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Honey is characterized as a natural and raw foodstuff that can be consumed not only as a sweetener but also as medicine due to its therapeutic impact on human health. It is prone to adulterants caused by humans that manipulate the quality of honey. Although honey consumption has remarkably increased in the last few years all around the world, the safety of honey is not assessed and monitored regularly. Since the number of consumers of honey adulteration have increased in recent years, their trust and interest in this valuable product has decreased. Honey adulterants are any substances that are added to the pure honey. In this regard, this paper provides a comprehensive and critical review of the different types of adulteration, common sugar adulterants and detection methods, and draws a clear perspective toward the impact of honey adulteration on human health. Adulteration increases the consumer’s blood sugar, which can cause diabetes, abdominal weight gain, and obesity, raise the level of blood lipids and can cause high blood pressure. The most common organ affected by honey adulterants is the liver followed by the kidney, heart, and brain, as shown in several in vivo research designs.

Food adulteration refers to the alteration of food quality that takes place deliberately. It includes the addition of ingredients to modify different properties of food products for economic advantage. Color, appearance, taste, weight, volume, and shelf life are such food properties. Substitution of food or its nutritional content is also accomplished to spark the apparent quality. Substitution with species, protein content, fat content, or plant ingredients are major forms of food substitution. Origin misrepresentation of food is often practiced to increase the market demand of food. Organic and synthetic compounds are added to ensure a rapid effect on the human body. Adulterated food products are responsible for mild to severe health impacts as well as financial damage. Diarrhea, nausea, allergic reaction, diabetes, cardiovascular disease, etc., are frequently observed illnesses upon consumption of adulterated food. Some adulterants have shown carcinogenic, clastogenic, and genotoxic properties. This review article discusses different forms of food adulteration. The health impacts also have been documented in brief.

Identifying chemical entities in complex mixtures is crucial for advancing research in natural products and metabolomics. This enables the discovery of unique structures and bioactive compounds. Dereplication analysis streamlines this process by rapidly identifying known compounds, reducing redundant efforts, and accelerating the exploration of bioactive entities. NMR is the most effective technique for the identification of small organic molecules due to its robust structural elucidation capabilities. However, challenges such as low sensitivity and complex sample matrices often lead to overlapping NMR signals and spectral ambiguities. Artificial intelligence (AI), especially deep learning, has revolutionized dereplication by significantly enhancing pattern recognition in applications ranging from regression and classification to clustering. This review explores the origins, development, and principles of dereplication techniques, as well as the features of mass spectrometry and NMR. It also delves into the advancements in AI-enhanced NMR dereplication, elucidating the principles for various models and the key issues they address during the dereplication process. Furthermore, it covers the methods for constructing reference databases, and the usability and accessibility of these models. These insights can assist researchers, including those new to AI algorithms, in rapidly adopting and implementing these advanced methods. Moreover, this review highlights the broader utility of dereplication methods in fields such as the detection of illegal additives in cosmetics, emphasizing their potential applications in a wider range of fields.

Saffron is a unique spice obtained by drying stigmas of saffron flowers ( Crocus sativus L.). Due to its high price, economically motivated adulteration occurs relatively often. The presented study aimed to develop an effective strategy for the detection of the following potential botanical adulterants used for a saffron substitution or dilution: safflower ( Carthamus tinctorius L.), calendula ( Calendula officinalis L.) , turmeric ( Curcuma longa L.), achiote ( Bixa orellana L.), red pepper ( Capsicum spp.), mountain arnica ( Arnica montana L.), beet ( Beta vulgaris L.), and pomegranate ( Punica granatum L.). A non-target screening strategy based on ultra-high performance reverse-phase liquid chromatography coupled to tandem high-resolution mass spectrometry (UHPLC-HRMS/MS) was employed for the analysis of an aqueous ethanol plant extract. By using multivariate statistical methods, principal components analysis (PCA), and partial least squares discriminant analysis (PLS-DA), for processing the generated “chemical fingerprints,” metabolites unique to the investigated plants could be identified. To enable routine saffron authenticity control by target screening, an internal spectral database was developed; currently, it involves 82 unique markers. In this way, the detection addition as low as 1% ( w/w ) of all analyzed botanical adulterants in admixture with saffron was possible. The developed method was used to control 7 saffron powder samples from the Czech market, and none of the monitored adulterants were confirmed.

Background The opioid overdose crisis is one of the worst public health crises ever to face the US and emerging evidence suggests its effects are compounded by the presence of drug adulterants. Here we report our efforts to characterize the adulterants present within the local fentanyl supply of San Diego County, obtained from undifferentiated drug samples seized by local law enforcement over the calendar year 2021. Methods Thirty-two participating local law enforcement agencies across San Diego submitted 4838 unknown individual illicit drug samples (total of 312 kg) to the San Diego County Sheriff’s Department Regional Crime Laboratory for identification. Results Qualitative analysis of these samples via FTIR and GC-MS identified methamphetamine (38.7%), fentanyl (20.8%), diacetylmorphine (heroin) (10.2%), codeine (5.8%) and alprazolam (4.3%) as the most common illicit substances and the presence of 52 unique adulterants. The most common adulterants included 4-methylaminoantipyrine (4-MAAP) (10.9%), mannitol (9%), acetaminophen (8.5%), methamphetamine (4.2%), diacetylmorphine (heroin) (3.6%), tramadol (1.9%), and xylazine (1.7%). Several additional pharmacologically active adulterants and contaminants of interest were also identified. Conclusion This analysis is vital for public health use and harm reduction efforts at the level of the individual consumer. Continued direct surveillance of the drug supply is necessary for the detection of potentially harmful adulterants that may pose serious threats to the public.

