1. Introduction
Food waste and its consequent environmental, societal, and economic impacts are attracting increasing attention across the globe [
1]. The Food and Agriculture Organization of the United Nations (FAO) estimates that approximately one-third of global food production is lost or wasted [
2]. Global efforts, such as the Food Loss and Waste Protocol, are currently underway to help identify, quantify, and reduce food waste [
3]. In developed countries, large quantities of preventable food waste are generated further down the food production chain at the post-retail, consumption level. While food waste from households represents a significant source of consumption-level food waste [
4], the institutional food service sector (schools, prisons, hospitals) is also a major source of food waste in developed countries [
5]. Schools in particular are ubiquitous in our communities and play an important role in all of our lives. Schools typically serve meals at a single location (
i.e., cafeteria) to a large number of individuals and the resulting food waste is collected at a single point. By comparison, an equal number of meals served at households would span a large area of a municipality, making collection more difficult. The concentrated food waste stream from school cafeterias presents an ideal opportunity for diverting food waste from landfills by reducing and/or recycling this food waste. The first step in assessing the potential of efforts to divert food waste from schools is to quantify the amount of food waste generated at the individual school level. The aim of this study was to measure the total cafeteria waste and specifically the food waste from three local schools by conducting waste audits on the waste stream generated from their school cafeterias.
Uneaten food from school-provided lunches is a major source of cafeteria food waste. Numerous studies have been conducted to directly or indirectly measure the amount of food discarded from school-provided lunches in order to assess students’ nutritional intake [
6,
7,
8]. These studies considered many different factors and measured the amount of waste from each constituent of the lunch provided. Typical values ranged from 20% to 50% of the items served being wasted, with vegetables and fruit in the higher range and entrée (meat and grain) in the lower range. In the United States, the National School Lunch Program (NSLP) sponsored by the United States Department of Agriculture (USDA) provides subsidies to schools that serve lunches in accordance with the NSLP nutrition requirements, with lunches provided to 31 million students in 2012 [
9]. The Healthy, Hunger-Free Kids Act of 2010, which took effect in the 2012–2013 school year, was a major revision to the nutrition requirements of the NSLP and made several changes to school-provided meals. One of the most significant changes, as it pertains to food waste, is that all students are now required “to be served” a fruit or vegetable with lunch [
10]. Prior to these changes, schools were required “to offer” fruit or vegetable, but not required to serve the fruit or vegetable to every student. There is concern among the public, school administrators, and elected officials that this change is causing an increase in food waste, particularly fruit and vegetable waste, and additional costs to schools for serving fruits or vegetables to students who will not eat them [
11]. Studies comparing food waste before and after the implementation of this rule show mixed results. Just and Price [
12] found that requiring students to take at least one serving of fruit or vegetable at three elementary schools (kindergarten through 5th grade) in Utah significantly increased the amount of fruits and vegetables wasted, from 0.17 to 0.92 servings discarded per student. Cohen
et al. [
13], however, found that after implementation of the new rules at three primary schools (3rd through 8th grade) in a low-income, urban school district in Massachusetts, the percent of vegetables wasted actually decreased from 74.2% to 59.7%, but fruit wasted increased slightly from 40.9% to 43.1%. Byker
et al. [
14] measured food waste generated from pre-school and kindergarten students receiving NSLP lunches after implementation of the new regulations at an elementary school in an urban cluster of a rural county in the southwestern United States. Over the course of a week, overall food wastage was 45.3%, with vegetables discarded in the highest amount (51.4%) and fruit in the lowest amount (33.0%). However, there was significant variability in the amount of food wasted during the week; vegetables ranged from 26.1% to 80%, depending on the day. These studies show the effect of students’ preferences and behavior, and the effect of food service regime, on food waste from school-provided lunches, especially in light of the new NSLP requirements. However, these studies are not complete food waste audits and do not account for food waste from lunches that students bring from home, waste from kitchen preparation, or waste from schools not participating in the NSLP program.
