数: 2

Recent progress in metal–organic frameworks-based materials toward surface-enhanced Raman spectroscopy 金属有机骨架材料表面增强拉曼光谱研究进展

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2022-01-19 DOI: 10.1080/05704928.2021.2025068

H. Sun, Bo Yu, Xue Pan, Xiubin Zhu, Zhicheng Liu

引用次数: 12

Recent advances in chemiluminescence and cataluminescence for the detection of volatile sulfur compounds 化学发光和催化发光检测挥发性硫化合物的新进展

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2022-01-05 DOI: 10.1080/05704928.2021.2016792

Sirui Pu, Yi Pan, Lichun Zhang, Yi Lv

引用次数: 7

Sampling and analysis techniques for inorganic air pollutants in indoor air 室内空气中无机空气污染物取样分析技术

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-12-31 DOI: 10.1080/05704928.2021.2020807

F. Villanueva, M. Ródenas, A. Ruus, J. Saffell, M. Gabriel

{"title":"Sampling and analysis techniques for inorganic air pollutants in indoor air","authors":"F. Villanueva, M. Ródenas, A. Ruus, J. Saffell, M. Gabriel","doi":"10.1080/05704928.2021.2020807","DOIUrl":"https://doi.org/10.1080/05704928.2021.2020807","url":null,"abstract":"Abstract Effective evidence-based actions to reduce indoor air pollution must be derived from data obtained using accurate means for assessment of the critical air pollutants and for the identification of their sources. This is of paramount importance to provide robust evidence for establishing effective policies or preventive measures. Nevertheless, designing a reliable sampling plan for assessing concentration of inorganic pollutant in the indoor air requires expertise in conducting rigorous sampling campaigns and proper knowledge on the existing standards and methodologies for assessing concentration of the target substances. Therefore, this review focuses on the relevant information and recommendations that should be considered when designing a sampling plan to collect complementary data on the indoor environment under study, to properly define the criteria for establishing the details for the work and to ensure the quality of the assessments. In particular, comprehensive information on the most commonly used methodologies for the determination of a list of critical inorganic pollutants for indoor air quality monitoring has been compiled. Thus, inorganic gaseous pollutants such as CO2, CO, O3, NO2, NO, NH3, SO2, H2O2, H2S, HNO3 and HNCO are included in the present review.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"55 1","pages":"531 - 579"},"PeriodicalIF":6.1,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84371310","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: 16

Advanced instrumental approaches for chemical characterization of indoor particulate matter 室内颗粒物化学特性的先进仪器方法

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-12-24 DOI: 10.1080/05704928.2021.2018596

R. M. Duarte, J. Gomes, X. Querol, A. Cattaneo, B. Bergmans, D. Saraga, T. Maggos, A. Di Gilio, S. Rovelli, F. Villanueva

{"title":"Advanced instrumental approaches for chemical characterization of indoor particulate matter","authors":"R. M. Duarte, J. Gomes, X. Querol, A. Cattaneo, B. Bergmans, D. Saraga, T. Maggos, A. Di Gilio, S. Rovelli, F. Villanueva","doi":"10.1080/05704928.2021.2018596","DOIUrl":"https://doi.org/10.1080/05704928.2021.2018596","url":null,"abstract":"Abstract Particulate matter (PM) is an important player of indoor air quality and a topic of great interest in terms of public health. Deciphering the complex chemical composition of indoor PM is critical to understand the association between particles components and a wide range of adverse health effects. Over the last decades, advanced analytical instrumentation has been produced capable of providing various levels of information on the chemical features of indoor PM. This article reviews the most promising of these sophisticated analytical techniques that could be employed in the identification of organic and inorganic constituents of indoor PM, including (high-resolution) mass spectrometry, organic, carbonaceous and ions analytical techniques, elemental analysis techniques such as atomic spectrometry and X-ray based methods, and surface analysis techniques. A distinction is made between online and offline instrumentation, focusing on their capabilities and how they are currently being used in the targeted and untargeted analysis of PM components. This review aims to provide the indoor air chemistry community with insights into the power of the different techniques available today, so that they can be used advantageously in future studies.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"43 1","pages":"705 - 745"},"PeriodicalIF":6.1,"publicationDate":"2021-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83488657","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: 12

A review of microbial and chemical assessment of indoor surfaces 室内表面微生物和化学评价综述

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-11-18 DOI: 10.1080/05704928.2021.1995870

V. Mihucz, A. Ruus, Jane Raamets, L. Wimmerova, T. Vera, R. Bossi, K. Huttunen

引用次数: 2

Combined and modular approaches for multicomponent monitoring of indoor air pollutants 室内空气污染物多组分监测的组合和模块化方法

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-11-13 DOI: 10.1080/05704928.2021.1995405

A. Spinazzè, F. Borghi, S. Rovelli, V. Mihucz, B. Bergmans, A. Cattaneo, D. Cavallo

{"title":"Combined and modular approaches for multicomponent monitoring of indoor air pollutants","authors":"A. Spinazzè, F. Borghi, S. Rovelli, V. Mihucz, B. Bergmans, A. Cattaneo, D. Cavallo","doi":"10.1080/05704928.2021.1995405","DOIUrl":"https://doi.org/10.1080/05704928.2021.1995405","url":null,"abstract":"Abstract Readers will be introduced to the most common sampling and analytical techniques that are being used indoors for air quality monitoring though the simultaneous determination of several air pollutants (i.e., inorganic and organic gaseous contaminants and airborne particulate matter) and the possible challenges encountered by implementing them. Thus, i) personal exposure equipment; (ii) portable multipollutant monitors; and (iii) fixed monitoring devices have been reviewed. Besides, compiling the most common modular arrangements of instruments, multipollutant analysis approaches through time-integrated and continuous sampling performed during field campaigns organized in several indoor environments in the frame of collaborative research projects are hereby also presented. Our aim was not to compile a comprehensive review on approaches used for multipollutant indoor air quality monitoring but instead to give an overview of potentially useful instrumentation. Discussion on instruments useful for the determination of radicals and bioaerosols as well as use of sensors has been voluntary minimized.","PeriodicalId":8100,"journal":{"name":"Applied Spectroscopy Reviews","volume":"35 1","pages":"780 - 816"},"PeriodicalIF":6.1,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82857777","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: 5

Special issue: clinical applications of spectroscopy 特刊:光谱学的临床应用

IF 6.1 2区化学

Applied Spectroscopy Reviews Pub Date : 2021-11-08 DOI: 10.1080/05704928.2021.1953516

I. Rehman

引用次数: 0

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