Friday, June 19, 2015

Touring the Tomato: A Suite of Chemistry Laboratory Experiments

Touring the Tomato: A Suite of Chemistry Laboratory Experiments

Sayantani Sarkar , Subhasish Chatterjee , Nancy Medina , and Ruth E. Stark *
Department of Chemistry, City College of New York, Graduate Center and Institute for Macromolecular Assemblies, City University of New York, New York, New York 10031, United States
J. Chem. Educ., 2013, 90 (3), pp 368–371
DOI: 10.1021/ed3004148
Publication Date (Web): December 14, 2012
Copyright © 2012 The American Chemical Society and Division of Chemical Education, Inc.

Supporting Documents (22 pages): Contains the complete student experimental handout for each of the 7 experiments; notes to instructor; sample experimental data; and detailed notes about reagents, hazards, equipment, and procedures.




This article is 3 years old but nevertheless it presents an interesting series of experiments that utilize various analytical and spectroscopic methods and instrumentation to study the chemical composition of the tomato fruit.  While the experiments described constitute a full laboratory course, its modular nature allows adaptability and modification for implementing single labs or as part of a workshop series. In particular, the authors and developers believe that Modules 1-5 can be implemented at all levels including high school chemistry (see supporting information).  The experiment modules were piloted as a summer course for college-bound high school students who have taken 1 year of biology and chemistry.  The only instrument that LPC does not have is the AFM; we also may not have the capability to do solid state NMR but FT-IR can be substituted for this.

The tomato is an important agricultural product and a mainstay of many meals, both American or otherwise. It contains quite a diversity of families of compounds that are amenable to well-established and documented analytical methods: water, lipid waxes, lycopene pigments, and distinctive polysaccharide and polyester biopolymers.

This paper describes a modular laboratory course designed to teach students and provide hands-on applications of different experimental techniques including “UV−vis spectroscopy, high performance liquid chromatography (HPLC), nuclear magnetic resonance (NMR) spectroscopy, and atomic force microscopy (AFM) to examine various chemical constituents of the tomato fruit.” The techniques employed span the fields of general, analytical, biophysical, biochemical, and organic allowing macroscopic, microscale, and molecular analysis of the tomato.  See Table 1 in the article for a list of the 8 experiments.  The first five of these experiments focus on the study of the tomato’s macroscopic properties, followed by submicroscopic analysis of molecular properties through AFM and NMR analyses.  The lab design is also amenable to analysis of other fruits or vegetables or engineered polymers.

EQUIPMENT
·         The following list of equipment is required to carry out the experiments as described in this paper and in the supporting information: analytical balance, drying oven, incubator−shaker, UV−vis spectrophotometer, HPLC, NMR spectrometer, and atomic force.

EXPERIMENTS
Figure 1 in the article provides a graphical illustration of the 8 modules of analysis.
Experiment 1: determination of the mass percent of water in the tomato by oven drying
Experiments 2 - 5: analysis of the wax content of tomato skin.  Peeled skins are subjected to enzymatic reaction with cellulase and pectinase to remove cellulose and pectin from the cell wall components.   Thickness measurement of cuticle is done using calipers.  UV-vis absorption spectroscopy or HPLC can then be used to characterize the lycopene pigment extracted.  Solvent extraction collects the wax for analysis using solution state NMR and re-measurement of and change in cuticle thickness.
Experiments 6 – 7: AFM and NMR are used to study the microscale surface technology and molecular composition of cuticles, respectively.

Details of the experimental procedures are provided in the supporting documents.

HAZARDS
See article.

REPRESENTATIVE RESULTS (See supporting information for more detailed results)

MODULE 1: The water content measured average about 90% by mass. Rate of water loss was higher for the cut tomato at 75% after 3 hours compared to 55% for whole tomato.

MODULES 2 and 3:  Cuticle thickness caliper measurements showed that the wax adds some thickness to the cuticle.

MODULE 4: Lycopene absorption was detected at 471 nm using UV-Vis. This and HPLC results were compared to results for commercial lycopene for confirmation.

MODULE 5: The macroscopic appearance of extracted cutins from cuticle was similar.

MODULE 6:  NMR analysis revealed fingerprint spectra for alkane, alkanol, alkene, alkanoic acid, sterol, and triterpenoid molecular groupings.

MODULE 7: AFM study showed topographical and surface roughness properties.


DISCUSSION: the significance of the lab, its adaptability to various student levels, and the benefits to students are discussed briefly.  See article.






Determination of Plant Volatiles Using Solid Phase Microextraction GC–MS

Determination of Plant Volatiles Using Solid Phase Microextraction GC–MS

Scott Van Bramer * ,
Department of Chemistry, Widener University, One University Place, Chester, Pennsylvania 19013, United States
Katherine R. Goodrich
Department of Biology, Widener University, One University Place, Chester, Pennsylvania 19013, United States
J. Chem. Educ., 2015, 92 (5), pp 916–919
DOI: 10.1021/ed5006807
Publication Date (Web): January 30, 2015
Copyright © 2015 The American Chemical Society and Division of Chemical Education, Inc.

Supporting Documents (9 pages): Student Instructions Handout detailing the experimental steps and post-lab questions and activities; experimental modifications, background information on mass spectroscopy and SPME, grading rubric for notebook, report, and presentation.



This paper describes an SPME/GC-MS experiment that might be suitable for introducing Chemistry students to chemical aspects of plant biology or providing biology students a taste of analytical chemistry.  The authors describe the extraction, characterization, and analysis of volatile chemicals from plants.

SPME involves the use of a silica fiber coated with a GC column stationary phase.  The fiber is exposed to the plant extract solution or head space to let the chemical components adsorb on the surface.  The fiber is then inserted into the injection port of the GC where the hot temperature volatilizes the chemical mixture.  The mixture is separated into its components as it travels through the GC column. Each component can then be identified using MS analysis.

Use of SPME in both laboratory teaching setting and research is well-documented.

Flowers and vegetative tissue emit volatile molecules sometimes when wounded.  These volatile compounds can function to “attract or deter other organisms in the environment such as insect pollinators or herbivores”.

The volatile components can be collected by wrapping low-volatile plastic bags around live plant tissue.  The SPME fiber can be inserted inside the bag to collect sample.

Some expected chemicals that are amenable to MS analysis include terpenoids, aliphatics, and benzenoids.  Linalool and ocimene can also be expected from a broad selection of plants.

The experiment described was done as a 3-hour lab in an Instrumental Analysis class for chemistry majors.

EXPERIMENT
Some procedural notes below:
·         Students collected plant samples (flowers or vegetation) from the campus.  Fresh sample have to be run because the volatile compound profile changes over time as plant tissue senesces and dies.
·         Experimental conditions for sample collection, fiber loading, and GC-MS analysis were cited in the reference. (See student instruction sheets in the supporting document for procedure.)
·         The cut samples were sealed in low volatile oven bags for about 15 minutes.  The SPME fiber was inserted and exposed to the accumulated gas for 15 minutes.
·         An HP GC-MS was used in the experiments; the GC-MS parameters are provided in the supporting information.
·         As a post-lab activity, students were asked to select several compounds identified in the analysis and do literature research and presentation on it.

HAZARDS
None noted.