School cafeteria waste audits measuring the amount of cafeteria waste and total food waste generated from school kitchens and dining areas are less well documented in the United States than plate waste studies, and the few studies reported give widely varying generation rates. Based on literature reviews, the Connecticut Department of Energy and Environmental Protection (CDEEP) [
15] used a value of 159 g·student
−1·day
−1 to estimate school food waste for their spatial analysis of food waste generation in the state. In a study of food waste generation in a single county in upstate New York (Tompkins County), Griffin
et al. [
16] estimated the rate of discarded food waste at schools to be 227 g·student
−1·day
−1 based on their review of the literature. Hollingsworth
et al. [
17] measured total cafeteria waste generation rates in four middle schools and two elementary schools in Baton Rouge Parish, Louisiana for a 5-day period and found an average food waste generation rate of 130 g·student
−1·day
−1. Hollingsworth
et al. [
18] also measured total cafeteria waste generation rates at seven schools (2 elementary, 2 middle and 3 primary; kindergarten through 8th grade) in Ascension Parish, Louisiana for a 10-day period and found an average food waste generation rate of 171 g·student
−1·day
−1. Johnson
et al. [
19] used an estimate for school food waste production of 0.7 kg·employee
−1·day
−1 at public schools in Florida which translates to 83.3 g·student
−1·day
−1 based on the current Florida public school full-time staff (320,349) to public school student (2,691,322) ratio [
20,
21]. In Minnesota over a 2-day period, the Minnesota Pollution Control Agency (MPCA) [
22] audited both urban and suburban total school waste at two elementary schools, two middle schools, and two high schools and determined that the average food waste production at public schools was 56.4 g·student
−1·day
−1. A waste audit conducted at a dining hall at the University of Florida found a food waste generation rate of 158.8 g·student
−1·day
−1 [
23]. These few studies show that there are scant data with a wide range of waste generation rates, and demonstrate the need for more current waste audits that thoroughly measure the amount of waste generated by school cafeterias.
Focusing on food waste at schools represents an ideal opportunity for addressing institutional food waste for several reasons. First, the fact that public schools fall under the jurisdiction of the local school board could allow unified educational campaigns to reduce food waste and coordinated food waste recycling programs that could improve the cost effectiveness of such programs. Also, cafeterias are a more controlled environment than other food service areas due to a regular, daily attendance by the same students eating in the same cafeteria, often for several years. Further, educational campaigns, which could be incorporated into existing science and engineering curricula, to minimize food waste, to divert this food waste from landfills, and to transform these materials into energy and soil amendments through composting or anaerobic digestion, offer unique educational opportunities in resource conservation, environmental stewardship, and sustainability that are critical for our future citizens, especially for developing leaders among them. These educational campaigns could have even greater impacts for fostering sustainability as these students, upon becoming aware of food waste and learning techniques to reduce or recycle food waste, bring these lessons home and influence their parents to also reduce their household food waste [
24].
The objectives of this study were to determine the amount of total cafeteria waste and food waste generated at three schools in Gainesville, Florida and to compare the composition of cafeteria waste at these schools. Such data are an essential first step towards future research to assess the potential for reducing and recycling food waste at schools. Before any comprehensive food waste reduction or recycling regime can be implemented, it must first be known how much food waste is generated.
3. Results
The daily total waste and waste fractions from the cafeteria waste audit at each school are shown in
Figure 1,
Figure 2 and
Figure 3. School A showed the greatest variability in total daily waste (
Figure 1). This may be due to the nature of the younger elementary school students who may be more selective about what they eat from a certain day’s menu. The mean daily component weights and student attendance data from the cafeteria waste audit at each school are shown in
Table 3. For all three schools, food waste was the predominant component found in the collected waste. The mean percentage contribution of each cafeteria waste fraction to the daily total waste generation rate at each school is depicted in
Figure 4.
