利用光谱和质谱成像技术实现指纹痕量检测

徐静阳; 方少波; 周婧

doi:10.7498/aps.68.20190174

摘要

近年来, 依赖于先进光源的化学成像技术迅速发展, 极大提高了痕量检测的准确性, 在公共安全、环境、食品、医药、考古等领域具有重要的实用价值. 在痕量检测中, 通过将成像技术与光谱测量技术、质谱技术等相结合, 能够同时获取检验对象的物质组成和二维图像信息, 不仅可以揭示材料表面的痕量物质成分及其分布, 还可以在提高检验灵敏度的情况下, 减少甚至避免传统检测手段所需要的特殊显现剂, 因此与其他检验方法具有良好的兼容性. 本文以指纹检验这一典型的痕量检测问题为例, 阐述基于光谱和质谱成像技术的化学成像方法在痕量检测领域中的应用, 从定向针对特定组分的化学成像和非定向的直接化学成像两个方面, 综述了在指纹显现或显现增强中获得应用的主要成像手段, 包括可见-近红外成像、红外成像、拉曼成像、质谱成像等.

关键词:

Abstract

Developing on advanced light sources, especially those applied in the areas of spectral imaging and mass spectrometry imaging, has made the trace analysis feasible and more reliable. These techniques show great potentials in various fields including forensic science, environment, food, pharmaceuticals, archaeology, etc. In many cases of trace analysis, it is expected to obtain both the spatial distributions and chemical compositions of the target objects. Through the combination of imaging technology with optical spectroscopy and mass spectrometry, it is possible to detect the trace chemicals on the surface of various materials as well as their spatial distributions, thus improving the accuracy of detection and the range of application. Moreover, trace analysis based on such methods can reduce or even avoid the use of special chemical reagents, and is compatible with the traditional chemical detection methods. In the paper, we focus on fingerprint visualization and analysis, as a typical trace analysis issue, to discuss the recent progress of the applicable chemical imaging technologies based on the advanced light sources. The effect of latent fingerprint development depends on not only features of fingerprint carrying object, but also the characteristics of fingerprint residues. In this paper, we provide an overview of two technical approaches: specific component targeted chemical imaging and nondirective chemical imaging. We describe the major technologies involved in this field, including visible-near infrared chemical imaging, mid-infrared chemical imaging, Raman imaging, and mass spectrometry imaging.

Keywords:

作者及机构信息

1.
浙江省毒品防控技术研究重点实验室, 杭州　310053

2.
中国科学院物理研究所, 北京　100190

3.
麻省理工学院化学工程系, 剑桥　02139

4.
浙江大学材料科学与工程系, 杭州　310027

通信作者: 方少波, shaobo.fang@iphy.ac.cn

作者简介:

方少波, 出生于浙江省杭州市, 博士毕业于日本北海道大学极限量子光学专业, 先后在日本、加拿大、美国等国的多个高等研究机构工作学习, 长期从事超快激光方面的相关研究工作。2011年起担任德国亥姆霍兹国家研究中心联合会自由电子激光科学中心青年科学家。2015年入选中国科学院物理研究所“引进国外杰出人才”计划, 同年起在中国科学院物理研究所工作至今。现任中国科学院物理研究所光物理重点实验室副研究员, 入选中国科学院青年创新促进会, 中国光学快报编委会等. 近年来先后在Laser & Photonics Review, Optica, Nanoscale, Applied Physics Letters, Optics Letters等刊物上发表学术论文50余篇. 获授权美国发明专利1项. 现为国家重点研发计划课题负责人, 国家自然科学基金面上项目负责人, 中国科学院科研仪器设备研制项目联合负责人, 战略性先导科技专项子课题负责人

基金项目: 国家重点研发计划(批准号: 2017YFC0110301, 2016YFC0800906)、国家自然科学基金(批准号: 61575219)、浙江省自然科学基金(批准号: LQ16B050002)、公安部技术研究计划(批准号: 2016JSYJA32)和中国科学院青年创新促进会(批准号: 2018007)资助的课题.