RESULTS
·         Table 1 in the paper lists the most common compounds identified in the analysis: monoterpenes, sesquiterpenes, aliphatic compounds, and benzenoid compounds.  Biosynthesis of these compounds are well-documented.

DISCUSSION
·         Sample components were characterized by 5 or more large chromatogram peaks and many other smaller peaks.
·         Coordination between sample prep and scheduling of GC-MS use to run analysis on fresh samples was a logistics challenge even though the class only had 7 students.
·         Another significant challenge was acquiring good NIST library matches. In many cases, this required students carrying out background subtractions, signal averaging, and extracted ion chromatograms to get a clean mass spectrum for matching.
·         The culminating student presentations included information on sampling methodology, GC-MS data analyses, compound identification, and background information.  Students were surprised to see that some of the compounds they identified from their sample showed up in other students’ samples as well.

CONCLUSIONS
·         Some suggestions for modifications are given (can also be found in the supporting documents).







Separation of Caffeine from Beverages and Analysis Using Thin-Layer Chromatography and Gas Chromatography–Mass Spectrometry

Separation of Caffeine from Beverages and Analysis Using Thin-Layer Chromatography and Gas Chromatography–Mass Spectrometry

Janelle L. Torres y Torres *, Shauna L. Hiley , Steven P. Lorimor , Jonathan S. Rhoad , Benjamin D. Caldwell , Gerald L. Zweerink , and Michael Ducey
Chemistry Department, Missouri Western State University, St. Joseph, Missouri 64507, United States
J. Chem. Educ., 2015, 92 (5), pp 900–902
DOI: 10.1021/ed500977r
Publication Date (Web): April 14, 2015
Copyright © 2015 The American Chemical Society and Division of Chemical Education, Inc.

Supporting Documents (17 pages) include the student experiment handout, notes to instructor, and retention times for GC results for 9 different types of beverages.

ABSTRACT: http://pubs.acs.org/doi/abs/10.1021/ed500977r

This paper by chemistry faculty describes a series of experiments designed to analyze the caffeine content of a commercial beverage product using a suite of instrumentation equipment.  The CAP series (Characterization and Analysis of a Product) involves a sequence of 5 experiments (CAPs 1 – 5) that General College Chemistry students conduct throughout the first semester.  Different beverage products that can be used include coffee, tea, soft drinks, or energy drinks.

CAP Experiment 1
·         The students examine the packaging and the contents of the container and note qualitative and quantitative observations.  They are then asked to come up with testable questions about the product including the packaging.
·         This part is done during the first week of the lab.
·         Students get to practice using vocabulary terms and applying the scientific method.
·         For each part of the CAP experiments, students work in groups of 3-4.

CAP Experiment 2
·         The goal of this experiment is to identify caffeine in the extract along with other compounds like flavoring agents using GC-MS and TLC.
·         Chemistry concepts covered in this experiment include: polar/nonpolar extraction through extraction, GC, TLC, and atomic structure and isotopes (chlorine peaks in mass spectra).
·         This takes at least 2 3-hour lab sessions, probably best after discussion of atomic mass and IMF.
·         See paper for the specific procedures described for the extraction process and the GC-MS and TLC analysis.
·         Reagents used: sodium carbonate, dichloromethane, caffeine standard in dichloromethane, methanol/ethyl acetate (HPLC grade solvents)

CAP Experiment 3
·         FT-IR analysis for caffeine and other components.
·         Not described in this paper.

CAP Experiment 4
·         Atomic absorption spectroscopy
·         Not described in this paper

CAP Experiment 5
·         Students design an experiment to test their testable question or hypothesis formulated in CAP Experiment 1.  This might include instrumentation use as well.
·         Not described in paper.

HAZARDS
·         The authors provide some safety precautions regarding reagent use and procedural steps.  Hazard warnings are given for the reagents used.

RESULTS AND DISCUSSION
·         The caffeine, a white powder in pure form, may come out slightly discolored a light yellow or beige.
·         TLC using the prescribed solvent was sufficient to resolve caffeine from vanillin.
·         Vanillin was identified by its mass spectrum.
·         For the GC−MS experiment, students record information for each compound identified to an 80% or better match to the spectral library, including the compound name, scan number, retention time, the library reference spectrum number, and the percent identity or “quality” of the match.
·         Students use the mass spectrum to observe the peaks for chlorine isotopes and calculate percent abundance of each.


The material footprint of nations

The material footprint of nations

Thomas O. Wiedmanna, Heinz Schandlb, Manfred Lenzenc, Daniel Moranc, Sangwon Suhf, James West, and Keiichiro Kanemotoc,

Edited by Joan Martínez Alier, Autonomous University of Barcelona, Barcelona, Spain, and accepted by the Editorial Board August 1, 2013 (received for review November 30, 2012)

ABSTRACT and AUTHOR AFFILIATIONS: http://www.pnas.org/content/112/20/6271

In this paper, the authors aim to address a key question in sustainability science:  How many and which natural resources are needed to sustain a modern economy?  I chose this as one of the articles on my reading list because of my interest in scholarly analysis of what sustainability means.  It is a word that one hears often but, as of yet, I have not run into a definition that is quantitative.  Although this paper addresses sustainability in the context of resource use only (as opposed to energy use, waste production, species conservation, etc.), it does make an effort to resolve a definition of the term sustainability in a more quantitative way, at least for consumption practices.  One of the metrics that they looked at is the extent of decoupling between resource use and economic growth, presumably because this is an important first step in ensuring global sustainability while maintaining or developing standards of living.

The use of resources is one of the metrics that has a clear relationship to issues of sustainability, at least, in one definition.  The EU, OECD, and the UNEP all use the resource productivity ratio which is the gross domestic product divided by the domestic material consumption (GDP/DMC) as an indicator for sustainable development strategies.  GDP/DMC measurements in the last decade in most European countries and the OECD have shown an increasing value for the ratio indicating a decoupling of the economic growth from resource use.  The authors of the paper point out, however, that the DMC represents only “materials directly used by an economy (raw materials extracted from the domestic territory plus all physical imports minus physical exports).  It does not include the upstream raw materials related to imports and exports originating from outside of the focal economy.”

To account for the limitations of the GDP/DMC, in this study, the authors present the quantitative concept of “material footprint” (MF), a more comprehensive accounting system defined as “the global allocation of used raw material extraction to the final demand of an economy”.  This accounting method links the “beginning of a production chain (where raw materials are extracted from the natural environment) and its end (where a product or service is consumed).”

The MF for each country is calculated by taking the raw material equivalent (RME) of imports and adding that to the domestic extraction (DE) of the raw material of and subtracting the RME of exports.  The authors have the following to say about this new method:  “We essentially redefine resource productivity based on the MF and compare it with the conventional indicator based on DMC to assess the veracity of resource productivity indicators currently used to inform policies for sustainable resource and materials management. Viewed from a consumption perspective, the meaning of resource productivity thus changes to one that truly captures all upstream material movements along global supply chains.”

RESULTS
1.1. MF of Nations and International Trade in 2008.
The total global MF, which is equal to the total used DE of raw materials, amounted to 70 billion metric tons (Gt) in 2008. Forty-one percent of this amount (29 Gt) was indirectly associated with trade flows between the 186 countries studied in this research.

