The form of an aircraft wastewater surveillance system for public health surveillance (e.g., number of airports, number of flights to be sampled, required analytical endpoint, time to results, etc.) will ultimately be determined by its intended purpose, which could evolve over time and space. The scoping model developed in a previous section indicates a throughput of up to hundreds of weekly flights per airport for routine surveillance of international travelers. Accommodating this volume would most likely require automation and a high -throughput analytical workflow, e.g., using robotic liquid handlers and high-affinity capture technologies that couple seamlessly to detection/quantification technologies. A variety of concentration methods have been used for SARS-CoV-2 in aircraft wastewater, including electronegative membrane filtration, centrifugal ultrafiltration, Concentrating Pipette, syringe filter, PEG precipitation, and in one case no concentration (i.e., direct extraction). However, the throughput required for scaling must remain a key consideration [
58]. Affinity capture magnetic nanoparticles have proven effective for high-throughput SARS-CoV-2 capture from municipal wastewater and for aircraft wastewater analysis [
66,
78].
If aircraft wastewater sampling results will be used to inform follow-up diagnostic testing of individual passengers or quarantine, the time to results for the selected workflow must be carefully considered [
60]. To circumvent some of the logistical difficulties associated with moving samples in and out of secure areas and shorten the time to results, it may be possible to set up small scale laboratories at key airports within the air travel network. For rapid response capabilities, it may be feasible to devise a mobile microbiology laboratory within a unit load device container that can be conveniently transported by wide body aircraft and readily deployed for aircraft wastewater surveillance at airports worldwide. Even inflight sample sequencing has been suggested based on the near real-time analysis in response to Ebola virus [
60,
79]. No matter what workflow (pre-treatment, concentration, extraction) is used, the end point analytical method must achieve the appropriate sensitivity and specificity for the public health decisions or interventions to be made. Thus, any aircraft wastewater surveillance system must be carefully designed with the desired actionable decision in mind. In general, there are two categories of analysis available–target specific methods and target agnostic methods.
Target specific methods include techniques typically used for diagnostic assays including PCR-based techniques (qPCR, RT-qPCR, dPCR, etc.). These techniques have been widely used for wastewater surveillance. While they can be very sensitive and specific, they require the design of reagents specific to the target of interest
a priori, which precludes their usefulness for measuring unknown targets such as an entirely novel pathogen. Additionally, many qPCR platforms only allow testing for up to six targets simultaneously in a single experimental run. Nonetheless, PCR-based techniques could be very useful for sensitive screening of aircraft wastewater for known pathogens, especially in highly parallel and multi-target formats such as TaqMan array cards (TAC), fluidigm BioMark HD real-time PCR or microarrays [
80,
81]. Other analytical techniques that warrant further investigation include loop-mediated isothermal amplification (LAMP) and helicase-dependent amplification (HDA) which can return results in shorter time frames and have been implemented on lateral flow test strips in clinical and environmental settings [
82,
83,
84]. More novel techniques that could become relevant include mass spectrometry for the detection of proteins relevant to specific pathogens [
85], enzyme-linked immunosorbent assays (ELISA) to detect specific antibodies [
86], or clustered regularly interspaced short palindromic repeats (CRISPR)-based diagnostic assays [
87,
88].
In contrast to targeted diagnostic techniques (e.g., PCR, LAMP, CRISPR), next generation sequencing (NGS) can offer semi-targeted or even untargeted analytical capabilities [
89]. As has been previously suggested, such capabilities could be very desirable for broad genomic surveillance of aircraft wastewater [
90]. However, the strengths and limitations of these techniques must be carefully considered in light of the intended use. Compared to PCR techniques, sequencing techniques are often less sensitive, require more time to produce results, and are more costly [
91]. Sequencing approaches are diverse, but for wastewater surveillance they are typically either untargeted (shotgun metagenomic or metatranscriptomic), targeted (tiled amplicon-based approach to selectively amplify and sequence the genome of a pathogen of interest) or semi targeted (hybridized probe-capture methods) [
89]. Although proper implementation requires considerable expertise and care, the targeted method generates deep sequencing or amplicon-based (pseudo-targeted via amplification) depending on the intended analyte [
89]. Previous studies of aircraft wastewater have used shotgun sequencing techniques to characterize ARGs among bacteria [
58,
59]. Since bacteria are abundant in wastewater, shotgun sequencing is a reasonable approach for target agnostic characterization. In the case of viruses, which are much less abundant in wastewater, metagenomic or metatranscriptomic characterization often requires the use of enrichment probes as has been done for both municipal and aircraft wastewater [
60,
92]. These probes are often designed using a large database of genomic sequences to achieve inclusion of the broadest range of viruses possible [
60]. Sequences of newly emerging viruses may not be present in such databases and could be inadvertently excluded via enrichment probe techniques. Shotgun techniques have been applied to analyze the wastewater virome, but the resulting metagenomes are likely a conservative estimate of virus occurrence and diversity and identifying entirely novel genomes is less likely [
93,
94]. Many studies reporting the early detection of novel SARS-CoV-2 variants via municipal wastewater used enrichment probes or tiled amplicon-based sequencing (i.e., semi-targeted) [
95,
96,
97]. One study noted that without the use of a semi-targeted viral enrichment panel they only detected 40 SARS-CoV-2 read pairs despite starting with an average of approximately 4,400 GC [
97]. Just like PCR-based diagnostic assays, amplicon-based approaches require
a priori knowledge of the intended target genome. Therefore, semi-targeted amplicon-based techniques must be carefully considered for the detection of novel pathogenic viruses via wastewater, since the performance would depend on how much the novel genomic sequence diverges from the wild type sequences used to design the tiled primer sets. Every published NGS study of SARS-CoV-2 in aircraft wastewater to date has used tiled amplicon sequencing and alignment with existing databases to characterize the lineages present in the sample [
63,
64,
66]. While untargeted shotgun sequencing may yield detections for more abundant pathogens in aircraft wastewater, the detection of more rare pathogens may depend on the efficiency of viral probe capture panels for genomes that deviate from wild types [
89]. For this reason, the most reliable form of aircraft wastewater surveillance in the near term is most likely to be informed of emerging pathogens by clinical reporting with genomic characterization via clinical samples followed by rapid implementation of well-integrated PCR-based and targeted or semi-targeted NGS techniques.