Authors and contacts

1.
Key Labortory of Drug Preventation and Control Technology of Zhejiang Province, Hangzhou 310053, China

2.
Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China

3.
Department of Chemial Engineering, Massachusettes Institute of Technology, MA 02139, USA

4.
School of Materials Science and Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding author: Fang Shao-Bo, shaobo.fang@iphy.ac.cn

Funds: Project supported by the National Key R&D Program of China (Grant Nos. 2017YFC0110301, 2016YFC0800906), the National Natural Science Foundation of China (Grant No. 61575219), the Natural Science Foundation of Zhejiang Province, China (Grant No. LQ16B050002), the Technology Research Program of Ministry of Public Security, China (Grant No. 2016JSYJA32), and the Youth Innovation Promotion Association, CAS (Grant No. 2018007).

文章全文 : translate this paragraph

参考文献

[1]	Su B 2016 Anal. Bioanal. Chem. 408 2781 Google Scholar
[2]	van Dam A, van Beek F, Aalders M, van Leeuwen T, Lambrechts S 2016 Sci. Justice 56 143 Google Scholar
[3]	Wei Q, Zhang M, Ogorevc B, Zhang X 2016 Analyst 141 6172 Google Scholar
[4]	Bhargava R, Perlman R, Fernandez D, Levin I, Bartick E 2009 Anal. Bioanal. Chem. 394 2069 Google Scholar
[5]	Heide S, Calavia P, Hardwick S, Hudson S, Wolff K, Russell D 2015 Forensic Sci. Int. 250 1 Google Scholar
[6]	Huynh C, Halamek J 2016 Trends Anal. Chem. 82 328 Google Scholar
[7]	Annemieke D, Aalders M, Kevin B, Hardy H, Leeuwen T, Lambrechts S 2013 Forensic Sci. Int. 232 173 Google Scholar
[8]	He Y, Xu L, Zhu Y, Wei Q, Zhang M, Su B 2014 Angew. Chemi. Int. Ed. 53 12609 Google Scholar
[9]	Leggett R, Leesmith E, Jickells S, Russell D 2007 Angew. Chemi. Int. Ed. 46 4100 Google Scholar
[10]	van Dam A, Nes K, Aalders M, Leeuwen T, Lambrechts S 2014 Anal. Methods 6 1051 Google Scholar
[11]	Lam R, Hofstetter O, Lennard C, Roux C, Spindler X 2016 Forensic Sci. Int. 264 168 Google Scholar
[12]	Xu L, Zhou Z, Zhang C, He Y, Su B 2014 Chem. Commun. 50 9097 Google Scholar
[13]	Zhang Y, Zhou W, Xue Y, Yang J, Liu D 2016 Anal. Chem. 88 12502 Google Scholar
[14]	van Dam A, Aalders M, van Leeuwen T, Lambrechts S 2013 J. Forensic Sci. 58 999 Google Scholar
[15]	van Dam A, Aalders M, Puit M, Gorre S, Irmak D, Leeuwen T, Lambrechts S 2014 Sci. Justice 54 356 Google Scholar
[16]	Edelman G, Gaston E, van Leeuwen T, Cullen P, Aalders M 2012 Forensic Sci. Int. 223 28 Google Scholar
[17]	O'Neill K, Hinners P, Lee Y 2018 J. Forensic Sci. 63 1854 Google Scholar
[18]	齐敏珺, 陈弈桦, 王新全 2016 刑事技术 41 299 Qi M J, Chen Y H, Wang X Q 2016 Forensic Sci. Technol. 41 299
[19]	Maynard P, Jenkins J, Edey C, Payne G, Lennard C, Mcdonagh A, Roux C 2009 Aust. J. Forensic Sci. 41 43 Google Scholar
[20]	Xie H, Wen Q, Huang H, Sun T, Li P, Li Y, Yu X, Wang Q 2015 RSC Adv. 5 79525 Google Scholar
[21]	鲍文, 丁志华, 王川, 梅胜涛 2013 物理学报 62 114202 Google Scholar Bao W, Ding Z H, Wang C, Mei S T 2013 Acta Phys. Sin. 62 114202 Google Scholar
[22]	Ossa M, Amigo J, Garcia-Ruiz C 2014 Forensic Sci. Int. 242 228 Google Scholar
[23]	Banas A, Banas K, Breese B, Loke J, Lim S 2014 Anal. Bioanal. Chem. 406 4173 Google Scholar