The export of goods and services accounted for 2/5 of all the global raw materials extracted.  This is more than the 10 Gt measured for direct physical trade of materials and products indicating that actual raw material extracted to support export of commodities exceed that of the physical flow of traded materials.  “The consumption-based MF includes raw material extractions in the trade balance even if some of the materials never actually leave the country of origin (particularly process wastes and auxiliary material flows).”

MF results for 12 countries and for all 186 countries are given in the paper and the supporting documents, respectively. 

Not surprisingly, China has the highest absolute MF, 60% from construction materials from rapid industrialization and modernization efforts in the last several years. It also has the highest MF from raw materials associated with exports, most of which are construction materials.

Australia has the highest per capita MF (35 t/cap) but the US, UK, Japan, and Chile are close and comparable (25 t/cap).

Figure 1 in the article breaks down the MF into RME of imports and exports for 12 countries.  The main RME categories are biomass, fossil fuel, metals, and construction minerals (see Table SI in the supporting information for a breakdown of each of these categories).

Lower standard of living and lower level of material consumption are correlated with lower MF values (below 15t /cap, India lowest at 3.7 t/cap).

Figure 2 shows a series of plots for different countries comparing the time change in DMC/cap versus MF/cap from 1990-2008.  The authors note that as countries “mature”, their MF/cap increases much more than the DMC/cap which shows a decline for some countries.  DMC/cap values afor resource exporters like Australia, Russia, South Africa, and Chile are considerably larger than the MF/cap.  Why?  The answer came a paragraph later: “Nonexported mine tailings are included in DMC of the exporting country, whereas the MF allocates them to the importing (final demand) countries. DMC will therefore overestimate consumption for exporters of metals and biomass and underestimate it for importers of metals and biomass.”

“The difference between DMC and the MF can be explained by the fact that traded goods require much more material than what is physically incorporated in them. Wealthier countries’ imports of finished and semifinished products are linked to a larger amount of raw materials compared with the physical quantity traded.”

MF calculations shift the burden of raw material resource extraction to the importer (“ultimate consumer) and not the exporter (thus increasing DMC/cap and decreasing MF/cap for exporters; the opposite is true for large importers).

1.2. Reassessing Resource Productivity.

Sustainable growth aims for a decoupling of natural resource depletion and the associated environmental impacts of economic growth.  The DMC/GDP, which has been used as a metric for this decoupling, has shown a decrease from 3.6 kg/dollar in 1900 to 1.3 kg/dollar in 2005.  OECD data show that G8 countries have seen their DMC/GDP ratios go down by a half between 1990 and 2008.  Using this metric, Canada, Germany, Japan, and Italy have decoupled their economic growth from DMC in absolute terms.

Plots of relative changes in MF, GDP, and DMC from 1990 to 2008 (Figure 3), according to the authors, indicate no decoupling taking place, unlike intepretations of DMC/GDP.  The authors attribute this to increased indirect use and even dependency on construction materials.  It is notable that South Africa has decreasing values for both MF and DMC despite increasing GDP indicating absolute decoupling.


1.3 What Drives the MF of Nations?
Several studies cited in the paper have shown that affluence and other factors are primary drivers of consumption-based indicators , such as land, carbon, energy, ecological footprint, water footprint, and resource use.

The authors explored the answer to this question in the context of MF by carrying out a cross-country, multivariate regression analysis (for the year 2008) to find correlations if any between changes in MF and DMC and changes in three variables:

i) GDP-PPP-2005/cap as a proxy for the wealth (individual income) of nations.
ii) DE/cap as a measure for the actual production of raw materials. DE is related (although not equivalent) to the availability of natural resources and the ability for raw material production.
The main reason for choosing this variable was to test the hypothesis that DMC is more strongly influenced by DE than by the MF.
iii) Population density (population per area) as a proxy for the need to import materials from abroad, with the reasoning being that the ability to produce land-based raw materials (crops, fodder, and wood, as well as open-cast mining of minerals to some extent) might be dependent on the availability of unpopulated land.

Some analysis results specially noted by the authors:

A 10% increase in GDP/cap correlates with a 6% increase in MF/cap.
Changes in DMC/cap are mostly explained by changes in DE/cap; much lesser extent to GDP/cap [?].

The authors point out that “This result broadly confirms that products subsequently manufactured out of raw materials are traded with their material embodiment “in tow,” thus adding to the MF of consuming (importing) countries but not to their DMC”, adding that this is especially true for traded animal and dairy products which carry a large amount of upstream biomass (an order of magnitude greater than the actual biomass traded).  [I am not sure how data indicate this.]

On construction materials: “the ability of rich countries to buy products is indirectly dependent on construction materials from abroad; the construction component of the MF/cap is clearly explained by the GDP/cap (α = 0.86) and not at all by the DE/cap (β = 0.01). The DMC/cap of construction materials, on the other hand, is mainly explained by the DE/ cap (β = 0.80).”

Fossil fuels and metal ores: GDP/cap explains the rise for both the MF and the DMC metrics.

Population density shows no correlation (“lesser or mixed influence”) to resource use indicators.  The authors speculate that negative elasticities for metal ores suggest efficiency in use for high population density areas.

“What do these findings mean for resource productivity? Expressing the regression coefficients of resource productivity with income as 1 − α (SI Text), we find that total resource productivity increases less with income when measured on a GDP/MF basis (1 − α = 0.40) compared with a GDP/DMC basis (1 − α = 0.85). Mostly responsible for this difference are the biomass and construction material components. It is thought that high-income countries can achieve higher resource productivity because their
GDP is relatively more decoupled from biomass consumption than from other materials (23, 46), and possibly because demand for construction materials may reach a certain level of saturation [the case of steel is reported in ref. (57)]. However, the MF does not attest to such decoupling. As nations become richer, the change in their socioeconomic metabolism (from agricultural to industrial production) helps less to improve resource productivity than previously thought.”  These findings confirm previous findings that as nations get wealthier, biomass use increases along with a more meat-rich diet.

DISCUSSION
·         The authors note that the 70 billion t of raw material extracted is unprecedented and that RME/cap average of 10.5 t/cap in 2008 is the highest level seen.
·         41% of total global resource extraction (29 Gt) was associated with international trade flows in 2008.  Only 1/3 of these materials actually crossed borders; the environmental impacts of the resource extraction also stay with the net exporting countries.  The extraction along with processing and delivery of these resources involve environmental impacts such as water resource depletion, soil erosion, biodiversity loss, pollution through agrochemicals, mine tailings, and oil spillages. 

“The MF of nations reflects the increasing complexity and multicountry nature of global supply chains and is the appropriate indicator if the aim is to pinpoint the ultimate consumer responsibility of a country for impacts associated with raw material extractions worldwide.” The ability of the MF concept to allocate upstream material extractions to consuming countries provides a way to link between product/extraction and consumption.

The use of DMC as a metric does not take into account the full extent and burden shift of resource dependence and may limit decision making.  For instance, absolute decoupling based on the DMC metric may simply suggest increase in export and off-shoring of resource extraction:  “Developed nations experience an increase in imports of semifinished and finished products and a change in economic structure toward service economies, which add high value to the GDP. These trends make developed countries look more resource-efficient, but they actually remain deeply anchored to a material foundation underneath.”





















