Next Article in Journal
Locally Linear Embedding as Nonlinear Feature Extraction to Discriminate Liquids with a Cyclic Voltammetric Electronic Tongue
Previous Article in Journal
Electrode Modified with Tin(IV) Oxide Nanoparticles and Surfactants as Sensitive Sensor for Hesperidin
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Optical Biosensor for the Detection of Hydrogen Peroxide in Milk †

1
School of Agrarian and Veterinary Sciences, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
2
INESC TEC-Institute for Systems and Computer Engineering, Technology and Science and Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
3
Department of Physics, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry, 1–15 July 2021; Available online: https://csac2021.sciforum.net/.
Chem. Proc. 2021, 5(1), 55; https://doi.org/10.3390/CSAC2021-10466
Published: 30 June 2021

Abstract

:
Over the years, the food industry’s concern to provide safe food that does not cause harm or illness to consumers has increased. The growing demand for the detection of compounds that can contaminate food is increasingly important. Hydrogen peroxide is frequently used as a substance to control the growth of microorganisms in milk, thus increasing its shelf life. Here, a strategy is presented for the detection of hydrogen peroxide as a milk adulterant, using a single shot membrane sensor. The lowest concentration measured with this technique was 0.002% w/w of H2O2 in semi-fat milk.

1. Introduction

Milk is one of the most complete foods for humans, containing nutrients including carbohydrates, proteins, fats, minerals, and vitamins [1].
Owing to its rich composition, milk becomes a substrate for the growth of undesirable microorganisms that can easily deteriorate the product. To prevent this from happening, prohibited substances are fraudulently added [2]. Hydrogen peroxide (H2O2), hypochlorite, formaldehyde, potassium dichromate, and salicylic acid are examples of substances used as adulterants that need monitoring and quality control as they are toxic to humans [3].
In the case of H2O2, it is widely used in the dairy industry as an antimicrobial agent, thus helping to preserve raw milk in the absence of refrigeration [4]. Despite its conventional use, when added to milk, H2O2 can cause a decrease in the nutritional value of the food due to the destruction of vitamins A and E, which generate reactive and cytotoxic oxygen species, including hydroxyl radicals, that can initiate oxidation and damage nucleic acids, lipids, and proteins. Consequently, when ingested, milk can lead to negative effects on the health of the population, especially in immunocompromised people [2,4].
In the USA, hydrogen peroxide is used in cheese production in concentrations up to 0.05% w/w, however, in other countries, its addition is prohibited due to its toxic effects. A peroxide concentration > 0.1% w/w has been proven to induce cancer in the duodenum of mice and present short-term genotoxicity [3].
Here, a study is presented for the detection and quantification of H2O2 using a chemiluminescence technique. A small, low-cost hydroxyethyl cellulose sensitive membrane combined with a high-sensitive photodetector is used to measure H2O2 concentrations in semi-fat milk samples.

2. Materials and Methods

The sensing methodology is based on the detection of a luminescence signal from the chemical reaction within a solid membrane produced with hydroxyethyl cellulose (HEC, Sigma Aldrich, Taufkirchen, Germany), luminol, sodium phosphate, cobalt (II) chloride hexahydrate, sodium lauryl sulphate (SLS), and ethylenediaminetetraacetic acid (EDTA).
The procedure established by Omanovic-Miklicanin [5] was refined to establish experimental protocols. For the determination of H2O2 in very low concentrations, the sensor sensitivity should be as high as possible. Therefore, the systematic optimization of the membrane was necessary. Only one constituent was varied at a time, keeping the remaining constituents unchanged. After membrane optimization, the final concentrations of these constituents were set to luminol (0.2 mg), sodium phosphate (8.6 mg), SLS (60 μL, 34.36 mmol/L), cobalt hydroxide (100 μL, 5.0 mmol/L), EDTA (2 µL, 20 µmol/L), and HEC (150 mg) was added to 10 mL of Milli-Q® water.
The membrane solution was placed on a magnetic stirrer for 30 min. Individual 3D printed cups were used, and 1000 µL of membrane solution was added and dried for 4 h (T = 70 °C). After drying, the membranes were stored in a desiccator under a vacuum. For the measurement procedure, the membrane was placed directly onto the membrane holder on top of the detector. The light emission was measured by adding 500 µL of the sample solution.
For straight and rapid spectrophotometric H2O2 detection, a detection module was built containing a highly sensitive detection system with a photodiode (model S8746-01 Hamamatsu Japan), a dedicated amplification system with variable gain, and an embed controlling unit. The sensitive optoelectronic system was isolated inside of a custom-made 3D printed case allowing the easy replacement of the sensing membrane and allowing the sample pipetting, preventing the detection of the ambient light. This module was powered with a low noise power source, and the data was acquired and analyzed with a user-friendly graphical interface (GUI) and a raspberry pi (Figure 1).

