Machine learning-assisted spectroscopic ellipsometry of chromium thin films for microalgae biosensing.

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Bibliographic Details
Title: Machine learning-assisted spectroscopic ellipsometry of chromium thin films for microalgae biosensing.
Authors: Herawati A; Research Center for Photonics, National Research and Innovation Agency (BRIN), Bd. 442 Kawasan Puspiptek Serpong, South Tangerang, Banten, 15314, Indonesia. Electronic address: asmi002@brin.go.id., Suhendra; Department of International Doctoral Program in Agriculture, National Chung Hsing University, Taichung, 402202, Taiwan; Department of Agro-Industrial Technology, Universitas Bengkulu, Bengkulu, 38112, Indonesia. Electronic address: d112030206@mail.nchu.edu.tw., Khasanah RAN; Department of Physics Education, Universitas Negeri Yogyakarta, Yogyakarta, 55281, Indonesia., Widianto E; Department of Physics, Faculty of Engineering, Universitas Singaperbangsa Karawang, Telukjambe Timur, Karawang, 41361, Indonesia., Santoso I; Department of Physics, Faculty of Mathematics and Natural Science, Gadjah Mada University, Sekip Utara, BLS 21, Yogyakarta, 55281, Indonesia., Suharyadi E; Department of Physics, Faculty of Mathematics and Natural Science, Gadjah Mada University, Sekip Utara, BLS 21, Yogyakarta, 55281, Indonesia., Kato T; Department of Electronics, Nagoya University, Nagoya, Japan; Institute of Materials and System for Sustainability, Nagoya University, Nagoya, Japan., Iwata S; Institute of Materials and System for Sustainability, Nagoya University, Nagoya, Japan., Lin HT; Department of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung, 402202, Taiwan.
Source: Biosensors & bioelectronics [Biosens Bioelectron] 2026 Jun 15; Vol. 302, pp. 118543. Date of Electronic Publication: 2026 Feb 16.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Advanced Technology Country of Publication: England NLM ID: 9001289 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4235 (Electronic) Linking ISSN: 09565663 NLM ISO Abbreviation: Biosens Bioelectron Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-4235
DOI:10.1016/j.bios.2026.118543