Wednesday, June 17, 2015

Material Flow Analysis of Carbon Nanotube Lithium-Ion Batteries Used in Portable Computers

Material Flow Analysis of Carbon Nanotube Lithium-Ion Batteries Used in Portable Computers

Vicente Sebastian Espinoza †, Serkan Erbis †, Leila Pourzahedi ‡, Matthew J. Eckelman *‡, and Jacqueline A. Isaacs †
† Department of Mechanical and Industrial Engineering and Center for High-rate Nanomanufacturing, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
‡ Department of Civil and Environmental Engineering, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
ACS Sustainable Chem. Eng., 2014, 2 (7), pp 1642–1648
DOI: 10.1021/sc500111y
Publication Date (Web): April 21, 2014
Copyright © 2014 American Chemical Society

Supporting documents (6 pages): high and low saturation demand curves for number of obsolete portable computers as a function of time and waste management rates for all US states using two scenarios


In this paper, the authors detail a study whose aim is to provide a quantitative assessment of managing waste (or material flow analysis) carbon nanotube (CNT) components now found in batteries used in portable computers.  Their goal is to provide a quantitative basis for understanding the waste, environmental impact, and recycling implications of carbon nanotube for use by company stakeholders and public policy makers.  They point out that the rate of commercial availability of emerging technologies will outpace the evaluation process for the end-of-life environmental impacts of these newly developed engineered materials.

Selecting this article is based on a couple of motivating interests:  one on learning about how a material flow analysis is done and the other curiosity about how waste material can be managed, ideally recycled or reused.

The Methods section define material flow analysis (MFA) as follows: “Material flow analysis (MFA) is a method used to describe, investigate, and evaluate the flows and accumulations of materials and substances through both the economy and the environment. MFA is based on a stock and flow model (principle of mass conservation), in which time step changes in stock are determined by tracking additions (flows in) and subtractions (flows out) to stock.”

The authors describe the derivation for the equation to estimate the mass of carbon nanotube material in obsolete personal computers (both desktops and laptops).  For details of the mathematical derivation, see paper.  The derivation began with the general equation for stocks and flows given by:

Stock of material or product in use in year i
= stock of material from previous year (i – 1) + input in year i – output in year i

Some of the assumptions and models used are (see paper for full details):
·         The number of input is estimated by multiplying the stock of material in use by the penetration rate of the product.
·         The number of obsolete products or output is calculated by multiplying the input from previous years by the probability that the product is obsolete after some number of years.  The authors used the number (from a previous study) of 0.5 after 3 years (average use span).
·         The authors used a model (technology substitution) from a previous study that estimate the fraction of portable computers using Li ion batteries in a given year containing CNT’s.
·         The number of exported obsolete computers were also taken into account and subtracted from the total obsolete numbers predicted by the model (this number was estimated at 871,000 in 2010).
·         To determine the mass of CNT, each Li ion battery is assumed to have between 3-5 cells, each one containing about 1 gram of multi-walled CNT’s.

Multiplying the gram amount of CNT’s in each obsolete computer that end up as output by the number of estimated obsolete computer, the mass of CNT’s in obsolete batteries can then be estimated.

The number of obsolete computers containing CNT was estimated for each state.  This was calculated using available data on the percentage use of portable computers by age group and age distribution in each state.

Scenario 1: Baseline estimation based on current rates of electronic waste recovery for recycling:
To predict the fate and how much of CNT’s end up incinerated, recycled, or landfilled, statistics on the disposition of electronic waste in each state was used.  State-specific recycling rates for electronic waste were estimated by dividing the quantities collected by national per capita electronic waste generation rates; for states without data, the national average of 16.4% was used.  The rest were assumed incinerated or landfilled “according to state proportions for solid municipal waste in 2008”.

Scenario 2: Using a national 85% recovery target by 2040 for all states and linear interpolation from current baseline.

These waste management rates are given in Tables S1 and S2 in the supporting documents.

RESULTS AND DISCUSSION:
The number of portable computers sold in each country was calculated based on the relative GDP of each country (relative to highest GDP) times its population.  This estimated a value for the US of 47 million units sold in 2009.

The penetration rate in the market for computers was estimated using a previous study and model and used to calculate the number of portable computers sold in the US using the 2009 data above to determine the error margin.

Prospective number of sales of portable computers and obsolete numbers generated were estimated (see numbers given in paper) with lower and upper bound values.  These numbers assume a 3-year average lifetime for portable computers.

The technology penetration of CNT Li ion batteries was estimated using the transition rate from non-CNT Li ion batteries in portable computers to CNT-containing portable computers calculated using the technology substitution model mentioned in the Methods section. This model has shown a good fit for desktop to laptop and from CRT to LCD display transitions. No statistical for CNT’s can be done, however, due to lack of historical data.  These calculations indicate a low-growth estimate of 100% after 25 years and a medium- to high-growth estimate of 100% market share in 12 – 18 years.
·         High technology transition case: nearly all obsolete portable computers (69 million untis) have CNT’s by 2029
·         Low to medium transition case: 2040 and 2036, respectively

These large numbers present a major concern due to the uncertainty in how these CNT’s will be have when recycled, incinerated, or landfilled.  Figure 3 shows the material flow curves for these CNT’s over time and the growth in annual waste flow using both scenarios of current recycling rates versus 85% recycling rate.  Some notable information from the curves:

·         A drop off in metric tonnes of CNT waste is predicted starting 2027 if the target recycling rate of 85% is implemented. 
·         At current recycling rates, the annual waste curve sees a flattening but with a slight increase at around 150 metric tonnes starting at around 2027. 
·         At the high technology transition scenario, a cumulative 3731 tonnes of CNT’s are expected in the next 25 years from just a few hundred kilograms at current amounts.  “If current recycling practices remain in place, of this cumulative total, 602 tons are projected to be collected, 288 tons incinerated, and 2842 tons landfilled nationally (Table S1, Supporting Information). For context, current use of CNTs in all electronics and optics applications is approximately 800 tons per year.”

UNCERTAINTIES, LIMITATIONS, AND OPPORTUNITIES FOR FUTURE WORK
“Technology forecasting is highly uncertain, and the present study makes a number of simplifying, mostly static, assumptions regarding the pace of technology development, consumer behavior, and the management of electronic waste in the United States.”
Some scenarios not considered in the assumptions include:
·         Storage or hibernation of obsolete computers which would delay the entry into waste flow
·         Reuse of batteries which is not very likely or frequent because refurbishment replaces the battery
·         Replacement of the battery during the 3-year lifetime average which will increase the estimated waste flow
·         Decrease in average lifetime use of computers due to accelerated technology improvements
·         The mass in grams of CNT per battery may change
·         Market disruptions will affect assumptions made using the logistic model

The authors end with the following concluding and summarizing paragraph:
“On the basis of the current state of technology, however, the scenario results presented here provide useful projections of the quantities and likely location of CNTs generated for an important component of electronic waste, which is information that can be used to plan investments in collection and recycling efforts and ensure safe and responsible handling and disposal measures.”




What Are Batteries, Fuel Cells, and Supercapacitors?

What Are Batteries, Fuel Cells, and Supercapacitors?
Chem. Rev. 2004, 104, 4245-4269

Dr. Martin Winter is currently University Professor for Applied Inorganic Chemistry and Electrochemistry at the Institute for Chemistry and Technology of Inorganic Materials, Graz University of Technology (Austria). His fields of specialization are applied electrochemistry, chemical technology and solid state electrochemistry with special emphasis on the development and characterization of novel materials for rechargeable lithium batteries.

