Suppr超能文献

循环经济电化学:从工业后咖啡胶囊废料中制造用于咖啡因检测的增材制造原料。

Circular Economy Electrochemistry: Creating Additive Manufacturing Feedstocks for Caffeine Detection from Post-Industrial Coffee Pod Waste.

作者信息

Sigley Evelyn, Kalinke Cristiane, Crapnell Robert D, Whittingham Matthew J, Williams Rhys J, Keefe Edmund M, Janegitz Bruno Campos, Bonacin Juliano Alves, Banks Craig E

机构信息

Faculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, United Kingdom.

Institute of Chemistry, University of Campinas (Unicamp), 13083-859 Campinas, Säo Paulo, Brazil.

出版信息

ACS Sustain Chem Eng. 2023 Feb 6;11(7):2978-2988. doi: 10.1021/acssuschemeng.2c06514. eCollection 2023 Feb 20.

Abstract

The recycling of post-industrial waste poly(lactic acid) (PI-PLA) from coffee machine pods into electroanalytical sensors for the detection of caffeine in real tea and coffee samples is reported herein. The PI-PLA is transformed into both nonconductive and conductive filaments to produce full electroanalytical cells, including additively manufactured electrodes (AMEs). The electroanalytical cell was designed utilizing separate prints for the cell body and electrodes to increase the recyclability of the system. The cell body made from nonconductive filament was able to be recycled three times before the feedstock-induced print failure. Three bespoke formulations of conductive filament were produced, with the PI-PLA (61.62 wt %), carbon black (CB, 29.60 wt %), and poly(ethylene succinate) (PES, 8.78 wt %) chosen as the most suitable for use due to its equivalent electrochemical performance, lower material cost, and improved thermal stability compared to the filaments with higher PES loading and ability to be printable. It was shown that this system could detect caffeine with a sensitivity of 0.055 ± 0.001 μA μM, a limit of detection of 0.23 μM, a limit of quantification of 0.76 μM, and a relative standard deviation of 3.14% after activation. Interestingly, the nonactivated 8.78% PES electrodes produced significantly better results in this regard than the activated commercial filament toward the detection of caffeine. The activated 8.78% PES electrode was shown to be able to detect the caffeine content in real and spiked Earl Grey tea and Arabica coffee samples with excellent recoveries (96.7-102%). This work reports a paradigm shift in the way AM, electrochemical research, and sustainability can synergize and feed into part of a circular economy, akin to a circular economy electrochemistry.

摘要

本文报道了将咖啡机胶囊中的工业后废弃聚乳酸(PI-PLA)回收利用,制成用于检测真实茶和咖啡样品中咖啡因的电分析传感器。PI-PLA被转化为非导电和导电细丝,以生产完整的电分析电池,包括增材制造电极(AMEs)。电分析电池的设计是利用电池主体和电极的单独打印来提高系统的可回收性。由非导电细丝制成的电池主体在原料导致打印失败前能够被回收三次。制备了三种定制的导电细丝配方,其中PI-PLA(61.62 wt%)、炭黑(CB,29.60 wt%)和聚(琥珀酸乙烯酯)(PES,8.78 wt%)因其等效的电化学性能、较低的材料成本以及与较高PES负载的细丝相比具有更好的热稳定性和可打印性而被选为最适合使用的配方。结果表明,该系统在活化后能够检测咖啡因,灵敏度为0.055±0.001 μA μM,检测限为0.23 μM,定量限为0.76 μM,相对标准偏差为3.14%。有趣的是,在检测咖啡因方面,未活化的8.78% PES电极在这方面比活化的商业细丝产生了显著更好的结果。活化的8.78% PES电极能够检测真实和加标伯爵茶和阿拉比卡咖啡样品中的咖啡因含量,回收率极佳(96.7-102%)。这项工作报道了增材制造、电化学研究和可持续性协同作用并融入循环经济一部分的方式的范式转变,类似于循环经济电化学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6300/9945317/6ab09e37d398/sc2c06514_0002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验