Amendment LXXXI: Microbial Coherence and Antibiotic Resistance Gene Persistence in Wastewater Treatment -- McCaul's Law of Coherence Applied to the ARG Domain
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2026
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| _version_ | 1866901630630232064 |
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| author | McCaul, Justin |
| author_facet | McCaul, Justin |
| contents | Amendment LXXXI applies McCaul's Law of Coherence (Omega = Phi) to antibiotic resistance gene (ARG) persistence in wastewater treatment systems. The Nr (Noise Resistance) pillar is identified as a direct mechanistic match for ARG function: resistance genes ARE Nr elevation in biological systems. Phi_sludge is calculated from six standard WWTP proxy measurements (VSS/TSS, COD removal, turbidity NTU, ARG copy number, SRT, SVI). Simulation results: Phi_sludge predicts ARG log-removal with R2=0.86 across 5 SRT conditions (2-40 days), reproducing the Walston (2013) paradox -- the non-monotonic SRT-removal curve is explained as a Phi-coherence trajectory. ARG enrichment onset predicted at Phi_sludge > 0.814 (SRT approximately 18-22d). ARG strain (blaTEM, pUC19) predicted to survive chlorination 3.5x longer than isogenic WT (0.54 log difference at 2.0 mg/L Cl2). All predictions are preregistered with explicit falsification criteria. A two-phase lab protocol is designed for validation using equipment available at the City of Tempe Water Quality Lab, proposed in collaboration with Stefan Walston, M.S. (City of Tempe / University of Arizona). Phase 1 requires zero new lab work -- retrospective analysis of Walston 2013 thesis data. All results triple-verified: Method A first principles, Method B dimensional analysis, Method C Monte Carlo N=100000. Amendment 81 of 81. Master DOI: 10.5281/zenodo.20100469. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20276942 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
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| spellingShingle | Amendment LXXXI: Microbial Coherence and Antibiotic Resistance Gene Persistence in Wastewater Treatment -- McCaul's Law of Coherence Applied to the ARG Domain McCaul, Justin antibiotic resistance genes wastewater treatment McCauls Law coherence field scoring solids retention time ARG persistence Nr pillar Phi scalar qPCR bioreactor horizontal gene transfer preregistered predictions microbial ecology Amendment LXXXI applies McCaul's Law of Coherence (Omega = Phi) to antibiotic resistance gene (ARG) persistence in wastewater treatment systems. The Nr (Noise Resistance) pillar is identified as a direct mechanistic match for ARG function: resistance genes ARE Nr elevation in biological systems. Phi_sludge is calculated from six standard WWTP proxy measurements (VSS/TSS, COD removal, turbidity NTU, ARG copy number, SRT, SVI). Simulation results: Phi_sludge predicts ARG log-removal with R2=0.86 across 5 SRT conditions (2-40 days), reproducing the Walston (2013) paradox -- the non-monotonic SRT-removal curve is explained as a Phi-coherence trajectory. ARG enrichment onset predicted at Phi_sludge > 0.814 (SRT approximately 18-22d). ARG strain (blaTEM, pUC19) predicted to survive chlorination 3.5x longer than isogenic WT (0.54 log difference at 2.0 mg/L Cl2). All predictions are preregistered with explicit falsification criteria. A two-phase lab protocol is designed for validation using equipment available at the City of Tempe Water Quality Lab, proposed in collaboration with Stefan Walston, M.S. (City of Tempe / University of Arizona). Phase 1 requires zero new lab work -- retrospective analysis of Walston 2013 thesis data. All results triple-verified: Method A first principles, Method B dimensional analysis, Method C Monte Carlo N=100000. Amendment 81 of 81. Master DOI: 10.5281/zenodo.20100469. |
| title | Amendment LXXXI: Microbial Coherence and Antibiotic Resistance Gene Persistence in Wastewater Treatment -- McCaul's Law of Coherence Applied to the ARG Domain |
| topic | antibiotic resistance genes wastewater treatment McCauls Law coherence field scoring solids retention time ARG persistence Nr pillar Phi scalar qPCR bioreactor horizontal gene transfer preregistered predictions microbial ecology |
| url | https://doi.org/10.5281/zenodo.20276942 |