Dr. Ralph J. Brodd is President of Broddarp of Nevada. He has over 40 years of experience in the technology and market aspects of the electrochemical energy conversion business. His experience includes all major battery systems, fuel cells, and electrochemical capacitors. He is a Past President of the Electrochemical Society and was elected Honorary Member in 1987. He served as Vice President and National Secretary of the International Society of Electrochemistry as well as on technical advisory committees for the National Research Council, the International Electrotechnic Commission, and NEMA and on program review committees for the Department of Energy and NASA.

While this article is more than 10 years old, I chose this as part of my reading list because it gives a thorough but clear overview of the different modes of energy storage and conversion.  While the materials and chemistries involved have progressed beyond the examples provided here, the fundamental principles have not changed much and still provide a context from which more current technical developments can be understood and appreciated.  Because it is a general overview, the article was very helpful in explicitly reviewing and defining many of the common terms used in electrochemistry. For instance, it thoughtfully pointed out the difference between a cell and a battery in clarifying the confusing language used in “fuel cell”: a cell is a single electrochemical power system also called an element while cells arranged in parallel constitute a battery.  Therefore, the use of “cell” in fuel cells is misleading.  Unless it is of relevance (labeled with ATTOW or at the time of writing), I skipped note-taking on discussions of what were then, at the time of writing, “current” technology and development as the article is old and a lot have happened in the more than ten years since the article was published.  My notes are limited to relevant fundamental content.  In retrospect, it would have been helpful to have read this article before reading the article on the Li-ion battery perspective as this article explains in a more explicit way many of the key terms and parameters discussed in the perspective.

Notes taken verbatim from the article to preserve the precision of the content are in italics.

1. Introduction
1.1. Batteries versus Fuel Cells versus Electrochemical Capacitors

Batteries, fuel cells, and capacitors are all forms of energy storage and conversion.  In these three devices, “the energy-providing processes take place at the phase boundary of the electrode/electrolyte interface and that electron and ion transport are separated.”  All three consist of two electrodes immersed in an electrolyte solution (see Figures 1 and 2).

In both batteries and fuel cells, electrical energy is derived from the chemical energy of spontaneous redox reactions.  A battery, however, is a closed system with the charge transfer taking place between the anode and cathode which participate in the redox reactions as active masses (participating in the chemical reactions that produce the current); the energy conversion and storage are integrated in the same compartment. In a fuel cell, the redox reactants are delivered externally (as fuel) and the electrodes act as charge transfer media and not active masses.  The energy is stored in the fuel tank and the conversion takes place in the fuel cell assembly. As a footnote, the authors point out that a cell is a single electrochemical power system also called an element while cells arranged in parallel constitute a battery.  Therefore, the use of “cell” in fuel cells is misleading.

In defining what electrochemical capacitors are, I use the authors’ description verbatim from the article:
In electrochemical capacitors (or supercapacitors), energy may not be delivered via redox reactions and, thus the use of the terms anode and cathode may not be appropriate but are in common usage. By orientation of electrolyte ions at the electrolyte/electrolyte interface, so-called electrical double layers (EDLs) are formed and released, which results in a parallel movement of electrons in the external wire, that is, in the energy-delivering process.

Of these three, batteries have the most commercial applications and market base. Supercapacitors are used in memory devices while fuel cells have found more exotic uses in space shuttles.

Metrics used for comparisons include:
The terms “specific energy” [expressed in watthours per kilogram (Wh/kg)] and “energy density” [in watt-hours per liter (Wh/L)] are used to compare the energy contents of a system, whereas the rate capability is expressed as “specific power” (in W/kg) and “power density” (in W/L). Alternatively, the attributes “gravimetric” (per kilogram) and “volumetric” (per liter) are used.

Technologies of existing batteries, fuel cells, and supercapacitors ATTOW put fuel cells in the high -energy category, the supercapacitors in the high-power category, and the batteries intermediate in both energy and power:

A plot of specific energy density places gasoline in the highest category of kWh/m3 and hydrogen gas with the highest kWh/tonne (Figure 4).  In both cases, current batteries much lower figures.

The authors provide the following approximations for comparing theoretical versus practical energy capacities: “The theoretical values in Figure 4 are an indication for the maximum energy content of certain chemistries. However, the practical values differ and are significantly lower than the theoretical values. As a rule of thumb, the practical energy content of a rechargeable battery is 25% of its theoretical value, whereas a primary battery system can yield >50% of its theoretical value in delivered energy.”  Fuel cells hold the best promise of >70% efficiency in providing electrical energy.  These differences in theoretical and practical energy storage capacities can be attributed to (verbatim from article):

(1) inert parts of the system such as conductive diluents, current collectors, containers, etc., that are necessary for its operation,
(2) internal resistances within the electrodes and electrolyte and between other cell/battery components, resulting in internal losses, and
(3) limited utilization of the active masses, as, for example, parts of the fuel in a fuel cell leave the cell without reaction or as, for example, passivation of electrodes makes them (partially) electrochemically inactive.

However, as batteries and fuel cells are not subject to the Carnot cycle limitations, they may operate with much higher efficiencies than combustion engines and related devices.

1.2 DEFINITIONS

The following terms used in the discussion of batteries, fuel cells, and capacitors are defined: battery, primary battery, secondary battery (or rechargeable or accumulator), specialty battery, anode, cathode, active mass, electrolyte, separator, fuel cell, electrochemical capacitor, open- and closed-circuit voltage, discharge, charge, internal resistance or impedance, Faraday constant F, thermal runaway,

Below are the verbatim definitions for the three devices discussed in this article for reference:

A battery is one or more electrically connected electrochemical cells having terminals/contacts to supply electrical energy.

A fuel cell is an electrochemical conversion device that has a continuous supply of fuel such as hydrogen, natural gas, or methanol and an oxidant such as oxygen, air, or hydrogen peroxide. It can have auxiliary parts to feed the device with reactants as well as a battery to supply energy for start-up.

An electrochemical capacitor is a device that stores electrical energy in the electrical double layer that forms at the interface between an electrolytic solution and an electronic conductor. The term applies to charged carbon-carbon systems as well as carbon battery electrode and conducting polymer electrode combinations sometimes called ultracapacitors, supercapacitors, or hybrid capacitors.

1.3 THERMODYNAMICS

Basic thermodynamic considerations apply to these electrochemical systems in the form of DG = DH – TDS.  TDS is the “heat associated with the organization/disorganization of materials”. 

Applied to electrochemical systems: DG = -nFE, the net useful energy.  The amount of electricity produced, nF, is determined by the total amount of materials available for reaction and can be thought of as a capacity factor; the cell voltage can be considered to be an intensity factor.
In a more precise expression (concentrations are used in General Chemistry in place of activities):
The van’t Hoff isotherm identifies the free energy relationship for bulk chemical reactions as
where R is the gas constant, T the absolute temperature, AP the activity product of the products and AR the activity product of the reactants.  This gives rise to the well-known Nernst equation:


Faraday’s laws, as summarized below, give the direct relationship between the amount of reaction and the current flow. There are no known exceptions to Faraday’s laws.

g is the grams of material transformed, I is the current flow (amps), t is the time of current flow (seconds, hours), MW is the molecular or atomic weight of the material being transformed, and n is the number of electrons in the reaction.