Figure 1.
Total waste and waste fraction weights from a cafeteria waste audit at School A, a public elementary school in Alachua County, Florida.
Figure 1.
Total waste and waste fraction weights from a cafeteria waste audit at School A, a public elementary school in Alachua County, Florida.
Figure 2.
Total waste and waste fraction weights from a cafeteria waste audit at School B, a public technical high school in Alachua County, Florida.
Figure 2.
Total waste and waste fraction weights from a cafeteria waste audit at School B, a public technical high school in Alachua County, Florida.
Figure 3.
Total waste and waste fraction weights from a cafeteria waste audit at School C, a private middle and high school in Alachua County, Florida.
Figure 3.
Total waste and waste fraction weights from a cafeteria waste audit at School C, a private middle and high school in Alachua County, Florida.
Figure 4.
Mean percentage of waste fractions from cafeteria waste audits at three Florida schools.
Figure 4.
Mean percentage of waste fractions from cafeteria waste audits at three Florida schools.
Table 3.
Mean daily component weights and attendance from cafeteria waste audits at three Florida schools.
Table 3.
Mean daily component weights and attendance from cafeteria waste audits at three Florida schools.
Component | School A (n = 8) | School B (n = 7) | School C (n = 5) |
---|
kg·day−1 | Mean | Std. dev. | Mean | Std. dev. | Mean | Std. dev. |
Food | 26.46 | 6.22 | 12.52 | 1.95 | 8.23 | 0.82 |
Milk | 12.44 | 3.73 | 0.64 | 0.58 | 0.00 | 0.00 |
Cardboard | 0.03 | 0.08 | 0.58 | 0.63 | 1.67 | 3.62 |
Milk cartons | 4.48 | 0.40 | 0.57 | 0.26 | 0.00 | 0.00 |
Office paper | 0.00 | 0.00 | 0.00 | 0.00 | 0.24 | 0.19 |
Pasteboard | 1.07 | 0.68 | 0.98 | 0.94 | 1.67 | 1.13 |
Paper plates | 0.00 | 0.00 | 0.00 | 0.00 | 0.29 | 0.65 |
Tissue paper | 3.00 | 0.91 | 1.42 | 0.26 | 1.27 | 0.23 |
Total Paper | 8.58 | 1.36 | 3.55 | 0.84 | 5.14 | 2.72 |
Plastic bags | 0.03 | 0.04 | 0.04 | 0.05 | 0.20 | 0.04 |
Plastic bottles | 0.17 | 0.22 | 0.38 | 0.28 | 0.46 | 0.36 |
Plastic containers | 1.83 | 0.79 | 0.75 | 0.49 | 0.94 | 0.38 |
Plastic packaging | 2.64 | 1.32 | 1.15 | 0.45 | 0.34 | 0.07 |
Plastic wrap | 0.33 | 0.28 | 0.63 | 0.60 | 0.20 | 0.12 |
Styrofoam | 1.27 | 1.70 | 0.67 | 0.26 | 0.34 | 0.31 |
Straws | 0.20 | 0.09 | 0.03 | 0.03 | 0.00 | 0.00 |
Utensils | 0.87 | 0.08 | 0.19 | 0.05 | 0.31 | 0.16 |
Zipper bags | 1.11 | 0.53 | 0.06 | 0.05 | 0.22 | 0.05 |
Total Plastic | 8.45 | 2.38 | 3.90 | 0.62 | 3.01 | 0.55 |
Al cans | 0.04 | 0.05 | 0.99 | 0.50 | 0.20 | 0.05 |
Al foil | 0.13 | 0.05 | 0.04 | 0.08 | 0.21 | 0.21 |
Glass | 0.00 | 0.00 | 0.00 | 0.00 | 0.03 | 0.07 |
Total Al & Glass | 0.17 | 0.09 | 1.03 | 0.56 | 0.44 | 0.22 |
Total Waste | 56.10 | 7.17 | 21.64 | 2.82 | 16.82 | 2.27 |
Attendance | 407 | 3.89 | 219 | 9.89 | 333 | 3.24 |
The mean and standard deviation of the daily generation rates of cafeteria waste fractions on a per student basis, based on recorded daily attendance data, are given in
Table 4 for all three schools. Average total waste generation rates ranged from 50.5 g·student
−1·day
−1 at School C to 137.6 g·student
−1·day
−1 at School A. The mean generation rates for food waste ranged from 24.7 g·student
−1·day
−1 at School C to 64.9 g·student
−1·day
−1 at School A. The overall average for cafeteria waste generation among the three schools was 102.3 g·student
−1·day
−1, with food waste alone contributing 52.2 g·student
−1·day
−1. The percentage contributions of each fraction to the total waste generation rates at the three schools are also shown in
Table 4. Food, milk and the paper fractions made up at least 77% of the cafeteria waste generation at all three schools (
Table 4).