[24]	Crane N, Bartick E, Perlman R, Huffman S 2007 J. Forensic Sci. 52 48 Google Scholar
[25]	Sonnex E, Almond M, Bond J 2016 J. Forensic Sci. 61 1100 Google Scholar
[26]	Ricci C, Bleay S, Kazarian S 2007 Anal. Chem. 79 5771 Google Scholar
[27]	Chan K, Kazarian S 2006 Analyst 131 126 Google Scholar
[28]	Ewing A, Kazarian S 2017 Analyst 142 257 Google Scholar
[29]	Dorakumbura B, Boseley R, Becker T, Martin D E, Richter A, Tobin M, van Bronswjik W, Vongsvivut J, Hackett M, Lewis S 2018 Analyst 143 3961 Google Scholar
[30]	马金栋, 吴浩煜, 路桥, 马挺, 时雷, 孙青, 毛庆和 2018 物理学报 67 094207 Google Scholar Ma J D, Wu H Y, Lu Q, Ma T, Shi L, Sun Q, Mao Q H 2018 Acta Phys. Sin. 67 094207 Google Scholar
[31]	Ricci C, Phiriyavityopas P, Curum N, Chan K, Jickells S, Kazarian S 2007 Appl. Spectrosc. 61 514 Google Scholar
[32]	Girod A, Xiao L, Reedy B, Roux C, Weyermann C 2015 Forensic Sci. Int. 254 185 Google Scholar
[33]	Day J, Edwards H, Dobrowski S, Voice A 2004 Spectrochim. Acta Part A 60 563 Google Scholar
[34]	Day J, Edwards H, Dobrowski S, Voice A 2004 Spectrochim. Acta Part A 60 1725 Google Scholar
[35]	Widjaja E 2009 Analyst 134 769 Google Scholar
[36]	Emmons E, Tripathi A, Guicheteau J, Christesen S, Fountain A 2009 Appl. Spectrosc. 63 1197 Google Scholar
[37]	Tripathi A, Emmons E, Wilcox P, Guicheteau J, Fountain A 2011 Appl. Spectrosc. 65 611 Google Scholar
[38]	Song W, Mao Z, Liu X, Lu Y, Li Z, Zhao B, Lu L 2012 Nanoscale 4 2333 Google Scholar
[39]	Figueroa B, Chen Y, Berry K, Francis A, Fu D 2017 Anal. Chem. 89 4468 Google Scholar
[40]	Gode D, Volmer D 2013 Analyst 138 1289 Google Scholar
[41]	Tang H, Lu W, Che C, Ng K 2010 Anal. Chem. 82 1589 Google Scholar
[42]	Cheng Y, Zhang Y, Chau S, Lai K, Tang H, Ng K 2016 ACS Appl. Mater. Interfaces 8 29668 Google Scholar
[43]	Hinners P, O'Neill K, Lee Y 2018 Sci. Rep. 8 5149 Google Scholar
[44]	Kaplan-Sandquist K, LeBeau M, Miller M 2014 Forensic Sci. Int. 235 68 Google Scholar
[45]	Kaplan-Sandquist K, LeBeau M, Miller M 2015 J. Forensic Sci. 60 611 Google Scholar
[46]	Bradshaw R, Denison N, Francese S 2017 Analyst 142 1581 Google Scholar
[47]	Scotcher K, Bradshaw R 2018 Sci. Rep. 8 8765 Google Scholar
[48]	Dutkiewicz E, Urban P 2016 Philos. Trans. R. Soc. A 374 20150380 Google Scholar
[49]	Bandey H, Bowman V, Bleay S 2014 Fingermark Visualisation Manual (Sandridge: CAST, Home Office)
[50]	Becue A 2016 Anal. Methods 8 7983 Google Scholar
[51]	Bailey M, Bright N, Croxton R, Francese S, Ferguson L, Hinder S, Jickells S, Jones B, Kazarian S, Ojeda J, Webb R, Wolstenholme R, Bleay S 2012 Anal. Chem. 84 8514 Google Scholar
[52]	Yang J, Yoh J 2018 Microchem. J. 139 386 Google Scholar
[53]	Pleik S, Spengler B, Bhandari D R, Luhn S, Schafer T, Urbach D, Kirsch D 2018 Analyst 143 1197 Google Scholar
[54]	Amigo J, Babamoradi H, Elcoroaristizabal S 2015 Anal. Chim. Acta 896 34 Google Scholar
[55]	Green T, Kuznetsov I, Willingham D, Naes B, Eiden G, Zhu Z, Chao W, Rocca J, Menoni C, Duffin A 2017 J. Anal. At. Spectrom. 32 1092 Google Scholar
[56]	Zhou G, Cao Q, Kartner F, Chang G 2018 Opt. Lett. 43 2953 Google Scholar