The reversible heat effect is given by:

Measuring the voltage as a function of temperature (dE/dT) allows prediction of heat change upon charge and discharge: a positive dE/dT indicates heating on charge and cooling on discharge.  Lead acid batteries have negative dE/dT while Ni-Cd have positive dE/dT.

The total heat released during cell discharge is the sum of the thermodynamic entropy contribution plus the irreversible contribution. This heat is released inside the battery at the reaction site on the surface of the electrode structures.


Heat release is an important consideration for high-rate operations requiring heat dissipation to avoid thermal runaway.


1.4 KINETICS

Thermodynamics describe reactions at equilibrium and the maximum energy release for a given reaction. Compared to the equilibrium voltage (= open circuit voltage, EOCV), the voltage drops off ( = “electrode polarization” or “overvoltage”) when current is drawn from the battery because of kinetic limitations of reactions and of other processes must occur to produce current flow during operation.

Kinetics of electrode reactions differ from general chemical reaction kinetics in two ways both stemming from structural factors:
(1) the influence of the potential drop in the electrical double layer at an electrode interface as it directly affects the activated couples and
(2) the fact that reactions at electrode interfaces proceed in a two-dimensional, not three-dimensional, manner.

The detailed kinetics of electrochemical systems involve consideration of the individual steps of the mechanisms which may include physical, chemical, and electrochemical steps, including charge-transfer and transport processes.  Polarization processes affect the kinetics in three different ways:
(1) activation polarization is related to the kinetics of the electrochemical redox (or charge-transfer) reactions taking place at the electrode/electrolyte interfaces of anode and cathode;
(2) ohmic polarization is interconnected to the resistance of individual cell components and to the resistance due to contact problems between the cell components;
(3) concentration polarization is due to mass transport limitations during cell operation.

The polarization can be quantified by:
 where EOCV is the open-circuit voltage of the cell and ET is the terminal cell voltage with a flowing current I.  Mathematical details of these polarization effects are given in the article.

Most battery electrodes are porous structures in which an interconnected matrix of small solid particles, consisting of both nonconductive and electronically conductive materials, is filled with electrolyte. Porous electrode structures are used to extend the available surface area and lower the current density for more efficient operation.


1.5 EXPERIMENTAL TECHNIQUES

Below are some of the experimental techniques employed to study electrochemical reactions in batteries:
1)      An instantaneous current-voltage measurement upon discharge illustrates the different polarization effects on the voltage (see figure 6) and is useful in determining cell capacity, effect of charge-discharge rate, and temperature and information on state of the battery
2)      Impedance behavior (see article for the detailed explanation)
Both of these are non-destructive methods. Spectroscopic methods can be used for a more detailed characterization of material change but requires “tearing down” the battery components.


1.6 CURRENT DISTRIBUTION AND POROUS ELECTRODES

Most practical electrodes are a complex composite of powders composed of
particles of the active material,
a conductive diluent (usually carbon or metal powder), and
a polymer binder to hold the mix together and bond the mix to a conductive current collector.

A typical composite battery has 30% porosity to increase the surface area for reactions and decrease polarization effects.  The pores are filled with electrolytes shortening diffusion path lengths to reaction sites on the electrode.

Ideally there is uniform distribution of current production on the surface to maximize efficiency and performance. Pure metallic electrodes such as zinc or lithium require minimum supporting conductive structures. See article for the key parameters determining reaction sites in porous electrodes.


2.1 INTRODUCTION AND MARKET PROSPECTS

There are three classes of batteries: primary (non-rechargeable), secondary (rechargeable), and specialty batteries (built for a special purpose).  The advantages and disadvantages of batteries are summarized in a table in the article copied below:

Table 1 in the article gives the market share in dollars of the different batteries available then (2004 values).


2.2 BATTERY OPERATIONS

Basic elements and operation are discussed in this section. 
Electrodes:
The negative electrode (anode) is a good reducing agent (source of electrons) like reactive metals lithium, zinc, or lead.  The positive electrode (cathode) should be a good oxidizing agent or electron acceptor such as lithium cobalt oxide, manganese dioxide, or lead oxide. 

Electrolyte:
The electrolyte should be a pure ionic conductor separating the anode from the electrode.  If the anode and the cathode come in contact, the battery shorts and the full energy from the redox reactions is released as heat in the battery.
The chemical stability of the electrolyte is limited to within certain voltage ranges beyond which (called the “window”), the electrolyte may start to decompose.  This window depends on the electrolyte composition and its purity.

Aqueous solvent-based systems generally have high conductivities (~1 S/cm) due to dielectric constant values that stabilized dissociated ions and high solvation capacities that produce hydrogen bridge bonds that promote hydrogen ion conductivity. The thermodynamic voltage stability window for aqueous systems is ~1.23 V which can go up to ~2 V due to kinetic effects.

Non-aqueous organic solvent-based system of lithium batteries have very low conductivities in the order of 10-3 to 10-2 S/cm due to lower dielectric constants and solvating power of organic solvents which promote ion pair formation even at low salt concentrations.  They are also more viscous.  The voltage stability window for organic solvents can be as high as ~4.6 V, beyond which decomposition or polymerization may occur.


2.3 CHARACTERISTICS OF COMMON BATTERY SYSTEMS

The article provides a list of the most common commercial battery systems that exist in 2004.  Figures 13 and 14 show the energy storage capabilities for common primary and secondary batteries.  In the next sections, the authors describe the charge/discharge mechanisms for common battery systems.


2.4 PRIMARY BATTERIES
Figure 15 shows schematic diagrams of the charge/discharge mechanisms of some common batteries.  In primary batteries, the products are stable and the reaction is not easily reversed and the battery is not rechargeable.

Li-CuS in 15a
During the cell reaction, Cu is displaced by Li to form stable Li2S and Cu.

Li battery of 15b
The Li electrode is discharged by oxidation to Li+ which goes into solution.  The battery can be recharged because Li+ can be reduced back to Li metal and redeposited. The Li redeposition is hampered by non-uniform, dendritic formations that can cause safety problems.

Lead battery of 15c
The lead electrode is discharged by oxidation to Pb2+.  Because of its low solubility in a sulfuric acid electrolyte solution, it precipitates out as PbSO4 at the reaction site on the electrode surface.  In the charge reaction, the PbSO4 dissolves and the Pb2+ is converted back to metallic Pb on the electrode surface.

Li ion battery of 15d
An insertion electrochemical reaction takes place which is “a solid-state redox reaction involving electrochemical charge transfer, coupled with insertion of mobile guest ions (in this case Li+ cations) from an electrolyte into the structure of a solid host, which is a mixed, that is, electronic and ionic, conductor (in this case graphite).”  This type has high reversibility because of structure and shape stability.  Good insertion electrodes must have high electronic and ionic conductivity.  For poor conductors like MnO2, highly conductive C can be mixed with the electrode matrix (15e).

Zn-MnO2 batteries
A detailed technical description of zinc manganese batteries (dominating the market on primary batteries) follow the brief summary above. The mutli-step discharge redox mechanisms for the alkaline type (KOH) are diagrammed in Figure 17.

