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Journal of Food Quality
Volume 2018 (2018), Article ID 3267818, 9 pages
Research Article

Using Infrared Radiation in a Radiant Wall Oven for Blanching Small-Sized Peanuts

1Food Science & Technology, University of Georgia, Athens, GA 30605, USA
2Food Science & Technology, University of Georgia, Griffin, GA 30223, USA

Correspondence should be addressed to Koushik Adhikari

Received 29 October 2017; Revised 22 December 2017; Accepted 4 January 2018; Published 31 January 2018

Academic Editor: Ángel A. Carbonell-Barrachina

Copyright © 2018 Catherine Smith et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The main objective of this study was to determine the effectiveness of infrared technology for blanching small-sized peanuts. A radiant wall oven was used for infrared blanching. Infrared treatments included 343°C for 60 s and 288°C for 90 s. High and low moisture groups with approximate moisture content of 9% and 6% were used. An impingement oven set at 100°C for 20 min was used as the control treatment. No treatment differed from control in terms of blanchability. A descriptive sensory shelf life study of six weeks found no evidence of oxidative changes in experimental treatments. The infrared blanched peanuts were roasted using an impingement oven set to 177°C for 10 min for a consumer acceptability test. Conventionally blanched peanuts roasted under the same parameters were used as a control. The consumer panel found the peanuts blanched by infrared radiation at 343°C for 60 s to be the most likeable roasted IR sample and did not differ from control. IR heating is a viable and quicker alternative to blanch small-sized peanut varieties with minimal effects on quality including sensory properties.

1. Introduction

There are three major peanut growing areas in the United States, the southeast region, the southwest region, and the Virginia-Carolinas region. Nine states account for ~99% of all peanuts produced in the United States. Georgia (USA) contributes ~45% to the US production [1]. The peanut industry contributes more than 50,000 jobs in Georgia (USA) and 23% of the state’s new row and forage crops income, underscoring the importance of this crop to the state’s economy [2].

Removal of testa or the skin from peanut kernels is an important preprocessing step in processing peanuts into products such as peanut butter. This process is known as blanching and is achieved by the application of heat followed by the abrasive removal of the peanut skin while keeping the kernels intact. The resulting seedless kernels are still considered raw although they undergo a heat treatment. The various factors affecting the blanchability of peanuts include size and maturity of the peanut seeds, the conditions and length of storage after harvest and before processing, the genotype of the peanuts, and most importantly the moisture content of the kernels. The high rate of expansion for the peanut kernel compared with the expansion rate of the peanut skin causes more stress to be put on the peanut skin, which helps to loosen the peanut skin from the kernel. The resulting moisture loss and crisping of peanut skins will also aid fracturability and seed coat removal. The relatively high oil content of the peanut kernels is believed to cause a higher expansion rate for the kernels as well [36].

Today, there are several methods used for peanut blanching including microwave, dry, alkali, spin, water, and peroxide, although most of the research on blanching has been carried out on runner peanuts using hot air ovens [6]. In an extensive study carried out by Adelsberg and Sanders, medium commercial size, runner peanuts were blanched in an airflow direction controlled lab scale conventional hot air oven. The study took into account seed coat removed, moisture content reduction, and enzyme activity. Overall, it was found that the main factors affecting blanchability were initial moisture content, drying rate, and thermal expansion. Reduction in moisture content to less than 4% from an initial content of 5.5% resulted in a maximum blanchability of approximately 75%. These results were produced using a temperature of 87.7°C with times of 45 and 60 min and a temperature of 98.9°C with times of 40, 45, and 60 min [5]. Similarly, a continuous microwave technology has been researched for blanching, and it was observed that treatments that exceeded 110°C with a moisture content of <5.5% resulted in >85% blanchability, which is regarded as the industry standard. The study showed that microwave processing was a faster and more cost efficient process for peanut blanching [6]. Microwave technology is another example of radiative technology applied to food.

In the past decade or so infrared (IR) heating has been explored for food processing operations, including pasteurization, roasting, frying baking, drying, peeling, and blanching. IR heating is a form of radiative heating where the wavelength is determined by the temperature of the emitting body. This relationship is described by the basic laws of black body radiation. Black body radiation depends on the emitting body’s temperature. IR radiation is a form of electromagnetic radiation that has a wavelength of 0.38 to 1000 μm. Generally, IR wavelengths that can be absorbed by food components are in the far-IR region of the spectrum from 3.0 to 1000 μm. The increasing popularity of this technology is due its energy efficiency, retention of quality in the finished products (mainly nutritional and sensory properties), process speed, and the simplicity of the equipment. IR heating is primarily done in radiant wall ovens where the heated walls emit IR radiation to apply heat to the material being processed [716]. Because IR heating is a surface level treatment, it is hypothesized that the skins from these peanuts may become more crisp and easier to remove.