Table 4.
Mean generation rates of cafeteria waste fractions from three Florida schools based on waste audits.
Table 4.
Mean generation rates of cafeteria waste fractions from three Florida schools based on waste audits.
Fraction | School A (n = 8) a | School B (n = 7) | School C (n = 5) | Overall (n = 20) |
---|
g·student−1·day−1 | Mean | Std. Dev. | % of Total | Mean | Std. Dev. | % of Total | Mean | Std. Dev. | % of Total | Mean | Std. Dev. | % of Total |
Food | 64.86 | 14.77 | 47.1 | 57.24 | 8.45 | 57.8 | 24.70 | 2.31 | 48.9 | 52.15 | 19.49 | 51.0 |
Milk | 30.56 | 9.19 | 22.2 | 2.86 | 2.54 | 2.9 | 0.00 | 0.00 | 0.0 | 13.22 | 15.66 | 12.9 |
Paper b | 21.06 | 3.34 | 15.3 | 16.22 | 3.56 | 16.4 | 15.47 | 8.36 | 30.6 | 17.97 | 5.44 | 17.6 |
Plastic c | 20.73 | 5.81 | 15.1 | 17.94 | 3.07 | 18.1 | 9.00 | 1.66 | 17.8 | 16.82 | 6.24 | 16.4 |
Al & Glass d | 0.40 | 0.22 | 0.3 | 4.75 | 2.71 | 4.8 | 1.32 | 0.67 | 2.6 | 2.16 | 2.53 | 2.1 |
Total | 137.60 | 16.75 | 100.0 | 99.01 | 11.86 | 100.0 | 50.49 | 7.22 | 100.0 | 102.32 | 37.33 | 100.0 |
4. Discussion
There is an inherent uncertainty when using a limited data set of waste audits to estimate food waste generation rates at schools. Within the current data, the standard deviations of the mean generation rates are quite high (
Table 4). While the mean per student food waste generation rates were somewhat similar between Schools A and B, 64.9 and 57.2 g·student
−1·day
−1 respectively, the mean per student food waste generation rate at School C, 24.7 g·student
−1·day
−1, was much lower than those of the other schools. There are a number of potential reasons why School C had lower food waste generation numbers. Because no food was prepared in the cafeteria at School C, there was no kitchen waste, as was present at School B. Since lunches were selected by students from a daily order menu provided by off-campus restaurants, the food would likely be more palatable to the students than school-provided meals, and therefore there may have been less uneaten food wasted at School C than at School A or B. Also, School C did not provide breakfast, which reduced the number of meals served in the cafeteria. All public schools in Florida, including School A and School B, are required to offer breakfast, while School C, being a private school, is not subject to this requirement.