施引文献

图 1 基于不同化学成像技术的指纹检验应用示例图

Fig. 1. Application of various chemical imaging methods for fingerprint visualization and trace analysis.

下载: 全尺寸图片幻灯片

图 2 利用光谱成像技术获得基于光学参量值的数据立方

Fig. 2. Hypercube of the trace sample obtained from hyperspectral imaging.

下载: 全尺寸图片幻灯片

图 3 基于焦平面阵列红外光谱的指纹成像^[29]　(a)检测区域的亮场光学图像; (b)汗腺、皮脂腺分泌物和皮肤脱落物的FT-IR光谱; (c)指印物质组分的空间分布图像; (d)基于汗腺分泌物的O—H键弯曲振动吸收带(1520—1719 cm^–1)、皮脂腺分泌物的C=O键吸收带(1713—1773 cm^–1)和和皮肤脱落物的酰胺II带(1507—1548 cm^–1)产生的指印物质空间分布图像

Fig. 3. Fingerprint image investigated with FT-IR focal plane array imaging^[29]: (a) Bright field optical image of the area investigated with FT-IR focal plane array imaging; (b) FT-IR spectra of eccrine, sebaceoussecretions and skin debris obtained using the conventional FT-IR spectroscopy; (c) the composite distribution map; (d) individual false colour images were generated by integrating over the O—H bending band for the eccrine material (1520−1719 cm^–1), the C=O band for the sebaceous material (1713−1773 cm^–1) and the amide II band (1507−1548 cm^–1) for skin debris.

下载: 全尺寸图片幻灯片

图 4 利用受激拉曼散射显微成像实现潜指纹的无标记化学成像^[39]　(a) 2850 cm^–1和1067 cm^–1波段融合图像; (b)潜指纹中KNO₃的受激拉曼光谱; (c) 2850 cm^–1和1639 cm^–1波段融合图像; (d)苯甲酸的受激拉曼光谱

Fig. 4. Label-free chemical imaging of latent fingerprints with stimulated Raman scattering microscopy^[39]: (a) Image of merged channels from 2850 cm^–1 and 1067 cm^–1; (b) SRS spectrum of pure KNO₃ on the LFP; (c) image of merged channels from 2850 cm^–1 and 1639 cm^–1; (b) SRS spectrum of benzoic acid.

下载: 全尺寸图片幻灯片

图 5 利用MALDI/TOF MSI检出伪麻黄碱和指纹图像^[45]　(a)总离子流图像; (b)质荷比166的提取离子图; (c)总离子流和提取离子的叠加图; (d)标记区域质谱数据; 潜指纹经粉末刷显处理

Fig. 5. Pseudoephedrine residue detection and fingerprint imaging using MLDI/TOF MSI^[45]: (a) Total ion current image; (b) extracted ion image for m/z 166; (c) superimposed image of TIC and extracted ion image; (d) the corresponding mass spectra of the highlighted areas. Fingerprints were developed with fingerprint powder.

下载: 全尺寸图片幻灯片

表 1 不同化学成像法的特点与适用性

Table 1. Features and applicabilities of various chemical imaging methods.

