Performance of bees and beehive products as indicators of elemental tracers of atmospheric pollution in sites of the Rome province (Italy)

Conti, Marcelo Enrique; Astolfi, Maria Luisa; Mele, Giustino; Ristorini, Martina; Vitiello, Giulia; Massimi, Lorenzo; Canepari, Silvia; Finoia, María Grazia

doi:10.1016/j.ecolind.2022.109061

Cited by 12 publications

(6 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Not only as pollinators, bees have also been used in previous studies as indicators to measure the level of health or contamination of an environment. Scientifically it has been proven that bees are indeed excellent bio-monitors because of their bio-accumulation abilities as proven by the high OBI-U value [ 25 ]. With the ability of bees to act as bio-indicators, parameter indicators related to bees were used in assessing pesticide safety levels toward the environment.…”

Section: Resultsmentioning

confidence: 99%

Decision support model to assess pesticide safeness toward environment

Gunawan,

Utama

2024

Environ Anal Health Toxicol

View full text Add to dashboard Cite

For farmers around the world to protect crops from disturbing pests, it is common to use pesticides to ward off the growth of pests or even eliminate them. Even though pesticides are seen as a good thing for protecting crops, there is one thing that mustn’t be forgotten the origin of the pesticide itself is a toxin compound that is dangerous if used irresponsibly. The main concern of this study is excessive use of pesticides may cause serious consequences to the ecosystem and environment through the accumulation of pesticide residue by irresponsible farmers. To minimize the effects of pesticide residues, the selection of the type of pesticide needs to be considered which type may not be harmful to the environment's health even though accumulation happens. Therefore, in this study, a fuzzy-based computational model assessor was built to measure the safety level of pesticides toward the environment. The fuzzy model was created with consideration of several parameters related to pesticide behaviors, its effects on beneficial organisms, and its persistence in the environment. The method used for this study includes literature reviewing, fuzzification, statistical approach, expert knowledge sharing, and quantitative analysis. The model created in this study can assist in a more accurate and realistic method of selecting better pesticide options that will be used by farmers. To ensure the validity of the model, verifying and validating the formula and pesticide result assessment were done with related literature articles. In this study, from 10 types of pesticides used as a sample, dodine, and iprodione pesticides are the best option for protecting crops with a safety level of 7.36, and abamectin, dimethoate, chorpyrifos, and methidathion are not safe options for farming use because of its potential of harming the environment.

show abstract

Section: Resultsmentioning

confidence: 99%

Decision support model to assess pesticide safeness toward environment

Gunawan,

Utama

2024

Environ Anal Health Toxicol

View full text Add to dashboard Cite

show abstract

“…For elemental analysis, the bees of each hive were sampled as described by Astolfi et al (2022) and were freeze-dried without being previously washed (Astolfi et al 2020(Astolfi et al , 2021(Astolfi et al , 2022Conti et al 2022aConti et al , 2022b. Once freeze-dried, the bees are crushed using a mortar and pestle to be homogenized into as fine a powder as possible.…”

Section: Study Area and Samplingmentioning

confidence: 99%

“…Bees have since been extensively studied to extend the knowledge to comprehend their decline better, but also because bees can be considered bioindicators. Indeed, thanks to their capability to absorb elements or chemicals from their surroundings, and mostly because their foraging activity gives a realistic and complete screening of the near environment to the bee colony (Conti et al 2022a(Conti et al , 2022b. During their foraging activity, that is to say, when they collect nectar and pollen from flowers, they also collect pollutants that are present on the flower, in the pollen, and the nectar through the soil, water, and air (Zarić et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Landfill fire impact on bee health: beneficial effect of dietary supplementation with medicinal plants and probiotics in reducing oxidative stress and metal accumulation

Giampaoli,

Messi,

Merlet

et al. 2023

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

The honey bee is an important pollinator insect susceptible to environmental contaminants. We investigated the effects of a waste fire event on elemental content, oxidative stress, and metabolic response in bees fed different nutrients (probiotics, Quassia amara, and placebo). The level of the elements was also investigated in honey and beeswax. Our data show a general increase in elemental concentrations in all bee groups after the event; however, the administration of probiotics and Quassia amara help fight oxidative stress in bees. Significantly lower concentrations of Ni, S, and U for honey in the probiotic group and a general and significant decrease in elemental concentrations for beeswax in the probiotic group and Li in the Quassia amara group were observed after the fire waste event. The comparison of the metabolic profiles through pre-and post-event PCA analyses showed that bees treated with different feeds react differently to the environmental event. The greatest differences in metabolic profiles are observed between the placebo-fed bees compared to the others. This study can help to understand how some stress factors can affect the health of bees and to take measures to protect these precious insects.

show abstract

“…The elemental composition of honey has been characterized worldwide. Recent studies investigated honeys from Argentina [48], Bulgaria [40,49,50], China [43,[51][52][53], Croatia [42,49,54,55], Denmark [56], Egypt [57], Eritrea [58], Ethiopia [59], France [60], Germany [56], Greece [37,57,61], Hungary [62,63], Israel [64], Italy [37,38,46,[65][66][67][68][69][70][71][72][73], Kazakhstan [73], Kosovo [74], Montenegro [75], Morocco [49,57], New Zealand [45,56], Poland [37], Romania [37,60], Serbia [74], Slovenia [49], Spain [57,...…”

Section: Introductionmentioning

confidence: 99%

Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions

Mara,

Migliorini,

Ciulu

et al. 2024

Foods

View full text Add to dashboard Cite

Discrimination of honey based on geographical origin is a common fraudulent practice and is one of the most investigated topics in honey authentication. This research aims to discriminate honeys according to their geographical origin by combining elemental fingerprinting with machine-learning techniques. In particular, the main objective of this study is to distinguish the origin of unifloral and multifloral honeys produced in neighboring regions, such as Sardinia (Italy) and Spain. The elemental compositions of 247 honeys were determined using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The origins of honey were differentiated using Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Random Forest (RF). Compared to LDA, RF demonstrated greater stability and better classification performance. The best classification was based on geographical origin, achieving 90% accuracy using Na, Mg, Mn, Sr, Zn, Ce, Nd, Eu, and Tb as predictors.

show abstract

Performance of bees and beehive products as indicators of elemental tracers of atmospheric pollution in sites of the Rome province (Italy)

Cited by 12 publications

References 61 publications

Decision support model to assess pesticide safeness toward environment

Decision support model to assess pesticide safeness toward environment

Landfill fire impact on bee health: beneficial effect of dietary supplementation with medicinal plants and probiotics in reducing oxidative stress and metal accumulation

Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions

Contact Info

Product

Resources

About