Infrared blanching of large runner type peanuts has been explored in our lab in a previous study [17]. The study showed that IR blanching of large peanuts was possible with comparable rates of blanchability when compared to the traditional convection hot air oven method. It was observed that peanuts blanched using IR heating at 343°C for 1.5 min, 316°C for 1.5 min, 288°C for 1.5 min, and 343°C for 1 min did not differ significantly () from the hot air controls. Figures 1(a) and 1(b) show the schematics for the conventional hot air heating method and the IR heating method, respectively. Additionally, in this study a sensory evaluation of shelf life was done with one control and three IR treated sampled and indications of possible initiation of oxidation for the conventionally blanched peanuts were found at 18 weeks of storage with no indication of oxidation in the IR treated samples [17].

Figure 1: Schematic illustration of (a) hot air impingement oven (adapted from Adelsberg and Sanders, 1997) and (b) infrared heating in a radiant wall oven (adapted from Kettler et al., 2017).

The main objective of this research study was to determine the feasibility of using IR heating to blanch small-sized peanuts. Another objective was to measure oxidative changes, if any, in a short six-week shelf life study. The six-week period was chosen because the peanut industry process blanched peanut kernels within a month’s time [Personal Communication, Mr. Michael Woodall, Lewis M. Carter Manufacturing]. Finally, the blanched peanuts (both fresh and after four-week storage) were roasted to determine differences in acceptability, if any.

2. Experimental

2.1. Peanut Samples and Conditioning

Small size commercial grade peanuts were obtained from Lewis M. Carter Manufacturing (Donalsonville, GA). The peanuts were an aggregate of different peanut varieties that were sorted based on size [Personal Communication, Mr. Michael Woodall, Lewis M. Carter Manufacturing]. Once sorted, Peanuts were stored at 4°C until conditioned to two different moistures levels of approximately 6% and 9%. These two moisture levels were chosen to simulate moisture levels consistent with freshly harvested peanuts (9%) and peanuts that have been stored for a period of one year (6%). Conditioning was done using a Hotpack Humidity Chamber (Model 155314; SP Scientific, Warminster, PA, USA) set at 90% relative humidity (RH) and 40°C in approximately 14 h or until moisture analysis showed the peanuts had reached target moisture level.

2.2. Blanching

Peanut blanching was achieved by a conventional method using a conventional hot air impingement oven (Model 1450; Lincoln Impinger, Fort Wayne, IN, USA) as a control, and an IR radiant wall oven (Model RWO-12-26; Pyramid Food Processing Equipment Manufacturing, Tewksbury, MA, USA) for the IR method to be tested. Figure 1(a) illustrates the working of an impingement oven while Figure 1(b) shows the same for an IR radiant wall oven (RWO). Control samples processed in the impingement oven were blanched at 100°C for 20 min and samples processing in the IR RWO were blanched using two different time/temperature combinations, either 343.3°C for 1 min or 287.7°C for 1.5 min (Table 1). Peanuts were removed from cold storage and allowed to come to room temperature (~23°C). Peanuts that were split and peanuts without testa were removed from the supply before blanching. One kilogram of whole, unblanched peanuts was placed in custom-made 86.4 cm × 28.6 cm perforated wire mesh trays in a single layer. Two trays were placed back to back per trial to process two kilograms of peanuts per batch. After processing, peanuts were immediately force cooled with compressed air to ambient temperatures (23°C) for four minutes. The peanuts were then fed into a tabletop peeler (Model EX, Ashton Food Machinery Co., Newark, NJ, USA) with a top roller linear speed of 147.1 m/min and a bottom roller linear speed of 147.9 m/min. Peanuts were run through the peeler twice to achieve maximum peeling. Three replicates were carried out for both the control and the experimental samples. A 20-gram sample/replicate was retained for moisture content determination before and after blanching. A 100-gram sample/replicate was retained for color determination and oil extraction for peroxide value determination. Rest of the samples/replicate were frozen (−15°C) for sensory shelf life testing. Figure 2 illustrates a flow chart outlining the blanching process including the moisture conditioning of the peanut kernels.

