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Additionally, on\u2010site identification of the material also leads to considerable efficiency and cost benefits. As such, paperwork, transportation, and time\u2010consuming analysis in a laboratory may be avoided. Near\u2010infrared (NIR) spectroscopy is an analysis technique suitable for rapid drug testing using portable equipment. A possible limitation of spectroscopic analysis concerns the complexity of seized materials. NIR measurements represent composite spectra for mixtures and diagnostic spectral features can be obscured by excipients such as colorants. Herein, a NIR\u2010based (1300\u20132600\u2009nm) detection of heroin and MDMA in colored casework (i.e., brown powders and ecstasy tablets) using a portable analyzer is presented. The application includes a multistage data analysis model based on the net analyte signal (NAS) approach. This identification model was specifically designed for mixture analysis and requires a limited set of pure reference spectra only. Consequently, model calibration efforts are reduced to a minimum. A total of 549 forensic samples was tested comprising brown heroine samples and a variety of colored tablets with different active ingredients. This investigation led to a &gt;99% true negative and &gt;93% true positive rate for heroin and MDMA. These results show that accurate on\u2010site detection in colored casework is possible using NIR spectroscopy combined with an efficient data analysis model. These findings may eventually help in the transition of routine forensic laboratories from laboratory\u2010based techniques to portable equipment operated on scene.<\/jats:p>","DOI":"10.1002\/dta.3356","type":"journal-article","created":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T06:29:46Z","timestamp":1660544986000},"page":"1762-1772","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["On\u2010site forensic analysis of colored seized materials: Detection of brown heroin and MDMA\u2010tablets by a portable NIR spectrometer"],"prefix":"10.1002","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1472-3739","authenticated-orcid":false,"given":"Ruben F.","family":"Kranenburg","sequence":"first","affiliation":[{"name":"Unit Amsterdam, Forensic Laboratory Dutch National Police  Amsterdam The Netherlands"},{"name":"Van't Hoff Institute for Molecular Sciences University of Amsterdam  Amsterdam GD The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henk\u2010Jan","family":"Ramaker","sequence":"additional","affiliation":[{"name":"TIPb  Amsterdam The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arian C.","family":"van Asten","sequence":"additional","affiliation":[{"name":"Van't Hoff Institute for Molecular Sciences University of Amsterdam  Amsterdam GD The Netherlands"},{"name":"Co van Ledden Hulsebosch Center (CLHC), Amsterdam Center for Forensic Science and Medicine  Amsterdam The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,8,31]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"World Drug Report.2021.United Nations: Office on Drugs and Crime.https:\/\/www.unodc.org\/unodc\/en\/data-and-analysis\/wdr2021.html. 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