Another important factor to consider when comparing food waste generation rates among schools is the percentage of students who receive a school-provided lunch, which can be impacted by a number of factors, including family income and grade level. Smith and Cunningham-Sabo [
6] measured plate waste from school lunches in a school district in Northern Colorado and found that at a higher-income elementary school (35% of students eligible for free or reduced-cost lunch) 63% of students received a school-provided lunch, while at a lower-income elementary school (64% eligible for free or reduced-cost lunch) 77% of students received a school-provided lunch. The authors found that there was significantly higher food waste of all types from the lower income schools than the higher income schools. In the present study, School A and School B had similar income levels, with 53% and 59% eligibility for free or reduced-cost lunch, respectively. However, 65% of students received a school-provided lunch at School A, while 36% of students received a school-provided lunch at School B (
Table 1). This may have been due to the age differences between the students because elementary school students may be more likely than high school students to receive a school-provided lunch. While the overall food waste generation rates were somewhat similar between Schools A and B, waste from the kitchen contributed significantly to the food waste at School B. On average during the audit, kitchen food waste accounted for approximately 40% of the food waste collected from School B (data not shown). Therefore, the food waste from the dining area of the cafeteria was in fact much lower at School B than School A. Thus, the present study indicates that a higher level of school-provided meals leads to a higher food waste generation rate. At School C, 37% of students received a catered lunch, which was similar to the percentage of school-provided lunches at School B, and School C had the lowest food waste from the dining area. Assuming that the students who do not receive a school-provided lunch (35% and 64% at Schools A and B, respectively) or a catered lunch (63% at School C) bring their lunch from home, this study suggests that lunch brought from home results in less food waste from the dining area of the cafeteria compared to served lunches. This may be due to students or their parents packing the types and amounts of food that they will eat. Also, the students may bring whatever is not eaten from these lunches out of the cafeteria to eat later in the day or take home with them. Studies have shown that a large percentage of school-provided meals is discarded [
6,
7,
8]. Measuring the difference between food waste generation rates from school-provided lunches and lunches brought from home is an area of potential future research.
A notable difference between the schools was the amount of milk wasted. School A showed the highest amount of milk waste, as expected, due to the younger elementary school children being routinely served milk over other beverages. High school students may be less likely to take milk with their meals and, since there were vending machines in the cafeteria, they may have elected to drink soda, juice, or water instead. Also, since School B had much fewer students that were served a school-provided meal, there was less opportunity for students to receive milk. Another factor in milk waste was the volume provided to the students. At both School A and School B, milk was provided in half-pint (0.24 L) cartons. This may have been too much milk for the average elementary student to drink. In fact, unopened cartons of milk were commonly found in the waste at School A. School C did not provide milk and there was no measurable amount of liquids collected in the cafeteria waste.
The mean weight of food waste generated from the school cafeterias in the present study varied from 64.9 g·student
−1·day
−1 at School A to only 24.7 g·student
−1·day
−1 at School C, with an overall average for all schools of 52.2 g·student
−1·day
−1 (
Table 4), which is approximately the weight of half a small apple or one and a half slices of bread. These measurements are significantly lower than school food waste generation values estimated by CDEEP [
15] and Griffin
et al. [
16] that ranged from 159 to 227 g·student
−1·day
−1 respectively, but are closer to the level estimated by MPCA [
22] of 56.4 g·student
−1·day
−1. The levels are also lower than food waste generation rates measured by Hollingsworth
et al. [
17,
18] of 130 and 171 g·student
−1·day
−1, respectively. One reason that food waste generation rates found in the current study are lower could be an increased reliance on pre-packaged and pre-prepared food at these schools, which was empirically observed during the audits and through discussions with the cafeteria staff. For instance, at School A, instead of serving a whole apple, the students received pre-packaged slices of apples which would eliminate the disposal of apple cores into the food service waste stream. Graunke and Wilkie [
23] also found a high food waste generation rate of 158.8 g·student
−1·day
−1 at a university dining hall. However, this dining hall was operated as a buffet and all food was prepared on-site. The kitchen waste from food preparation accounted for 72.6 g·student
−1·day
−1 in this study, while post-consumer food waste was 86.2 g·student
−1·day
−1 [
23].