Table 1: Description of blanching treatments used in the study.
Figure 2: Flow chart outlining the blanching process.
2.3. Roasting

The three low moisture peanut samples, two IR blanched (343.3°C for 1 min or 287.7°C for 1.5 min) and one hot air blanched (control; 100°C for 20 min), were roasted using a conventional hot air impingement oven (Model 1450, Fort Wayne, IN 46804, USA) to a CEI value of ~48.5, which indicates a medium roast level. All the three samples that were chosen for roasting based on their blanchability. In the blanching study, it was found that all the low moisture samples had higher blanchability than the high moisture samples. In order to investigate how storage time may change quality of roasted peanuts, once blanched, two different hold times were explored, a period of 1 day and a period of 30 days. Peanuts were held in sealed plastic bags at ambient temperature (~23°C) for 30 days. After the holding period, 750 g of blanched peanuts was placed in a custom-made 86.4 cm × 28.6 cm perforated wire mesh tray in a single layer and roasted in the conventional hot air impingement oven at °C for 10 min. The same roasting time and temperature were used for all the three samples. After roasting, the peanuts were immediately force cooled with compressed air to ambient temperature (~23°C) for 4 min. Three replicates were carried for the all the three samples. A 100 gram sample/replicate was retained for color determination and moisture contented determination. A 250-gram sample/replicate was retained from each trial for oil extraction for peroxide value determination. All other nuts blanched within the same sample for all three replicates were combined and used for testing of consumer acceptability test.

2.4. Instrumental Parameters

The instrumental measures were collected on all three processing trials for the both methods of blanching. The flow chart (Figure 2) also shows all the instrumental measures that were done on the blanched peanuts.

2.4.1. Blanchability Determination

A 100-gram sample was separated by hand based on visual inspection to determine blanchability. Peanuts were separated into blanched whole, blanched split, and unblanched nuts. Blanched whole and blanched split were added to arrive at the total blanched percentages. Peanuts were considered unblanched if seed coat was still visible on the peanut. Blanchability efficiency for all the treatments was determined manually as percentages.

2.4.2. Moisture Content

Twenty-gram samples were taken from each trial and ground using a small coffee grinder and analyzed in a HR73 Mettler-Toledo Halogen Moisture Analyzer (Mettler-Toledo, LLC, Columbus, OH, USA). Three to four grams of ground peanuts were weighed in the aluminum tray of the moisture analyzer and dried at 110°C for approximately six to ten minutes or until a consistent weight was achieved.

2.4.3. Color Determination

After determination of blanchability, the same 100-g sample was placed in a small Petri dish on a black background for color determination using a HunterLab MiniScan EZ Colorimeter (Hunter Associates Laboratory, Inc., Reston, VA, USA). This allows port of the device to be completely covered in peanuts while ensuring that no outside light interfered with measurements. Before use, the colorimeter was calibrated using black and white standardization tiles that were included with the device. Color was reported as CEI Values. Three measurements were taken per sample and averaged. Peanuts with values > 61 are raw.

2.4.4. Peroxide Value

To measure the extent of oxidation and the possibility of off flavor formation in blanched and roasted peanuts, oil was extracted from the peanuts using a hydraulic Carver press (Carver Inc., Wabash, IN, USA). The resulting oil samples were transferred to 20-mL glass vials wrapped in tin foil and kept frozen until analysis.

Peroxide value measurements were determined using the AOCS Official Method Cd 8-53. This method determines all substances, in terms of milliequivalents of peroxide per 1000 g of sample that oxidized potassium iodide (KI) under the conditions of the test. A  g sample of oil was measured and placed in a 250 mL glass stoppered Erlenmeyer flask. About 30 mL of an acetic acid–chloroform solution (3 : 2) was added to the flask and swirled until the sample was dissolved. Then, 0.5 mL of saturated KI solution was added to the flask using a volumetric pipet. After 1 min, 30 mL of distilled water was added immediately to stop the reaction. This solution was then titrated against 0.1 N sodium thiosulfate under constant agitation with 2.0 mL of freshly prepared starch indicator to an endpoint of milky white color. Peroxide value is expressed as mM peroxide/1000 g oil sample. is titration of sample (mL) and is titration of blank (mL).