方法	预处理	适用范围	与传统显现技术的兼容性	优缺点
基于特异性反应的化学成像	基于抗原-抗体特异性结合, 使目标手印物质组分带上发色标记	显现含特定目标组分的手印	磁性粉、茚三酮、茚二酮、物理显影液、超级胶处理后, 可进一步采用本方法显现/增强显现^[14,15]	检测目标明确, 灵敏度高, 适用目标组分筛查; 构建反应剂繁琐, 不适用于未知组分的定性.
可见-短波近红外区化学成像	一般不需特殊处理; 往往与传统显现剂顺序使用	当手印物质/处理后的表面物质与背景基质在可见-近红外区有差异化吸收特性时, 实现手印的显现/增强显现	先用茚三酮、物理显影液、刷显粉末、荧光剂、超级胶处理, 再进一步采用本方法增强显现; 或先采用本方法, 不影响后续使用传统显现法	与传统方法兼容, 操作便捷, 非接触式检测; 难以挖掘手印物质组分信息
红外成像	一般不需特殊处理; 依据手印遗留条件, 或使用与手印组分特定分子结构的结合物放大分子信号; 或先转移手印物质到检测基质上再采集光谱信号	组分在近红外-中红外区有响应时(如油脂手印、某些沾附炸药、违禁药物的手印等情形), 实现手印的显现/增强显现	针对一般的汗液手印, 先用超级胶处理, 再进一步采用本方法实现增强显现	适用范围相对广泛, 可挖掘手印组分物质信息, 空间分辨率较高; 灵敏度受手印组分含量限制
拉曼成像	一般不需特殊处理; 依据手印遗留条件, 或先转移手印物质到检测基质上再采集光谱信号	组分具有拉曼光谱响应时(如某些沾附药物、爆炸物的手印等情形), 实现手印的显现/增强显现	先采用本方法, 不影响后续使用传统显现法	适用范围相对广泛, 可挖掘手印组分物质信息, 空间分辨率较高, 非接触式检测; 灵敏度受手印组分含量限制
质谱成像	需进行表面喷镀处理	基于各种内源、外源手印物质组分, 实现手印的显现/增强显现	采用刷显粉末、超级胶处理后的手印, 可进一步采用本方法实现增强显现^[17]	适用范围相对广泛, 可挖掘手印组分物质信息, 灵敏度较高

