Given the ubiquity of electronic devices and the urgent need to decrease our footprint in the context of global warming and planetary boundaries, it becomes critical to better quantify the environmental impacts of integrated circuit (IC) production. Our work addresses this question in three successive steps. First, we carry out a review of the data available since 2010 from four different literature categories, i.e., foundry reports, industry roadmaps, scientific literature, and life-cycle assessment databases. Then, we leverage the 27 identified sources to perform both a qualitative and quantitative analysis. We propose 10 features for characterizing the scope of studies while focusing on environmental indicators normalized per cm, i.e., energy consumption, carbon footprint and water consumption. The analysis results highlight a clear increasing trend of the environmental footprint with CMOS technology downscaling below 0.13 μm, despite a significant variation between the sources mainly due to scope mismatch. Finally, we show that environmental impacts per cm did not significantly decrease compared to historical values from 1980–2010, whereas the total silicon area produced keeps on increasing by 3.6%/year. Consequently, this work calls for urgently rethinking the road ahead with sobriety to effectively decrease the absolute environmental footprint of the IC production sub-sector.

Information and communication technologies are often considered by policymakers, industrial stakeholders and scientists as a key lever in the run towards sustainability, since they should ease energy efficiency and dematerialization. In this opinion article, nurtured by the inputs of a broad panel of experts, we challenge this widely spread view by highlighting the detrimental social and environmental footprints caused by digital technologies. We further take a critical look on the ways innovation is conducted nowadays, i.e., with an almost exclusive focus on performance and few considerations for externalities. This leads us to call for academic teaching programs advocating for a holistic approach, for new business models, and for ambitious political decisions able to drive a paradigm shift in the mainstream agenda of electronics innovation and digital transition that shall significantly contribute to the well-being of everyone, everywhere, without compromising future generations. We conclude that digital technologies cannot support long-term sustainability if their only purpose remains the optimization of the current system.

Rapid and precise diagnostic techniques are essential for identifying foodborne pathogens, including Bacillus cereus (B. cereus), which poses significant challenges to food safety. Traditional detection methods are limited by long incubation times and high costs. In this context, gold nanoparticle (AuNP)-based lateral flow assays (LFAs) are emerging as valuable tools for rapid screening. However, the use of antibodies in LFAs faces challenges, including complex production processes, ethical concerns, or variability. Here, we address these challenges by proposing an innovative approach using bacteriophage-derived proteins for pathogen detection on LFAs. We used the engineered endolysin cell-wall-binding domain (CBD) and distal tail proteins (Dit) from bacteriophages that specifically target B. cereus. The protein-binding properties, essential for the formation of efficient capture and detection biointerfaces in LFAs, were extensively characterized from the microstructural to the LFA device level. Machine-learning models leverage knowledge of the protein sequence to predict advantageous protein orientations on the nitrocellulose membrane and AuNPs. The study of the biointerface binding quantified the degree of attachment of AuNPs to bacteria, providing, for the first time, a microscopic model of the number of AuNPs binding to bacteria. It highlighted the binding of up to one hundred 40 nm AuNPs per bacterium in conditions mimicking LFAs. Eventually, phage proteins were demonstrated as efficient bioreceptors in a straightforward LFA prototype combining the two proteins, providing a rapid colorimetric response within 15 min upon the detection of 10⁵ B. cereus cells. Recombinantly produced phage binding proteins present an opportunity to generate a customizable library of proteins with precise binding capabilities, offering a cost-effective and ethical alternative to antibodies. This study enhances our understanding of phage protein biointerfaces, laying the groundwork for their utilization as efficient bioreceptors in LFAs and rapid point-of-care diagnostic assays, thus potentially strengthening public health measures.

Paper substrates are promising for development of cost-effective and efficient point-of-care biosensors, essential for public healthcare and environmental diagnostics in emergency situations. Most paper-based biosensors rely on the natural capillarity of paper to perform qualitative or semi-quantitative colorimetric detections. To achieve quantification and better sensitivity, technologies combining paper-based substrates and electrical detection are being developed. In this work, we demonstrate the potential of electrical measurements by means of a simple, parallel-plate electrode setup towards the detection of whole-cell bacteria captured in nitrocellulose (NC) membranes. Unlike current electrical sensors, which are mostly integrated, this plug and play system has reusable electrodes and enables simple and fast bacterial detection through impedance measurements. The characterized NC membrane was subjected to (i) a biofunctionalization, (ii) different saline solutions modelling real water samples, and (iii) bacterial suspensions of different concentrations. Bacterial detection was achieved in low conductivity buffers through both resistive and capacitive changes in the sensed medium. To capture Bacillus thuringiensis, the model microorganism used in this work, the endolysin cell-wall binding domain (CBD) of Deep-Blue, a bacteriophage targeting this bacterium, was integrated into the membranes as a recognition bio-interface. This experimental proof-of-concept illustrates the electrical detection of 10⁷ colony-forming units (CFU) mL⁻¹ bacteria in low-salinity buffers within 5 min, using a very simple setup. This offers perspectives for affordable pathogen sensors that can easily be reconfigured for different bacteria. Water quality testing is a particularly interesting application since it requires frequent testing, especially in emergency situations.

Single-use biosensors such as lateral flow assays (LFAs) have transformed point-of-care (PoC) diagnostics, yet their environmental footprint is rarely considered during design. As deployment scales globally, this oversight raises pressing sustainability concerns. Although early integration of eco-design principles could reduce environmental burdens, biosensor developers lack practical tools to operationalize sustainability during early-stage development. This practical review proposes a quantitative, multi-scale design methodology that bridges materials selection and system-level performance. We compile environmental indicators for materials commonly used in biosensors and conduct a PRISMA-based review of life-cycle assessments, revealing distinct orders of magnitude in carbon footprint across LFAs, instrumented devices, and PCR-based systems. Building on these findings, we introduce the Environmental Cost of Performance (ECoP), a simplified eco-design metric that links analytical sensitivity to environmental impact and reframes conventional performance-driven technology roadmaps into performance-impact trade-off approaches. This practical review is intended to serve as a quantitative toolbox, enabling scientists to integrate eco-design principles into their development practices and to arbitrate between design options using operational environmental metrics. In doing so, it represents a first step beyond generic sustainability claims, paving the way for broader impact assessments that integrate environmental, economic, and societal dimensions into PoC diagnostic innovation.

Paper substrates have shown a high potential for development of cost-effective and efficient point-of-care biosensors, essential for public healthcare and environmental diagnostics. Most paper-based biosensors rely on qualitative colorimetric detection schemes with high limits of detection. To overcome this limitation, technologies that combine paper-based substrates and electrochemical detection are being developed to allow for quantification and achieve better performances. In this work, we explore the potential of dielectric measurements towards electrical detection of whole-cell bacteria in nitrocellulose membranes, a paper-derivative. Impedance spectroscopy was considered to characterize the membranes with and without Bacillus thuringiensis cells, used as model microorganism. To specifically target this bacterial strain, phage endolysin cell-wall binding domain (CBD) encoded by a bacteriophage targeting B. thuringiensis were prepared and integrated into the membranes as recognition biointerface. The fluid sample containing the bacteria is conducted in the membrane through passive capillarity, and the bacteria are specifically immobilized in the test zone. Resulting changes of the dielectric properties of the membrane are sensed through impedance changes, highlighting the contribution of ions in the bacterial detection mechanism. This experimental proof-of-concept illustrates the electrical detection of 10⁸ CFU/mL bacteria in low-salinity buffers within 5 min.