Lyocell–modal thread microfluidic platform integrated with a microneedle sensor for lactate detection in saliva.
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| Title: | Lyocell–modal thread microfluidic platform integrated with a microneedle sensor for lactate detection in saliva. |
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| Authors: | Ding, Ling1 (AUTHOR), Zhang, Huizi1 (AUTHOR), Li, Yao1 (AUTHOR), Kameoka, Jun1 (AUTHOR) jkameoka@waseda.jp |
| Source: | Lab on a Chip. 5/5/2026, Vol. 26 Issue 9, p2804-2819. 16p. |
| Subjects: | Thread (Textiles), Electrochemical sensors, Saliva analysis, Microfluidics, Point-of-care testing, Microsensors, Cellulose fibers, Lactates |
| Abstract: | The advancement of wearable and point-of-care (POC) biosensing technologies has driven a growing demand for microfluidic substrates that are flexible, hydrophilic, and compatible with electrochemical sensing. In this study, a lyocell-based thread microfluidic platform was developed to overcome limitations of conventional microfluidic systems. The device employs polypropylene (PP) mesh as a structural substrate and is coupled with a modal absorption pad to sustain consistent and continuous liquid transport. Lyocell's inherent capillary-driven wicking, superior hydrophilicity, semicrystalline microstructure, and high wet modulus collectively provide excellent liquid transport efficiency, structural stability under wet conditions, and bubble-free flow. Experimental analysis revealed that unmodified lyocell achieved liquid transport velocities comparable to plasma-treated cotton, confirming its intrinsic capillary efficiency. When integrated with a microneedle-based electrochemical sensor, the device demonstrated rapid analyte delivery and stable signal generation for both ferrocyanide and lactate detection. The thread-integrated lactate sensor exhibited a strong log-linear correlation, with limits of detection (LoD) of 0.433 mM using chronoamperometry (CA) and 0.51 mM using differential pulse voltammetry (DPV). Human saliva testing was also conducted using saliva samples, and the results were compared with blood lactate concentrations. A strong correlation was observed between salivary and blood lactate levels (R = 0.94). Overall, the lyocell–modal hybrid microfluidic platform provides a sustainable, low-cost, and scalable strategy for electrochemical point-of-care testing (POCT), offering a promising route toward next-generation lab-on-fabric systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Lab on a Chip is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193502729 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Lyocell–modal thread microfluidic platform integrated with a microneedle sensor for lactate detection in saliva. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ding%2C+Ling%22">Ding, Ling</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Huizi%22">Zhang, Huizi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yao%22">Li, Yao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kameoka%2C+Jun%22">Kameoka, Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jkameoka@waseda.jp</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Lab+on+a+Chip%22">Lab on a Chip</searchLink>. 5/5/2026, Vol. 26 Issue 9, p2804-2819. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Thread+%28Textiles%29%22">Thread (Textiles)</searchLink><br /><searchLink fieldCode="DE" term="%22Electrochemical+sensors%22">Electrochemical sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Saliva+analysis%22">Saliva analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Microfluidics%22">Microfluidics</searchLink><br /><searchLink fieldCode="DE" term="%22Point-of-care+testing%22">Point-of-care testing</searchLink><br /><searchLink fieldCode="DE" term="%22Microsensors%22">Microsensors</searchLink><br /><searchLink fieldCode="DE" term="%22Cellulose+fibers%22">Cellulose fibers</searchLink><br /><searchLink fieldCode="DE" term="%22Lactates%22">Lactates</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The advancement of wearable and point-of-care (POC) biosensing technologies has driven a growing demand for microfluidic substrates that are flexible, hydrophilic, and compatible with electrochemical sensing. In this study, a lyocell-based thread microfluidic platform was developed to overcome limitations of conventional microfluidic systems. The device employs polypropylene (PP) mesh as a structural substrate and is coupled with a modal absorption pad to sustain consistent and continuous liquid transport. Lyocell's inherent capillary-driven wicking, superior hydrophilicity, semicrystalline microstructure, and high wet modulus collectively provide excellent liquid transport efficiency, structural stability under wet conditions, and bubble-free flow. Experimental analysis revealed that unmodified lyocell achieved liquid transport velocities comparable to plasma-treated cotton, confirming its intrinsic capillary efficiency. When integrated with a microneedle-based electrochemical sensor, the device demonstrated rapid analyte delivery and stable signal generation for both ferrocyanide and lactate detection. The thread-integrated lactate sensor exhibited a strong log-linear correlation, with limits of detection (LoD) of 0.433 mM using chronoamperometry (CA) and 0.51 mM using differential pulse voltammetry (DPV). Human saliva testing was also conducted using saliva samples, and the results were compared with blood lactate concentrations. A strong correlation was observed between salivary and blood lactate levels (R = 0.94). Overall, the lyocell–modal hybrid microfluidic platform provides a sustainable, low-cost, and scalable strategy for electrochemical point-of-care testing (POCT), offering a promising route toward next-generation lab-on-fabric systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Lab on a Chip is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1039/d5lc01063b Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 2804 Subjects: – SubjectFull: Thread (Textiles) Type: general – SubjectFull: Electrochemical sensors Type: general – SubjectFull: Saliva analysis Type: general – SubjectFull: Microfluidics Type: general – SubjectFull: Point-of-care testing Type: general – SubjectFull: Microsensors Type: general – SubjectFull: Cellulose fibers Type: general – SubjectFull: Lactates Type: general Titles: – TitleFull: Lyocell–modal thread microfluidic platform integrated with a microneedle sensor for lactate detection in saliva. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ding, Ling – PersonEntity: Name: NameFull: Zhang, Huizi – PersonEntity: Name: NameFull: Li, Yao – PersonEntity: Name: NameFull: Kameoka, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 05 Text: 5/5/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14730197 Numbering: – Type: volume Value: 26 – Type: issue Value: 9 Titles: – TitleFull: Lab on a Chip Type: main |
| ResultId | 1 |