下载: 导出CSV

[1]	Su B 2016 Anal. Bioanal. Chem. 408 2781 Google Scholar
[2]	van Dam A, van Beek F, Aalders M, van Leeuwen T, Lambrechts S 2016 Sci. Justice 56 143 Google Scholar
[3]	Wei Q, Zhang M, Ogorevc B, Zhang X 2016 Analyst 141 6172 Google Scholar
[4]	Bhargava R, Perlman R, Fernandez D, Levin I, Bartick E 2009 Anal. Bioanal. Chem. 394 2069 Google Scholar
[5]	Heide S, Calavia P, Hardwick S, Hudson S, Wolff K, Russell D 2015 Forensic Sci. Int. 250 1 Google Scholar
[6]	Huynh C, Halamek J 2016 Trends Anal. Chem. 82 328 Google Scholar
[7]	Annemieke D, Aalders M, Kevin B, Hardy H, Leeuwen T, Lambrechts S 2013 Forensic Sci. Int. 232 173 Google Scholar
[8]	He Y, Xu L, Zhu Y, Wei Q, Zhang M, Su B 2014 Angew. Chemi. Int. Ed. 53 12609 Google Scholar
[9]	Leggett R, Leesmith E, Jickells S, Russell D 2007 Angew. Chemi. Int. Ed. 46 4100 Google Scholar
[10]	van Dam A, Nes K, Aalders M, Leeuwen T, Lambrechts S 2014 Anal. Methods 6 1051 Google Scholar
[11]	Lam R, Hofstetter O, Lennard C, Roux C, Spindler X 2016 Forensic Sci. Int. 264 168 Google Scholar
[12]	Xu L, Zhou Z, Zhang C, He Y, Su B 2014 Chem. Commun. 50 9097 Google Scholar
[13]	Zhang Y, Zhou W, Xue Y, Yang J, Liu D 2016 Anal. Chem. 88 12502 Google Scholar
[14]	van Dam A, Aalders M, van Leeuwen T, Lambrechts S 2013 J. Forensic Sci. 58 999 Google Scholar
[15]	van Dam A, Aalders M, Puit M, Gorre S, Irmak D, Leeuwen T, Lambrechts S 2014 Sci. Justice 54 356 Google Scholar
[16]	Edelman G, Gaston E, van Leeuwen T, Cullen P, Aalders M 2012 Forensic Sci. Int. 223 28 Google Scholar
[17]	O'Neill K, Hinners P, Lee Y 2018 J. Forensic Sci. 63 1854 Google Scholar
[18]	齐敏珺, 陈弈桦, 王新全 2016 刑事技术 41 299 Qi M J, Chen Y H, Wang X Q 2016 Forensic Sci. Technol. 41 299
[19]	Maynard P, Jenkins J, Edey C, Payne G, Lennard C, Mcdonagh A, Roux C 2009 Aust. J. Forensic Sci. 41 43 Google Scholar
[20]	Xie H, Wen Q, Huang H, Sun T, Li P, Li Y, Yu X, Wang Q 2015 RSC Adv. 5 79525 Google Scholar
[21]	鲍文, 丁志华, 王川, 梅胜涛 2013 物理学报 62 114202 Google Scholar Bao W, Ding Z H, Wang C, Mei S T 2013 Acta Phys. Sin. 62 114202 Google Scholar
[22]	Ossa M, Amigo J, Garcia-Ruiz C 2014 Forensic Sci. Int. 242 228 Google Scholar
[23]	Banas A, Banas K, Breese B, Loke J, Lim S 2014 Anal. Bioanal. Chem. 406 4173 Google Scholar
[24]	Crane N, Bartick E, Perlman R, Huffman S 2007 J. Forensic Sci. 52 48 Google Scholar
[25]	Sonnex E, Almond M, Bond J 2016 J. Forensic Sci. 61 1100 Google Scholar
[26]	Ricci C, Bleay S, Kazarian S 2007 Anal. Chem. 79 5771 Google Scholar
[27]	Chan K, Kazarian S 2006 Analyst 131 126 Google Scholar
[28]	Ewing A, Kazarian S 2017 Analyst 142 257 Google Scholar
