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10.1021/acs.analchem.5c03402 http://scihub22266oqcxt.onion/10.1021/acs.analchem.5c03402 41359291!?!41359291 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=41359291&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Anal+Chem 2025 ; ? (?): ? Nephropedia Template TP {{tp|p=41359291|t=2025. Sniffing Out Lung Cancer: Biomimetic Breath Analysis via a Deep Eutectic Solvent-Driven Colorimetric Sensor Array |pdf=|usr=}}{{41359291}} gab.com Text Sniffing Out Lung Cancer: Biomimetic Breath Analysis via a Deep Eutectic Solvent-Driven Colorimetric Sensor Array JO: Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=41359291 #FOAvip Lung cancer remains the leading cause of cancer-related mortality worldwide, primarily due to the lack of accessible, noninvasive early diagnostic tools. Here, we present a novel paper-based colorimetric sensor array that leverages deep eutectic solvents (DES) and pH indicators to detect lung-cancer-specific volatile organic compounds (VOCs) in exhaled breath. The hydrophobic DES enhances sensor stability and selectivity by mitigating moisture interference, while amplifying VOC interactions through hydrogen bonding and proton exchange. Breath samples from 91 participants (46 lung cancer patients, 28 noncancer respiratory disease patients, and 17 healthy controls) were analyzed using a portable, sterilized collection system. The sensor array achieved 93% accuracy in discriminating cancer patients from noncancerous individuals via linear discriminant analysis (LDA), with 98% sensitivity and specificity at the optimal cutoff. Notably, the system also distinguished lung cancer from other respiratory diseases (87% accuracy), addressing a critical clinical challenge. Hierarchical cluster analysis (HCA) and ROC curves further validated the robustness of the platform. This cost-effective, rapid, and noninvasive approach demonstrates significant potential for large-scale lung cancer screening, offering a transformative alternative to conventional diagnostic methods. Twit Text FOAVip Sniffing Out Lung Cancer: Biomimetic Breath Analysis via a Deep Eutectic Solvent-Driven Colorimetric Sensor Array ????Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=41359291 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=41359291 #FOAvip English Wikipedia <ref>{{Cite pmid|41359291}}</ref> Sniffing Out Lung Cancer: Biomimetic Breath Analysis via a Deep Eutectic Solvent-Driven Colorimetric Sensor Array #MMPMID41359291 Pesaran S; Shojaeifard Z; Tashkhourian J; Fallahi MJ; Rezvani AR; Hemmateenejad B Anal Chem 2025[Dec]; ? (?): ? PMID41359291show ga Lung cancer remains the leading cause of cancer-related mortality worldwide, primarily due to the lack of accessible, noninvasive early diagnostic tools. Here, we present a novel paper-based colorimetric sensor array that leverages deep eutectic solvents (DES) and pH indicators to detect lung-cancer-specific volatile organic compounds (VOCs) in exhaled breath. The hydrophobic DES enhances sensor stability and selectivity by mitigating moisture interference, while amplifying VOC interactions through hydrogen bonding and proton exchange. Breath samples from 91 participants (46 lung cancer patients, 28 noncancer respiratory disease patients, and 17 healthy controls) were analyzed using a portable, sterilized collection system. The sensor array achieved 93% accuracy in discriminating cancer patients from noncancerous individuals via linear discriminant analysis (LDA), with 98% sensitivity and specificity at the optimal cutoff. Notably, the system also distinguished lung cancer from other respiratory diseases (87% accuracy), addressing a critical clinical challenge. Hierarchical cluster analysis (HCA) and ROC curves further validated the robustness of the platform. This cost-effective, rapid, and noninvasive approach demonstrates significant potential for large-scale lung cancer screening, offering a transformative alternative to conventional diagnostic methods. ?Sniffing Out Lung Cancer: Biomimetic Breath Analysis via a Deep Eutect(epmc).pdf DeepDyve Pubget Overpricing