3. Results and Discussion

Semi-fat milk samples were adulterated with H2O2 concentrations from 0.001% w/w to 0.006% w/w by diluting a standard 30% w/w solution of H2O2. The variation of the chemiluminescent intensity is presented in Figure 2 for all samples, together with the time integral of the decaying chemiluminescent signal for each H2O2 concentration.
Taking into consideration that 0.05 % w/w of H2O2 is the defined limit for the FDA in milk for cheese production [6], the developed sensor would be suitable for determinations of H2O2 as a fraud controller in milk samples within the legal limits of different countries. Moreover, to achieve a more practical approach to the commonly time-consuming sample preparation methods, the pre-treatment step was successfully eliminated. In fact, the optimized sensor requires minimal solvent use and waste production. When compared with other methods available for the determination of H2O2 presence in milk, this portable biosensor is an easy and reliable method that ensures the required sensitivity while offering a low time of analysis and no need for additional laboratory equipment.
The methodology developed and optimized demonstrates that it is possible to detect very low concentrations of H2O2 (down to 0.001 % w/w in an aqueous system). As the H2O2 concentration increased, the intensity of the emitted light and the reaction time increased. Low limits of detection were achieved, thus indicating the applicability of this assay to real samples exhibiting the required sensitivity for the analytical determination of H2O2 in biological samples such as milk.
In this work, the reaction of H2O2 and luminol catalyzed by cobalt hydroxide was used to detect H2O2 in milk; however, another spectrophotometric method was described by Lima et al. [2] for the detection of H2O2 in milk, using the reaction between hydrogen peroxide and guaiacol, catalyzed by peroxidase, producing a red product, where a low detection limit was obtained.

4. Conclusions

The proposed sensor provided to be a rapid, cost-effective, and environmentally friendly approach for the determination of hydrogen peroxide as a milk adulterant. This optimized and validated method has a very good linearity range when the sample is in its liquid state, where concentrations of H2O2 as low as 0.001% w/w can be detected with good repeatability. As a practical application for this methodology under controlled conditions, an adulterated milk sample was analyzed. Concentrations of H2O2 of 0.002% w/w to 0.006% were detected, and the method was calibrated for semi-fat milk, proving that the limit of detection and linearity range of the proposed method are suitable for the analysis of milk samples in loco, which can add value to the food fraud department. Moreover, the reagents required are commonly used in analytical laboratories, are inexpensive, and can be consumed in low amounts (500 µL), thus resulting in negligible and non-toxic waste generation. In addition to the mentioned advantageous features, the proposed method validation is comparable to those found in the literature.

Supplementary Materials

The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/CSAC2021-10466/s1.

Author Contributions

Writing—review and editing, H.V., A.M., J.M., J.A., B.D. and P.S.; supervision, L.C.C.C., P.J., C.S. and J.M.M.M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Funds through the Portuguese funding agency, FCT—Fundação para a Ciência e a Tecnologia, within project UIDB/50014/2020. Helena Vasconcelos acknowledges the support from FCT grant SFRH/BD/120064/2016 and Luís Coelho acknowledges the support from FCT research contract grant CEECIND/00471/2017.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