[29]	Dorakumbura B, Boseley R, Becker T, Martin D E, Richter A, Tobin M, van Bronswjik W, Vongsvivut J, Hackett M, Lewis S 2018 Analyst 143 3961 Google Scholar
[30]	马金栋, 吴浩煜, 路桥, 马挺, 时雷, 孙青, 毛庆和 2018 物理学报 67 094207 Google Scholar Ma J D, Wu H Y, Lu Q, Ma T, Shi L, Sun Q, Mao Q H 2018 Acta Phys. Sin. 67 094207 Google Scholar
[31]	Ricci C, Phiriyavityopas P, Curum N, Chan K, Jickells S, Kazarian S 2007 Appl. Spectrosc. 61 514 Google Scholar
[32]	Girod A, Xiao L, Reedy B, Roux C, Weyermann C 2015 Forensic Sci. Int. 254 185 Google Scholar
[33]	Day J, Edwards H, Dobrowski S, Voice A 2004 Spectrochim. Acta Part A 60 563 Google Scholar
[34]	Day J, Edwards H, Dobrowski S, Voice A 2004 Spectrochim. Acta Part A 60 1725 Google Scholar
[35]	Widjaja E 2009 Analyst 134 769 Google Scholar
[36]	Emmons E, Tripathi A, Guicheteau J, Christesen S, Fountain A 2009 Appl. Spectrosc. 63 1197 Google Scholar
[37]	Tripathi A, Emmons E, Wilcox P, Guicheteau J, Fountain A 2011 Appl. Spectrosc. 65 611 Google Scholar
[38]	Song W, Mao Z, Liu X, Lu Y, Li Z, Zhao B, Lu L 2012 Nanoscale 4 2333 Google Scholar
[39]	Figueroa B, Chen Y, Berry K, Francis A, Fu D 2017 Anal. Chem. 89 4468 Google Scholar
[40]	Gode D, Volmer D 2013 Analyst 138 1289 Google Scholar
[41]	Tang H, Lu W, Che C, Ng K 2010 Anal. Chem. 82 1589 Google Scholar
[42]	Cheng Y, Zhang Y, Chau S, Lai K, Tang H, Ng K 2016 ACS Appl. Mater. Interfaces 8 29668 Google Scholar
[43]	Hinners P, O'Neill K, Lee Y 2018 Sci. Rep. 8 5149 Google Scholar
[44]	Kaplan-Sandquist K, LeBeau M, Miller M 2014 Forensic Sci. Int. 235 68 Google Scholar
[45]	Kaplan-Sandquist K, LeBeau M, Miller M 2015 J. Forensic Sci. 60 611 Google Scholar
[46]	Bradshaw R, Denison N, Francese S 2017 Analyst 142 1581 Google Scholar
[47]	Scotcher K, Bradshaw R 2018 Sci. Rep. 8 8765 Google Scholar
[48]	Dutkiewicz E, Urban P 2016 Philos. Trans. R. Soc. A 374 20150380 Google Scholar
[49]	Bandey H, Bowman V, Bleay S 2014 Fingermark Visualisation Manual (Sandridge: CAST, Home Office)
[50]	Becue A 2016 Anal. Methods 8 7983 Google Scholar
[51]	Bailey M, Bright N, Croxton R, Francese S, Ferguson L, Hinder S, Jickells S, Jones B, Kazarian S, Ojeda J, Webb R, Wolstenholme R, Bleay S 2012 Anal. Chem. 84 8514 Google Scholar
[52]	Yang J, Yoh J 2018 Microchem. J. 139 386 Google Scholar
[53]	Pleik S, Spengler B, Bhandari D R, Luhn S, Schafer T, Urbach D, Kirsch D 2018 Analyst 143 1197 Google Scholar
[54]	Amigo J, Babamoradi H, Elcoroaristizabal S 2015 Anal. Chim. Acta 896 34 Google Scholar
[55]	Green T, Kuznetsov I, Willingham D, Naes B, Eiden G, Zhu Z, Chao W, Rocca J, Menoni C, Duffin A 2017 J. Anal. At. Spectrom. 32 1092 Google Scholar
[56]	Zhou G, Cao Q, Kartner F, Chang G 2018 Opt. Lett. 43 2953 Google Scholar

