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At the same time, the number of physiologically occurring A\u03b2 analogs is much higher, including those truncated at the N- and C-termini. Their identification using standard methods is challenging due to the structural similarity of various A\u03b2 analogs, but could highly benefit from\u00a0both biomarkers discovery and pathophysiological studies of Alzheimer\u2019s disease. Therefore a \u201cchemical tongue\u201d sensing strategy was employed\u00a0for the detection of seven A\u03b2 peptide derivatives: A\u03b2<jats:sub>1-16<\/jats:sub>, A\u03b2<jats:sub>4-16<\/jats:sub>, A\u03b2<jats:sub>4-9<\/jats:sub>, A\u03b2<jats:sub>5-16<\/jats:sub>, A\u03b2<jats:sub>5-12<\/jats:sub>, A\u03b2<jats:sub>5-9<\/jats:sub>, A\u03b2<jats:sub>12-16<\/jats:sub>. The proposed sensing system is based on competitive interactions between quantum dots, Cu(II) ions, and A\u03b2 peptides, providing unique fluorescence fingerprints useful for the identification of analytes. After carefully evaluating the A\u03b2 sample preparation protocol, perfect determination of all studied A\u03b2 peptides was achieved using partial least square\u2013discriminant analysis (PLS-DA). The developed PLS-DA models\u00a0are characterized by excellent accuracy, sensitivity, precision, and specificity of analyte determination, emphasizing the potential of the proposed sensing strategy.<\/jats:p>\n                <jats:p><jats:bold>Graphical abstract<\/jats:bold><\/jats:p>","DOI":"10.1007\/s00604-024-06764-9","type":"journal-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:02:01Z","timestamp":1729922521000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Tuning multispectral fluorescence quantum dot\u2013based identification of short-length amyloid \u03b2 peptides by applying Cu(II) ions"],"prefix":"10.1007","volume":"191","author":[{"given":"Klaudia","family":"G\u0142owacz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weronika","family":"Tokarska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anita","family":"Olechowska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nina E.","family":"Wezynfeld","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrycja","family":"Ciosek-Skibi\u0144ska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,26]]},"reference":[{"key":"6764_CR1","doi-asserted-by":"publisher","unstructured":"(2023) 2023 Alzheimer\u2019s disease facts and figures. 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