Although food waste was the main focus of the present study, the generation rates of other components of the cafeteria waste that were measured in the audits were compared to available literature. Data from the Hollingsworth
et al. [
17,
18] studies, which date from the early 1990s, was used to calculate the contribution of only the paper fraction (cardboard, pasteboard, paper bags, and napkins) of the school cafeteria waste stream, yielding paper fraction generation rates of 34 and 40 g·student
−1·day
−1, respectively. The current study found paper fraction generation rates ranging from 15.5 g·student
−1·day
−1 at School C to 21.1 g·student
−1·day
−1 at School A (
Table 4) that are close to half of the estimated generation rates from the Hollingsworth studies. In contrast, the plastic fraction in the current study ranged from 9.0 to 20.7 g·student
−1·day
−1 (
Table 4), while plastic fraction generation rates in the Hollingsworth
et al. [
17,
18] studies were calculated to range from only 3.4 to 3.8 g·student
−1·day
−1, much lower than in the current study. The difference in paper and plastic generation rates in the present study compared to the Hollingsworth
et al. [
17,
18] studies may be traced to the fact that the use of plastic as a packaging material has increased substantially in recent years. This was empirically observed during the waste audits with a predominance of plastic packaging compared to paper or cardboard packaging in evidence. The apparent change in waste generation over time highlights the need for current audits in order to determine accurate component generation rates.
The waste audits revealed that food waste comprised the majority of the cafeteria waste stream. Diverting this food waste from disposal at landfills presents a clear opportunity for increasing the sustainability of school cafeterias. Also, because this food waste is generated at a single point, diverting school cafeteria food waste can be a low-hanging fruit in addressing the problem of food waste. There are two primary approaches to diverting school food waste: reduction and recycling.
Reducing the amount of food waste generated at schools by preventing food from being discarded offers perhaps the most impactful solution to diverting school food waste from landfills. With the rules set by the NSLP standards, school-provided lunches must meet certain criteria and, especially with the Healthy, Hunger-Free Kids Act requiring each student to take a fruit or vegetable, there are some unique challenges to reducing food waste from school-provided lunches. This can be compounded by younger children’s tendency to be selective eaters [
26]. However, there are a number of strategies that have been researched in order to reduce the amount of food waste from lunches provided under the NSLP. One strategy includes providing adequate time for students to eat and serving lunch at an appropriate time of day. Studies have shown that scheduling recess prior to lunch can significantly increase consumption and reduce food waste [
4,
27]. Other strategies include improving the quality and acceptance of food, launching nutrition education campaigns, using appropriate portion sizes, and allowing self-service fruit and vegetable bars [
28]. Involving students in cooking and food preparation through classroom activities could increase their acceptance of different foods and increase consumption of fruits and vegetables [
29]. Providing incentives or rewards to students for eating their fruits and vegetables is another effective food waste reduction strategy [
12]. Even serving food with an attractive name may reduce the amount of food waste. One study found that calling carrots “X-ray vision carrots” approximately doubled the amount of carrots eaten (65.9% eaten)
versus calling the carrots “Food of the day” (32.0% eaten) or unnamed (35.1% eaten) [
30]. These studies show that, with some research and creativity, there is great potential to reduce the amount of food waste generated from schools by adjusting how food is served and/or employing behavior change strategies.
The second route for diverting school food waste is through collecting and recycling food waste. Waste is typically collected at a single point at the school, such as a dumpster behind the cafeteria, which allows collection of a large quantity of food waste in one location. Also, because school cafeterias are typically a more controlled environment than other food service locations, employing strategies for source separation and collection would be more feasible. Many of the plastic waste items found in the present study could be replaced with durable products that would be washed and reused, such as plates and metal utensils. Not only would this reduce the overall waste from the cafeteria, but a “cleaner” food waste stream would be generated. By reducing the number of disposable items used in the cafeteria, combined with focused training of students and cafeteria staff, and interpretive signage to highlight designated receptacles for food waste, a source-separated food waste stream could be generated from school cafeterias, which would greatly facilitate opportunities for food waste recycling. Also, recycling programs offer valuable educational experiences for students that will continue to provide long-term benefits to society.