[1]	申圆圆, 王博, 柯冬倩, 郑斗斗, 李中豪, 温焕飞, 郭浩, 李鑫, 唐军, 马宗敏, 李艳君, 伊戈尔∙费拉基米罗维奇∙雅明斯基, 刘俊. 高频率分辨的金刚石氮-空位色心宽频谱成像技术. 物理学报, 2024, 73(6): 067601. doi: 10.7498/aps.73.20231833
[2]	方靖岳, 文之豪, 朱海碧涛, 李欣幸, 邓联文. 基于集成法布里-珀罗微腔阵列的16通道快照式多光谱成像. 物理学报, 2024, 73(7): 074205. doi: 10.7498/aps.73.20231775
[3]	王夏春, 张志荣, 蔡永军, 孙鹏帅, 庞涛, 夏滑, 吴边, 郭强. 基于双楔形扫描镜的甲烷气体光谱成像方法. 物理学报, 2024, 73(11): 114202. doi: 10.7498/aps.73.20231906
[4]	李潇潇, 李娟, 柏财勋, 畅晨光, 郝雄波, 文镇清, 王鹏冲, 冯玉涛. 间接型光谱成像仪相对光谱响应函数标定方法. 物理学报, 2024, 73(12): 120703. doi: 10.7498/aps.73.20240200
[5]	刘丽娴, 陈柏松, 张乐, 章学仕, 宦惠庭, 尹旭坤, 邵晓鹏, 马欲飞, MandelisAndreas. 面向工业园区的多组分痕量气体光声光谱同时检测. 物理学报, 2022, 71(17): 170701. doi: 10.7498/aps.71.20220613
[6]	冯龙呈, 杜琛, 杨圣新, 张彩虹, 吴敬波, 范克彬, 金飚兵, 陈健, 吴培亨. 太赫兹实时近场光谱成像研究. 物理学报, 2022, 71(16): 164201. doi: 10.7498/aps.71.20220131
[7]	尹鸿润, 叶明, 吴阳, 刘凯, 潘化平, 姚佳烽. 基于生物阻抗谱成像的生物组织检测方法. 物理学报, 2022, 71(4): 048706. doi: 10.7498/aps.71.20211600
[8]	刘文龙, 刘学斌, 王爽, 严强强. 基于衍射理论的哈达玛编码光谱成像数据重构. 物理学报, 2022, 71(9): 094201. doi: 10.7498/aps.71.20211977
[9]	尹鸿润, 叶明, 吴阳, 刘凯, 潘化平, 姚佳烽. 基于生物阻抗谱成像的生物组织检测方法. 物理学报, 2021, (): . doi: 10.7498/aps.70.20211600
[10]	才啟胜, 黄旻, 韩炜, 刘怡轩, 路向宁. 大孔径空间外差干涉光谱成像技术多谱段成像仿真. 物理学报, 2018, 67(23): 234205. doi: 10.7498/aps.67.20180943
[11]	李建欣, 柏财勋, 刘勤, 沈燕, 徐文辉, 许逸轩. 新型干涉高光谱成像系统的光束剪切特性分析. 物理学报, 2017, 66(19): 190704. doi: 10.7498/aps.66.190704
[12]	朱光正, 郭连波, 郝中骐, 李常茂, 沈萌, 李阔湖, 李祥友, 刘建国, 曾晓雁, 陆永枫. 气雾化辅助激光诱导击穿光谱检测水中的痕量金属元素. 物理学报, 2015, 64(2): 024212. doi: 10.7498/aps.64.024212
[13]	刘扬阳, 吕群波, 吴戈, 裴琳琳, 王建威. 编码孔径光谱成像仪光学简化彗差对图谱反演误差分析. 物理学报, 2015, 64(5): 054205. doi: 10.7498/aps.64.054205
[14]	南一冰, 唐义, 张丽君, 常月娥, 陈廷爱. 一种卫星平台振动光谱成像数据分块校正方法. 物理学报, 2014, 63(1): 010701. doi: 10.7498/aps.63.010701
[15]	刘扬阳, 吕群波, 曾晓茹, 黄旻, 相里斌. 静态计算光谱成像仪图谱反演的关键数据处理技术. 物理学报, 2013, 62(6): 060203. doi: 10.7498/aps.62.060203
[16]	沈满德, 任欢欢. 一种宽温双光谱红外搜索跟踪系统的设计. 物理学报, 2013, 62(9): 090702. doi: 10.7498/aps.62.090702
[17]	唐秋艳, 唐义, 曹玮亮, 王静, 南一冰, 倪国强. 卫星平台复杂振动引起的光谱成像退化仿真研究. 物理学报, 2012, 61(7): 070202. doi: 10.7498/aps.61.070202
[18]	简小华, 张淳民, 张霖, 赵葆常, 朱兰艳. 利用偏振干涉成像光谱仪进行偏振检测的最佳角度分析. 物理学报, 2009, 58(4): 2286-2293. doi: 10.7498/aps.58.2286
[19]	相里斌, 袁艳, 吕群波. 傅里叶变换光谱成像仪光谱传递函数研究. 物理学报, 2009, 58(8): 5399-5405. doi: 10.7498/aps.58.5399
[20]	司福祺, 谢品华, Klaus-Peter Heue, 刘诚, 彭夫敏, 刘文清. 超光谱成像差分吸收光谱技术研究. 物理学报, 2008, 57(9): 6018-6023. doi: 10.7498/aps.57.6018

计量

文章访问数: 11079
PDF下载量: 143
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

搜索

留言板