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Measuring, recording and analyzing spectral information of materials as its unique finger print using a ubiquitous smartphone has been desired by scientists and consumers. We demonstrated it as drug classification by chemical components with smartphone Raman spectrometer. The Raman spectrometer is based on the CMOS image sensor of the smartphone with a periodic array of band pass filters, capturing 2D Raman spectral intensity map, newly defined as spectral barcode in this work. Here we show 11 major components of drugs are classified with high accuracy, 99.0%, with the aid of convolutional neural network (CNN). The beneficial of spectral barcodes is that even brand name of drug is distinguishable and major component of unknown drugs can be identified. Combining spectral barcode with information obtained by red, green and blue (RGB) imaging system or applying image recognition techniques, this inherent property based labeling system will facilitate fundamental research and business opportunities. Smartphones are ubiquitous devices that have permeated into our daily life. Here, the authors demonstrate that a Smartphone Raman spectrometer can be used for drug classification by using a convolutional neural network to process its spectral barcode. [ABSTRACT FROM AUTHOR]

Augmenting contact lenses with sensing capabilities requires incorporating multiple functionalities within a diminutive device. Inspired by multifunctional biophotonic nanostructures of glasswing butterflies, a nanostructured scleral lens with enhanced optical, bactericidal, and sensing capabilities is reported. When used in conjunction with a smartphone‐integrated Raman spectrometer, the feasibility of point‐of‐care applications is demonstrated. The bioinspired nanostructures made on parylene films are mounted on the anterior and posterior side of a scleral lens to create a nanostructured lens. Compared to unstructured parylene, nanostructured parylene minimizes glare by 4.3‐fold at large viewing angles up to 80o. When mounted on a scleral lens, the nanostructures block 2.8‐fold more ultraviolet (UVA) light while offering 1.1‐fold improved transmission in the visible regime. Furthermore, the nanostructures exhibit potent bactericidal activity against Escherichia coli, killing 89% of tested bacteria within 4 h. The same nanostructures, when gold‐coated, are used to perform rapid label‐free multiplex detection of lysozyme and lactoferrin, the protein biomarkers of the chronic dry eye disease, in whole human tears using drop‐coating deposition Raman spectroscopy. The detection of both proteins in whole human tear samples from different subjects using the nanostructured lens produced excellent correlation with commercial enzyme‐based assays while simultaneously displaying a 1.5‐fold lower standard deviation. [ABSTRACT FROM AUTHOR]

Correction to: I Nature Communications i https://doi.org/10.1038/s41467-023-40925-3, published online 29 August 2023 In this article, the affiliation details for Seokin Kim were incorrectly given as 'Department of Digital Health, Samsung Advanced Institute of Health Science, Sungkyunkwan University, Seoul 06355, Korea' but should have been 'School of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea'. These authors contributed equally: Un Jeong Kim, Suyeon Lee. [Extracted from the article]

Recent advancements in nanotechnology raise the feasibility of a miniaturized, portable Raman spectrometer with promising applications such as material identification, food safety monitoring, and health care. Miniaturizing Raman spectrometers has remained a challenge owing to the inevitable weakness of Raman signals and the conflict between small size and spectral resolution. In this study, we present a portable mini-Raman spectrometer comprising a complementary metal–oxide semiconductor (CMOS) image sensor (CIS) integrated with an array of filter sets, a confocal probe, and a laser diode that successfully meets the miniaturization challenge. We also report successful measurement of Raman spectra using the CIS-based mini-spectrometer, measuring cyclohexane liquid, tylenol pills, and vitamin-C pills with high spectral resolution. Our mini-Raman spectrometer, which can measure Raman signals in a two-dimensional (2D) image format in a single-shot, can be embedded into commercial mobile phones and transformed into a promising Raman camera. • The successful measurement of the Raman signal as a two-dimensional image using a CMOS image sensor. • Raman images were reconstructed as spectra with approximately 1.0 nm (16.21 cm−1) resolution using the developed method. • The successful demonstration of a CMOS-based miniaturized Raman spectrometer. [ABSTRACT FROM AUTHOR]