Although food waste recycling is lower than food waste reduction on the Food Recovery Hierarchy developed by the United States Environmental Protection Agency [
31], food waste recycling has many benefits and is useful for diverting unavoidable food waste (e.g., food preparation waste or inedible portions of food) from landfills. Food waste has high moisture content, is readily degradable, and contains significant plant nutrients [
32]. The most beneficial means of recycling food waste is either by composting into soil amendments or by conversion via anaerobic digestion into biogas and fertilizer products. In both composting and anaerobic digestion, nutrients contained in the food waste can be recovered and reused. Anaerobic digestion has the added benefit of generating a renewable bioenergy (biogas) that can be used as a replacement for natural gas [
33]. Depending on available space at a school or the technology available in the surrounding community, on-campus composting or anaerobic digestion could feasibly be incorporated into the school’s facility operations. Composting is already being practiced on a small scale at many schools and, with some investment, composting operations could be expanded to handle cafeteria food waste. These operations could generate a steady supply of compost that could be incorporated synergistically to promote on-campus gardening and food production. This could in turn further help reduce food waste because school gardens have been shown to increase students’ consumption of fruits and vegetables [
34]. Anaerobic digestion could be implemented on school campuses using small-scale digesters. These could be operated through partnerships with local anaerobic technology providers, or by the school’s facility operations themselves. Biogas, with appropriate equipment, could be used for cooking in the cafeteria’s kitchen, offsetting fossil fuel use at the cafeteria. The biofertilizer by-product of anaerobic digestion could also be used to support on-campus gardening activities. Alternatively, a centralized anaerobic digester could be constructed to handle food waste from several schools within a school district.
The State of Florida Department of Environmental Protection has set a goal of reducing the level of recyclable municipal solid waste (MSW) sent for landfill disposal by at least 75% by 2020 to improve environmental sustainability [
35]. Therefore, focusing on recycling the non-food waste materials is critical to meeting this goal. Through separating food waste from the other materials, there is a synergistic effect that can improve recycling of the other materials in the cafeteria waste. Most of the materials collected during the audits were heavily soiled with food residues from contact with food waste in the waste bins. This contamination can be particularly problematic for recycling some of these materials. Therefore, establishing or improving the existing source separation of recyclables through education and awareness is essential in order to divert clean recyclables from the waste stream. The types of these materials that are recyclable will depend on the recycling facilities in the area. It should be noted that School C, which had vending machines in the cafeteria, was already collecting recyclables in the cafeteria. School C showed lower generation rates of aluminum cans than School B (1.2%
versus 4.6% of total cafeteria waste, respectively), which also had vending machines but did not collect recyclables. Paper materials, such as napkins, may be more difficult to separate from food waste for recycling. However, even when contaminated, it is possible to compost or anaerobically digest some or all of the paper fraction in combination with the food waste (including milk). This combination could recycle more than 75% of the cafeteria waste measured in the present study.
One limitation of this study is the short duration of measurements, with data collection occurring over two weeks or less. The study does not account for seasonal variation within the schools. However, meals at these schools consisted largely of pre-packaged or processed foods with little seasonal fresh produce and, therefore, the seasonal variation of the meals at these particular schools is presumed to be minimal. Regional differences may also exist as different school districts could operate their food services differently. Differences in student demographics (age, ethnicity, socio-economic status) also affect student eating habits, which impacts waste generation. To mitigate the effects of these differences, the three schools were purposefully selected to represent students of various backgrounds from a public elementary school, a public technical high school, and a private middle/high school.