Green Chemistry, AI, and Smart Sensing Technologies for Food Adulteration Detection

The adulteration of food has become a major global concern, posing significant risks to human health, food safety, consumer trust, and regulatory compliance. As food supply chains become increasingly complex and the demand for rapid, reliable, and sustainable detection methods grows, traditional analytical approaches often struggle to meet modern challenges. Emerging scientific and technological innovations are transforming the detection of food adulteration, enabling more accurate, efficient, and environmentally responsible monitoring. Continued research highlights the importance of minimizing environmental impact through green analytical methods while enhancing detection accuracy, scalability, and decision-making through AI-driven models. Green Chemistry, AI, and Smart Sensing Technologies for Food Adulteration Detection explores the integration of green chemistry, artificial intelligence, and smart sensing technologies to develop intelligent, sustainable, and highly effective food authentication systems. It highlights innovative approaches that support real-time, high-sensitivity analysis of food quality and authenticity. Covering topics such as big data analytics, hyperspectral imaging, and predictive analytics, this book serves as a valuable resource for business leaders, engineers, policymakers, researchers, scientists, and food industry professionals seeking advanced solutions to combat food fraud and ensure product integrity.

Sheng-Lung Peng is a distinguished academician, researcher, and administrator currently serving as Professor at National Taipei University of Business, Taiwan, where he also holds leadership roles including Dean of the School of Innovative Design and Management. With a Ph.D. in Computer Science from National Tsing Hua University, Taiwan, he has over 25 years of teaching, research, and academic leadership experience. His research interests span Artificial Intelligence, Bioinformatics, Combinatorics, Data Mining, and Networking, with a strong record of high-impact publications, edited books, keynote talks, and international collaborations. Dr. Peng has held numerous prestigious appointments, including Honorary and Adjunct Professorships in China, India, and Taiwan, and has actively contributed to the global academic community as a conference chair, keynote speaker, editorial contributor, and research mentor. His scholarly and professional achievements reflect a sustained commitment to advancing innovation in computing, interdisciplinary research, and higher education leadership.

Udit Mamodiya is an Associate Professor and Associate Dean (Research) at Poornima University, Jaipur. With over 11 years of teaching, research, and administrative experience, his expertise spans renewable energy systems, industrial automation, IoT-based smart product development, and artificial intelligence applications. He has authored 60+ research publications in SCI/Scopus/UGC Care journals (with 600+ citations, h-index 15+), published 19 engineering books, and contributed as Guest Editor for Scopus-indexed journals. His innovation portfolio includes 50+ patents (6 granted), 18 design patents, and 9 copyrights. Dr. Mamodiya has successfully secured research grants worth ₹51.89 lakhs, including an AICTE-funded IDEA Lab project of ₹50.39 lakhs, making his institution the only one in Rajasthan with such a lab. He is an active reviewer, editor, and committee member for several international conferences and journals, and a member of professional bodies like ACM, ISTE, IRED, and ASR. His contributions have been recognized with multiple awards, including the Global Educational Award 2020, Asian Excellence Award 2019, and two Gold Medals (B.Tech & M.Tech).

Manju Lata Joshi , Professor, Poornima University, India holds an M.Tech. and a Doctorate in Computer Science from Banasthali Vidyapith. Her current research interests encompass Artificial Intelligence, Natural Language Processing, Information Retrieval, and Text Mining. With over 20 years of experience in teaching and research, she has published research papers in prestigious journals indexed in the Science Citation Index (SCI) and Scopus, both nationally and internationally. Furthermore, she serve on the review and advisory committees of several refereed journals and conferences. She has contributed to multiple institutions, mentored students, chaired sessions and led research in AI-based NLP, information retrieval Image Recognition, and Mental Health Care. She is also actively involved in academic advisory boards, technical committees, and conferences. She has also been instrumental in mentoring young minds, guiding Ph.D. scholars & post graduates, and contributing to various academic and research aspects like curriculum development in emerging areas such as NLP, Artificial Intelligence, Pattern Recognition, and Health care Technologies. She is the proud member of IAENG and ACM-W.

Shikha Khullar is an accomplished academic and researcher with a Ph.D. in Data Mining and Artificial Intelligence. She currently serves as an Associate Professor at Poornima University, where she is recognized for her dedication to academic excellence and her dynamic involvement in radical research. With a deep-rooted passion for innovation and discovery, Dr. Khullar actively engages in interdisciplinary research that bridges technology and real-world applications, particularly in areas such as intelligent systems, smart data analytics, and sustainable digital solutions. Her work is characterized by a forward-thinking approach, where she not only explores theoretical models but also contributes to practical implementations that address pressing societal and industrial challenges. At Poornima University, she has been instrumental in mentoring young minds, guiding Ph.D. scholars, and contributing to curriculum development in emerging areas such as Artificial Intelligence, Blockchain, and Smart Agriculture Technologies. She is the proud member of ACM-W, IAENG and ERDA