2.5. Shelf Life Descriptive Sensory Analysis of Blanched Peanuts

A trained panel comprising eight trained (>100 h of training and 1,200 h of testing) panelists was used to evaluate blanched nuts at the UGA Griffin campus. Approval from the university’s IRB (Project ID MOD00002419) was obtained before undertaking the study. Samples for the shelf life study were stored in plastic containers at ambient temperature (23°C) for 6 weeks. Peanuts were evaluated at 0, 3, and 6 weeks of storage. Panelists participated in a 2 h orientation prior to sensory evaluation. The descriptors evaluated were based on the peanut lexicon established by Johnsen et al. [18]. Descriptors and their definitions are shown in Table 2. Each descriptor was anchored with multiple references on a 0–15-point scale with 0.5 increments. At the beginning of each evaluation session panelist were calibrated using a warm-up sample. For blind evaluations, samples were coded with 3-digit random codes. The samples (~10 g) were served to the panelists in a random order for evaluation in individual booths. The data was collected using Compusense Cloud (Compusense Inc., Guelph, Ontario, Canada) software.

Table 2: Terms used in descriptive analysis of peanut treatments during the shelf life study.
2.6. Consumer Study of Roasted Peanuts

Roasted peanuts were subjected to an acceptability test with 79 participants that were screened based on peanut product usage. Approval from the university’s IRB (Project ID MOD00002419) was obtained before undertaking the study. Both liking (liking of appearance, roasted peanut, sweetness, texture, and overall liking) and intensity (intensity of bitterness and stale flavor) questions were asked in the test. A 9-point hedonic scale (1 = dislike extremely to 9 = like extremely) was used for the liking questions while a 9-point category scale was used for the intensity questions. Three demographic questions on peanut consumption were also asked. Data was collected on paper ballots.

2.7. Statistical Analysis

One-way and two-way Analysis of Variance (ANOVA) were used to analyze the data in this experiment using the GLM Procedure in the SAS software (Version 9.4, SAS Institute, Cary, NC). Means comparison was completed using Tukey’s HSD procedure. Principal Component Analysis (PCA) was performed using XLSTAT (Version 2016, Addinsoft, New York, NY).

3. Results and Discussion

3.1. Instrumental Parameters

Moisture change after blanching for both control treatments was significantly different () from the IR heated samples within the same moisture category (Table 3). Because these samples were blanched using the conventional hot air blanching method, which required much longer time, the moisture change was greater (23.8–40.8% by weight based on the initial moisture content). IR samples did not experience significant amounts of moisture loss (9.1–15.8% by weight based on the initial moisture content) because IR heating is largely a surface only treatment, which took much less time and thus did not remove much water from the peanuts. High moisture loss should correlate with higher rates of blanchability for peanuts that lost more moisture because moisture loss is the most important factor that affects blanchability [6]. The CIE value is an indicator of the degree of roasting of peanuts. For all samples, values were >61 (64.00–68.25) indicating that all samples were still considered to be raw after blanching (Table 3). An value greater than 61 is the standard that indicates an under roasted or raw peanut [19, 20].

Table 3: Mean moisture content (% wet weight basis; before and after blanching) and lightness values (CIE ; after blanching) of peanuts for the various treatments.

The blanchability results (Table 4) showed no statistical differences among the six treatments, although it was observed that the percent total blanched was higher for the low moisture (6%) control and IR treatments (84.53–87.91%) compared to the high moisture (9%) treatments (74.76–80.80%). Similarly, the number of blanched whole kernels was higher for the low moisture treatments. In industry, the standard for blanchability has been determined to be >85% and the low moisture treatments in this study were comparable to the industry standard [6]. Previous studies on blanching using the conventional hot air oven for times from 30 to 60 min produced blanchabilities between 71% and 75% with 2.94% being the lowest final moisture content [5]. Study on the use of IR heating for blanching large runner peanuts found blanchabilities to be between 76% and 86% [17]. As previously mentioned, the largest driving force in determining blanchability is moisture loss [6]. The lower amount of moisture loss in the IR blanched peanut kernels in this study is most likely due to the surface level heating of the IR treatments and the much lower processing times. Processing times for IR treatments were either 1 or 1.5 min compared to the 20 min for the control treatments or the 30 to 60 min as the industry standard.

Table 4: Blanching results (%) for the treatment combinations used in this study.

In this study, peroxide values (Table 5) ranged between 3.98 and 7.34 mM/kg oil when the entire storage period of six weeks was considered. Although the peroxide values increased slightly over the course of the study, all values in IR treatments were below the limits set forth by the international standards for oils free of rancidity. International food standards as set by the Codex Alimentarius Commission state that fats and oils that are free from foreign and rancid odors and tastes should not exceed peroxide value of 10 mM/kg oil [21].