Zn-air batteries
The Zn-air battery system has the highest energy density of all aqueous systems because only the zinc powder anode is contained in the cell and the oxygen is extracted from the surrounding air. The Zn-air energy density equals that of the lithium thionyl chloride battery which is the highest of the lithium batteries. The air electrode is a polymer bonded carbon sometimes with a manganese dioxide catalyst.  Aspirin-size batteries of this type are used in hearing aids.

Primary lithium metal batteries
This battery uses a reactive lithium metal anode that requires a solvent that would form a solid electrolyte interphase (SEI) protective layer.  The SEI layer should allow selective Li+ transport.  The anode undergoes a displacement reaction (Li «Li+) like in 15b and can generate voltages of up to ~3.7 V or higher (lithium has a strong negative potential).  Low lithium ion transport rate through the SEI and low conductivity of the nonaqueous electrolyte lower the rate capability [?]. Commercial types can have solid or liquid cathodes.  Examples of solid cathodes are carbon monofluoride, manganese dioxide, iron (IV) sulfide, and copper (II) sulfide. Examples of electrolytes include propylene carbonate – dimethyl ether, lithium triflate (LiSO3CF3), and lithium perchlorate.

Lithium thionyl chloride batteries
Thionyl chloride is both the electrolyte solvent and the soluble cathode.  The inorganic electrolyte us LiAlCl4 dissolved in SOCl2 (thionyl chloride).  Reaction between the lithium metal and the electrolyte produces an SEI layer of LiCl and S which are also the discharge reaction products at the carbon positive electrode (cathode) where thionyl chloride is reduced. See Figure 18 for a diagram.  Once the carbon electrode is completely covered with the electronically insulating discharge products, the reaction stops.

Lithium-sulfur dioxide battery
This battery also uses a liquid cathode: sulfur dioxide dissolved in propylene carbonate or acetonitrile for example. Or, SO2 can be liquid at very high pressures.  It follows a similar reaction mechanism as in figure 18 but the SEI is Li2S2O4 which is also the cathode discharge product.

Other lithium batteries include lithium-silver-vanadium oxide systems in heart defibrillators and lithium iodine in pacemakers.


2.5 RECHARGEABLE BATTERIES
Rechargeable batteries generally have lower energy storage capacities than primary batteries. The materials used are limited as they need to be optimized for longer operational lives and more robust construction.

Lead acid battery
This dominates the market.  The mechanism is shown in 15c and the complete reaction in Figure 19. The chemical components are the lead and lead oxide electrodes and aqueous sulfuric acid electrolyte solution.  Because of the heavy electrodes and electrolyte solution, the specific energy is low.  In addition, factors such as excess acid requirements to maintain ionic conductivity of the electrolyte at charged and discharged states, low mass utilization, and use of grids, separators, cell containers etc. lower the practical value of the specific energy (in Wh/kg) down to 25% of theoretical for rechargeables.  It is low cost and recyclable (up to ~98% as quoted in the article).  Footnote on specific energy: a 30 Wh/kg lead acid battery literally means that 1 kg of lead can power a 60 W bulb for 0.5 hours.

Nickel-cadmium (Ni-Cd) batteries
The reversible anode is cadmium, the cathode is nickel hydroxide (NiOH)2, and the electrolyte is alkaline KOH solution.  The discharge product at the anode is Cd(OH)2.  At the nI(OH)2 cathode, reversible proton insertion/deinsertion takes place during charge/discharge.  This is the first small sealed rechargeable battery.


Nickel metal hydride (Ni-MH) batteries
The development of alloys for storing hydrogen made the construction of this battery possible.  The anode is the hydrogen-storing alloy that undergoes proton insertion, replacing the Cd anode of the Ni-Cd system.  It uses the same cathode and electrolyte as the Ni-Cd battery. This has a higher energy storage capacity and lighter weight than N-Cd which it replaced.  ATTOW, it was the battery of choice for hybrid electric vehicles.

Li ion battery
The current lithium ion battery technology at that time had a carbon-graphite anode, a lithium cobalt oxide cathode, and a non-aqueous electrolyte solution of lithium hexafluorophosphate (LiPF6) salt with ethylene carbonate organic solvent.  Li+ ion is inserted/de-inserted analogous to the H+ ion in the NiMH battery.  This battery would have the highest energy except for it being plagued with mossy and dendritic lithium metal formation in the electrolyte at charging.


2.6 SELECTION CRITERIA FOR COMMERCIAL BATTERY SYSTEMS

1)      Mechanical and chemical stability: “Mechanical and chemical stability limitations arise from reaction with the electrolyte, irreversible phase changes and corrosion, isolation of active materials, and local, poor conductivity of materials in the discharged state, etc.”
2)      Energy storage capability: “The reactants must have sufficient energy content to provide a useful voltage and current level, measured in Wh/L or Wh/kg. In addition, the reactants must be capable of delivering useful rates of electricity, measured in terms of W/L or W/kg. This implies that the kinetics of the cell reaction are fast and without significant kinetics hindrances.”
3)      Temperature range of operation: “For military applications, the operational temperature range is from -50 to 85 °C. Essentially the same temperature range applies to automotive applications. For a general purpose consumer battery, the operating temperature range is 0-40 °C, and the storage temperatures range from -20 to 85 °C.”
4)      Self-discharge: “Self-discharge is the loss of performance when a battery is not in use…Li-MnO2 primary cells will deliver 90% of their energy even after 8 years on the shelf; that is, their self-discharge is low. Some military batteries have a 20-year storage life and still deliver their rated capacity. On the other hand, rechargeable batteries can be electrically restored to their operating condition and generally have more rapid loss of capacity on storage. The rechargeable Ni-MH cell, for instance, will lose up to 30% of its capacity in a month. Usually, self-discharge increases with temperature.”
5)      Shape of the discharge curve: “For operation of an electronic device, a flat, unchanging, discharge voltage is preferred. A sloping discharge is preferred for applications when determining the state-of-charge is important. This may be modified somewhat by the impact of cost. Although a constant brightness is preferred in a flashlight, the user may select carbon-zinc with a sloping discharge for its lower cost.”
6)      Cost
7)      Safety

Other criteria for rechargeables:

Ability to recharge and deliver power: “The rechargeable battery systems place a severe added requirement. The active materials must be capable of being restored exactly to their original condition (crystal structure, chemical composition, etc.) on reversal of the current flow (charging). After being recharged by current reversal, the electrode materials must be able to deliver the same rate of discharge while maintaining their voltage level. Very few chemical systems exhibit this characteristic.”

Cycle life: “A commercial cell must be capable of completely discharging its energy and then fully recharging a minimum of 300 times and not lose >20% of its capacity. This requires a very robust system and reversible electrode reactions.  There can be no side reactions that result in the loss of the active materials during the charge-discharge cycle.”

Charge time: “For convenience, recharging in 15 min is accepted for many consumer applications. However, fast charging places a stress on the robustness of the electrode reactions and may result in shortened cycle life. Most batteries require 3-8 h to recharge completely and maintain their required cycle life. This slower charge rate allows time for the atoms and molecules to find their correct positions in the charged material.”

