Miniaturized Near-Infrared spectrophotometers in forensic analytical science - a critical review

被引:5
作者
Foli, Leticia. P. [1 ]
Hespanhol, Maria C. [1 ]
Cruz, Kaique A. M. L. [1 ]
Pasquini, Celio [2 ]
机构
[1] Univ Fed Vicosa, Ctr Ciencias Exatas & Tecnol, Dept Quim, Grp Analise & Educ Sustentabilidade, Av P H Rolfs S-N, BR-36570900 Vicosa, MG, Brazil
[2] Univ Estadual Campinas UNICAMP, Inst Quim, Rua Monteiro Lobato 290, BR-13083862 Campinas, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
Near-infrared spectroscopy; Forensic analytical science; Miniaturized near-infrared instruments; In-field forensic analysis; HAND-HELD NIR; METANIL-YELLOW ADULTERATION; CALIBRATION TRANSFER; VARIABLE SELECTION; QUALITY ANALYSIS; SPECTROSCOPY; AUTHENTICATION; SPECTROMETER; CLASSIFICATION; IDENTIFICATION;
D O I
10.1016/j.saa.2024.124297
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
The advent of miniaturized NIR instruments, also known as compact, portable, or handheld, is revolutionizing how technology can be employed in forensics. In-field analysis becomes feasible and affordable with these new instruments, and a series of methods has been developed to provide the police and official agents with objective, easy-to-use, tailored, and accurate qualitative and quantitative forensic results. This work discusses the main aspects and presents a comprehensive and critical review of compact NIR spectrophotometers associated with analytical protocols to produce information on forensic matters.
引用
收藏
页数:17
相关论文
共 202 条
[1]   Allan Variance Characterization of Compact Fourier Transform Infrared Spectrometers [J].
Adib, George A. ;
Sabry, Yasser M. ;
Khalil, Diaa .
APPLIED SPECTROSCOPY, 2023, 77 (07) :734-743
[2]   Variable selection in regression-a tutorial [J].
Andersen, C. M. ;
Bro, R. .
JOURNAL OF CHEMOMETRICS, 2010, 24 (11-12) :728-737
[3]  
[Anonymous], 2001, Near-Infrared Technol
[4]  
Anyidoho EK, 2020, ANAL METHODS-UK, V12, P4150, DOI [10.1039/d0ay00901f, 10.1039/D0AY00901F]
[5]   Assessment of extra virgin olive oil quality by miniaturized near infrared instruments in a rapid and non-destructive procedure [J].
Arroyo-Cerezo, Alejandra ;
Yang, Xueping ;
Jimenez-Carvelo, Ana M. ;
Pellegrino, Marina ;
Savino, Angela Felicita ;
Berzaghi, Paolo .
FOOD CHEMISTRY, 2024, 430
[6]   A rapid method to detect green pea and peanut adulteration in pistachio by using portable FT-MIR and FT-NIR spectroscopy combined with chemometrics [J].
Aykas, Didem Peren ;
Menevseoglu, Ahmed .
FOOD CONTROL, 2021, 121
[7]   Information theory and machine learning based authentication of flaxseed oil using portable and handheld vibrational spectroscopy sensors [J].
Aykas, Didem-Peren ;
Menevseoglu, Ahmed ;
Gunes, Nurhan .
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2022, 50 (04)
[8]   Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning [J].
Aznan, Aimi ;
Viejo, Claudia Gonzalez ;
Pang, Alexis ;
Fuentes, Sigfredo .
SENSORS, 2022, 22 (22)
[9]   Classification and quantification of palm oil adulteration via portable NIR spectroscopy [J].
Basri, Katrul Nadia ;
Hussain, Mutia Nurulhusna ;
Bakar, Jamilah ;
Sharif, Zaiton ;
Khir, Mohd Fared Abdul ;
Zoolfakar, Ahmad Sabirin .
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2017, 173 :335-342
[10]  
Bec K.B., 2022, Molecular and Laser Spectroscopy Advances and Applications, P141, DOI [10.1016/B978-0-323-91249-5.00009-0, DOI 10.1016/B978-0-323-91249-5.00009-0]