The food Adulteration now becomes a worldwide issue as the emergent nations are at very high risk associated with this Adulteration. The milk is an important part of our daily life and is consumed on the daily basis but, now a days milk is being adulterated by several chemicals due to lack of monitoring, unhygienic conditions and for financial gain. Unfortunately, various chemical Adulterants can pose danger health risks that lead to many lethal diseases including heart problems, diarrhoea, CNS disorders, irritation and gastrointestinal disorders. Various common Adulterants like benzoic acid, urea, water, skimmed milk powder, sugar, detergent were detected in the pure milk samples which concludes that the milk samples doesn’t meet the expected quality accepted as standard. Many studies have been carried out on milk Adulteration and detection techniques. This Present work gives a clear view of the quality of milk. This article gives a comprehensive review of the common Adulterants added in milk along with the various methods of detection qualitatively.

Accurate prediction of hydrophobic–hydrophilic channel barriers is essential in the fabrication of paper-based microfluidic devices. This research presents a detailed parametric analysis of wax printing technique for fabricating µPADs. Utilizing commonly used Grade 1 filter paper, experimental results show that the wax spreading in the paper porous structure depends on the initially deposited wax line thickness, a threshold melting temperature and melting time. Initial width of the printed line has a linear relationship with the final width of the barrier; however, a less pronounced effect of temperature was observed. Based on the spreading behavior of the molten wax at different parameters, a generalized regression model has been developed and validated experimentally. The developed model accurately predicts wax spreading in Whatman filter paper: a non-uniform distribution of pores and fibers. Finally, tests were carried out for calorimetric detection of commonly used adulterants present in milk samples.

Food Adulteration is a deceptive act of misleading food buyers for economic gain. It has been a major concern due to its risk to public health, reduction of food quality or nutritional value. It is a food fraud that has incensed the food industry and has attracted the attention of the community since the last century. To ensure consumer protection against fraudulent activities, authentication of food and the detection of adulterants in various food items should be taken into consideration. Artificial Intelligence has been proved to be an advanced technology in food science and engineering. In this paper, we intend to proclaim the role of artificial intelligence in food adulteration detection in a systematic way. The potential for machine learning and deep learning in food quality has been analyzed through its applications. Various data sources that are available online to detect food quality have been discussed in this review. The different techniques used to detect food adulteration and the parameters considered while evaluating the food quality have been highlighted. The various comparisons have been done among the state-of-the-art methods along with their datasets sets and results. This study will assist the researchers in analyzing the best method available to detect food quality. It will help them in finding the food products that are studied by different researchers along with relevant future research directions.

Electrochemical sensors have become a pivotal tool in ensuring the safety and security of the global food supply chain, which is crucial for public health, economic stability, and environmental sustainability. Modern food systems, with their complex global distribution and varied processing methods, require advanced solutions for detecting contaminants and maintaining food quality. This review delves into recent advancements in electrochemical food sensor technology, highlighting their operating principles, types, cutting-edge materials, and methods enhancing their effectiveness. These sensors are adept at identifying a broad range of foodborne pathogens, chemical contaminants, and adulterants while monitoring food freshness and quality. Innovations include using nanomaterials and conductive polymers and shifting towards miniaturized, portable devices for on-site and real-time analysis. The review also addresses challenges such as sensitivity, selectivity, and matrix effects, pointing out emerging trends and future research avenues to overcome these hurdles. Regulatory and standardization issues relevant to adopting these technologies in food safety protocols are also considered. Highlighting the last three years, this review emphasizes the indispensable role of electrochemical sensors in boosting food safety and security and the need for ongoing innovation and cross-disciplinary cooperation to advance this area.

•An in-depth study of a crucial aspect of illicit drug market.•Extensive empirical information on cocaine and heroin adulteration/dilution.•Investigation of the evolution of cutting from 2006 to 2014 in western Switzerland.•A comparison of the structure of cocaine and heroin markets. Forensic laboratories mainly focus on the qualification and the quantitation of the illicit drug under analysis as both aspects are used for judiciary purposes. Therefore, information related to cutting agents (adulterants and diluents) detected in illicit drugs is limited in the forensic literature. This article discusses the type and frequency of adulterants and diluents detected in more than 6000 cocaine specimens and 3000 heroin specimens, confiscated in western Switzerland from 2006 to 2014. The results show a homogeneous and quite unchanging adulteration for heroin, while for cocaine it could be characterised as heterogeneous and relatively dynamic. Furthermore, the results indicate that dilution affects more cocaine than heroin. Therefore, the results provided by this study tend to reveal differences between the respective structures of production or distribution of cocaine and heroin. This research seeks to promote the systematic analysis of cutting agents by forensic laboratories. Collecting and processing data related to the presence of cutting agents in illicit drug specimens produces relevant information to understand and to compare the structure of illicit drug markets.