Low cost, rapid and in situ accurate quantification of chloramines and ammonia

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Low cost, rapid and in situ accurate quantification of chloramines and ammonia National Environmental Monitoring Conference 2018 Merwan Benhabib, PhD VP Engineering

Chlorine + Ammonia Rate of formation depends on ph, temperature, time, and initial Cl2 : NH3 ratio

Chloramination for sanitation

Chloramination for sanitation Inorganic chloramines are alternate disinfectants to chlorine that Are recognized as a safer disinfectant forms significantly lower amount of toxic disinfectant byproducts does not contribute to taste or odor more stable in solution than free residual chlorine

Why optimize Control the ratio chlorine : nitrogen Avoid nitrification Guarantee treatment performance Respect EPA guidelines of 4 mg/l for chloramine Measured Residual (mg/l) 1:1 Chlorine added to water (Cl 2 :NH 3 N Ratio) => A method capable of continually, accurately and easily measure chloramine and ammonia is required

Current monitoring procedure GC/MS : Expensive Skilled labor required Dedicated system and team Time consuming Not deployable Colorimetric (EPA method 350.1): using ferrous diethyl p phenylenediamine (DPD) or leucocrystal violet (LCV) dyes: Interferences (Ca, Mg, organic amines, color absorbing compound) Lower performance than GC Speciation is technique dependant

Raman spectroscopy 1920s 1990s 2000s Optical telecomci[cations drove technology needed for portable, in line, and compact Raman spectroscopy But Raman is weak NR ~ 10-30 cm 2 /molecule 1 in 10 million photons 7

Surface Enhanced Raman Scattering (SERS) At a rough metal surface Increased field intensity Which means increased Raman signal SERS activity quantified by Enhancement Factor EF range: 1 10 10

Multi particle effects Nanoparticles (gold/silver) enable ppb-level detection Hot Spots

Analyte / substrate interaction The SERS effect requires an interaction at the surface within a couple nanometers Analyte must Interact with the substrate Interact with a linker molecule Change the properties of another SERS active molecule Gold/Silver nanoparticles: many options to control surface properties

Why not widely used? Achilles heel: reproducibility Variations in substrate properties Stochastic nanoparticle alignments One reviewer: SERS doesn t work OndaVia has made SERS a quantitative, repeatable method using: Internal standards Nanoparticle structure Surface modifications Intelligent software

Pioneering colorimetric SERS Most colorimetric dyes have an amine group > affinity with SERS substrate SERS coupled with internal standards can be applied to many colorimetric tests: Improve detection limits, accuracy Eliminate sample blanks, interferences Add speciation capability Examples: Selenium, ammonia, chlorinated solvents, lead, alcohols

Colorimetric SERS, Berthelot reaction 1 at basic ph 2 Benzoquinone chlorimine Indophenol 3 Sodium nitroferricyanide(iii)

Colorimetric SERS, Berthelot reaction Addition of Bleach => Ammonia measurement No Bleach => Chloramine measurement Berthelot dye: Salicylate instead of phenol > Not hazardous

Colorimetric SERS enables trace level lab grade measurement Internal standard: 15 NH 3 => self calibration Sample with 15 NH 3 only Sample with 15 NH 3 and NH3

A 15 min standard operating procedure 1. Mix 0.5 ml sample with 0.5 ml I.S. 2. Add 50 ul of reagents (mixture of sodium salicylate, nitroprusside, citrate and base) 3. Add Bleach for Ammonia measurement 4. Heat for 10 min in 70C water bath 5. Mix with Nanoparticles 6. Measure

Raman spectrometer equipment Instrumentation 785 nm, 60 mw at substrate Cooled ( 20 C) CCD detector 200 2000 cm 1, 4 cm 1 resolution

Lab Standard Calibration Curve Range of interest 0 15ppm (as N) Accurate quantification RSD<5%. (Internal standard => self calibration) 20 Concentration Predicted (ppm as N) 15 10 5 0 y = 1.0398x + 0.0723 R² = 0.9985 0 5 10 15 Known concentration (ppm as N)

Quantitative analysis in tap water Predicted Concentration (ppm as N) 18.00 16.00 14.00 12.00 10.00 8.00 6.00 4.00 2.00 0.00 0.00 5.00 10.00 15.00 20.00 Expected concentration (ppm as N)

Ultra compact solid state spectrometer Instrumentation 785 nm, 50 mw, 10 um slit, No temp control APS CMOS Detector 200 2000 cm 1, 5 cm 1 resolution

2 Relative intensity at 1530cm 1 1.5 1 0.5 0 y = 0.0644x + 0.445 R² = 0.987 0 5 10 15 Known concentration (ppm as N)

Summary & Future Directions The successful results obtained in lab settings for standards and field samples demonstrates: No pretreatment necessary Low cost, rapid and deployable Repeatable accuracies similar to IC Robust to interferents (Ca, Mg, amines) Next : Pilot: looking for users Continue to work on the portability of the analysis Develop an In line system Measure of Di Trichloramines (CDC SBIR, chlorine in pool => asthma) 22

Special thanks to Kristle Cruz Garcia Mayra Zaragoza Melissa Yao Mark Peterman, PhD George Janssen And to

Questions? Thanks to NEMC Merwan Benhabib merwan@ondavia.com http://www.ondavia.com