Table 5: Peroxide values of the blanched peanut samples.
3.2. Shelf Life Descriptive Sensory Analysis of Blanched Peanuts

Oxidative changes followed by oxidized, cardboard, painty, and fishy flavors are the most common deteriorative defect in high fat products such as peanuts. The main reason for oxidative changes in peanuts is the autoxidation of linoleic acid, which is also known as flavor reversion [22, 23]. The shelf life descriptive study results (Table 6) showed no indication of any oxidative changes in any of the samples over the storage period of six weeks (<0.33 on a scale of 15). This result is also supported by the peroxide values for the samples as noted in the previous section. In the study by Kettler et al., none of the IR blanched samples developed any oxidative notes when stored for 18 weeks at room temperature (~23°C). At the six-week mark, none of the samples had any off flavor due to oxidative changes [17]. In another similar descriptive shelf life study of 28 weeks, there were no perceived statistically significant differences found between blanched and unblanched peanuts stored at 26°C [24].

Table 6: Descriptive sensory analysis results for the blanched peanut samples over a 6-week storage at room temperature (~23°C).

The most variable attribute in the samples over time was fracturability. Over time, fracturability increased in all the samples, especially in the low moisture samples. The average increase in fracturability across all the six samples was 0.96 (range: 0.48 to 1.40) on a scale of 15. This was probably due to some loss in moisture during storage. No differences were found in the oiliness or raw/beany character of any group at any time. These two attributes are normal positive attributes associated with raw peanuts.

3.3. Consumer Study of Roasted Peanuts

Seventy-nine consumers participated in the study, out which 43 were male and 36 were female participants. Seventy-two percent of the respondents were under the age of 55 years. Around 50% of the participants consumed peanuts or peanut products 2-3 times a week. Roasted peanuts (71%) and peanut butter (68%) were the most popular forms of product consumed, followed by boiled peanuts (41%) and peanut bars (37%).

Scores for overall liking show that control and IR 1 without any holding were the most liked samples with very similar score (Table 7), while IR 2 without any holding time was the least liked sample. Consumers (37/79) detected a higher intensity of staleness in IR2 (1-day hold), which was an anomaly that could not be explained, although the peroxide value (10 mM/kg of oil) was also the highest in this sample. All samples that were held for 30 days before roasting were in between the most and least liked samples while the control for 30 days of holding had a score of less than five. Some specific aspects that are of concern and may contribute to the variations in liking score were the intensities of bitter and stale flavors. Although all the samples were roasted to medium roast levels (.5), it may have been a higher level of roast for the small-sized peanuts. This reflected in the bitterness intensity scores (4.59–5.25) and the overall liking scores (4.42–5.53) and from the comments of the participants who indicated that the peanut samples were overroasted. The liking score of the control treatment and IR 1 was lower for the 30-day stored blanched peanuts, while the score improved a little for the IR2 (30-day hold). Liking scores that are less than 6 indicate that consumers had a degree of disliking for samples and might indicate the presence of oxidative by-products and Maillard reaction products giving the samples some staleness and bitterness, respectively [25, 26]. Overall, it can be stated that the differences in acceptability were minimal between the controls and the IR blanched peanuts that were either freshly roasted (1-day hold) or roasted after a 30-day hold.

Table 7: Consumer acceptability study results for roasted peanuts.

4. Conclusions

Infrared heating is a viable alternative to conventional blanching. Blanchability results and data from the descriptive shelf life study of blanched peanuts were consistent with results seen in other studies. The best outcomes in blanching were a result at heating to 287.8°C for 90 s. When applied to peanuts with lower initial moisture content of approximately 6% this treatment results in the best blanchability while limiting off flavor formation. The result stated above indicates that a high temperature and short time treatment with low initial moisture content (<6%) might be the best option if IR heating is to be applied to peanut blanching. Although the sensory data from the shelf life study of the blanched peanuts had the best results with a low temperature for longer time, the high temperature short time method results had only minor differences.

Peanuts blanched using IR technology that were subsequently roasted by conventional method were comparable to their counterparts. Ideally, peanuts should be roasted directly after blanching to achieve the highest likeability and acceptance. However, a 30-day storage period did not change acceptability much. In future, an all-infrared blanching and roasting methods could be explored with small-sized peanuts.


First author is Ms. Catherine Smith.

Conflicts of Interest

The authors declare no conflicts of interest.


The authors thank Mr. Michael Woodall (Director, Research & Development, Lewis M. Carter Manufacturing) for supplying the peanut samples and Mr. Carl Ruiz and Mr. Glenn Farrell for help during experimental phase of this study. Thanks are also due to Ms. Paula Scott for managing the descriptive sensory panel used in the shelf life study and for administering the consumer acceptability test.


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