Overcharge/overdischarge proteiction: “When a battery is forced outside its thermodynamic voltage levels, the reaction path becomes unstable; irreversible new reactions can occur, and new compounds can form. These events harm the active material and either reduce the capacity or render the system inoperable. In addition, unsafe battery conditions may occur under overcharge/overdischarge conditions. The Ni-Cd, Ni-MH, and lead acid have a built-in overcharge and overdischarge characteristic based on an oxygen recombination mechanism. Cell designs often use the ratio of the capacities of each electrode (cell balance) to accomplish protection of the battery system. It is also possible to use electronic controls to control the charge and discharge voltage limits within safe limits. The lithium-cobalt oxide cathode in the Li ion system is protected from overvoltage and overdischarge by electronic means. Voltage excursions outside its operating range can cause irreversible changes in its crystal structure and damage cell operations.”


3. FUEL CELLS

3.1 INTRODUCTION AND MARKET ASPECTS
Hydrogen and hydrocarbons store considerably more energy than materials used in common batteries.
Figure 21 shows the reactions in some common fuels
Figure 22 shows the components of a functioning fuel cell
Figure 23 shows the components of a complete fuel cell system


In Table 3, the authors provide advantages, disadvantages, and other notable comments about their history and operations for different types of fuel cells: alkaline fuel cell, polymer electrolyte membrane fuel cell, direct methanol fuel cell, phosphoric acid fuel cell, molten carbonate fuel cell, and solid oxide fuel cell.


3.2 FUEL CELL OPERATION
Similar to batteries in that they convert the chemical energy in the fuel to electrical energy.  They also operate with an anode, a cathode, and an electrolyte for ion conductivity.  Unlike batteries, however, the fuel and oxidant are delivered externally and are not contained within the cell itself.

Table 4 gives information about the anode and cathode compositions, the chemicals that are delivered at each electrode, the electrolyte composition, and the operating temperatures.

Fuel cells follow the fundamental thermodynamics, kinetics, and operational characteristics discussed for electrochemical cells previously.  For a H2 – O2 fuel cell, the overall reaction and thermodynamic parameters are:


Electrolytes can be basic or acidic. The reaction in acidic electrolytes are as follows:


Catalysts help accelerate the dissociation reaction of hydrogen at the anode.  They also help decompose the intermediate hydrogen peroxide faster to avoid its corrosive effect on the carbonaceous electrode material and its effect on reducing the voltage from the OCV.

In fuel cells, the electrodes have more complex structures and function in three ways:
1) to ensure a stable interface between the reactant gas and the electrolyte,
(2) to catalyze the electrode reactions, and
(3) to conduct the electrons from or to the reaction sites.

Problem arise in controlling the interactions at the 3-phase boundary where the reactant gas, the solid electrode, and the liquid electrolyte interphase.

Fuel cells can operate at very high efficiencies up to 60-70% rising to 90% if the waste heat is used.

As with batteries, the electrolyte must be a pure ionic conductor to prevent shorting issues.  These electrolytes can be liquid, molten salt, polymer, or ceramic.

For low-T fuel cells, the preferred gas is hydrogen gas.  For high-T fuel cells, hydrocarbon fuels such as methane or gasoline can be delivered directly to the cell.  For low – T fuel cells, the hydrocarbon must first be converted to hydrogen, a process that can produce CO, H2S, and CO2 that can irreversibly block the Pt catalyst.

Other possible fuels are hydrazine, methanol, and ammonia.

One disadvantage of fuel cells is the need for supporting devices which consume current thus lowering the overall efficiency.

The fuel cell stack makes up about 50% of the overall volume of the system and has very low energy density compared to batteries.

The slow kinetics, especially at the oxygen cathode, means low power capability, lower than that of batteries and gasoline engines.


3.3 CHARACTERISTICS OF VARIOUS TYPES OF FUEL CELLS
Many of these fuel cell types had their beginnings on space shuttles.

Alkaline fuel cell
The cell reactions are:
·        
·         can have efficiencies as high as 60%.
·         uses a KOH-based electrolyte.
·         Both electrodes use noble catalysts
·         Can achieve higher voltages in alkaline electrolyte due to the more facile oxygen reaction via the HO2- intermediate.  In this set-up, non-noble catalysts (nickel, silver) work well because of the better kinetics.
·         Pure hydrogen and oxygen are required as the electrode pores are susceptible to clogging by CO2 and catalyst poisoning by CO and sulfide impurities


Polymer electrolyte fuel cell
The electrodes are formed on a thin layer on each side of a proton-conducting polymer membrane, used as electrolyte… It consists of a solid polymer PTFE backbone with a perfluorinated side chain that is terminated with a sulfonic acid group.

Direct methanol fuel cell
·         The fuel is a liquid methanol – water mixture fed at the anode (easy to transport and store because it is liquid)
·         The reactions are:
·        

Phosphoric acid fuel cell
·         Operates in acidic media
·         A SiC matrix holds the acid
·         The reactions are:
·        


Molten carbonate fuel cell
·         Works best at 560 C and the waste heat can be used in cogeneration
·        


Solid oxide fuel cell
·         Operates at ~800 – 1000 C; limitations arise from the very high operating temperatures, including the choice of materials
·         Materials must have the same expansion coefficients and stable under oxidizing and reducing conditions
·         Operates at close to 96% thermodynamic efficiency
·         Uses exotic metal electrodes and electrolytes
·        



4. ELECTROCHEMICAL CAPACITORS (ECs)

4.1 INTRODUCTION AND MARKET ASPECTS
Electrochemical capacitors are sometimes referred to as supercapacitors, ultracapacitors, or hybrid capacitors.  They use the same nomenclature as batteries in terms of anode, cathode, and electrolyte. 

Capacitors that have the same anode and cathode configuration are referred to as asymmetric capacitors.
Ultracapacitors have referred to capacitors that have high surface area carbon at both electrodes.
Supercapacitors have been used to refer to symmetric capacitors where the carbon surface is coated with a ruthenium dioxide catalyst. The RuO2 presents a redox coupling between the two valence states of ruthenium.
Asymmetric capacitors usually have a battery or redox electrode (e.g. nickel hydroxide) with a carbon electrode.

Capacitors are energy storage device based on charge stored in the electrical doubly layer of a high surface are carbon immersed in aqueous electrolyte. They have been mainly used for memory protection in electronic devices.


4.2 CHARACTERISTICS OF THE ELECTRICAL DOUBLE LAYER (EDL)

·         An electrical double layer is an interface of charges between the electrode (an electron conductor) and the electrolyte (an ionic conductor) separated by a distance of molecular dimensions.
·         The properties of this layer depend on the electrode and electrolyte material, the electrode surface structure, and the potential field between the charges at the interface.
·         If the electrode has a negatively charged electrode surface will interface with positively charged ions in the electrolyte solution.
·         The interface time formation and relaxation is in the order of 10-8 seconds. This is considerably faster than the time scale for redox reactions in batteries.
·         Only a charge rearrangement takes place and not a chemical reaction.


4.3 EC OPERATION

·         High-surface-area carbon is the material of choice, as it combines a large surface area wetted by the electrolyte, high electronic conductivity, and chemical and electrochemical stabilities with low cost.
·         The voltage for capacitors with an aqueous electrolyte is about 1 V. With organic solvent, this can go up to as high as about 2.7 V.
·         The energy stored is given by ½ QV2
·         Figure 29 shows a schematic diagram of the charging process for capacitors.