This work was financed by National Funds through the Portuguese funding agency, FCT—Fundação para a Ciência e a Tecnologia, within project UIDB/50014/2020. Helena Vasconcelos acknowledges the support from FCT grant SFRH/BD/120064/2016 and Luís Coelho acknowledges the support from FCT research contract grant CEECIND/00471/2017.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Handford, C.E.; Campbell, K.; Elliott, C.T. Impacts of Milk Fraud on Food Safety and Nutrition with Special Emphasis on Developing Countries. Compr. Rev. Food Sci. Food Saf. 2016, 15, 130–142. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Lima, L.S.; Rossini, E.L.; Pezza, L.; Pezza, H.R. Bioactive Paper Platform for Detection of Hydrogen Peroxide in Milk. Spectrochim. Acta—Part A Mol. Biomol. Spectrosc. 2020, 227, 117774. [Google Scholar] [CrossRef] [PubMed]
  3. Lima, M.J.A.; Sasaki, M.K.; Marinho, O.R.; Freitas, T.A.; Faria, R.C.; Reis, B.F.; Rocha, F.R.P. Spot Test for Fast Determination of Hydrogen Peroxide as a Milk Adulterant by Smartphone-Based Digital Image Colorimetry. Microchem. J. 2020, 157, 105042. [Google Scholar] [CrossRef]
  4. Robinson, B.R.; D’Amico, D.J. Hydrogen Peroxide Treatments for the Control of Listeria Monocytogenes on High-Moisture Soft Cheese. Int. Dairy J. 2021, 114, 104931. [Google Scholar] [CrossRef]
  5. Omanovic-Miklicanin, E.; Valzacchi, S. Development of New Chemiluminescence Biosensors for Determination of Biogenic Amines in Meat. Food Chem. 2017, 235, 98–103. [Google Scholar] [CrossRef] [PubMed]
  6. CFR—Code of Federal Regulations Title 21. Available online: https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/cfrsearch.cfm (accessed on 6 June 2021).
Figure 1. Schematic diagram of the analyte detection.
Figure 1. Schematic diagram of the analyte detection.
Chemproc 05 00055 g001
Figure 2. (a) Variation of the intensity of the light emission for the concentrations of 0.002, 0.004, and 0.006% w/w as a function of time; (b) Time integral of the decay time for each H2O2 concentration.
Figure 2. (a) Variation of the intensity of the light emission for the concentrations of 0.002, 0.004, and 0.006% w/w as a function of time; (b) Time integral of the decay time for each H2O2 concentration.
Chemproc 05 00055 g002
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Vasconcelos, H.; Matias, A.; Jorge, P.; Saraiva, C.; Mendes, J.; Araújo, J.; Dias, B.; Santos, P.; Almeida, J.M.M.M.; Coelho, L.C.C. Optical Biosensor for the Detection of Hydrogen Peroxide in Milk. Chem. Proc. 2021, 5, 55. https://doi.org/10.3390/CSAC2021-10466

AMA Style

Vasconcelos H, Matias A, Jorge P, Saraiva C, Mendes J, Araújo J, Dias B, Santos P, Almeida JMMM, Coelho LCC. Optical Biosensor for the Detection of Hydrogen Peroxide in Milk. Chemistry Proceedings. 2021; 5(1):55. https://doi.org/10.3390/CSAC2021-10466

Chicago/Turabian Style

Vasconcelos, Helena, Ana Matias, Pedro Jorge, Cristina Saraiva, João Mendes, João Araújo, Bernardo Dias, Paulo Santos, José M. M. M. Almeida, and Luís C. C. Coelho. 2021. "Optical Biosensor for the Detection of Hydrogen Peroxide in Milk" Chemistry Proceedings 5, no. 1: 55. https://doi.org/10.3390/CSAC2021-10466

APA Style

Vasconcelos, H., Matias, A., Jorge, P., Saraiva, C., Mendes, J., Araújo, J., Dias, B., Santos, P., Almeida, J. M. M. M., & Coelho, L. C. C. (2021). Optical Biosensor for the Detection of Hydrogen Peroxide in Milk. Chemistry Proceedings, 5(1), 55. https://doi.org/10.3390/CSAC2021-10466

Article Metrics

Back to TopTop